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Copywriting vs Content Writing

Copywriting vs. Content Writing: How AI Makes a Difference

In the modern age of digital marketing, writing long-form content is the name of the game when it comes to securing great leads that can turn into customers. But not all writing is created equal, and it's easy to get the different types confused when you're looking for solutions to boost your SEO. Let's look at the differences and similarities between copywriting vs. content writing, so you can start crafting a content marketing strategy that will get better traffic, more leads, and valuable customers.

Copywriting vs content writing: How their roles marketing differ

Both terms involve writing for marketing purposes, but they have some distinct differences.

Content writing

Content writing is all about providing valuable and informative content to the audience. It includes blog posts, articles, online journals, how-to guides, and other types of evergreen content that will educate, entertain, or provide insight and understanding. Content writing is essential for building brand awareness, establishing authority, and engaging with the audience.

Copywriting

Copywriting focuses on creating and publishing persuasive and compelling content that drives the reader to take a specific action. This could include making a purchase or signing up for a newsletter. Copywriting usually is shorter than content writing and is used in advertisements, landing pages, email campaigns, and product descriptions. The primary goal of copywriting is to persuade and convert.

How AI has changed copywriting and content writing

It's no secret that natural language processing and artificial intelligence have revolutionized how we produce online media. But what are some tangible ways we've seen these innovations transform both copywriting and content writing?

Content writing and AI

Content writing, while similar to copywriting in some ways, focuses more on creating informative, engaging, and enlightening content that is not directly geared toward selling a product or service. If copywriting is an Instagram caption underneath a photo of a beach chair you're trying to trying to sell, content writing is the blog article on your website (where you sell beach chairs) that gives advice about sun protection. Here's how AI has changed the way tech-savvy and highly innovative companies write content:

  • Content creation. AI has made it easier to create content at scale, including articles, reports, and whitepapers. AI-powered tools are particularly helpful with creativity — sparking ideas and generating roadmaps for writers who aren't extensively familiar with certain topics. Anyone relying on AI content production should proceed with caution, because plagiarism can still be a pitfall for NLP models like ChatGPT. A writer who depends on AI-generated content must also be a vigilant proofreader, editor, and fact-checker.
  • Research assistance. AI can assist content writers in researching topics by quickly gathering information from across the internet. It can help writers save time and ensure that their content is accurate and well-researched. This is where a software solution like a custom Relliverse™ really gets a chance to shine. A Relliverse™ is able to crawl large volumes of the internet that belong to you and your competitors, and determine which topics are already most effectively being used. Then, with extensive knowledge of your particular niche and target audience, a custom Relliverse™ is built to provide you with topics, subtopics, and keywords that will best attract both search engines and customers.
  • Content optimization. After the research is done, AI-powered tools can help content writers optimize their content for SEO by suggesting and tracking relevant keywords and identifying opportunities for improvement. The Rellify Platform itself is a great example of this use case. It provides keyword suggestions based on AI-assisted data gathering, and shows you how well your content uses them with an "R-score." You can use this score to make sure you're effectively using headings, subheadings, meta descriptions, and readability.
  • Personalization. AI can help content writers create more personalized content by analyzing data about individual users and tailoring the content to their interests and needs. AI can even help you generate lots of specific "buyer personas" that you can categorize, track, analyze, and shape for effectiveness. This can help improve engagement and drive conversions.
  • Content curation. AI can assist content writers in curating relevant content from across the web — because the internet is a really big place when you're looking for something specific. This can help writers stay informed about industry trends and developments, as well as provide valuable resources for their audience.

Copywriting and AI

Since top-notch copywriting skills often rely on a nuanced understanding of a company, its brand, its audience, consumer behavior, pop culture, and trends, it might be a minute before AI can fully automate copywriting. But we can still see it being used in practical ways by both professional copywriters and content marketing firms. It can help with:

  1. Content generation. AI-powered tools can use natural language processing to help copywriters generate content quickly and at scale, especially if you're adept at writing prompts. This may include assistance with generating ideas, titles, headlines, product descriptions, blurbs, and social media content.
  2. Improved efficiency. AI can help copywriters streamline their workflows by automating tasks such as research, keyword optimization, and content formatting. This allows writers to focus more on the creative aspects of their work, leading to higher-quality content in less time.
  3. Personalization. AI enables copywriters to create more personalized content by analyzing data about individual users and tailoring the messaging. This can help improve engagement and conversion rates.

Rellify is a game-changer for both!

When it comes to effectively using AI to research and create content, Rellify is a thought leader and game-changer. By strategically leveraging the power of AI throughout the entire process, whether its copywriting or content writing, Rellify helps many different types of companies reach their marketing goals. With a state-of-the-art custom Relliverse™, marketers are able to leverage a custom approach to AI-assisted content creation that's tailor-made to yield better results. Want to see how Rellify can make a difference? Schedule a meeting or a demo with one of our Rellify experts today!

How to Create a Buyer Persona that Gets You Better Leads|How to Create a Buyer Persona that Gets You Better Leads - Inside art

How to Create a Buyer Persona that Gets You Better Leads

By Dan Duke - If you're looking for ways to reach your target customer, your first task should be to craft a detailed portrait of your target market. An important part of creating that portrait is developing a "buyer persona."

What is a buyer persona?

In marketing, "buyer persona" refers to a hypothetical representation of an ideal customer based on data about existing customers. It's a detailed profile that considers demographic information, behavior patterns, motivations, goals, challenges, and preferences of a specific segment of the target audience.

Buyer personas help tremendously from the very start of the market research process to the end — when you start making sales. They enable companies to better understand their target audience, tailor their marketing efforts to meet their needs, and ultimately drive business growth and success.

The value applies whether you are developing a strategy for radio and television advertising or creating an online content marketing campaign.

In this article, we'll take a close look at what makes a good buyer persona, why it's critical to a robust marketing strategy, and how to create one that works.

Why are buyer personas so important?

Before you can get someone into the customer journey pipeline, you need to figure out who they are and what makes them tick. Here are five ways a buyer persona can shape your marketing process and yield better results:

  • Targeted communication. Focusing on buyer personas allows marketers to tailor their messages and content to resonate with specific segments of their audience. By understanding the unique needs, preferences, and pain points of each persona, marketers can craft more relevant and compelling communication strategies, increasing the likelihood of engagement and conversion.
  • Product development. Buyer personas provide valuable insights into the needs, preferences, and challenges of different customer segments, informing product development. By aligning product features, benefits, and presentation with the expectations of target personas, companies can better address the needs of potential customers.
  • Improved marketing ROI. Targeting specific buyer personas allows marketers to focus on channels and tactics that are most likely to reach and resonate with their intended audience. They'll reduce wasted spending on irrelevant audiences, resulting in a higher return on investment (ROI).
  • Personalized customer experience. Leveraging buyer personas allows companies to deliver personalized experiences throughout the customer journey. And in today's market — personalization is the name of the game. Catering to the preferences and behaviors of individual personas, can enhance customer satisfaction and loyalty.
  • Competitive advantage. If you understand your customer base better than your competition, if you can anticipate and meet the needs of specific customer segments better than your competitors, you are well on the way to boosting profitability.

Understanding the Different Types of Personas in Marketing

Marketing experts use different types of buyer personas to reflect the many factors that influence consumer behavior and buying decisions. By considering various dimensions, marketers can create comprehensive and nuanced representations of their audience. This allows for more effective targeting, messaging, and product development strategies.

