By Jayne Schultheis — I feel the need ... the need for page speed. The speed at which your website loads can make or break your online presence. With users increasingly demanding instant access to information, slow page speeds can lead to lost opportunities and decreased engagement.

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In this article, we'll explore practical tools and techniques you can use to boost website performance and best practices for faster load times. Then, your website will be set to keep pace with user expectations, improve its search engine rankings, and stand out in a competitive market. Let's get started.

Why page speed matters

To put it simply, both Google and its users prefer sites that load faster and have a great UX design. Who wouldn't?

User experience and engagement

If a page takes too long, visitors are likely to leave before even seeing your content. According to a study by Google, 53% of mobile users abandon a page if it takes more than 3 seconds to load — and that study was in 2016, when our attention spans were arguably, collectively, a bit longer. The longer a page takes to load, the higher the likelihood of having a high bounce rate. When a user has a positive experience and can quickly access content, they are more likely to engage with your site, browse additional pages, and convert into a valuable customer.

SEO and rankings

While the specific details of Google's search algorithm remain a mystery, speed is a confirmed page ranking factor. Google wants to deliver the best possible user experience in its search results, and slow pages are penalized. A faster-loading page has a better chance of ranking higher in search results, increasing its visibility. Google’s Core Web Vitals, which measure key aspects of user experience such as loading performance, interactivity, and visual stability, have made it even more important to focus on page speed optimization.

Mobile optimization

Since mobile traffic accounts for nearly 60% of global web traffic, optimizing for mobile speed is more important than ever. Mobile users, in particular, expect fast page loads, as they're typically on-the-go. Search engines like Google also use mobile-first indexing, which means the mobile version of your website will determine rankings. This has made many sites shift to responsive design, which involves building your site so it looks good and responds quickly on devices of any size — from smartphones to large monitors.

How to improve your site’s page speed

Website optimization through improved page speed may sound complex, but with the right strategies, you can significantly reduce load times and enhance user experience. Here are some actionable steps to optimize your site's page speed:

Compress and optimize images

Images are often the largest files on a website, and large, unoptimized images can drastically slow down page load times. To improve speed, make sure your images are properly compressed without sacrificing quality.

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• Use the right file formats. Use compressed file formats like JPEG for photographs and PNG for images with transparency. For modern websites, WebP is a newer image format that offers superior compression and quality.
• Resize images. Make sure images aren’t larger than they need to be. Displaying images at a reduced size but loading the full-sized versions can slow down load times. Resize images to the actual dimensions required for display.
• Use image compression tools. Tools like TinyPNG or ImageOptim can help compress image files without losing quality. Many content management systems also have tools that can automate this process, including WordPress optimization plugins.
• Use lazy loading. Lazy loading is a technique that defers the loading of non-essential resources, such as images and videos, until they are needed as the user scrolls down the page. This reduces initial load time, saves bandwidth, and improves user experience by prioritizing visible content. It’s particularly useful for sites with lots of interactive elements, long-scrolling pages, and media-rich content. It can result in accelerated mobile pages, too.

Leverage browser caching

Caching allows frequently accessed resources, such as stylesheets, images, and JavaScript, to be stored in the user's browser, so they don’t need to be downloaded every time a user visits your page. Configure your server to specify how long browsers should keep files stored, effectively setting an "expiration date" for them, so your website doesn't waste time reloading the same resources.

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A CDN (content delivery network) can cache your site’s content across multiple servers worldwide, so users are served content from a server that's physically closer to them. This reduces load times and improves performance, especially for global audiences.

Minimize HTTP requests

Each element on a page, such as images, scripts, and stylesheets, requires a separate HTTP request to the server. The more requests your page makes, the longer it will take to load. By reducing the number of requests, you can significantly improve load times.

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• Combine files. Combine CSS and JavaScript files where possible.
• Inline small scripts. For smaller JavaScript or CSS files, consider inlining them directly into the HTML to avoid extra HTTP requests.
• Limit external resources. Avoid relying too much on third-party resources like external ads, widgets, or fonts, as these can slow down load times and increase HTTP requests.

Use asynchronous loading for JavaScript and CSS

JavaScript and CSS files determine the layout and look of a page. This means that the browser won’t start displaying content until it has fully loaded all of these files. By using "asynchronous" loading techniques, you can allow certain resources to load in the background without blocking the page’s render process.

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Use the async or defer attributes for your JavaScript files. The async attribute allows JavaScript files to load concurrently with the HTML content, while the defer attribute makes sure the script is executed only after the HTML has finished loading. For large CSS files, use the media attribute to load styles only when they are needed (like for print or mobile).

Optimize the critical rendering path

The critical rendering path refers to the sequence of steps a browser follows to convert HTML, CSS, and JavaScript into a visual representation of a webpage. This process involves rendering content in the most efficient way, so users can start interacting with a page as quickly as possible. The critical rendering path includes the steps from receiving the initial HTML document to painting the page on the screen. Any delays in this path (such as rendering-blocking resources like large CSS files or JavaScript) can slow down the perceived load time of a page. These are some ways you can optimize the path.

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• Minify JavaScript, CSS, and HTML. Minification is the removal of unnecessary characters (such as spaces, line breaks, and comments) from your code without affecting its functionality. This reduces file sizes, leading to faster load times. Tools like CSS minifiers and UglifyJS, as well as online minify code services, can remove unnecessary code from your CSS and JavaScript files. Just as you can minify CSS, you can minify your HTML files to remove excess spaces and line breaks.
• Inline critical CSS. For faster page rendering, inline small amounts of critical CSS directly into the HTML, allowing the browser to render above-the-fold content faster without waiting for external CSS files.
• Prioritize above-the-fold content. Make sure that the most important content (the content visible to the user without scrolling) loads first, so the page appears quickly and can be interacted with before the entire page finishes loading.

Enable Gzip compression

Gzip is a compression method that reduces the size of your website’s files, including HTML, CSS, and JavaScript. Enabling Gzip compression can significantly reduce the amount of data your server needs to send to users, speeding up load times.

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Most modern web servers support Gzip, and you can enable it by modifying the server configuration (for example, through .htaccess for Apache servers or using server-side tools for Nginx).

Optimize your web hosting and server

The performance of your hosting provider and server can also impact your site's speed. If your hosting server is slow, no amount of SEO will fully compensate for poor performance.

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• Upgrade your hosting plan. Shared hosting plans are often slower because resources are shared with other websites. Consider upgrading to a VPS (Virtual Private Server) or dedicated hosting if your site is growing.
• Use HTTP/2. HTTP/2 is a newer version of the HTTP protocol that allows multiple requests to be sent at once over a single connection. This can reduce page load times significantly.
• Choose a reliable hosting provider. Make sure your web hosting provider has a reputation for uptime, speed, and reliable performance.

Page speed optimization tools

To effectively optimize your website’s speed, use tools that can analyze, identify, and provide actionable insights for improvement. Here are three of the top speed optimization tools you should consider using:

Google PageSpeed Insights

Google PageSpeed Insights is one of the most widely used tools for analyzing page speed. It provides a comprehensive performance score for both mobile and desktop versions of your site, along with detailed suggestions for improvement. Based on Google's Lighthouse and Web Vitals metrics, the tool evaluates aspects like loading time, interactivity, and visual stability. The recommendations are categorized into Opportunities (to improve performance) and Diagnostics (for more insights). It also provides a clear performance score (0-100) and recommendations for improvements like image optimization, reducing server response time, and leveraging browser caching. This tool is free and offers an easy-to-understand report on ways to boost your site's speed.

GTmetrix

GTmetrix is another popular speed testing tool that gives you a performance score based on Lighthouse and Web Vitals data. What sets GTmetrix apart is its detailed breakdown of performance, showing specific areas of your site that need improvement, such as large files or slow-loading scripts. It also reports on the total page size, load time, and number of requests. You can test from different locations around the world, which is particularly useful for sites with a global audience.

WebPageTest

WebPageTest is a robust and flexible tool that allows you to run tests from multiple locations and on different browsers. It provides detailed performance metrics, including Time to First Byte (TTFB), First Contentful Paint (FCP), and Fully Loaded Time. WebPageTest also offers advanced features such as visual snapshots of your page as it loads, allowing you to identify specific bottlenecks in the page load process. For developers, it provides deeper insights into resource loading and performance improvement.

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This list isn't exhaustive, but gives you a few good resources to start if you plan on conducting website audit or running site speed tests.

Rellify can transform how you do content

If you're feeling bogged down by all the technical details it takes to implement an effective SEO strategy with online content, Rellify can help. With expertise in SEO in all areas, Rellify's comprehensive platform can revolutionize your content creation process.

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With a custom Relliverse™, you can strategically leverage AI to find topics and keywords that are already resonating with your target audience, and create content that's poised to climb the search engine rankings. Contact a Rellify expert today to find out exactly how Rellify can help.

By Jayne Schultheis — A great website structure involves more than just looking good — it's a crucial factor in boosting your SEO performance. The architecture of your website directly impacts how easily search engines crawl and index your content, which in turn influences your rankings.

In this article, we’ll explore why website structure is an essential part of search engine optimization and how you can optimize your website to improve visibility, user engagement, and search engine rankings.

Website structure defines user experience

A well-designed site that provides useful and engaging content will encourage visitors to stay longer, reducing bounce rates and giving your site a better chance to draw attention.

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How do you use site structure to boost traffic and gather leads? What are the crucial elements that signal to both search engines and readers that you're a trustworthy and authoritative resource in your industry? We'll share a number of clear and effective ways to improve your content creation and web design. Let's call it a "UX design for SEO best practices" checklist for a site audit.

