Rellify's Blog

By Jayne Schultheis

If you've ever checked your search engine rankings and started panicking due to an unexpected dip in your content's performance, you're in the right place. We're going to explore the reasons this happens, and give helpful tips for getting your content back to its peak performance.

‍

Let's start with some SEO basics that affect your content's performance and, if not handled well, cause ranking drops.

Understanding SEO fundamentals

Search engine optimization (SEO) is the practice of improving a website's visibility and ranking on search engine results pages (SERP). This is accomplished through techniques like keyword optimization, proper content creation, and technical improvements to websites and individual pages. The goal is to attract organic traffic by making the website more relevant and authoritative in the eyes of search engines and users. Here's a look at some important types of SEO.

On-page SEO

On-page SEO refers to the optimization of individual web pages to improve their search engine rankings and attract more relevant traffic. It involves elements like content quality, keyword usage, meta tags, and internal linking. Its effectiveness can be measured through metrics such as keyword rankings, organic traffic, bounce rates, and page speed, that indicate how well the optimized pages are performing in search engine results and user engagement.

‍

On-page SEO must be in the bones of your content production.

‍

‍

Off-page SEO

Off-page SEO involves factors outside of the website itself that affect its search engine rankings. It primarily focuses on building high-quality backlinks from other reputable sites, social media marketing, and online brand mentions. The effectiveness of off-page SEO can be measured through metrics like link building, domain authority, referral traffic, and social signals, which collectively indicate the website's credibility and popularity on the internet.

Local SEO

Local SEO is part of off-page SEO. It focuses on search results for location-specific queries, helping businesses attract customers from their geographic area. It involves strategies like optimizing Google My Business listings, using local keywords, and acquiring customer reviews. How do you measure the effectiveness of local SEO? Through metrics such as local search rankings, online reviews and ratings, local citation volume, and the amount of traffic from local searches.

Technical SEO

Technical SEO refers to the optimization of a website's infrastructure to enable search engines to crawl and index it effectively, boosting overall performance and user experience. Key elements include:

‍

• Configuring the robots.txt file to guide search engine bots
• Creating and submitting an XML sitemap to outline the website's structure
• Implementing canonical tags to avoid duplicate content issues

‍

The success of technical SEO can be measured through improved crawlability, faster page load times, and enhanced search engine indexing efficiency.

Mobile SEO

In this subset of SEO, you set up your site to rank for searches on mobile devices and to provide a great user experience. It's hard to overstate the importance of mobile website design, because Google uses mobile-first indexing. The mobile version of your site is what counts for SERP. A key element in mobile optimization is using responsive web design (RWD) so your pages adjust to the size of the display window.

What caused my ranking drop?

Don't panic! There are plenty of reasons that content droops in the rankings. Some might be an oversight on your part, but the factors may be out of your control. Either way, you can solve the puzzle.

Your competitors are outpacing you

One significant factor that leads to a ranking drop in SEO is the efforts of your competition. They, too, are launching new pages, updating content, and producing fresh content. When competitors optimize their websites with high-quality, relevant, and engaging content, search engines may re-evaluate and rank these newer pages over yours.

‍

If your website fails to keep pace, you might see a drop in search engine rankings. In content marketing, you are either gaining ground or losing it. Standing pat means your content becomes comparatively outdated and less relevant to user queries.

Search engines have updated

Google and other search engines update their algorithms periodically to make sure users get the most relevant and useful information. As digital marketers know all too well, a core update by Google can damage SERP rankings. Google adjusts how bots evaluate and rank websites based on things like content relevance, site speed, and backlinks. Even websites that are well-optimized can see lower search rankings if they don't meet the updated standards.

‍

It's not just the search engine algorithms that change. Google regularly changes its format and SERP layout. For example, it has been exploring how generative content will be integrated into results and featured snippets. Such changes can affect your visibility, perhaps by giving more space to Google "rich results" like images, rating stars, featured snippets, and knowledge panels.

‍

Online marketers must stay up-to-date with these changes and react if they coincide with changes in web traffic KPIs.

Broken links

Broken links disrupt the user experience and prevent search engine crawlers from accessing and indexing site content effectively. These dead links can lead to higher bounce rates and reduce a website's credibility. They signal to search engines that the site is poorly maintained, and search engines prioritize websites with seamless navigation and functional links.

Your product team is making changes

Changes made by the product team, such as a new product release, could inadvertently affect SERP rankings. Such changes might disrupt key elements like site structure, SEO-friendly URL patterns, and on-page content. They also could create broken links or modify previously optimized content, leading to decreased crawlability and relevance in search engines. If your rankings drop after updates and similar events, check for unintended SEO changes.