These are some different ways to approach personas, each with its own benefits.

  • Demographic personas. Based on factors such as age, gender, income, occupation, and location.
  • Psychographic personas. Reflecting personality traits, values, interests, lifestyle choices, and attitudes.
  • Behavioral personas. Defined by purchasing behaviors, decision-making processes, brand interactions, and usage patterns.
  • Contextual personas. Representing personas based on specific contexts or situations, such as first-time buyers, repeat customers, or customers in a particular stage of the buying journey.

More than one of these categories can be, and perhaps should be, used when crafting a buyer persona. However, getting too specific might pigeon-hole your vision and create limitations for broader markets. It's important to strike a balance between specification and generalization when creating a persona. If you're confused about how that works, keep reading!

Creating a Buyer Persona: Step-by-Step Guide

Ready to venture into the buyer persona building process for your company? Here's a great place to start:

  1. Identify your target audience. Determine who you want to reach with your products or services.
  2. Gather data. Use surveys, interviews, market research, and analytics to collect information about your target audience's demographics, psychographics, behaviors, and preferences.
  3. Segment your audience. Group your target audience into distinct segments based on shared characteristics or needs.
  4. Create persona profiles. Develop detailed profiles for each segment, including demographic information, goals, challenges, interests, values, and preferred communication channels.
  5. Personalize the personas. Give each persona a name, photo, and backstory to humanize and make them more relatable.
  6. Refine and validate. Continuously update and refine your personas based on feedback, data analysis, and market changes to ensure they accurately represent your target audience.

B2B and B2C Buyer Persona Examples

Now that we've looked at what a buyer persona is and how it helps to overcome marketing challenges, let's look at some examples. A typical buyer persona template includes sections such as demographics (age, gender, location), psychographics (interests, values, lifestyle), behavior (buying habits, preferred channels), goals and challenges, and a fictional name and image to humanize the persona.

B2C Buyer Persona Example

  • Name: Benjamin Young
  • Demographics: male, dual-income, 32 years old, lives in an urban area
  • Psychographics: Health-conscious, environmentally conscious, values convenience
  • Behavior: Regularly shops online for organic and sustainable products, follows health and wellness influencers on social media.
  • Goals and challenges: Seeks products that align with his values, desires convenience in his busy lifestyle, concerned about the environmental impact of his purchases.

Can you guess what kind of company might construct this fictional person as their "buyer persona"? Benjamin Young, a health-conscious individual who values convenience and sustainability, would be highly desirable for companies in the organic and sustainable products industry. Businesses specializing in online retail of organic groceries, eco-friendly household items, or sustainable fashion would likely see Benjamin as their ideal customer. Meal delivery services focusing on healthy and environmentally friendly options could also target Benjamin as a prime demographic for what they offer.

Now, let's look at another example.

B2B Buyer Persona Example

  • Name: Katie Collins
  • Demographics: female, 40 years old
  • Job title: Senior Manager, Wealth Management Firm
  • Company size: Medium-sized
  • Industry: Financial services
  • Psychographics: Detail-oriented, strategic thinker, focused on delivering exceptional client experiences, values innovation and efficiency.
  • Behavior: Attends industry conferences and networking events, actively seeks technology solutions to enhance client service and streamline operations, engages in continuous professional development.
  • Goals and challenges: Seeks technology platforms that improve data analysis and reporting capabilities, aims to provide personalized financial advice and investment solutions to high-net-worth clients, faces pressure to stay compliant with regulatory requirements while driving business growth.

Can you guess what kind of business might benefit from focusing on buyer persona like Katie Collins? This person would be a highly beneficial target to companies providing financial technology solutions. Firms specializing in innovative data analysis platforms, client relationship management software, or compliance automation tools would likely view Katie's firm as an ideal customer due to her focus on delivering exceptional client experiences and her interest in technology solutions to enhance operational efficiency and regulatory compliance. Additionally, consulting firms offering strategic guidance in finance and wealth management practices might target her firm for their expertise in optimizing client service and driving business growth.

The Power of Personalization and Customization in Persona Marketing

With a deep understanding and representation of the target audience, buyer personas help marketers tailor their strategies, messages, and products to meet the specific needs and preferences of different customer segments. A targeted approach like this can improve engagement, raise conversion rates, and increase customer satisfaction.

Looking to build your own buyer persona for your business? Rellify has extensive experience with helping clients understand their market, potential customers, and what they're searching for. With a custom Relliverse™, you can even delve into the specifics of what your competitors with similar buyer personas are doing right and exactly what kind of content will reach audiences that align with your buyer persona. With expertise and insights tailored to your niche market business, you're ready to see unparalleled results from your tailored marketing efforts. Contact a Rellify expert today to find out how.

Indirect vs. direct content competition: What is the difference?

Indirect vs. Direct Content Competition: What's the Difference?

By Nora Firestone - If you're looking to bolster your return on investment from content marketing, you're going to have to start at the beginning of the process: Sizing up your competition. But not all content competition is created equal. In this article, we'll take a look at the distinctions between indirect and direct competition, so you'll be prepared to take advantage of both.

What is content competition?

The digital marketplace is a competitive landscape where brands and businesses create and distribute content. And that content competition is intense. Blogs, videos, social media posts, white papers, podcasts — all these forms of content and more battle for the attention of potential customers. Anything you put online to promote your business is considered "content competition" by your rivals. It all competes to win time with target audiences.

Let's take a look at how to classify different types of content competition so you can best develop a killer SEO and content strategy for your next round of target marketing.

Direct content competition

Direct competitors are those businesses or brands that offer similar products or services to the same target audience. In the context of content marketing competition, it applies to content that targets the same audience with similar strategies, topics, keywords, themes, or solutions.

Examples of direct competition in content marketing could include two fitness brands producing content about workout routines or two minimalist fashion brands putting out style guides.

Indirect content competition

Indirect competitors are those businesses or brands that offer different products or services but still compete for the attention and resources of the same target audience.

Indirect competitors produce content that doesn't directly overlap with another brand's offerings. They may, however, address related topics, interests, or pain points of the audience, even though their products or services are not identical.

Examples of indirect competition in content marketing could include a fitness brand competing indirectly with a nutritional supplement company or a sustainable raincoat brand competing with an eco-conscious shoe company.

How content competition can inform your marketing strategy

Competitors play a significant role in shaping content marketing strategies through both direct and indirect means. Directly, competitors' content can serve as benchmarks for structure, quality, tone, and messaging. It can inspire marketers to innovate and differentiate their own content offerings. Observing indirect competitors' successes and failures provides valuable insights into audience preferences, trends, and gaps in the market. These lessons can be used to shape your content creation and distribution decisions.

By continuously monitoring and analyzing competitors' content strategies, marketers can refine their approach to stay relevant and competitive.

Identifying and analyzing your competitors

While the rivalry might be fierce, it helps to look at your content and product competition as a learning tool to help guide your own branding and marketing efforts.

By identifying competitors' strengths, you can gain insights into what resonates with your shared audience and leverage those insights to improve your own content. Similarly, recognizing weaknesses in competitors' content allows you to capitalize on opportunities to fill gaps in the market and offer unique value propositions, ultimately helping you to differentiate your brand and drive better engagement and conversion rates.