UX and URL best practices

When you're building an effective website, put yourself in the perspective of a site visitor who knows nothing about your site or products. In general, URLs should be:

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• Clean
• Short
• Descriptive
• Keyword rich
• Representative of the site's page hierarchy. For example: https://rellify.com/blog/content-strategy-challenges.

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When crafting a seamless user journey into and within your site, you'll want to implement:

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• Main navigation (top-level pages). The most important pages of the site should be easily accessible from the homepage. Most sites use a navigation bar across the top of the homepage that leads to product and service pages, contact page, about the company page, and others. The “hamburger,” which is three lines in the upper left corner of the site, the vertical bar, and the vertical drop-down bar are ways to offer vertical navigation bars that are useful on mobile devices.
• Categories and subcategories. Use categories, subcategories, and sub-subcategories to group related content logically, making it easier for search engines to crawl and understand.
• Breadcrumb navigation. Organize your URLs so that wherever visitors are on your site, they can see the path back to the home page. This technique takes its name from trail of breadcrumbs Hansel and Gretel left behind them to find their way home — although breadcrumb navigation works much better. Every page on your site should have an icon that can be clicked to return to the home page. Even so, this arrangement of URLs allows search engines and readers to see how your site is organized. You can see the site's content hierarchy, and the URLs provide information in search results that help to improve click-through rates.
• Clear call to action (CTA). Each page should have a clear CTA to guide users toward completing an action, improving engagement and conversions.
• Search functionality. A well-functioning internal search tool can help users quickly find content. Be sure to index all relevant pages for search results.

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Dynamic URLs with unnecessary parameters (e.g., domain.com/page?id=12345) are less SEO-friendly than static URLs, so avoid them if you can.

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Let's look at an example of how to structure your URLs. Imagine you're a consulting firm named "Silverstone Strategy Group." You want to add a blog section to your website to capture more foot traffic from search engines. You call that blog section "Insights" and one subsection of the blog is a collection of articles on corporate leadership development. The focus keyword of the latest article is "online seminars and conferences." In that case, a great URL structure would look like this:

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www.silverstonesg.com/insights/leadership-developement/online-seminars-and-conferences

Internal linking

When you have lots of great content that shows off your expertise, you want your readers (and search engines) to know that they don't have to leave your website to find what they're looking for. That's where internal links can help. They can encourage a reader to click into another page. This gives you another chance to show a Call to Action and book them as a customer. Here are some best practices for the use of internal linking.

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• Anchor text. Choose descriptive anchor text that accurately reflects the content on the linked page. Use keywords and page titles as anchor text to make the relevance clear to readers and bots.
• Link distribution. Important pages (e.g., cornerstone content or pillar pages) should have the most internal links pointing to them.
• Contextual linking. Link from one page to another that will shed more light on the subject or provide more context. For example, from this article on UX and SEO through site structure, we can contextual linking to connect readers with an article in this blog about link-building and one on how to design a user experience. The first one adds context for this paragraph and subsection on linking. The second one adds context for this article about improving the UX experience. This form of linking  improves the flow of link equity and content relevance.

Mobile-friendly design

The percentage of web traffic that comes from mobile devices has steadily increased every year since smartphones hit the scene. As a result, Google has consistently prioritized mobile-friendliness and uses mobile-first indexing. It bases indexing and ranking on the mobile version of websites. Here are some tips for being mobile friendly.

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• Responsive design. The site should use responsive design, which enables it to adjusts seamlessly to screens of any size. They load quickly and look good on smartphones, personal computers and everything in between.
• Page speed optimization. Slow-loading pages ruin the user experience. Minimize heavy images, use browser caching, and compress files to improve loading times.
• Server performance. Make sure your hosting provider offers reliable performance with minimal downtime.
• Image optimization. When you reduce file sizes, you can get faster load times and smoother user experiences on mobile devices with varying screen sizes and network speeds.

Clean and crawlable code

What exactly is "crawlability? To put it simply, search engines have bots they send out to look through websites' code and content, then report their findings. They register many different aspects of your site, but if your code isn’t "clean" enough it impedes the bots and your rankings may suffer.  That's why your site's code architecture is crucial. Here are some aspects of coding to keep in mind as you're looking at the more technical aspects of your site's SEO.

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• Well-formatted HTML. Use clean, semantic HTML that is easy for search engine crawlers to read.
• XML sitemap. Create and submit an XML sitemap to help search engines discover and index pages more effectively.
• Robots.txt file. Use the robots.txt file to manage which pages should or shouldn’t be crawled by search engines.
• Canonical tags. Use canonical tags to avoid duplicate content issues. They tell search engines which version of a page is the preferred one.
• Security. Google favors secure websites (HTTPS) over non-secure ones (HTTP). SSL certificates ensure that the website is encrypted and secure for users, which also helps in ranking.
• Alt tags for images. Use descriptive alt attributes for all images to ensure search engines understand their context.
• Structured data (schema markup). Think of structured data like a map key for search engine crawlers. It gives them a shortcut to understanding your content. It also helps rich snippets (star ratings, product info, etc.) to appear in search results, increasing visibility and click-through rates.

404 pages and redirects

Sometimes, website maintenance or migration can cause snags in your user experience and a dip in traffic. Redirects help prevent this.

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• Custom 404 page: Provide a user-friendly custom 404 error page to help users find what they’re looking for if they encounter a broken link. You can even get fun and creative with them.
• 301 redirects: When a page is moved, a permanent 301 redirect should be set up from the old URL to the new URL to pass SEO value and prevent broken links.

Improve your website's returns with Rellify

Rellify can help you streamline your site architecture, making it more intuitive for users while boosting your SEO performance. More critically, Rellify uses AI-powered topic ideation and keyword optimization to help you find exactly what you need to write about in order to be better found on search engines. If you're ready to find out how Rellify can revolutionize the way you do SEO content, talk to one of our experts today.

By Jayne Schultheis — A great content strategy typically isn't going to be your first draft. And if you've ever wondered why your content isn't hitting the mark, you may have some unseen challenges that are preventing the content from hitting your goals. This article dives into the hurdles many face and offers practical solutions. Together, let's look at how to set the stage for content success by catching potential pitfalls before they affect your bottom line.

Understanding Content Strategy Challenges

The best way to prevent setbacks is to anticipate challenges before they arise.

Understanding your audience.

Among the 22% of B2B marketers who said their organization is very or extremely successful, 79% of these top performers most often attribute their success to knowing their audience. But when you think about all the potential people who could potentially be your "audience," it's easy to get overwhelmed. Who are they? What are their shopping habits? Where are they spending their time online? What kind of budget do they have? There are a million questions you could ask, all of which takes some serious market research. From those insights, along with a thorough analysis of existing customers, you should develop a few different buyer personas-- that is, detailed descriptions of your ideal, target customer. When you're trying to find that ideal customer, try using A/B testing to narrow the groups down.

Finding the right marketing channels.

This can be a complex challenge, especially given the diversity of platforms available. With each channel catering to different audience demographics and content types, it can be difficult to determine where to invest time and resources. Marketers must consider factors such as audience preferences, engagement levels, and the nature of their content, all while navigating the ever-evolving landscape of social media, blogs, email, and emerging platforms. Snags in channel selection can lead to ineffective campaigns, wasted budgets, and missed opportunities for engagement.

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To choose the right content marketing channels, marketers should start by clearly defining their target audience and understanding where that audience spends their time. Conducting audience research through surveys, social media analytics, and competitor analysis can provide valuable insights into preferred platforms and content consumption habits. You can also test different channels through pilot campaigns to help identify which ones yield the best results.

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It’s also beneficial to consider the type of content being created. Visual content may perform better on platforms like Instagram or TikTok, while long-form articles might be more suitable for a company blog or LinkedIn.

Lack of clear goals.

When surveyed, that same 22% of B2B marketers who said their organization is very or extremely successful, 68% of them attributed their success to content that aligns with the organization’s objectives. You might be confused, thinking, "Isn't my goal just to get people to to buy my product or services?" Well, ultimately, yes. That's your over-arching goal. But there are lots of different smaller goals that content can achieve, including, but not limited to:

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• Brand awareness
• Lead generation, conversions, or customer retention
• Customer engagement or education
• Increase website traffic
• Improve SEO rankings
• Establish thought leadership

Inconsistent brand voice or tone.

An inconsistent brand voice or tone can significantly undermine a content marketing strategy, creating confusion and diluting brand identity. When different pieces of content convey varying tones—whether overly formal, casual, humorous, or serious—it can lead to mixed messages that frustrate audiences. This inconsistency can make it difficult for customers to understand what the brand stands for, weakening their trust and emotional connection. Over time, this can result in diminished brand loyalty as consumers may struggle to recognize the brand amidst a sea of competing voices.

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Moreover, an inconsistent brand voice can hinder the effectiveness of marketing campaigns. Content that lacks a cohesive tone may fail to resonate with the target audience, resulting in lower engagement rates and missed opportunities for conversion. If a brand’s communication shifts erratically across different channels or campaigns, it may also create a fragmented customer experience, where individuals feel disconnected from the brand's values and messaging. Maintaining a consistent voice and tone is crucial for reinforcing brand identity, ensuring clarity, and fostering deeper relationships with audiences.

AI.

We'd be remiss if we didn't address the elephant in the room: artificial intelligence. One of the biggest content marketing challenges facing companies presently is how to effectively incorporate artificial intelligence into their processes. Nearly half of content marketers use AI to brainstorm new topics, and 46% use it to research headlines and keywords. More than one-third (36%) use AI tools for writing, though many feel conflicted about the idea. There's still quite a bit of gray area as companies and consumers alike grapple with the ethics and practicality of AI in marketing.