On-page oversights

Sometimes, nitty-gritty details get overlooked in your content production. For example, pages are pushed out with a "noindex" tag, which tells search engines not to index these pages. Of course, that leads to reduced visibility in search results. Heavy use of JavaScript can impede search engine bots from effectively reading and indexing pages, as not all bots can process JavaScript well. Also, changes in internal linking can disrupt the site's structure and navigation. It causes search engines to misinterpret the website's hierarchy, reducing the effectiveness of internal link signals and hurting rankings.

How do I fix a drop in rankings?

We're so glad you asked, because this is Rellify's bread and butter! It's hard to keep up with all the problems that can plague a website's performance, but Rellify's experts specialize in SEO audits. As content optimization experts, we're able to quickly assess your web content and content marketing efforts. We can identify exactly where pain points are, and how to best address them.

‍

We can generate for clients a Relliverse™, a custom-AI subject-matter expert trained on their relevant focus topics. With that, we show you how to choose the best topics to write about. You can create relevant content at scale and fully leverage generative AI faster than ever before.

‍

If the rankings for that content ever slips, our monitoring will alert you. Check the top rankings for the search terms that you used to rank higher on. What is your competition doing with that content that you aren't? Are you missing important information? Is something out of date? Our AI-powered platform will guide you to update your content effectively. Our R-Score grades the effectiveness of each article and gives detailed instructions on how to improve readability and SEO.

‍

Within the Rellify platform itself, you can monitor insights imported from Google Search Console and Google Analytics for each article and your entire domain. You don't need a mishmash of outside tools. Rellify gives you the power to analyze your site and the individual pages, pointing out issues like duplications, missing redirects, broken links, missing ALT tags, and much more.

‍

We can give you the keys to Rellify so you can do this all yourself. However, finding the root cause of ranking drops can be a highly-technical puzzle. It's not necessarily cut and dry. Rellify's experts know how to analyze the insights from our SEO tools, and we can address Google ranking drops and employ conversion rate optimization for you.

Rellify knows what to do!

We know that a drop in SERP rankings can be a setback when you're trying to reach potential readers and customers. Fortunately, Rellify has all the tools, knowledge, and resources you need to conduct a full-scale content audit and re-vamp content.

‍

No more guessing. No more headaches. Just informed choices. Unlike Chat GPT and similar models that excel in general tasks, our Relliverse™ is a specialized language model meticulously crafted to address your unique content strategy needs.

‍

Create content that's relevant, optimized, and ready to be found by the right people. And never miss an opportunity to improve your content. Ready to see how Rellify is different? Schedule a free consultation and demo today to find out exactly how your company could benefit from our custom, AI-powered content solution.

‍

‍

By Jayne Schultheis - The process of distilling the key points or main ideas from a piece of text while preserving its essence is called text summarization. Children learn how to do it in elementary school; it's a key part of reading comprehension. Through artificial intelligence (AI), computers can manage the task as well.

‍

Text summarization algorithms condense longer documents or segments of text into shorter versions, usually by identifying important sentences or passages and presenting them coherently and concisely. The summaries help users to quickly understand the content of a document.

‍

Text summarization with AI is having a major impact in many business sectors, including content marketing. In this article, we'll focus on how this new capability is helping marketers streamline the content creation process.

How does AI use text summarization technology?

The main branches of AI used for summarization techniques and approaches are natural language processing (NLP), natural language generation (NLG), and natural language understanding (NLU). Let's look at some different forms of automatic summarization.

Extractive summarization

NLP tools like GPT and Google's BERT use this method of text processing. After data preprocessing, extractive summarization methods select and extract important sentences or phrases directly from the input text without generating new sentences.

‍

‍TF-IDF (Term Frequency-Inverse Document Frequency) is commonly used as part of extractive summarization. TF-IDF is a measure of the importance of a word in a document relative to a collection of documents or pages. It is commonly used in information retrieval and text mining to identify the relevance of a word to a document.

‍

‍Real-world example: In a news article about a recent event, an extractive summarization algorithm might identify the sentences containing the most frequently occurring keywords or phrases and select them for a summary.

Abstractive summarization

Abstractive summarization methods generate a summary by interpreting and rephrasing the content of the input text in a more concise form.

‍

This approach involves understanding the meaning of the text and generating novel sentences to convey the summarized information.

‍

‍Real-world example: An abstractive summarization model might read a product review and generate a summary that captures the sentiments and key aspects of the review in new, condensed sentences.