Tools for competitor analysis

Rellify is a groundbreaking tool for content marketing. One of things we can do for a client is build a Relliverse™: a company-specific AI subject-matter expert for all topics that move your company. Other content marketers use AI tools that scan the entire internet to produce generic content. We use industry-leading Deep Machine Learning to crawl the URLs of your company and your competitors. With that better-focused, custom Relliverse™ built specifically around your company's niche, you'll be able to find out exactly what kind of content competition you're up against and precisely what you need to write about in order to get a higher ranking on search engines.

Unlock your domain expertise with Relliverse™

  • Discover essential topics. Uncover the subjects you need to explore to establish yourself — not your competitors — as the authority in your field.
  • Spot content opportunities. Identify gaps in your competitors' content, as well as your own, that present opportunities to win the battle for search engine results.
  • Strategize with precision. Prioritize your content creation efforts based on the competitive landscape and the relevance of topics.
  • Effortless content planning. Craft a comprehensive content strategy in moments, not months.

How Relliverse elevates your strategy.

  • Comprehensive web harvesting. We scour the internet, collecting a vast array of web pages and documents related to your chosen topic.
  • Advanced analysis. Using cutting-edge Natural Language Processing (NLP) and Deep Machine Learning, we distill this information into coherent clusters of main topics and subtopics.
  • Competitive intelligence gathering. We compile data on your and your competitors' website traffic, keyword usage, and search rankings.
  • Integrated insights dashboard. By merging these insights, the Relliverse dashboard serves as your go-to resource for identifying prime topics for content development, ensuring your position as a domain leader while highlighting your current topic coverage and benchmarking against competitors.

Google Analytics is another analytics software tool that can provide additional insights about your traffic, including audience demographics, traffic sources (where your visitors are coming from), and content performance. By monitoring your own demographics, you'll be able to make comparisons to how well that matches up with the demographics of your content competitors. The Rellify Platform integrates with Google Search Console as part of our monitoring service, making it easy to track how your content is performing.

These tools will help you to stay attuned to competitors' tactics and strategies. By consistently striving to produce high-quality and engaging content that stays fiercely competitive, you can attract and retain the right audience and improve profitability.

Use Rellify to boost your content performance

In this competitive market, Rellify knows just how important it is to use insights from both direct and indirect content competition to build an airtight marketing strategy. The state-of-the-art Relliverse™ enables you to see your competitors like never before. And the Rellify Platform helps you produce targeted content with efficiency and speed. We enable you to combine sophisticated AI tools with the human expertise of writing and editing to create content that can soar to the top of search engine results pages.

Want to find out more about how Rellify can use content competition to boost your own content? Contact an expert today!

Content Audit|

The Better Content Audit: the Power of the Relliverse™ in SEO

By Nora Firestone - Does your business have an online presence, but you've been wondering whether your content is actually making a meaningful impact? It might be time to consider "the better content audit" with a custom Relliverse™.

What is a content audit?

A content audit is a review and analysis of all the relevant content a business has produced and disseminated. This may include articles, blog posts, and other forms of long-form content. It takes into account any sort of written content that you're using to promote your product, services, or organization.

An audit helps assess the contents' quality, relevance, and performance against defined objectives. For businesses that use long-form content, this type of audit helps to identify:

  • Strengths and weaknesses in their content strategy
  • Opportunities for improvement
  • Gaps in content coverage.

Armed with the knowledge, businesses can improve the effectiveness of their content marketing efforts and increase engagement with their target audience. And we know what that means: more organic traffic.

What's a content gap analysis? Is it different from an audit?

It's not necessarily different, just another part of the content audit process at Rellify. A content gap analysis identifies topics or areas of interest that have not been adequately covered by a website's existing content. They're more relevant to the target audience's needs, interests, or search queries.

A gap analysis helps discover opportunities to create new content that fills these gaps. Make the most of your marketing budget by addressing the questions and needs of your audience that competitors are missing. By performing this type of analysis, businesses can strategically enhance their content, improve SEO rankings, and better meet their audience's needs.

The role of machine learning and AI in "the Better Content Audit"

Machine learning and artificial intelligence are the latest MVPs on the scene when it comes to content audits. They help with automating the analyzation of large volumes of content — identifying patterns, trends, and anomalies that might not be evident to human auditors, even if they're using SEO tools.

These technologies can efficiently classify content, assess its messaging, readability, and SEO effectiveness, and even predict future content performance. The automation of the auditing process allows businesses to make data-driven decisions to:

  • Optimize content strategy
  • Improve content quality
  • Enhance user engagement more effectively and efficiently than traditional, manual methods

The Relliverse™ difference

What's "out"? Relying on tedious and manual processes that are prone to human error. What's "in"? Content audits that leverage machine learning and artificial intelligence for fast, efficient, thorough, and reliable analysis.

A Relliverse™ is your company-specific AI subject-matter expert. Instead of casting your net into the world wide web of content and hoping to catch topics that resonate, and then re-evaluating when they don't, a Relliverse™ can tell you exactly what’s currently working (and will work) by crawling the web for relevant content that caters to your customer’s interests. It’s a custom-built tool that can quickly and easily be refined to your company’s niche.

These are some of the ways you can expect a Relliverse to take your content audits to the next level by harnessing the power of AI.

Competitive analysis

Not only does the Relliverse™ allow your business to analyze its own content effectiveness, but it also lets you thoroughly and quickly assess your competitors' content with accuracy. This can help you understand what strategies are working well in their industry and identify gaps in your own content that competitors are capitalizing on.

Machine learning clustering

The use of AI and machine learning within topic modeling to cluster articles into topics and subtopics can provide a more nuanced and detailed analysis that goes beyond typical content audit findings. It can uncover patterns and trends that might be missed through manual analysis. A custom Relliverse™ even provides a graphic visualization — a hierarchy of these topics and subtopics for better understanding.

Data-driven insights

AI has the power to leverage data in ways that the online content marketing industry has never seen. The ability to compare large volumes of numbers and see the performance of different topics can lead to more informed and strategic decisions for a future content strategy. When a custom Relliverse™ combs through huge volumes of data, it's not just looking at the content itself, but the context and relevancy that surrounds it. This kind of content intelligence allows a Relliverse™ to make recommendations of topics and keywords that most accurately match the context of your business and its marketing goals. Machine-learning helps the continuation of fine-tuning of this content relevancy as it applies to your target audience or customers.

Ready to audit your content the Rellify way?

Ready for a website audit? Rellify is able to produce a much more accurate and relevant framework to assess your content and develop a winning strategy. To find out more about how a custom Relliverse™ can revolutionize your content audits, contact a Rellify expert today!

Modeling Topics with AI Improves Your Keyword Clustering Capabilities|The process of data in the Relliverse

Modeling Topics with AI Improves Your Keyword Clustering Capabilities

By Sebastian Paulke - Topic modeling has become one of the fundamental steps within the long-form content creation process, superseding the use of keyword clustering. Rellify does it a bit differently than the rest of the generic large language learning models and SEO tools. In this article, we'll look at how Rellify uses topic modeling to create custom Relliverses™, leading to the creation of more relevant content that will resonate with more target customers. Let's dive in!

What is topic modeling?

First, let's go over some of the basic terms. Topic modeling is a machine learning technique used to identify abstract topics or themes present in a collection of documents, articles or text data. It's a way to automatically discover the underlying patterns and structures in textual data without needing prior knowledge of the topics. Rellify uses topic modeling, but we'll get more into that later.