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But there's a lot more to AI than just hitting a button and generating text. AI can be used in countless ways throughout your processes, even in analytics. At Rellify, we've harnessed the power of AI to make topic and keyword research exponentially more effective. With a Relliverse™, customized for your brand, you can easily discover topics and keywords that are already doing well within your industry niche. Then, you can create content that's poised to climb the SERP rankings and be better found by your target audience.

Competitors.

The digital landscape is saturated with content vying for audience attention. With countless brands producing similar types of content, standing out becomes increasingly difficult. This saturation not only makes it challenging to capture potential customers' interest but also raises the stakes for quality and originality. Content marketers must consistently innovate and find unique angles to differentiate their messages, which requires a deep understanding of both their audience and their competitors’ strategies.

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Additionally, competitors often engage in aggressive SEO tactics, making it harder for new or smaller brands to rank highly on search engines. They may also leverage social media and paid advertising more effectively, drawing attention away from other content. This means that content marketers must not only focus on creating high-quality content but also continuously monitor competitors’ activities, adapt to shifting trends, and invest in strategic promotion to maintain visibility in a crowded market.

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A thorough competitor keyword analysis can also be a helpful strategy. This is the a process of examining the keywords that your competitors are targeting in their online content and SEO strategies. This helps you identify opportunities and threats in your own SEO strategy. A competitor keyword analysis can lead to a boost in your SEO when you successfully identify high-value keywords that your competitors are ranking for, then target similar terms with your own optimized content.

Tight Budgets.

Demand for high-quality content is high, but budgets are tight. Only 45% expect their content spend to ‌increase this year—a 13% drop from the 2023 survey. It's no secret that lots of companies are increasingly cutting down their teams to skeleton crews and looking ways to cut corners in any way they can. But when it comes to content marketing, you have to be careful where you cut corners. A colleague of mine recently started a small business, and when asked how they intended to fill out their website with content, they said they asked ChatGPT for a list of topics and had it write the articles, too. This is an example of how you should not cut corners. Not only does a tool like GPT lack the insights regarding SEO topics and keywords, it also generates its content based on pre-set algorithms and formulas. Absolutely no one will be finding that website through search engines, or any other avenues, unless they have the specific URL.

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If you find yourself struggling with budget constraints, marketers can adopt several strategies. First, they can prioritize content that offers the highest ROI, like evergreen pieces that remain relevant over time or user-generated content that leverages customer contributions. Repurposing existing content into different formats—like turning a blog post into an infographic or cross-promoting across platforms—can also maximize the value of prior investments. Additionally, utilizing cost-effective tools and platforms for content creation and distribution, as well as leveraging organic social media reach, can help stretch a limited budget further. Remember, the amount of time and effort you put into making content will be reflected in your returns.

Understanding and managing analytics.

Analytics are a huge part of a healthy content strategy, as they can help you hone in on what's working, what isn't working, and how to modify your strategy to improve your ROI. While eight in 10 content marketers use content analytics to decide what to create, yet three in four aren’t entirely clear how that content performs. Interpreting vast amounts of data and translating insights into actionable strategies is a huge task, especially for those who have tight content budgets. Without a solid grasp of data interpretation, marketers risk making decisions based on incomplete or misleading information, which can lead to ineffective campaigns and wasted resources.  

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To tackle these challenges, marketers can leverage a variety of user-friendly analytics tools that simplify data analysis and visualization. Google Analytics is a powerful option for tracking website performance, providing insights into visitor behavior, traffic sources, and conversion rates. For social media analytics, platforms like Hootsuite or Buffer offer comprehensive dashboards that allow marketers to monitor engagement metrics and audience demographics across multiple channels.

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Additionally, tools like HubSpot and SEMrush provide integrated solutions for content performance tracking and SEO analytics. Rellify even can pull analytic insights on content performance directly into the platform after publishing so you can plan, write, monitor all in one place. By utilizing these tools and prioritizing ongoing education in data analysis, marketers can develop a more nuanced understanding of their performance metrics and make informed decisions.

Difficulty keeping up with changes in the market.

The ever-changing content marketing landscape presents a huge challenge for marketers striving to stay relevant and effective. Rapid shifts in consumer behavior, technology, and search engine algorithms require constant adaptation and agility. What worked yesterday in terms of content formats or distribution channels may quickly become outdated as new trends emerge or audience preferences evolve. Anyone who's keeping up with the recent innovations in AI can tell you that. Marketers must continuously monitor these changes and be willing to pivot strategies, which can strain resources and complicate planning.

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Additionally, the proliferation of new platforms and tools can create a sense of overwhelm, making it difficult for marketers to determine where to focus their efforts. Marketers face the challenge of not only mastering various formats but also integrating them into a cohesive strategy. This constant need for education, experimentation, and optimization can lead to burnout and frustration, especially for smaller teams or organizations with limited resources. Ultimately, success in this dynamic environment hinges on the ability to embrace change and leverage insights effectively while maintaining a clear vision and consistent brand messaging.

Ineffective content planning.

Ineffective content planning can severely hinder a content marketer's ability to execute successful campaigns. Without a clear strategy, marketers may produce content that lacks focus, fails to address audience needs, or misses key deadlines. This disorganization can lead to inconsistent messaging, wasted resources, and missed opportunities for engagement, ultimately diminishing the overall impact of the content. When content is created on an ad-hoc basis, it often lacks cohesion, which can confuse audiences and weaken brand identity.

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To overcome these challenges, marketers should implement a structured content planning process that includes:

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• setting clear objectives and KPIs
• identifying target audiences
• developing a content calendar
• setting editorial guidelines
• establishing a workflow for the content lifecycle
• potential for scalability

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This roadmap not only helps ensure that all content aligns with the brand’s goals but also allows for strategic scheduling that maximizes reach and engagement. Regularly reviewing and adjusting the content plan based on performance metrics can also help marketers stay agile and responsive to changing audience preferences.

Preventing and Overcoming Content Strategy Challenges with the Experts at Rellify

Rellify has helped many companies with their content marketing efforts and assisted them in setting and achieving their specific goals. With an interactive content calendar for planning, expert topic and keyword research, and analytics pulled directly into the platform, you can seamlessly prevent and overcome any content challenges you might face. And with a Relliverse™, you can harness the power of customized AI and deep machine learning to find topics and keywords that will naturally position your content higher in SERP rankings and resonate with your target audience. Ready to find out more? Contact a Rellify expert today for a brief demo and learn exactly how Rellify can transform your content strategy, processes, and returns.

By Jayne Schultheis — Imagine walking into a brand new store in your area and finding exactly what you need without asking an employee for help or looking for signs.

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That's the kind of magic that effective local SEO can provide — guiding local customers straight to your business's virtual doorstep. In today's digital landscape, understanding and harnessing the power of local SEO is crucial for any business aiming to capture the attention of nearby customers.

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This article will delve into the key elements of local SEO, from optimizing your Google Business Profile to leveraging local link-building strategies. Let's dive in!

Understanding local SEO

Local SEO is a pivotal strategy for businesses aiming to boost their visibility in local search results. By optimizing for local rankings, businesses can attract more nearby customers who are searching for their products or services. Consumers increasingly rely on search engines to find local businesses that meet their needs, especially when it comes to restaurants, entertainment, and in-person services. Local SEO not only helps improve search visibility but also enhances your overall digital presence, making it easier for potential customers to find and engage with your business.

Key elements of local SEO

Local SEO hinges on several crucial elements that combine to establish your local credibility with search engines.

NAP consistency in local SEO

NAP is short for Name, Address, and Phone number, and NAP consistency is a vital aspect of local SEO success. Accurate and consistent business listings on Google and other search engines, as well as local business directories, builds credibility with search engines. This consistency helps potential customers easily find and contact your business, and shows Google that you're a reliably consistent establishment.

Optimize your Google Business Profile for better visibility

To enhance local SEO, a well-optimized Google Business Profile, formerly called Google My Business, is crucial. This is the sidebar that pops up on Google when you type in the name of a specific business or restaurant. It can show photos, customer reviews, hours, website, phone number, and other helpful information. It’s a form of digital storefront. When the profile is accurate and complete, your visibility is boosted in local search queries, attracting more local customers.

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One of the most important SERP features for local businesses is the Local Pack, the map and listing of local businesses in an area that appear when someone does a search like "find the nearest X to me." If you haven't thoroughly filled out a Google Business Profile, you won't appear on that Local Pack, but your competitors might.

Geo-targeting

Geo-targeting goes hand in hand with local SEO. Make sure your website is set up to determine a user's location and have content ready that is based on their location. For example, if you have multiple locations, have a separate landing page for each one with specific "Contact Us" information for each branch.

Conduct keyword research for local SEO

To effectively target local audiences, businesses must focus on identifying relevant local keywords. Start by analyzing what potential customers in your area are searching for, using tools like Google Keyword Planner or Moz’s Keyword Explorer.

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It’s essential to include location-specific terms and phrases that reflect the local culture and community. This will help you align your content with local search queries, enhancing visibility and driving more local traffic to your business.

How to do effective local keyword research

Let's assume that you're opening a vegan bakery in Denver, Colorado. These are the steps you should take when you're ready to build engaging content that will boost your local SEO.

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Understand your audience. Identify your target demographic and their needs. In this case, you'd be looking to target vegans with a sweet tooth. Consider their location, interests, and search behaviors. Are there places in Denver where you'd be more likely to find these people? What other types of products and services would they be searching for?

Brainstorm seed keywords. Start with broad keywords related to your business. For example, if you own a bakery, your seed keywords might include “bakery,” “cake,” "vegan," and “pastries.”

Assess the competition. Look at local competitors’ websites and their keyword strategies. What keywords do they rank for and what gaps can you exploit?