‍

‍

Query-based summarization

Query-based summarization, or summary generation, is based on specific user queries or questions, combining elements of NLP and NLU.

‍

NLU involves analyzing and interpreting text to comprehend its meaning and extract relevant information. This is achieved through techniques like tokenization, parsing, named entity recognition, semantic analysis, and sentiment analysis.An NLU model learns to understand the context and relationships between words and phrases in text, as well as the overall meaning of the content. Query-based summarization can be done using extractive or abstractive summarization models.

‍

‍Real-world example: A query-based summarization system might analyze a medical research paper and generate a summary focused on answering a specific medical question posed by a user.

Multi-document summarization

Sometimes, you might have a lot of info in a lot of different places that all need to be scanned and summarized.

‍

Multi-document summarization assesses multiple documents on a given topic. AI systems use techniques such as clustering, topic modeling, and information fusion to identify common themes and extract key information from multiple sources.

‍

‍Real-world example: A news aggregation platform that collects sports articles gives users with a concise summary of each one so they can get a quick overview of the sports world.

How does machine learning improve text summarization?

Machine learning significantly improves text summarization in many ways. Here are three important ones:

‍

• Sequence-to-sequence models. Sequence-to-sequence models, particularly transformer-based architectures like BERT and GPT, have revolutionized text summarization by allowing models to generate summaries of different lengths directly from input text. These models can capture complex relationships and dependencies in text, which means high-quality summaries.
• Attention mechanisms. Attention mechanisms allow models to focus on relevant parts of the input text when generating summaries. Models equipped with attention mechanisms can better capture important information and produce coherent and relevant summaries with contextual understanding.
• Data-driven approaches. Machine learning models are trained on diverse, big datasets. Data-driven approaches allow models to learn patterns and relationships in the data, leading to improved performance in text summarization tasks. By training on relevant datasets, models can better understand the nuances of language and generate more accurate summaries.

‍

How text summarization with AI can boost your content marketing efforts

Content marketing strives to be relevant and to make its points quickly. Automatic summarization makes it easier to achieve both goals. Here are some ways that content marketers are using text summarization.

Streamlined content consumption

By providing concise summaries of your content, AI-powered text summarization helps readers to quickly grasp the main points and key takeaways without having to read the entire article or document. This improves content consumption rates and enhances the overall user experience.

Increased engagement

Summarized content is more likely to capture the attention of busy readerswho may not have the time to read lengthy articles. By delivering the most important information upfront, AI-generated summaries can increase engagement and encourage users to go deeper into your content and stay on your site longer.

Enhanced SEO

Search engines value content that is relevant, informative, and easy to digest. By incorporating AI-generated summaries into your content marketing strategy, you can improve the readability and relevance of your content, leading to better search engine rankings and increased organic traffic. We'll talk more later about how text summarization connects to the process of topic ideation and keyword extraction within Rellify, thereby enhancing your SEO.

Efficient content curation

Content marketers often curate content from various sources to create comprehensive resources for their audience. AI-driven summarization tools can automate the process of summarizing and synthesizing content from multiple sources, saving time and effort in content curation.

Scalability

As your content marketing efforts grow, AI-powered text summarization can help you scale your content production and distribution efforts. Using automated summarization, you can generate summaries for a large volume of content quickly and efficiently. You'll be able to reach a broader audience.

How we do text summarization with AI at Rellify

Most of the text summarization methods we mentioned above are employed both within Rellify's content platform and in the Relliverse™ we can create for a client.

‍

A Relliverse™ is a custom AI subject-matter expert that identifies your best content opportunities. We employ deep machine learning to crawl the websites of top competitors in your industry or niche, as well as your own and related sites. We analyze that data to find patterns in keywords or topics that are already ranking high on search engines, or that are not being addressed by your competition. This kind of topic modeling is an example of extractive summarization.

‍

‍Rellify then uses semantic analysis to build meaningful connections and categorization between and within these topics, much like neural networks. The most meaningful and impactful topics and keywords are aggregated and presented to you, ready to be strategically used in content in ways that will boost your SEO.

‍

In the Rellify platform, you have lots of opportunities to use text summarization with AI. When you build a brief, Rellify's AI capabilities use abstractive text summarization to categorize keywords and place them most effectively into an outline.

‍

When you start creating content, Rellify's generative AI capabilities are ready to help. You can use it to generate an entire blog article, a high-quality summary of an article, or a meta description. You are in the driver's seat of content management as the editor. AI is merely at your disposal every step of the way.