What is keyword clustering?

Keyword clustering is a method used in natural language processing (NLP) and machine learning to organize and group related keywords or terms into clusters or categories. It's part of the topic modeling process.

By organizing keywords into clusters, you can gain insights into the main topics and themes that are important to your customers. This can help you identify trends, focus on areas of improvement, and provide context understanding for your content. Most importantly, you gain visibility on search engines when you focusing on content, or search terms, that your target audience is interested in. Note that keyword clustering and topic clustering are different. Keyword clustering is a way to bring focus to an individual web page. Topic clustering is a technique for optimizing a group of web pages for better search engine results for a website as well as the individual pages.

While both topic and keyword clustering have been used for years in, but the tools of modern AI make them much more effective. That's exactly why Rellify's Relliverse™ is a game-changer.

How a custom Relliverse™ uses AI in topic modeling

Wait a second ... what exactly is a Relliverse™? To put it simply, a Relliverse™ is your company-specific AI subject-matter expert. Instead of casting your net into the world wide web of content and hoping to find topics that resonate, a Relliverse™ can tell you exactly what's currently working (and will work) in the realm of content creation by crawling the web for relevant content that caters to your customer's interests. It's a custom-built tool that can quickly and easily be refined to your company's niche.

Now that we've covered that, let's look at how a Relliverse™ uses AI to model topics — eventually leading to more accurate keyword clustering and better frameworks for building content.

The power of a custom Relliverse™ powered by AI

The all-powerful Google algorithm is mysterious isn't it? How do you make sure you're choosing the right topics and keywords that will not only be seen, but also will resonate with your target audience? It's a question best solved by incorporating tech's latest innovation: AI. Here's an overview of how Rellify uses AI data analysis within the process of topic modeling.

  1. Rellify extracts meaningful numerical representations for each article it crawls and then clusters them based on these representations (embeddings).
  2. The topic "clustering" itself can be described as "unsupervised learning" with multiple steps. Rellify re-clusters, merges, and refines groups, and remove outliers.
  3. Based on these clusters, Rellify builds the topic hierarchy and finally generate names for each topic. This is what you will see as the "Relliverse™.
  4. Once Rellify has all the topics organized, we create a keyword list or "keyword vocabulary" for you based on all the keywords gleaned from a set of articles focused on a specific topic. These are determined to be the most important, frequently used, and relevant keywords. Both the "Explore" and "Smart Brief" sections within Rellify provide you with the keywords from your vocabulary, relevant to what you searched and selected.
  5. Using AI, these individual keywords can then be grouped within subtopics based on their similar semantics or co-occurrence patterns.

The Rellify difference

By using dynamic learning afforded by AI in the topic modeling process, both within topic and keyword clustering, Rellify is able to produce a much more accurate and relevant framework to build your content with efficiency. We can even use artificial intelligence to build briefs and generate text, if that's your style. To find out more about how the Rellify process a custom Relliverse™ can revolutionize your content creation and get results, contact a Rellify expert today!

Large Language Models versus Enterprise AI|Weaknesses and risks of LLMs

How Enterprise AI Outperforms Large Language Models for Marketing

By Jayne Schultheis - Although the concept of "artificial intelligence" is at least as old as the Turing machine, which dates back to the 1930s, it became a household term only with the launch of ChatGPT in 2022. OpenAI made the ingenious move of giving this complex technology a simple, conversational user interface and presenting it free to all. That brought generative AI and large language models (LLMs) into focus for the general public.

The ease of use and the results of ChatGPT excited and fascinated the masses as well as business professionals. If you ask ChatGPT what it can be used for, the engine suggests the following activities: content generation, answering questions, text summarization, translations, programming and coding, educational support, idea generation, communication and dialog, text analysis, entertainment.*

Apparently ChatGPT's a know-it-all in the field of speech-related tasks. No wonder that marketers, whose business it is to develop stories and distribute them to audiences, have pounced on the free tool. In fact, 14% of respondents to a recent McKinsey study said their organizations now use generative AI for marketing and sales. They use AI tools like ChatGPT to write blog articles and social media posts, develop content strategies, create cover letters and more.

But the hype around the LLM as a magic bullet has died down a bit. A more refined application, enterprise AI, is gaining ground. The more content LLMs developed, the more obvious its weaknesses have become. Many companies now prohibit the use of ChatGPT for corporate purposes. A consensus is spreading that the supposedly "all-knowing" ChatGPT, its competitor Google Bard and others like them could seriously harm companies if used improperly.

Even in the AI industry, the realization has spread. The German magazine Der Spiegel published an article in 2023 declaring that "OpenAI will not dominate the AI era." According to Der Spiegel, Sam Altman, OpenAI CEO, believes that we have "reached the end of the era of these gigantic models." It's no wonder, then, that the trend is growing to develop smaller, specialized models — in other words, to offer "bespoke suits" rather than "off-the-rack" solutions.

One form of these "bespoke suits" are enterprise AIs, such as Rellify's Relliverse™. Before examining enterprise AI in depth, let's take a closer look at large language models as well as their weaknesses and the risks they can present.

What Is a Large Language Model?

ChatGPT can answer this question, too: A large language model (LLM) is an advanced type of artificial intelligence model designed to understand and generate human-like text in natural language. These models are based on deep neural networks and are trained on vast amounts of text data to perform various language-related tasks. One of the most well-known examples of a large language model is GPT-3 (Generative Pre-trained Transformer 3), developed by OpenAI. ... Large language models such as GPT-3 are prevalent in various fields, including machine translation, text summarization, text classification, chatbots, and even creative content generation. However, they are also the subject of ethical and societal discussions due to their text generation and manipulation capabilities, which can potentially be misused.*  

So ChatGPT, using LLM, offers a relatively superficial statement about a matter that in reality is deeply complex. One thing is immediately apparent: LLMs' great weakness is triviality (the answer borders on the banal) while it also seems to have supreme self-confidence (the answer is simultaneously exhaustive).

Weaknesses and Risks of LLMs

First, consider that LLMs have no understanding of language in the strict sense, nor do they have any notion of true and false. All the output of an LLM is merely the "most likely" string of words that would follow the prompt (the query or task) entered. The brilliance of the programmers who create these models and the vast amount of data that LLMs incorporate — 1 trillion parameters for ChatGPT-4 — can produce valuable results. They can give the impression that the machine somehow understands the prompt and responds to it within proper context and with a reliable degree of authority or authenticity. In fact, this is not the case. The process has its flaws.

Probability rather than facts

Put simply, an LLM responds to a query with a string of characters that, according to its analysis of billions of "events," would most often follow the input string (the query). In addition, the underlying data is typically not up to date. In the case of ChatGPT-3, the LLM considers data up to 2021, meaning that the engine has little to nothing to say about topics that appeared on the web after that date. ChatGPT-4 was upgraded to include more up-to-date information.

Granted, that doesn't mean the answers of an LLM are always wrong or only randomly correct. Quite the contrary: Due to the large amount of available data, they are absolutely correct in perhaps the majority of cases. However, the issue that makes companies quite uncomfortable is that they do not know when the machine is right and when it is wrong. In principle, it is necessary to check every statement.