Use keyword research tools. Use Rellify, Google Keyword Planner, Semrush, or similar services to find keyword ideas and search volumes. Look for local-specific keywords by including your city or region. Focus on long-tail keywords that may have lower search volumes but are more specific and often lead to higher conversion rates (e.g., “gluten-free birthday cake in [Denver]”).

Understand the user intent behind the keywords, too. Are users looking to make a purchase, find information, or compare options? This will help you create content that meets their needs.

In our example, users could be looking to buy a snack. But they might also be compiling a list of vegan restaurant options in the area or comparing vegan catering options for a wedding. Rellify is unique in its ability to use deep machine learning and AI to understand your niche market and search intent, suggesting keywords that are already doing well in your sector and local area.

Incorporate local modifiers. Add geographic terms to your seed keywords. For example, “best vegan bakery in [Denver]” or “vegan cupcakes near me.”

Monitor and adjust. Regularly check the performance of your chosen keywords using analytics tools. Tools like Moz Local, BrightLocal, and Google Analytics can offer insights into local search performance, helping you refine your SEO strategies. Adjust your strategy based on what’s working for the search engine algorithms.

Craft geo-specific content for local audiences: Community engagement

To truly resonate with a local audience, create geo-targeting content that speaks directly to the community's unique characteristics and needs. This involves incorporating location-specific details and cultural nuances into your content to make it more relatable and engaging.

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Mentioning specific landmarks or local events to establish a connection with your audience. In our above example, we might include a blog post on the "Denver Union Station Farmers Market." This summer event features local produce and vegan vendors, and would likely be an interesting event for vegans searching for local places to grab food (like your bakery).

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It's not just what you know about the local area, but who you know. Content marketing with blog posts can be one of your most effective local SEO tools. However, if you can diversify your efforts and make real-world tie-ins within your content, search engines are much more likely to rank you as the best answer to what the locals are looking for.

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You could use social media to reach out to travel bloggers or local influencers who make specific content like "best places to grab breakfast in Denver" or "vegan-friendly restaurants in Denver." You could reach out to local news channels and let them know about your grand (or soft) opening, and share the video content on social media. The more you can pair local SEO content and efforts with real-world community engagement, the more familiarity and trust you'll build with both search engines and potential customers who use them.

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Local reviews and customer feedback also play a pivotal role in enhancing your local SEO. Positive reviews boost your credibility while improving your visibility in search results. Engaging with feedback, whether positive or negative, demonstrates responsiveness and builds trust, encouraging more local customers to choose your business. Reviews are important for online directories and listings. It's a good policy to encourage customers to post reviews. Then, take the time to respond to comments on your blog content, social media posts, and review sites.

Leverage local link-building strategies

Another way to bolster your SEO is by building local partnerships in the digital realm. By collaborating with nearby businesses and organizations, you can create valuable link-building opportunities that boost your website's authority and search engine rankings. Local link building not only improves your visibility in search results, but also enhance your position as a trusted and integral part of the local community.

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In our Colorado vegan bakery example, consider your target audience. At the risk of making generalizations, they might also be interested in small, local groceries, clothing exchanges, and eco-friendly and sustainable brands. As you write content about "the health benefits of going vegan," you could link to a local integrative medicine clinic that focuses on holistic health. In your article on "the power of non-processed foods," you could link to a local no-packaging co-op that sells food and toiletries in bulk. No matter what kind of connections you make, be sure that they're willing to link back to your website so you can mutually benefit from local link-building.

On-page SEO techniques for local search optimization

To effectively enhance local search optimization, it’s important to use robust on-page SEO techniques. We’ve touched on the importance of integrating local keywords naturally within your content. It also pays to use them in titles, headings, alt tags, and meta descriptions to align with local search queries. Implementing schema markup can help boost local SEO by giving search engine crawlers detailed information about your business.

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Is your website mobile-friendly? Many users conduct local searches on their smartphones. According to research from Exploding Topics, in 2024, over 60% of website traffic comes from mobile devices. When you consider that someone who's looking for a local spot is potentially roaming around your city, smartphone in hand, it becomes evident how mobile optimization is crucial for any business hoping to get local traffic.

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Voice search is another crucial consideration when you're working on local optimization. According to Synup, more than 58% of smart device users use voice search to find local businesses. What's more, businesses with complete Google Business Profiles are 70% more likely to attract location-based inquiries via voice search. The better you optimize for local SEO, the more likely you'll be drawing in traffic from [Denver] users who use voice search to find " [vegan bakeries] near me."

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Page speed is another crucial part of the user experience. Can you imagine being hangry at 10 a.m. on a Saturday in Denver and the website that promises a hot, melt-in-your-mouth vegan cinnamon bun takes 45 seconds to load? A seamless and intuitive website layout keeps visitors engaged, reduces bounce rates, and makes you a more trustworthy resource for your target audience. A streamlined website can help you achieve higher traffic, click-through rates, and sales.

Let Rellify help you optimize content for local SEO

Content optimization for local SEO takes quite a bit of research, effort, and know-how. Fortunately, Rellify has built a simple, intuitive content intelligence platform that puts AI-powered deep machine learning at your fingertips. Rellify's SEO tools can optimize every aspect of your content creation with a fraction of the time and effort it would take on other platforms.

With a custom Relliverse™ you can conduct keyword research within your specific niche and quickly build out a content plan that will guarantee results. Ready to get started? Contact one of our experts for a brief demo to find out exactly how Rellify can transform the way you do content and maximize your returns.

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By Jayne Schultheis — Keyword research is a fundamental part of search engine optimization, but there's a crucial piece of the process that's often overlooked: user intent. In this article, we'll look at how keyword research and consideration of user intent can intersect to help you build the perfect content strategy. Let's dive in!

What is keyword research?

If you've spent any time writing SEO-optimized blogs, you've probably done some keyword research. Keyword research is the process of identifying and analyzing the terms and phrases that users enter into search engines when they are looking for information, products, or services. The goal is to understand what keywords are most relevant to your audience and to optimize your content so that it ranks higher in search engine results pages (SERPs) for those keywords and gets more organic traffic.

Tools for keyword research

Fortunately, it's not too difficult to find keywords — lots of tools are built specifically to help content marketers find words and phrases that boost your chances of ranking on SERPs for certain topics, including:

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• Google Keyword Planner
• Semrush
• Ahrefs
• Moz Keyword Explorer
• Rellify

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But Rellify isn't your run-of-the-mill keyword research tool. Our magic starts with content strategy itself. With a Relliverse™, a custom-AI subject-matter expert trained on your relevant focus topics, you can make data-driven strategic decisions about which topics and keywords are exactly right for your brand's content. Then, after writing and publishing, you can have Google Analytics and insights pulled directly into the platform, where you watch your optimized content climb the search engine rankings.

What is user intent?

In the context of SEO, "user intent" refers to the underlying purpose or motivation behind a user's search query. Understanding user intent helps in creating content and optimizing websites in a way that aligns with what users are actually looking for when they perform a search.

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There are a few different user search intent categories:

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• Informational intent. The user is looking for information or answers to a question. This can include how-to guides, definitions, or explanations. For example, a search query like “how to bake a pie” indicates the user is seeking a recipe or baking instructions.
• Navigational intent. The user intends to find a specific website or web page. For example, “Instagram login” suggests the user wants to navigate directly to Instagram’s login page. Why didn't they just type it into the URL? We don't know, that's none of our business.
• Transactional intent. The user is ready to make a purchase or complete a transaction. This could be indicated by queries like “where to buy the newest iphone.”
• Commercial investigation. The user is in the research phase before making a purchase decision. Queries like “best keyboards for gaming” or “top-rated Korean skincare products” show that the user is comparing options and seeking reviews or comparisons.

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Categorizing query type is easy enough, but understanding and mastering the match between your keywords and user intent can be more challenging. You're competing with other high-quality content that also aligns with the same (or at least, similar) user intent, and uses the same keywords. Differentiating your own content with long-tail keywords, unique insights, added value can be a tough, but necessary task.

How should keyword research and user intent work together?

Keyword research and user intent are interrelated components of an effective SEO strategy. When combined thoughtfully, they help your content rank well in search engine results while also meeting the needs of your audience. They work together to create a fuller, clearer picture of the different "buyer personas" you should be targeting with your content.

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Here’s how keyword research and user intent should work together to optimize your SEO efforts:

Use keyword tools to analyze the data

Use keyword research tools to gather data on keyword difficulty, search volume, competition, and variations. This type of SERP analysis helps you understand the types of queries users are entering and what information or actions they are seeking.

Categorize keywords by intent, then create content accordingly

Group keywords based on their user intent — informational, navigational, transactional, or commercial investigation. This helps you target content more effectively. For example:

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• Informational keywords might include “how to clean a white sneakers.”
• Transactional keywords might include “buy shoe cleaner.”

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Develop content that directly addresses the intent behind the keywords. For example, informational queries lend themselves to detailed guides, how-to articles, and tutorials. Transactional queries are a better fit for product pages, reviews, or buying guides that facilitate purchase decisions.

Optimize the content

Pay attention to keyword placement throughout your optimization process. Make sure that the content structure — headings, subheadings, and formatting — aligns with the intent behind the keywords, too. Use clear, concise headings for informational content and persuasive language for transactional content. You can even use specific questions that users are typing into search engines as headers.

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The keywords that are most relevant to the user intent should also be incorporated in title tags and meta descriptions. For example:

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• An informational title could be “How to Clean White Sneakers: A Step-by-Step Guide.”
• A transactional title might be “Top 10 Sneaker Cleaners for 2024: Reviews and Buying Guide.”

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Backlinking and internal linking are also factors that signal to search engines you understand the user intent behind the queries you're hoping to rank for. When you're linking, whether externally or internally, choose to link with anchor text that reflects that intent.