‍

Wondering about the Rellify platform and how a custom Relliverse can boost your content marketing ROI with significantly less effort? Contact a Rellify expert and get a demo of the platform and a custom Relliverse today!

‍

‍

‍

By Jayne Schultheis

‍

‍"Hello! How can I help you today?

‍

"Nearly all of us have had a conversational AI chat experience recently, whether we realize it or not. Conversational artificial intelligence has revolutionized how we interact with our world, especially in how we do business. According to one survey, 88% of consumers spoke with a chatbot in some capacity in 2022, and their sentiment towards the technology was overwhelmingly positive. Who would have thought that in such a short time, technology would have swiftly become our everyday personal assistant, much like an episode of The Jetsons (sans apron-clad robot)?

‍

As AI continues to proliferate at lightning speed, some of the most significant innovations continue to be in the realm of conversational AI. We'll get into the details of this specific kind of artificial intelligence, the ways it's being used, and how it will continue to enrich our world and businesses.

What is Conversational AI?

Conversational AI refers to the use of artificial intelligence (AI) to enable natural language interactions between humans and machines. It covers a range of techniques and capabilities that allow computers to understand, interpret, and generate human language in a way that mimics natural conversation between humans.

‍

Conversational AI systems leverage various components, including:

1. Natural language understanding (NLU). This component enables computers to comprehend and interpret the meaning of human language inputs. NLU techniques extract important information from user queries, such as intent, entities, and context.
2. Natural language generation (NLG). NLG focuses on generating human-like responses or outputs based on the input received from users. NLG techniques can generate text, speech, or other forms of communication that are understandable and relevant to the user.
3. Dialog management. Dialog management involves managing the flow of conversation between the user and the AI system. It determines how the system responds to user inputs based on the current context of the conversation, past interactions, and predefined dialog policies.
4. Speech recognition. When the interaction involves spoken language, conversational AI systems use speech recognition technology to transcribe spoken words into text that can be processed by the system.
5. Machine learning. Many conversational AI systems use machine learning techniques to improve their performance over time. Machine learning algorithms learn from data, user interactions, and feedback to enhance language understanding, dialog management, and response generation.

‍

‍

The evolution from simple chatbots to conversational AI

Natural language processing technologies have made major advancements. Initially, the interface for simple chatbot conversations relied on coding with predefined rules and patterns to provide basic responses to user queries or prompts within a narrow domain. These early chatbots lacked sophistication and struggled to understand nuanced language or engage in meaningful chat. When it came to a chatbot experience, usability was unpredictable at best.

‍

However, with the advent of machine learning techniques and the availability of large datasets, the capabilities of chatbots began to improve. Machine learning algorithms allowed chatbots to learn from data and user interactions. This gradually enhanced their language understanding and response generation capabilities.

‍

The emergence of conversational AI chatbots represented a paradigm shift in human-computer interaction. Conversational AI systems leverage advanced natural language processing (NLP) techniques, including NLU and NLG. These enabled more interactive and human-like conversations. Systems like these can understand user intent, context, and nuances of language, allowing for more engaging and personalized interactions. They're truly an innovation like no other.

‍

Additionally, conversational AI integrates dialog management capabilities to manage the flow of conversation and adapt responses based on the context of the interaction. Through continuous learning and adaptation, conversational AI has transformed the way users interact with technology.

Chatbot vs. conversational AI: what's the difference?

Chatbots are a specific type of conversational AI focused on simulating text-based conversations for specific tasks or purposes. In contrast, conversational AI encompasses a broader range of technologies and capabilities that enable more natural and intelligent interactions between humans and machines across diverse applications. All chatbots are a type of conversational AI, but not all conversational AI are chatbots.

NLP vs. conversational AI: What's the difference?

NLP and conversational AI are related fields but have distinct focuses and applications. To put it simply, NLP focuses on the processing and analysis of human language in various forms. Conversational AI extends this by:

‍

• Enabling interactive and engaging conversations between users and machines.
• Leveraging NLP techniques along with other capabilities to simulate natural conversation and enhance communication experiences.

What do you use AI chatbots for?

While many of us think of the innovations that ChatGPT has brought to the table, you'll find opportunities to use an AI chatbot everywhere. Conversational AI finds applications across lots of different domains — aiming to provide users with engaging, efficient, and personalized interactions.

Virtual assistants

Companies like Amazon, Google, and Apple have developed virtual AI assistants such as Amazon Alexa, Google Assistant, and Apple Siri, respectively. These virtual assistants use conversational AI to understand user commands and queries. They're also able to perform tasks such as setting reminders, playing music, providing weather updates, and controlling smart home devices.