Another issue is that the machine inevitably adopts the tendencies, or leanings, of the material on which it's based. Thus, it may well happen that ChatGPT returns a politically incorrect statement because there is predominantly politically incorrect content in its dataset on this topic. This can quickly bring trouble to companies if they publish such statements.

Copyright issues

Another concern relates to intellectual property. What if ChatGPT provides content that is copyrighted? That exposes the user to the risk of legal disputes — and dozens are already pending against OpenAI and other LLM-providers in the U.S.

No brand consistency

LLMs do not recognize the values and other attributes of the organizations using them and consequently cannot reflect them in brand-specific content.

Lack of creativity and originality

Last but not least, Large Language Models are structurally not creative. ChatGPT says of itself that it would be well suited for idea generation. But the ideas it presents are merely a systematic rehash of existing approaches in its database and therefore not very original. For example, if you ask ChatGPT what to write about on a particular topic, you'll receive very generic suggestions that you likely could have thought of yourself.

In short: Companies can't simply create content with ChatGPT and then use it unchecked. At the very least, companies must define a quality assurance process and act on it. As reliance on AI grows, human discernment and editorial diligence will become more important than ever.

Ways out of the LLM Problem

If you realize that as a company you can't blindly use ChatGPT and other LLMs in many applications, you're left with three strategic options:

"Pimp my ride"

Companies use refined tools to create prompts for LLMs. This way, they get better results that can also reflect their brand language, but the quality of the results remains dependent on those closed LLMs and the constant fine-tuning of their prompts. Also, they need a dedicated prompt engineer, to be funded by their budget.

Do it yourself

Companies develop their own in-house AI, i.e. with open-source models. If they buy and analyze the right data, it will be more relevant and the corresponding responses should be more accurate. Of course to do this they need a professional AI department, a resilient budget, and the ability to manage a large IT project and lead it to success. For most companies, this is simply not feasible.

Enterprise AI (AI-as-a-Service)

Enterprises purchase a proprietary, topic-specific AI developed especially for them, such as Rellify's Relliverse™. Based on well-defined, relevant and always up-to-date data, customers acquire an exclusive, bespoke solution, with full access and control.

What Differentiates an Enterprise AI From an LLM?

The most important difference between a topic-specific AI like the Relliverse™ and the big, closed LLMs like ChatGPT stems from the underlying data. Unlike the catch-all generic-data mishmash of the big LLMs, the data for a Relliverse™ is curated individually for each customer using crawlers and machine learning. The system crawls the URLs of the client company and its competitors and uses its patent-pending deep machine learning to analyze vast amounts of related documents.

This identifies tens of thousands of keywords and phrases, as well as millions of connections between them. All relevant search terms are then assigned. Then the AI clusters the data by main topics, level-1 subtopics, level-2 subtopics and level-3 subtopics, taking into account millions of data points and conducting a depth of analysis that no human team could possibly do.

The results of this process are made available in the browser-based Rellify Content Intelligence application. There you can see at a glance all the topics the AI analysis deems of strategic importance and which, if processed appropriately, will help secure topic authority and generate organic traffic. The creation of content based on the content intelligence provided by the Relliverse™ then takes place within the same application in a continuous process guided and supported by AI.

Advantages of an Enterprise AI-as-a-Service

The advantage of a Relliverse™ lies in the underlying data. Since the system is based exclusively on content that is strategically relevant to the topics of the commissioning company, a true subject-matter expert AI is created. Its users can understand their own content and that of their competitors like never before. They also can see their content market shares and visibility at a glance and always know what to write about and why — without having to perform constant tedious analyses.

In addition, AI helps in the guided writing process of the Content Intelligence application. In the first step, users can see at a glance the strategic topics to pursue based on the findings of the Relliverse™. Once a topic has been selected, the editor or writer can manually compose the article structure using easy, intuitive drag-and-drop functionality. Or, with one click, they can let the AI develop an article outline based on the selected topic and the assigned keywords.

When writing the article itself, the author has the option to have the entire article created automatically or have one or more paragraph(s) auto-generated for each heading or subhead. This is where another critical competitive advantage of a Relliverse™ becomes apparent: In the automated AI content generation, the LLM behind it (currently GPT-4) gets fed with prompts for which the entire brief — content structure, keywords, questions, etc. — is taken into account. This means that the LLM receives a customer-specific optimized prompt with the exact relevant inputs for the text to be generated. Rellify's approach guarantees maximum quality of its output.

To stick with the analogy used at the beginning, it can also be said that a proprietary enterprise AI-as-a-service is a perfect fit —like a bespoke suit. It reflects the client's personality and represents the organization with a level of authority and professionalism that evokes confidence within the market. Put simply, it makes the wearer look better overall than rivals that use an off-the-rack LLM. And that's a real competitive advantage in a marketplace where large language models are churning out content at a record pace, all vying for the same readers.

*text is quoted from ChatGPT

HTTP Errors and Beyond: Understanding the Basics of URL Issues|Five Classes of HTTP Messages

HTTP Errors and Beyond: Understanding the Basics of URL Issues

By Nora Firestone - In this final part of our 4-part series on URLs, we'll give you a broad overview of common URL errors — called HTTP errors —and how to troubleshoot them.

Part One:Unlocking the Power of URLs in SEO

art Two:Creating SEO-Friendly URL Structures

Part Three:Understanding and Implementing URL Redirects

Part Four: Troubleshooting Common URL Issues: HTTP Errors

HTTP errors: The role of 404

Quite a few steps occur when you type a domain name into a web browser, hit enter and get the web page you want. Part of the complication arises because computer networks use numbers to identify web pages — something like 111.22.33.444. Those numbers represent an IP address, short for Internet Protocol address. However, it's hard for people to remember strings of numbers, so we use domain names, like rellify.com. To bridge that gap, there is the Domain Name System (DNS), which centers around a database that matches domain names and IP addresses.

Here's a simplified version of what happens when you type a domain name into a browser and hit enter:

  • The browser asks the DNS for the corresponding IP address.
  • When the browser gets the address, it sends an HTTP (Hypertext Transfer Protocol) request to the website. (HTTP is an internet protocol that allows servers and clients, such as web browsers, to communicate.)
  • A server for the website, or IP address, sends the browser the data needed to present the site on your laptop or smartphone.

During this process, there are five classes of HTTP messages, grouped according to the type of response and numbered accordingly, that may be sent:

  • Informational responses (100 – 199). These indicated the response to a browser request is in the works.
  • Successful responses (200 – 299). The request has been answered.
  • Redirection messages (300 – 399). A URL redirect has sent both users and search engines to a different URL than the one they originally sought.
  • Client error responses (400 – 499). There is problem with the request made by the client — the user or browser.
  • Server error responses (500 – 599). The server cannot handle the request.

404 errors

The most common problem that occurs, and the message that users most often see, is a 404 error. It means the domain name or URL can't be located, usually because it doesn't exist. Here are the common reasons for a "404 Not Found" response:

  • The website's owner or administrator deleted the page.
  • The page was renamed but the links to it were not updated.
  • The page is under construction, was never created or is temporarily unavailable due to maintenance or technical issues.
  • The user's network or firewall settings are blocking the page.
  • The user does not have the clearance needed to access a restricted page.

Broken URLs and their subsequent 404 errors often occur when website content is removed, reorganized or renamed.