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Let's use our "sneaker" example from above, assuming we are a luxury shoe company. If we wrote the article, "Top 10 Sneaker Cleaners for 2024: Reviews and Buying Guide," then we would select the keyword phrase "sneaker care" to anchor a link to our other blog article about how to correctly care for shoes.

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Assuming that your target audience is stylish, image-conscious, young professionals who take a lot of pride in their appearance, this would be a way to signal to search engines that you're in-step with your buyer persona and user intent, a true expert in the industry who deserves the subsequent domain authority status.

Adapt to trends and changes

Search trends and user behavior can change over time, in addition to ranking factors and algorithms set by search engines. Keep an eye on your click-through rate and bounce rate. Regularly update your keyword research and content strategy to stay aligned with what's current. With the continued advancements in voice search and AI, how users express intent and search for information is ever-changing, too. Adjust your content optimization strategy to accommodate these changes. It can seem tedious, but it's the only way to make sure you can stay on top of your audience's shifting semantic searches and google algorithm updates.

Address multi-intent queries

For queries with multiple intents, develop content that addresses different aspects of the user’s needs. For example, a query like “best budget smartphones” could be addressed with a guide that includes buying tips, product reviews, and comparisons.

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You can also address this issue by guiding users to relevant content within your site that meets different aspects of their intent, like the "shoe cleaner" example we mentioned above. This helps provide a more complete answer to their queries and improving overall user experience.

Rellify: Search engine optimization experts

Rellify doesn't just guess about user intent — our state-of-the-art Relliverse™ is customized content intelligence — AI that deeply analysis and understands your company, topics, and keywords. With our competitive analysis, we provide insights beyond your typical keyword research tools. Our platform can guide your content creation every step of the way with SEO tips and suggestions. Ready to maximize your conversion rates with top-notch content? Hop on a call with one of our experts to find out exactly how Rellify can super-charge your content marketing returns with just a fraction of the effort.

Do you remember when you could ask a cartoon butler named "Jeeves" a question and he would search the internet for your answer?

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How times have changed. RIP, Jeeves. Tell "Clippy" we say hello.

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The evolution of search engines has been revolutionary, constantly changing the way we research, do business, and function in the digital world. In this article, we'll take you through the timeline of how search engines have changed over the years, and take a look at how you can best implement search engine optimization (SEO).

The internet without search: A new frontier

Before the advent of search engines, the World Wide Web (hence the "www") was a more fragmented and less navigable space — a "Wild West Web," so to speak.

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In the early 1990s, users primarily accessed content through static web pages sometimes reached through hyperlinks. The web was essentially a collection of individual sites, organized by directories like Yahoo!, which required manual categorization and browsing. Finding specific information often meant knowing the exact URL or relying on word of mouth to discover new sites.

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Without search engines, users had a lot more trouble locating the information they needed. Resources were often scattered across various platforms, and the lack of centralized indexing made it tedious to navigate. Many people relied on bookmarking favorite sites or engaging in discussions on forums to share and find useful links.  

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The emergence of search engines fundamentally transformed this landscape, allowing efficient information retrieval and significantly improving the web’s usability.

The evolution of search engines: A timeline

Search engines didn't have one particular "inventor," they evolved through contributions from various individuals and teams. The first search engine, Archie, was developed in 1990 to index File Transfer Protocol (FTP) sites, allowing users to search for and locate downloadable files across the internet.

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The name "Archie" is a play on the word "archive," reflecting its primary function of indexing and retrieving files. Unlike modern search engines that index web pages, Archie focused on file names and directory structures, generating a list of available files that users could browse. Users could query the Archie database using simple search terms, making it easier to discover resources that would otherwise require knowing specific URLs. This innovation laid the groundwork for the development of more advanced search technologies.

1. Early beginnings (1990s)

• Basic indexing. The first search engines were developed. These included tools like Archie, which indexed FTP sites, and Veronica, which searched Gopher servers.
• Web crawlers. In 1994, WebCrawler became the first search engine to index entire pages, allowing users to search for any word on a page, not just titles or URLs.
• Directory-based search. Yahoo! started as a directory of websites, where human editors categorized links. This model was popular until the volume of web content exploded.

2. The rise of algorithmic search (Late 1990s)

Search engines became increasingly complex, employing algorithms to improve the relevance and speed of search results.

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• AltaVista and Ask Jeeves. AltaVista (1995) introduced more advanced search capabilities, including natural language queries. Ask Jeeves (1996) focused on user questions, attempting to provide direct answers.  
• PageRank. In 1996, Larry Page and Sergey Brin developed PageRank as part of their PhD project, which later became the foundation for Google. It evaluated web pages based on their link structure, promoting high-quality, relevant pages.
• Launch of Google. In 1998, Google was officially launched, quickly becoming the preferred search engine due to its clean interface and superior search results driven by PageRank.

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By the end of the 1990s, search engines had transformed from rudimentary tools into essential components of the internet, facilitating easier access to information and significantly shaping online behavior.

3. Google’s dominance (2000s)

After the world survived Y2K and kept spinning on Jan. 1, 2000, search engines underwent significant transformations driven by technological advancements and evolving user needs. The evolution of search engines was, for the most part, represented by the evolution of Google.

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• Personalization and localization. Google introduced features like personalized search results and localized content, leading to a better user experience based on individual preferences and geographical location. Local SEO became a helpful new tool for marketers who wanted local shoppers to find and patronize their businesses.
• AdWords. In 2000, Google launched AdWords, revolutionizing how businesses could advertise online through pay-per-click (PPC) advertising, which contributed significantly to Google’s revenue.
• Real-time search. In 2009, Google began incorporating content from social media and news sites into search results.

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One of the most notable developments was the refinement of algorithms to improve search result relevance and page rankings on SERPs. Google's PageRank algorithm, which assessed the importance of web pages based on backlinks, became a benchmark for search quality. This era also saw the introduction of personalized search results, which tailored the user experience based on individual preferences and behavior.

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The rise of social media and user-generated content further influenced search engine functionality. Search engines began to integrate social signals and real-time data, leading to features like news search and video search capabilities. Mobile search also emerged as a critical focus, prompting engines to optimize for mobile-friendly sites.

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Overall, the 2000s marked a shift towards more sophisticated, user-centric search technologies that not only provided better results but also adapted to the changing dynamics of online information consumption.

4. Semantic search and user intent (2010s)

This is when things really start to pick up! Overall, the 2010s marked a move toward more intuitive, personalized, and multimedia-rich search experiences, fundamentally transforming how users interacted with search engines.

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• Caffeine. In 2010, Google introduced a new infrastructure for faster indexing and more frequent updates, including Google+, which placed a stronger emphasis on social signals in search results.
• Knowledge graph. Launched in 2012, this feature presented information in a structured format, giving users direct answers without clicking through to other websites.
• Hummingbird algorithm. In 2013, Google introduced Hummingbird, which focused on understanding the context and intent behind qu. eries, improving its ability to provide relevant results.
• Featured snippets. Introduced by Google in 2014, this feature aimed to provide users with quick answers to their queries directly at the top of the search results page, highlighting concise information from relevant web pages.
• Mobile search. Google adapted to mobile search by emphasizing mobile-friendly websites in 2015 with an algorithm update known as "Mobilegeddon." A voice search feature followed in 2016 when users could speak directly into their phones and ask search engines questions.
• RankBrain. In 2015, Google incorporated RankBrain, a machine learning component that helps process search queries and improve results based on user interactions.

5. AI and machine learning (Late 2010s to present)

Search engines became so integrated into our everyday lives, it's hard now to even imagine a world without them. During this time, it because commonplace to hear people say things like: "Hey, Google! Find me a local Italian restaurant with outdoor seating!"

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• BERT. Launched in 2019, BERT (Bidirectional Encoder Representations from Transformers) significantly advanced the understanding of natural language, allowing Google to better grasp the nuances of user queries.
• Mobile-first indexing. Google further advanced its mobile search capabilities with the introduction of mobile-first indexing in 2019. This meant that the mobile version of a site would be considered the primary version for ranking purposes. This shift underscored the importance of mobile optimization search as a central focus for search engines and web developers alike.
• Voice search. Though voice search already existed, the proliferation of voice-activated devices (like Google Assistant and Amazon Alexa) led to increased emphasis on optimizing search for conversational queries.

6. Current trends and future directions (2020s)

Artificial intelligence and natural language processing have launched search engines into a new trajectory, and content marketing experts have their jobs cut out for them as they adapt and modify their approaches SEO.

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• AI and chatbots. AI continues to evolve, with search engines integrating conversational AI to enhance user interaction and provide instant answers. Machine learning is playing a crucial role in transforming the search engine landscape, as this for of AI can self-train and adapt when it's presented with new information.
• Visual search. Platforms like Google Lens allow users to search using images, making search more intuitive and practical.
• Privacy concerns. As awareness of data privacy grows, search engines are adapting by offering more transparent data usage policies and options for users to control their data.
• Sustainability. There's a growing focus on the environmental impact of digital services, prompting search engines to consider eco-friendly practices in data centers and operations.

How to use search engines for content marketing.

Since AI integration and summarization has become such a prominent feature in how users engage with search engines, you might be wondering how it will affect your content marketing strategy. How will AI integration impact SEO if you rely on content to draw in organic traffic from search engines?

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The short answer is: You have to create better content.

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You don't just need to add more keywords, but better keywords. Your content should reflect the search intent of your target audience, meaning that it directly answers their specific questions or provides niche information that they're seeking. Are they looking for a specific product? Do they need detailed background information about a certain subject? What stage of the customer journey are they in and how do you craft your content to meet them there?

Search engine optimization has always been at the core of long-form content marketing, at least as long as search engines algorithms have crawling been around. We'll look at some of the core aspects of this process, so you can make sure you're staying on top of SERPs.