Website administrators can customize the appearance of 404 error pages to provide additional information to users, suggest navigation options, or display a search bar. Users also can try some basic techniques to correct the problem, such as:

  • Refresh the page, which might fix a temporary issue.
  • Check to see if you typed the URL incorrectly.
  • Try accessing the URL from a different device. If that works, the problem might be in your browser cache and/or cookies. Clear them and see if that fixes the problem.
  • Turn off your browser extensions. They might be interacting with cookies on the site you want. After turning them off, refresh the page to see if it works.
  • You might be trying to upload data beyond the limit of the target website. Test this possibility by trying to send a much smaller file. If that works, you might have to compress the file to send it successfully.

How 404 errors impact SEO

When search engines like Google encounter 404 errors, they note that the content is not available. If a significant number of pages on a website result in 404 errors, it can hurt the SEO performance of the site. Search engines may interpret this as poor website maintenance or outdated content. It means that the content is less likely to rank well in search engine results.

Site administrators who handle 404 errors properly can help search engines avoid indexing duplicate or irrelevant content, contributing to better search rankings. They can use Google Search Console, Google Analytics or crawling software to 404 errors.

Troubleshooting through maintenance and cleanup

Regularly identifying and fixing broken URLs is part of website maintenance. It helps provide a positive user experience, prevents negative SEO consequences, and maintains accurate and up-to-date content.

To address broken URLs and mitigate "404 Not Found" errors, website administrators can implement strategies like setting up proper redirects (e.g., 301 redirects) for moved or renamed content, customizing informative 404 error pages, and regularly auditing and updating website links.

DNS problems

Problems with your DNS settings can cause HTTP errors, and you get a “DNS server not responding" message.

Sometimes, local DNS data sometimes becomes out-of-date or gets corrupted. Or, you might be using an out-dated browser. In this case, you need merely to try a different browser or update the one you are using. However, you might need to clear your DNS cache.

Duplicate content causing URL issues

Duplicate content poses a significant challenge in URL management and SEO, potentially leading to issues such as diluted search rankings and confusion for search engines in determining the most relevant content.

This problem often arises when identical or substantially similar content exists under different URLs, creating a dilemma for search engines in determining which version to prioritize.

To address duplicate content issues, website administrators can implement canonicalization techniques, such as using canonical tags, to specify the preferred URL version for indexing. Additionally, setting up 301 redirects from duplicate URLs to the canonical version consolidates the content signals and prevents search engines from indexing multiple versions.

Regularly auditing and resolving duplicate content issues is crucial for maintaining a healthy SEO profile and ensuring that search engines accurately rank and display the most relevant content.

Use URLs to Boost Your SEO Power

The power of URLs in the realm of SEO is often underestimated. As we've explored in our series, URLs are far more than mere web addresses — they're critical tools in:

  • Structuring a site
  • Enhancing user experience
  • Guiding search engine indexing
  • Bolstering page authority

A functional, optimized URL's role in SEO extends from the straightforwardness of site navigation to the complexities of link equity and keyword optimization. It's all a part of the broader SEO puzzle.

If you have questions or concerns about the performance of your website and your ability to generate leads and convert customers, contact Rellify. Try our Article Intelligence application for 30 days — no risk and no charge. We combine human expertise and AI to accelerate and improve the quality of your content creation.

Understanding URL Redirects: A Comprehensive Guide|Redirect Scenarios

Understanding URL Redirects: A Comprehensive Guide

By Dan Duke - This is the third part in our 4-part series on URLs and their relationship with search engine optimization. In this section, we’ll look at URL redirects — an important tool for maintaining the quality of a website and implementing an SEO strategy.

 

Part One: Unlocking the Power of URLs in SEO

Part Two: Creating SEO-Friendly URL Structures

Part Three: Understanding and Implementing URL Redirects

Part Four: Troubleshooting Common URL Issues

 If you've ever clicked on a link and, to your surprise, it takes you to a different page than you were expecting, then you've experienced a URL redirect at work. But why do they exist and what exactly is their role in SEO? Let's take a look at this type of URL function and how to use it most effectively.

Defining URL redirects 

URL redirects send both users and search engines to a different URL than the one they originally sought.

 The primary purpose of a URL redirect is to connect one URL with another. This means that when anyone types in or clicks on the original URL (or a link leading to it), they are automatically taken to a different URL in their web browser.

 There are several uses for and benefits from URL redirects. For example, with a site migration, you want to keep all the existing traction and site traffic you have. Redirects help you to maintain that traffic by sending readers to useful, relevant content. But we'll get into all the reasons you might need a URL redirect below.

What are the different kinds of URL redirects?

Let's look at the five most common types of URL redirects and their functions.

  • 301 redirect. Known as a permanent redirect, it passes between 90-99% of link equity (ranking power) to the redirected page from the original. It's used when a page has been moved permanently.
  • 302 redirect. This is a temporary redirect and does not pass on link equity. It's used when a page is temporarily moved or when you want to test a new page for user feedback but don’t intend to make the move permanent.
  • 307 redirect. Similar to a 302, it's also used for temporary redirection. The key difference is that it ensures that the method of the original request is reused in the new request.
  • 308 redirect. This is a permanent redirect similar to a 301, but maintains the method of the original request in the new request.
  • Meta refresh. This is a type of redirect executed on the page level rather than the server level. Meta refreshes are slower and not recommended for SEO purposes.

Importance of URL redirects

Correct and strategic use of redirects is a key tool for search engine optimization. Incorrect implementation can lead to traffic loss, because search engines might not properly index the new page. This list isn't exhaustive, but it shows some of the more common situations that require URL redirects:

  • Website or page migration. When moving a site to a new domain or changing the URL structure, redirects make sure users and search engines are directed to the correct pages. In case of merging two websites or domains, redirects are used to guide visitors from the old URLs to the appropriate content on the new combined site.
  • Handling broken links. To prevent a poor user experience or a negative SEO impact from broken links, redirects can be used to lead users from outdated or non-existent URLs to relevant, active pages.
  • Temporary content relocation. Redirects are useful for temporary situations, like website maintenance or A/B testing, where the original content needs to be temporarily moved or replaced.
  • Canonicalization of URLs. When multiple URLs lead to the same content (e.g., due to www and non-www versions, or http and https versions), redirects can be used to guide all traffic to a single, canonical URL.
  • Product or service updates. If a product or service is discontinued or updated, redirects can guide users from old product pages to the newest versions or related products. It can also help transition between marketing campaigns.
  • Changing CMS platforms. When moving a website from one content management system to another, bringing a structural URL change, redirects would be necessary.

How to create a URL redirect

Identify the URL to redirect

Determine the old URL you want to redirect from and the new URL you want to redirect to.

Choose the type of redirect

Decide whether you need a 301 (permanent) or 302 (temporary) redirect based on the purpose of the redirect.

Access your web server or hosting control panel

  • For Apache servers, access the .htaccess file.
  • For Nginx servers, access the server configuration file.
  • If you're using a content management system (CMS) like WordPress, access the redirect functionality (often available through plugins).

Write the redirect rule

For .htaccess on Apache:

Redirect 301 /old-url http://www.yourdomain.com/new-url

For Nginx:server { ... rewrite ^/old-url$ http://www.yourdomain.com/new-url permanent; ... }

For a CMS like WordPress, use the plugin interface to set the old and new URLs.

Test the redirect

After implementing the redirect, test it by visiting the old URL to make sure it correctly redirects to the new URL.

Monitor for errors

Check for broken links or redirect loops, and monitor your website's traffic and search engine rankings to see if the redirect is functioning as intended.

Impact of URL redirects on SEO 

URL redirects significantly impact technical SEO. They influence how search engines index and pass link equity (also known as "link juice") to pages. A well-implemented 301 redirect effectively transfers the majority of the ranking power to the new URL, preserving the SEO value of the original page.

URL Redirect Best Practices

Avoid redirect chains

Try to avoid long chains of redirects (where one redirected URL leads to another, etc.). These can slow down page load times and dilute SEO value. Instead, aim to redirect directly from the original URL to the final destination.

Limit the use of redirects

While redirects are useful, if you use them excessively, it'll slow down your site and create complexity. Use them only when necessary.

Also, you should only use 302 redirects for temporary needs. Remember that these don't pass on as much SEO value as 301 redirects. Using them improperly can lead to SEO issues such as diluted link equity and confusion for search engine crawlers.

Regularly check and update redirects

Over time, some redirects may become obsolete or broken. Regular audits of your redirects can help identify and fix such issues, and make sure they remain effective and relevant.

Avoid redirect loops

Don't let your redirects inadvertently create loops. This is when a URL redirects back to itself, either directly or through a series of redirects. This can create accessibility and navigation issues for both users and search engines.

Update internal links

When you implement a redirect from an old page to a new one, update internal links throughout your site that point to the old page. This improves load times and user experience.

Communicate with search engines

When you move your site or make significant changes, inform search engines through tools like Google Search Console. This can help speed up the reindexing process.

Use canonical tags appropriately

Alongside redirects, use canonical tags to signal to search engines which version of a URL you want to appear in search results, especially if duplicate content issues are present.

Document your redirects

Keep a record of all redirects, including their purpose and implementation date. This documentation can be invaluable for troubleshooting and maintaining your site's architecture.

Use URLs to boost your SEO power

The power of URLs in the realm of SEO is often underestimated. URLs are far more than mere web addresses — they're critical tools in:

Ready to keep learning about how to strategically craft and implement URLs on your site? In the final installment of our four-part series, we'll cover how to troubleshoot common SEO issues like broken links and duplicate content.

URL Structure|Best Practices for SEO-friendly URLs

Understanding the Importance of SEO-Friendly URLs

By Jayne Schultheis - This is the second part in our 4-part series on URLs and their relationship with search engine optimization. In this section, we'll look at how the URL structure is an important part of a broader SEO strategy.

Why do URLs matter?

URLs are your website's chance to make a good first impression on Google and other search engines. They give readers an insight into the value of your site and whether its contents will matter to them.

A URL is the address, or name, by which search engines and readers find your site and all it holds. Well-structured URLs with keywords used properly can significantly enhance a page's visibility and ranking in search results. SEO-friendly URLs can boost your site's click-through rates and engender trust in readers.

URLs are considered a minor ranking factor for Google. In general, SEO-friendly URLs help your site provide a positive user experience.

The basics of URL structure

URLs, or Uniform Resource Locators, serve as the web addresses for specific pages on the internet, guiding both users and search engines to the desired content. A well-structured URL typically includes a protocol (like HTTP or HTTPS), a domain name, and often a path that specifies the exact page or resource.

Static URLs vs. dynamic URLs

Static URLs and dynamic URLs represent two different approaches to web address structuring. Static URLs are fixed. There is only one path — one static URL — that will take you to each page on a site. Ideally, they're straightforward and easy to read, with a clear structure containing relevant keywords. This makes it easy for readers and search engines to find the content.

In contrast, some sites — particularly shopping sites — generate dynamic URLs that can take users to the same page through different paths. For example, shopping sites that allow users to select different filters to zero in on a product — color, size, price — use dynamic URLs. The dynamic URLs use different parameters and query strings to get users where they want to go.

While static URLs are generally preferred for SEO purposes due to their simplicity and stability, dynamic URLs are more flexible and can be beneficial for complex websites with constantly changing content.

Best practices for creating SEO-friendly URLs

Using keywords in URLs helps search engines quickly assess the content of the page. If you create a blog article on a particular focus keyword, use that focus keyword in the URL. After all, you want to rank first, or at least on the first page of organic results, in Google searches for that focus keyword. Tell Google that this article is relevant by putting the focus keyword in the URL — www.example.com/blog/focus-keyword. For users, a URL with clear and relevant keywords provides an immediate understanding of the webpage content. When usability and trust are secured, visitors are more likely to click or share the link.

Use lowercase letters and hyphens

Lowercase letters in URLs ensure consistency and avoid confusion, as URLs are case-sensitive in some servers. Hyphens, on the other hand, are favored over underscores or spaces, because they more clearly separate words. These make URLs easier to read for both users and search engines.

Avoid special characters and parameters

Special characters, like ampersands, percentage signs, and question marks, can create confusion for search engines and users. They often lead to crawling issues or misinterpretation of the URL's content.

Parameters, especially when used excessively, can result in overly complex and lengthy URLs. This can diminish their readability and effectiveness in search engine rankings, making it best practice to keep URLs clean and straightforward.

Also, try to avoid using dates in URLs for evergreen content. This prevents it from seeming outdated.

The impact of URL length on SEO

Shorter URLs are generally preferred by search engines. They're easier for users to read and remember, too. Remember, while brevity is important, it's also crucial to maintain descriptive clarity. The URL should effectively communicate the content of the page without being overly lengthy or complex.

The importance of a clean URL structure

A clean URL structure aids search engines in understanding and indexing a website's content more efficiently. It also enhances user experience by providing clear, intuitive, and easily navigable web addresses. Maintain a straightforward, keyword-relevant, and hierarchically logical structure. Users should be able to easily understand and predict the content of the page just from the URL. Clean URLs with user-friendly paths are also much more likely to be shared and linked back to.

Canonical URLs and their SEO benefits

When a site has duplicate content, a canonical URL is used to signal to Google which one to serve up in search page results. The URL contains a canonical HTML tag that tells search engines which URL version of a page should be considered the preferred version. This is important when there are multiple versions of a page that all have the same content but are accessible at different URLs. Using a canonical tag prevents the content of the page from being treated as duplicate content and diluting the search rankings across multiple similar pages.

Canonical URLs also help consolidate link equity and make sure that the search engine's focus and indexing power are concentrated on the most relevant and authoritative page.

How Google interprets SEO-friendly URLs

Google interprets SEO-friendly URLs as a important factor in understanding the content and structure of a website. These URLs aid Google's algorithms in efficiently indexing web pages and determining their relevance to search queries. This understanding plays a significant role in how Google ranks pages in search results, with clearer and more relevant URLs often receiving higher visibility and better search ranking positions.

URL examples

Now that we've looked at all the ways you can build a great URL, let's look at how a poorly structured URL compares to one that's well-structured.

Example of a URL with Poor SEO

http://www.example.com/products/item1?ref=349&type=2&session=9h4k

This URL is not SEO-friendly because it's vague, uses a series of unclear parameters (like ref, type, session), and doesn't include any descriptive keywords to indicate the content of the page.

Example of a URL with good SEO

http://www.example.com/outdoor-gear/trail-runners/mountain-explorer-3000

This URL is SEO-friendly as it clearly describes the content using relevant keywords (outdoor-gear, trail-runners, mountain-explorer-3000). It's structured hierarchically, making it easy for both users and search engines to understand the context and relation of the page to other content on the website.