Search engine optimization in the age of AI

Think "E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)." Google's algorithm places a lot of weight on these as it ranks your content on its pages. Here are some other ways you can boost your domain authority and stay on top of algorithm updates:

Choose your topics and keywords wisely

Research relevant topics. Tools like Google Trends, Semrush, or Ahrefs can help you identify trending topics in your niche that resonate with your audience and align with their search intent. But if you need an expert tool that seamlessly integrates AI, Rellify is your solution. With a custom Relliverse™, you can use machine learning to provide detailed insights into what topics and keywords are going to resonate best with your target audience.

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Long-tail keywords. When you're doing keyword research, target long-tail keywords that reflect specific queries. These tend to have lower competition and higher conversion rates, allowing you to capture a more defined audience. For example, an article with the focus key phrase, "ladders" would be much harder to rank for than "retractable steel ladders"

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Content relevance. Make sure your content is comprehensive and directly answers user questions. This not only boosts your relevance in search results but also helps boost user satisfaction.

Develop a fool-proof linking strategy

Quality backlinks. Focus on acquiring backlinks from reputable and authoritative websites in your niche. High-quality inbound links signal to search engines that your content is valuable.

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Internal linking. Create a strong internal linking structure to guide users through your content and help search engines understand the relationships between different pages on your site. Choose anchor text that reflects the topics and keywords of your other valuable content.

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Outreach and collaboration. Engage in outreach efforts to connect with other creators and websites. Guest blogging, partnerships, and collaborations can help you earn valuable backlinks and increase your site's visibility.

Mind your technical SEO

Technical SEO is just as important as the topics and keywords, just a bit more tedious.

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Site speed optimization. Make sure your website loads quickly on both desktop and mobile devices. Use tools like Google PageSpeed Insights to identify and address issues that may slow down your site.

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Mobile-friendliness. Implement responsive design to make your website accessible and functional on all devices. Google prioritizes mobile-friendly sites.

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Schema markup. Use structured data (schema markup) to help crawlers navigate your site and search engines better understand your content.

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Secure your site. Implement HTTPS to secure your site. It adds a layer of security to the data exchanged between a user's browser and a web server. Google considers security a ranking factor and it helps build trust with your users.

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Monitoring. Most importantly, you should regularly monitor your core web vitals and organic site traffic. Look at click-through rates and bounce rates. Note how you need to adjust to your content as you evaluate what is and isn't working. Rellify pulls in this kind of information directly into the platform, so you can keep all your relevant content data all in one place.

Rellify can help your audience find your content

Rellify embraces search engine innovations and works to make content creation an increasingly effective and efficient marketing tool for clients. With a custom Relliverse™, you can leverage AI tailored to your niche to find the right topics, use the right keywords, and answer the right questions. That way, you're set to start climbing the search engine rankings. Ready to get started? Contact a Rellify expert today.

By Jayne Schultheis — Have you ever stopped to wonder how search engines work? How do they know what's on the pages they rank and feature? Their intricate processes are made possible by a collection of behind-the-scenes bots that do a lot of hard work: crawlers.

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Search engine crawlers, also known as spiders or bots, are software programs used by search engines for site discovery and content indexing on the web.

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When we visualize a search engine crawler, we like to picture a little inchworm wearing a neon Google vest. He scours through web text line by line, gobbling up the information he deems the most important, then presents it to his Google overlord in an organized fashion. It's fun to think of it that way, but it's actually a lot more complicated.

How do search engine crawlers work?

Here's a high-level overview:

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• Crawling and discovery. Crawlers start with a list of web addresses (URLs), which they use as the initial seeds for their crawling. This list is often compiled from previous crawls or from sitemaps submitted by website owners. They visit these URLs and fetch the content from the web pages. This involves downloading the HTML code and any other resources linked from the page, such as images, CSS files, or JavaScript.
• Parsing. After fetching the content, the crawler parses the HTML to extract useful information. This includes identifying and following links to other pages, which enables discovery of new content and sites. The links found within the page are added to the list of URLs to be crawled. This process helps the crawler navigate through the web and build a map of interconnected pages.
• ‍Indexing. The information from the crawled pages is stored in a large database called an index. This index is optimized for quick retrieval and is structured to allow efficient searching. The content is also analyzed to understand the relevance and context. This involves extracting keywords, understanding page structure, and evaluating other factors like page load speed or mobile-friendliness.
• ‍Ranking. When a user enters a search, the search engine uses complex algorithms to rank the indexed pages based on their relevance to the search query. Factors influencing ranking include keyword relevance, page quality, and user experience (UX). The search engine then displays the most relevant results on the search engine results pages (SERPs).
• ‍Re-crawling.The web is an ever-changing space, so crawlers revisit pages periodically to update the index with new content or changes to existing content. The frequency of crawling can vary depending on the page authority and how often you update it.

How can I make sure crawlers discover my site?

Content optimization for crawler bots is one of the key facets of an SEO strategy. If the web crawlers can't find your site, leads and prospective customers won't either. These bots have a "crawl budget," which refers to the number of pages a search engine crawler is willing to crawl on your website within a given time period. Crawl budgets are different, based on factors like site size, health, and how often you update it.

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We'll look at the key components of your website's SEO that help crawlers find, navigate, and understand your content, and get the most out of crawlers' budgets for your site.

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• Submit your site to search engines. Use tools like Google Search Console, Bing Webmaster Tools, and others to submit your site’s URL. This helps search engines discover your site faster.
• Create and submit a sitemap. Generate an XML sitemap and submit it through search engine webmaster tools. Sitemaps help crawlers understand the website structure and navigate seamlessly through all your important pages.
• ‍Optimize your robots.txt file. Make sure your robots.txt file is properly configured to allow search engines to crawl your site. This file should not inadvertently block important pages or directories from being indexed.
• ‍Use internal links. Link between pages on your site to help crawlers discover and navigate your content. A well-structured internal linking strategy, using strategic anchor text, allows search engines to find and index all your important pages.
• ‍Make sure your site is crawlable. Check for technical issues that might prevent crawling, like broken links, server errors, or blocked resources.
• ‍Improve your website speed and performance. Make sure your site loads quickly and performs well. Fast-loading pages are more likely to be crawled and indexed effectively.
• ‍Create quality content. Regularly update your site with high-quality, relevant content. Search algorithms favor sites that offer valuable content to users. More on this later. ‍
• Monitor crawl activity. Use tools like Google Search Console to monitor crawl activity and identify any issues or errors that might affect how your site is indexed.‍
• Use structured data. Implement structured data (schema markup) to help search engines understand the content of your pages better and potentially improve visibility in search results.‍
• Implement a good backlink strategy. Pages with more backlinks, particularly those from high-authority sites, are often prioritized for indexing. Backlinks can also indicate the relevance of your content. If multiple sites link to a page using relevant keywords, it signals to search engines that the page is relevant for those topics, which can help it get better rankings.‍
• Correctly use redirects. URL redirects send both users and search engines to a different URL than the one they originally sought. They're especially helpful if you're conducting a website or page migration, dealing with broken links, or doing website maintenance. 301 redirects are permanent while 302 redirects are temporary. They should be used sparingly and only as necessary, as too many can cause crawlers to get lost and experience redirect loops and other indexing issues. If you have duplicate content, use canonical tags to signal to crawlers which version of a URL you want them to index.‍
• Promote your site with social signals. Improve your site’s visibility by promoting it through social media, email campaigns, and other content marketing channels. More external links and traffic can help search engines find and index your site.

Write great content

We've talked about how to get Googlebots and other crawlers to start indexing your site. But there's one crucial aspect of the process that needs to happen before all that: You need to create relevant, SEO-optimized content that will resonate well with your target audience. Ultimately, that's what crawlers are looking for. All the technical SEO factors just make it easier for bots, and readers, to find it.

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For this task, thorough and expert keyword research is going to be your best bet. You want to signal to search engine crawlers that you're a thought leader in your industry with a high domain authority and trustworthy expertise. This shows that your site deserves higher page rankings.

How do I know if crawlers are having issues with my site?

The short answer: Use Google Search Console.

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Google Search Console provides a "coverage report" that relays information on how Googlebot is crawling and indexing your site. Look for errors like "404 Not Found," "Server Errors," or "Redirect Errors." These issues can prevent crawlers from accessing your pages.

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Additionally, the "crawl stats report" shows how often a Googlebot visits your site, how many pages it crawls, and the total crawl time. If you see a significant drop in crawl activity, it might indicate a problem.

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Finally, check out the "URL inspection tool," which allows you to check the status of individual URLs. It can show you how crawlers see the page, including any crawl or indexing issues.

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Rellify imports insights from Google Search Console directly into the Rellify platform, so you don't have to add another step to your processes.

Common crawl errors to watch out for

• Server errors (5xx). Errors like "500 Internal Server Error" indicate server problems that prevent crawlers from accessing your pages. Check server logs for more details on these errors.
• 404 errors. If pages return a "404 Not Found" error, it means that the URL is not available. Check that important pages aren’t returning 404 errors unless intentionally removed.
• Redirect errors. Issues with redirects (such as redirect loops or chains) can prevent crawlers from reaching your content. Make sure redirects are set up correctly and avoid long redirect chains.

How search engines work with Rellify

Let Rellify help boost your search visibility. With a custom Relliverse™, you can leverage AI tailored to your niche to find the right topics, use the right keywords, and answer the right questions. Ready to get started? Contact a Rellify expert today to find out how you can revolutionize your content processes and create content that gets better results.

How to Use Competitor Keyword Analysis to Boost Your SEO

What are your competitors publishing on their website these days?

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While focusing exclusively on your own web content might seem like the best way to stay relevant, there's a lot to be said for keeping tabs on the competition. A huge part of a robust marketing strategy is making sure you're covering all your bases. Sure, you can visit their site and take a peek at the UX design and get a general feel for their on-page SEO, but the most useful information comes from the keywords themselves. Let's take a look at all the ways you can use a competitor keyword analysis to gain a competitive edge for your content needs.

What is a competitor keyword analysis?

A competitor keyword analysis is a process of examining the keywords that your competitors are targeting in their online content and SEO strategies. The goal is to understand which search terms and long-tail keywords your competitors are using to attract visitors, rank in search engine results, and drive traffic to their websites. Also known as a "keyword gap analysis," this helps you identify opportunities and threats in your own SEO strategy. A competitor keyword analysis can lead to a boost in your SEO when you successfully identify high-value keywords that your competitors are ranking for, then target similar terms with your own optimized content.

How do I perform a competitor keyword analysis?

It's pretty straightforward — most of what you'll do in a competitor keyword analysis is the same as what you'd do in your own content analysis, with just a few more steps.

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Identify competitors. Determine who your main competitors are in your industry or niche. These can be direct competitors (offering similar products or services) or indirect competitors (which offer different products or services but still compete for the attention and resources of the same target audience).

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Use keyword research tools. Rellify, as well as tools from Semrush, Ahrefs, Moz and others, can help you gather data on the keywords your competitors are ranking for. Check for metrics like:

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• Search volume. The number of searches for a particular keyword.
• Keyword difficulty. How competitive it is to rank for that keyword.
• Ranking position. What position their keywords are ranking for on SERPs.

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Content analysis. Review the type of content your competitors are creating around these keywords. Are they blog posts, landing pages, or product descriptions? Evaluate how well their content aligns with the targeted keywords. Is there a more appropriate or effective way you could incorporate the keywords in your own content, providing a better user experience?

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Opportunity identification. When you look at all facets of their content and keywords, search for opportunities to outperform them. Are there words with lower competition or a higher relevance to your audience? Take note of any gaps that you can fill.

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Strategy adjustment. The overarching goal here is to boost your SEO and user experience with specific keyword opportunities you glean from insights. Based on your findings, take a step back and look at the bigger picture. Do you need to pivot your entire content strategy, or can you just make some tweaks? Adjust to capitalize on opportunities, address weaknesses, and set your brand apart.

After the competitor analysis, create your content

We've mentioned "filling in the gaps" in your competitions' content and using your insights for content optimization. But what exactly needs to happen with the insights you glean from your research?

Select target keywords

Choose keywords that are relevant to your audience and have a good balance of search volume and competition. Focus on those keywords where you can provide superior content compared to your competitors. Long-tail keywords (more specific phrases) are a good choice, because they typically have lower competition but high relevance. Here are the key factors to consider when selecting target keywords:

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• Relevance. The keywords should be closely related to your products, services, or platform.
• User search intent. Target phrases with transactional intent first. These are the ones that will attract users who are further along in the buying cycle, increasing the likelihood of converting visits into sales or leads.
• Search volume. Higher search volume often means more potential traffic.
• Keyword difficulty. How competitive is it to rank for the keyword? Be realistic about the likelihood of your content outranking the competition with certain keywords, and how much effort you'll need to put forth to make that happen.

Create a content outline

Develop an outline for your content that will incorporate the chosen keywords naturally. Your content needs a clear structure, with headings that align with (and sometimes incorporate) your target keywords. Break down the main topic into subtopics that cover various aspects of the keyword. Use insights from competitor content to identify additional subtopics or related questions.

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Rellify makes the creation of blog outlines seamless, with a drag and drop feature that allows you to integrate keywords wherever you think they'd best fit.

Develop high-quality content

Your content should be comprehensive and provide more value than competitor content. This is where you're going to use the information you gathered from the analytics on your competitor. Aim to cover the topic thoroughly, addressing common questions and providing actionable insights. High-quality content greatly benefits from a robust backlink profile, with lots of high-value, relevant sites linking back to your pages. This helps establish authority in your brand, one of the key metrics Google uses when ranking pages.

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Also, don't forget to incorporate elements that boost user engagement, such as visuals (images, infographics), multimedia (videos, podcasts), and interactive elements (quizzes, tools).

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Rellify is the platform many companies trust to develop content strategies, create content, and deliver measurable results. With a Relliverse™, you can have a customized AI subject-matter expert that shows your team exactly where you need to focus to get your content on page one of SERPs.

Optimize the on-page SEO elements

It's not enough to have all the right keywords in the body of your text. Optimization means strategically incorporating the keywords into every facet of the publication.

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• Title tag and meta description. Craft a compelling title that includes the primary keyword. Make sure it is descriptive and within the recommended length (50-60 characters). The meta description should also include the target keyword and encourage clicks from curious readers. Aim for 150-160 characters.
• Headers and subheaders. Use your primary and secondary keywords in headers (H1, H2, H3) to structure the content and make it easier to scan.
• URL structure. Keep URLs short, use hyphens to separate words, and include target keywords. The URLs should be user-friendly and easy to understand.
• Alt text. Use descriptive and relevant keywords, avoid keyword stuffing, and make sure the text accurately represents the image content.
• Links. There are two different kinds, internal and external. With internal, you're linking to other relevant pages on your website to improve navigation and provide additional context. With external, you're citing authoritative sources and linking to high-quality external content to add credibility and provide further information.
• Page speed. This is how quickly the content on your webpage loads and becomes visible to users. It directly impacts both user experience and search engine rankings.  

Evaluate and adjust

Once you've published your optimized, relevant content made from expert research, keep an eye on how well it performs. Use tools like Google Analytics and Google Search Console to monitor the performance based on metrics like organic traffic, bounce rate, click-through rate (CTR) and keyword rankings. If you have a social media presence, promote your content with intriguing excerpts and insights, linking back to the content so users can click through.

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Based on performance data, make adjustments to your content to improve its relevance and effectiveness toward conversion rates. Don't forget to update it regularly to keep it fresh and aligned with current trends.

Let Rellify help your brand knock out the competition

When it comes to leveraging content marketing insights from your top competitors, Rellify is the tool you need to make it happen. With Rellify, you can make data-driven strategic decisions based on a custom-AI subject-matter expert trained on your relevant focus topics. You can find out what topics and keywords are already ranking within your specific niche, so you can build a content strategy that'll drive organic traffic, get more clicks, and turn interested readers into valuable customers.

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Want to really see what Rellify can do? Hop on a call with one of our experts to find out how Rellify can revolutionize your content process and results.

When you're building a content plan for digital marketing, you want to search high and low for the perfect topics and keywords that will resonate with your target audience. Fortunately, keyword extraction is a process that can help. In this article, we'll take a look at the operations behind this type of analysis, and how it's used in the context of content creation and, in particular, how it can be used with social media.

What is keyword extraction?

Keyword extraction is a form of data mining that involves identifying the most relevant words or phrases from user-generated content. In the context of social media, keyword extraction is performed on the content of platforms like Twitter, Facebook, Instagram, and others. Once these words are identified, content analysis is performed to simplify, summarize, and classify the content.

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Keyword extraction can involve supervised learning,  which requires labeled data to train models that can predict or classify keywords based on features extracted from the text. Conversely, it can involve unsupervised learning, in which no labeled data is required. Unsupervised learning methods rely on statistical and linguistic features to identify keywords based on their frequency and importance within the text.

Techniques and tools for keyword extraction

First comes a bit of data preprocessing. This is the preparation and cleaning of raw data to improve the quality and accuracy of the extraction process. We'll look at the processes first, and then the tools you can use to employ them.

Data preprocessing in keyword extraction from social media

Your first task is eliminating irrelevant characters, symbols, and formatting issues (e.g., HTML tags, special characters) from the text. All of the words should be in the correct case, too.

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Now, you're ready for tokenization, where the text is broken into individual words or tokens. This helps when it comes to analyzing the frequency and importance of each term.  

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Filter common words (e.g., "and," "the," "is") that don't carry significant meaning in the context of keyword extraction. These are known as "stop words" and can clutter the analysis.

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Reduce words to their base or root form (e.g., "running" to "run") through stemming or lemmatization. This helps in treating different forms of a word as the same term, improving the accuracy of keyword extraction. Synonyms or variations of terms should be merged to ensure that different representations of the same concept are considered as a single keyword.

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Exclude non-textual elements like images, videos, or other media types that do not contribute to the textual analysis. The data should be in a uniform format, which can be especially important for numerical data if it's involved in the text analysis.

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Finally, segment long texts into meaningful units or chunks, which can help in more accurate keyword extraction by focusing on specific sections or themes.

NLP tools for running text analytics on social media text

Now you're ready to do some analysis. Natural language processing tools are crucial for analyzing and extracting insights from the vast and diverse texts generated on social media platforms. These are the tools you can use to efficiently process unstructured data. They employ tasks such as semantic analysis, noise reduction, trend detection, and keyword extraction, which are crucial for understanding user behavior and adjusting engagement strategies.

Statistical methods

• Term frequency-inverse document frequency (TF-IDF). Measures the importance of a term in a document relative to its frequency in the entire corpus.
• Frequency analysis. Counts occurrences of terms or phrases to determine their relevance.

Linguistic approaches

• Part-of-speech tagging. Identifies nouns, verbs, adjectives, etc., to extract meaningful words.
• Named entity recognition (NER). Detects names of people, places, organizations, and other specific entities.

Machine learning models

• Topic modeling. Uses algorithms to identify themes within the text, then clusters the data by main topics and subtopics.
• Deep learning. Employs neural networks to capture complex patterns and contextual information.

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Some organizations combine statistical, linguistic, and machine learning approaches to improve accuracy. It all depends on your goals and bandwidth.