Find out more about URLs

Wondering how to choose the best-possible URLs for your website? Check out the other installments in our 4-part series:

Creating SEO-friendly URL structures

We'll go into detail about best practices for structuring URLs, including the use of keywords, readability, and the avoidance of special characters and URL parameters when possible.

Understanding and implementing URL redirects

We'll explain different types of redirects (301, 302, etc.), their purposes, and best practices for preserving SEO value during website changes.

Troubleshooting common URL issues

The final piece in our series will cover frequent URL-related problems such as broken links or duplicate content issues. We'll also look at how to fix them to prevent SEO penalties.

Use URLs to Boost Your SEO Power

The power of URLs in the realm of SEO is undeniable and often underestimated. As we've explored, URLs are far more than mere web addresses — they're critical tools in:

  • Structuring a site
  • Enhancing user experience
  • Guiding search engine indexing
  • Bolstering page authority

Their role in SEO extends from the straightforwardness of site navigation to the complexities of link equity and keyword optimization. Anyone keen on mastering SEO must give URLs the attention they deserve. Stay tuned as we continue to unlock the hidden power of URLs.

Harness the power of URLs in SEO|The Role of URLs in SEO

Unlocking the Power of URLs in SEO: An Introduction

By Nora Firestone - In this first part of our 4-part series on URLs, we'll give you a broad overview of the role URLs play in your SEO strategy.

What are URLs?

People have been talking about URLs since the advent of the internet (some of us even remember that). But do you know what URL stands for and how they work?

URL is an acronym for Uniform Resource Locator. It's a specific address used to access resources on the internet, such as websites. It provides a way to retrieve a resource from a web server. The basic structure is:

The role of URLs in SEO

URLs are crucial for search engine optimization (SEO) because they serve as more than mere web addresses. They're essential tools that search engines use to rank and index content. When created and maintained properly, they help search engines understand the relevance and structure of the content. Well-structured URLs with keywords can significantly enhance a page's visibility and ranking in search results.

Signal of relevance

Search engines like Google use URLs to decipher the content and relevance of a web page. They look for clear, descriptive, and keyword-rich URLs. So, for example, if you are creating a website for a shoe store in Pittsburgh, you would be better served by a domain name like "pittsburghshoes.com" rather than "thesoleprovider.com."

A well-structured URL not only informs search engines about the page's main topic but also helps in its categorization and indexing, thereby improving the page's visibility in search results. This relevance extends to the URL's structure, which delineates the content's hierarchy and connection with other pages on the same site, allowing search engines to build a comprehensive understanding of the site's overall content and its pertinence to specific search queries.

User experience

Clear and descriptive URLs give users an intuitive understanding of what to expect before they even click on a link. This transparency not only builds user trust but also improves navigation, as users can easily remember and manually enter such URLs. Aim for short, snappy and relevant. For example, there's no need to include the good old "www" at the beginning of a URL.

Good user experience (UX), in turn, is a crucial factor in SEO. Search engines like Google prioritize websites that offer a positive user experience. Websites with user-friendly URLs tend to have lower bounce rates and higher engagement rates, as users are more likely to stay and explore when they find the site easy to navigate and understand. These user behavior metrics are taken into account by search engines, contributing to better search rankings for websites that excel in providing a superior user experience.

Navigation and structure

URLs should be structured to represent site architecture. They effectively mirror the organizational structure of a website. By using a logical hierarchy in their URLs, websites can delineate the relationship between main pages and subpages. This helps search engines and users understand the layout and content grouping. This structured approach not only makes navigation more intuitive but also helps distribute page authority throughout the site.

Breadcrumb navigation

Breadcrumb navigation is a tool that helps users and crawlers understand a site's structure and easily find what they are looking for. It's named for the breadcrumbs that Hansel and Gretel left in the forest as a trail for retracing their steps. Breadcrumb navigation places a list (usually near the top of a web page) that shows the steps between that page and the site's home page.

For example, a merchant's website might have a main navigation bar across the top to show the major categories the site covers. If you are on a page for a particular type of woman's shoe, the breadcrumb under the main bar might say: Home > Shoes > Women's > Recreation > "Name of shoe (current page)." A user could click on any of those items to return to that part of the site.

It mirrors the URL structure of a website, providing a clear, hierarchical representation of the site's organization. The breadcrumb trail often corresponds to the URL, reflecting the path taken to arrive at the current page. The URL for our example would be pittsburghshoes.com/shoes/women's/recreation/platform-sneakers/. The integration of breadcrumb navigation with URL structure helps users and keeps them on the website.

At the same time, it can provide SEO benefits through clearer site hierarchy, keyword alignment, and effective internal linking. Google uses this to assess your content and may show the breadcrumbs in its search results.

Tracking and analytics

URLs can be strategically structured to help track the performance of online marketing campaigns by incorporating tracking parameters, known as UTM (Urchin Tracking Module) codes. These parameters, added to the end of a URL, help marketers track the source, medium, campaign, term and/or content that brought someone to the website.

By analyzing this data, marketers can precisely measure the effectiveness of their campaigns, such as email marketing, social media, or paid advertising. This helps them understand user behavior, campaign performance, and return on investment (ROI). Then, they can make data-driven decisions and fine-tune their marketing strategies for better outcomes.

The evolution of URLs and SEO

As search engine algorithms have evolved, the role of URLs in SEO has become more sophisticated. Initially, URLs were seen only as a way to locate a website or page. However, modern search engines now scan URLs for keyword relevance, structural clarity, and user-friendliness. In fact, URLs are a minor ranking factor for Google.

Algorithm updates have also made it more important for URLs to be clear, descriptive, and reflective of the page content. These updates have also diminished the impact of keyword stuffing in URLs. They shift the focus toward creating more natural and informative URLs.

Importance of consistency and standardization

Maintaining a consistent URL structure is crucial when updating or redesigning a website because it preserves link equity (or link juice) and search engine rankings. Changing URLs can lead to broken links and lost backlinks, which are vital for SEO. Links signal to search engines the credibility and authority of a website.

Consistency in URLs ensures that you retain your existing equity and ranking. Users and search engines can access the site without encountering errors or redirects, thereby maintaining the site's SEO strength. We'll expand on this further in "Creating SEO-Friendly URL Structures."

Overview of the upcoming articles

We're producing a 4-part series that takes a deeper look at the connection between URLs and SEO, and how to best implement a strategy. Stay tuned for the next installments:

Creating SEO-Friendly URL Structures

We'll go into detail about best practices for structuring URLs, including the use of keywords, readability, and the avoidance of special characters and URL parameters when possible.

Understanding and Implementing URL Redirects

We'll explain different types of redirects (301, 302, etc.), their purposes, and best practices for preserving SEO value during website changes.

Troubleshooting Common URL Issues

The final piece in our series will cover frequent URL-related problems such as broken links or duplicate content issues. We'll also look at how to fix them to prevent SEO penalties.

Use URLs to Boost Your SEO Power

The power of URLs in the realm of SEO is undeniable and often underestimated. As we've explored, URLs are far more than mere web addresses — they're critical tools in:

  • Structuring a site
  • Enhancing user experience
  • Guiding search engine indexing
  • Bolstering page authority