What are some challenges that come with keyword extraction from social media?

Keyword extraction from social media presents several distinct challenges that stem from the unique nature of social media content.

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One major issue is the informal and varied language used, including slang, abbreviations, and unconventional grammar. This linguistic diversity can make it difficult to accurately identify and extract meaningful keywords. Just think of how quickly nonsensical catch-phrases and ear-worms enter and exit our online lexicon.

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Social media texts are also pretty noisy, with a high volume of irrelevant, redundant, or off-topic content that can obscure valuable information. You'll often find bots or swarms of trolls that throw off the statistical significance of certain texts or phrases by spamming with (often inappropriate or nonsensical) posts.

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Another challenge is the context sensitivity of keywords. Words and phrases can have different meanings depending on their context, complicating the task of extraction and requiring sophisticated algorithms to sort out through sentiment analysis. Furthermore, the rapid and dynamic nature of social media means that trends and topics can shift quickly, requiring keyword extraction systems to be both timely and adaptable.

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The sheer volume of data generated on social media platforms also presents scalability issues, making it hard to process and analyze large datasets efficiently. Addressing these challenges requires a combination of advanced natural language processing techniques, machine learning models, and real-time processing capabilities.

Applications

Keyword extraction is an important step in lots of different processes, including:

Social media monitoring

Brands and organizations use keyword extraction to monitor mentions and conversations on social networks. By identifying trending topics and popular keywords, marketers can tailor their campaigns to align with current interests and preferences. This helps in creating more relevant and engaging advertisements.

Competitor analysis

By extracting keywords related to competitors, businesses can gain insights into their rivals’ strategies and performance, helping them to position themselves more effectively in the market. Rellify can provide expert competitive analyses. With a custom Relliverse™, we use deep machine learning to find topics and keywords that are already resonating with audiences in your specific industry or niche. That way, you can create the right content for the right people, bringing better results.  

Content curation

By relying on keyword extraction, and subsequent analysis of keywords related to user interests and interactions, you can build a content plan that's perfectly tailored to maximize your user engagement. Rellify can help with this, too. By providing data visualization, cluster analysis, and lots of other helpful AI-powered data analytics, you can find the right topics that will maximize your ROI.

Which NLP tools are best for social media text analysis?

Fortunately, there's no shortage of tools that can help with information extraction from social media. Check out the different features and interface with each solution, and find one that best matches your goals and preferences. Here are a few examples of popular tools.

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• NLTK (Natural Language Toolkit). NLTK provides a comprehensive suite of text processing libraries and resources, including tokenization, stemming, lemmatization, and text classification. Its highly customizable and includes lots of different linguistic resources and tools for different text analysis tasks, making it suitable for in-depth analysis.
• BERT (Bidirectional Encoder Representations from Transformers). BERT is a transformer-based model developed by Google that excels in understanding context and relationships in text. Its ability to capture nuanced meanings and context makes it highly effective for sentiment analysis, entity recognition, and understanding complex social media interactions.
• RapidMiner. RapidMiner is a data science platform that includes tools for text mining and sentiment analysis with a user-friendly interface. Its visual interface and integration capabilities make it accessible for non-programmers and useful for quickly building and deploying text analysis workflows.

How Rellify uses keyword extraction

Social media is just one way to find out what your target audience is talking about in their online communities. Search engines are another important focus, especially for B2B and B2C marketers.

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At Rellify, we focus on SEO, using deep machine learning models to process large sets of data that are relevant to your industry or niche. Keyword extraction is just one piece of the puzzle, and the rest is a breeze with a custom Relliverse. If you're ready to experience 10x the returns on your SEO efforts with 10x less effort, contact an expert at Rellify today for a free demo.

What's in a name? Well, for search engines, it's complicated. While we, as humans, have a naturally nuanced understanding of language, search engines need a little extra help sorting things out. Let's take a look at one example: the mechanics of named entity recognition. It's the mechanism used by search engines to determine what on earth we, as humans, are trying to say.

What is named entity recognition?

Named entity recognition (NER), sometimes called entity chunking or entity extraction, is a component of information retrieval in natural language processing (NLP). It involves identifying and classifying key parts of a text into predefined categories such as people, organizations, locations, dates, and other specific groups.

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For example, in the sentence "NASA launched the Mars Rover on July 30, 2021, from Cape Canaveral," NER would identify:

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• "NASA" as an organization
• "Mars Rover" as a specific project or mission name
• "July 30, 2021" as a date
• "Cape Canaveral" as a location

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This type of recognition helps in categorizing and extracting relevant information from text for better analysis and understanding.

What is the role of NER in search engine algorithms?

Named entity recognition (NER) is crucial to search algorithms because it helps to improve the textual understanding of bots and the relevance of search results. When you consider the capabilities of AI in contrast to human understanding, it's easy to see how the ambiguity and nuances of language can make categorization difficult — and necessary. Look at this sentence:

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China (group of athletes) won 48 gold medals at the 2008 Olympics in China (location).

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NER enables computers to understand that the same word used twice in one sentence can have different meanings: a group of athletes who share a nationality and a geographic location.

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If you went to Google and asked, "how many gold medals did China win at the 2008 Olympics?" Google wouldn't be scratching its head wondering how a location could win a medal in diving. Instead, NER allows the Google algorithms to know that you're asking about how many gold medals the athletes representing China won at the 2008 Olympics in China.

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Now that you have an example, here’s how NER further contributes to search engine algorithms:

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• Better natural language understanding. NER helps search engines identify and categorize key people, places, and organizations in web content. By recognizing these entities, search engines can better understand the context and subject matter of a page through deep learning, leading to more accurate indexing and retrieval.
• Improved query matching. When users enter search queries, NER helps search engines match those queries with relevant content by identifying and interpreting the named entities in both the query and the indexed pages. NER also helps search engines understand the context and user intent in which named entities are mentioned. This improves the ability to differentiate between entities with similar names. Another term for this is "semantic search."
• Rich snippets and structured data. Search engines use NER to improve the display of search results with rich snippets and structured data. By recognizing entities like products, events, and organizations, search engines can present additional details such as reviews, ratings, or event dates directly in the search results, adding value to the results.
• Content categorization. Search engines use NER to categorize content more effectively. By identifying and tagging entities, search engines can organize content into relevant categories and topics, which helps improve content recommendations and personalization.
• Text summarization. NER enables text summarization to focus on the most important entities and interactions so it can capture the core factual content of the text, rather than just the keywords. NLP tools like GPT and Google's Gemini use this method of text processing.

How does NER work?

We're so glad you asked.

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The process begins with preprocessing, where the text is cleaned and prepared for analysis. This involves removing unnecessary characters, correcting typos, and sometimes normalizing text.

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Next, the text is tokenized, meaning it is broken down into smaller units like words or phrases. Tokenization helps analyze the structure and meaning of the text more effectively. In the sentence,  "John Lennon co-founded the Beatles," it would be split into tokens, "John," "Lennon," "co-founded" and "Beatles."

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Next, the NER system applies feature extraction. This step involves identifying and creating features or characteristics of the text that might be relevant for recognizing named entities. Features can include part-of-speech tags, word shapes, or even surrounding context. In this case, it would be the capital 'L' in Lennon and 'B' in Beatles, which indicates that these are proper nouns.

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Now, we're at the core of NER: entity classification. At this stage, the system uses pre-trained models, which may be based on machine learning algorithms or deep learning networks, to classify each token or sequence of tokens into predefined categories like "Person," "Organization," or "Location." In this case, "John Lennon" would be classified as "person" and the Beatles, an "organization."

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Once the entities are classified, the system proceeds to post-processing. This step involves refining and validating the results to ensure accuracy. It may include resolving ambiguities, such as distinguishing between a person's name and a common noun. This kind of quality control prevents "Beatles" from being classified as group of insects instead of talented rock stars.

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Finally, the system outputs the recognized entities along with their categories, making it easier for users to extract meaningful information from the text. Thanks to NER, you'll receive a wealth of information from a search engine about a group of talented young men from Liverpool who formed one of the most popular bands of all time.

How can I use NER to improve my SEO?

Understanding NER gives you a better grasp of how search engines assess your content and generate SERPs. Your best option is leveraging the insights gained from NER to improve content relevance and quality, creating a better user experience on your website. Here are some more specific strategies to help you incorporate NER into your content strategy and SEO efforts:

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• Optimize for specific entities.  Do some content marketing research. Are there specific companies, products, or locations that are big players in your industry? Make sure that your content includes these entities naturally in the text.
• Create targeted content. Create content around topics that are already doing well in your industry. This should help you align your content with what users and search engines find valuable. Rellify is the expert in content optimization, using deep machine learning to cluster topics and develop keywords that will naturally rank well on SERPs.
• Improve your technical SEO. Include relevant entities in your metadata (title tags, meta descriptions, and headers). This can improve the relevance of your pages for specific queries related to those entities. You should also implement structured data (schema markup) for entities identified through NER.
• Internal linking. Identify important entities in your content and use them to create internal links to related pages on your site. This helps search engines understand the context and relationships between your pages, improving your site's SEO.
• Voice search optimization. Voice search often involves questions about specific entities. Use NER to identify common entities and incorporate them into content designed to answer voice search queries. This improves your chances of being featured in voice search results.

Let Rellify use NER to boost your returns

Rellify is no stranger to the value of NER and natural language processing. We strategically use it in the context of deep learning to better understand your brand and your audience. If you're ready for a content revamp, or looking for ways to boost your digital marketing returns, a custom Relliverse™ from Rellify is the way to go. With a Relliverse™, you can use artificial intelligence with deep machine learning to cluster topics, find keywords, and build content that's relevant and naturally ranks well on search engine results pages. Ready to find out more? Schedule a brief demo with one of our experts today!