Customer service chatbots

You've probably visited a website and noticed a notification and dialogue chatbox that automatically pops up in the corner of your screen. Many businesses deploy chatbot technology on their websites or messaging platforms to communicate with customers, providing support and assistance. These chatbots use conversational AI to engage with users, reply to frequently asked questions, troubleshoot issues, and guide users through the customer service process.

Voice-enabled devices and applications

Voice-enabled devices and applications leverage conversational AI to enable hands-free interaction. For example, voice-controlled smart speakers like Amazon Echo and Google Home allow users to perform tasks such as making calls, ordering groceries, and booking appointments using voice commands.

Healthcare assistants

Conversational AI is being used in healthcare to provide virtual health assistants and telemedicine services. Patients can use conversational AI platforms to schedule appointments, receive basic medical advice, and manage medication reminders. This is a huge advancement in improving access to basic healthcare services.

Educational chatbots

Some educational institutions are deploying chatbots to provide personalized learning experiences and support services to students. These chatbots assist students with course enrollment, assignment submissions, academic advising, and career guidance, improving student engagement and retention rates.

Financial services

Banks and financial institutions use conversational AI to offer virtual banking assistants and personalized financial advice. These virtual assistants help customers with account inquiries, transaction history, budgeting tips, and investment recommendations, providing convenient and accessible banking services.

Trends and innovations: What's next for conversational AI?

The future of conversational AI holds immense potential for personalization and automation. It's set to revolutionize the way individuals interact with technology and businesses. As conversational AI continues to evolve, it will become increasingly adept at understanding user preferences, behaviors, and contexts. More and more we'll see highly personalized interactions tailored to individual needs and preferences.

‍

Through advanced machine learning algorithms and data analytics, conversational AI systems will be able to:

‍

• Anticipate user intents.
• Deliver relevant content and recommendations.
• Adapt responses in real-time
• Provide more intuitive experiences

‍

Automation will also improve efficiency across various domains, including customer service, healthcare, education, and commerce. By automating repetitive tasks and routine interactions, conversational AI will free up human resources to focus on more complex and value-added activities.

The rise of metabots: The AI managers of the future

"Metabots" refer to a concept in the realm of conversational AI, particularly in the context of chatbots and virtual assistants. Metabots are essentially chatbots that specialize in managing other chatbots or conversational agents. They act as meta-level assistants and communicators, coordinating and orchestrating collaboration between different chatbots to accomplish more complex tasks or workflows.

‍

The idea behind metabots is to create a hierarchy or network of chatbots that can delegate tasks among themselves to achieve a common goal. For example, in a customer service scenario, a metabot could coordinate multiple specialized chatbots responsible for handling different aspects of customer inquiries. It could manage subsets of bots for billing, technical support, and product information.

‍

Metabots can enhance the scalability and flexibility of conversational AI systems. They facilitate the integration of specialized chatbots developed by different teams or vendors. This allows organizations to build comprehensive conversational AI solutions that can adapt to their evolving business requirements.

How Rellify Uses AI to Get You Results

While Rellify is focused on more functional rather than conversational integration of AI, we're constantly looking for ways to further improve our customers' experience. Rellify employs similar mechanisms as conversational AI. We use NLU and machine learning to quickly crawl large volumes of data to help clients find niche topics and keywords that will naturally rank better on search engines and attract targeted traffic, leads, and customers.

‍

With a custom Relliverse™, your company can powerfully harness customized AI to maximize your ROI. Interested in a free demo that can show you exactly how easy and powerful content creation can be within the Rellify platform? Contact a Rellify expert today!

‍

‍

The days of tedious keyword research and SEO optimization are coming to an end. AI-based solutions are changing the market for the better. Innovative services are implementing AI in SEO, offering greatly increased relevance and visibility. Let's look at the ways AI has revolutionized the way that marketers do SEO and explain how you can use it in your content marketing efforts.

Welcome to The Age of AI in SEO

AI, or artificial intelligence, encompasses many forms of computations, learning models, research, and analysis, all performed by computer systems.

‍

Many of us have already seen the capabilities of generative AI. You may be familiar with writing produced by ChatGPT, SORA-generated videos, and chatbots offering AI assistance. In the field of search engine optimization (SEO), AI technology presents many significant possibilities.

‍

According to Forbes, 35% of companies were using AI for content creation in 2023. And this use of AI is becoming more and more appealing as companies look for ways to free up their teams for other tasks. Incorporating AI in your SEO increases not only effectiveness, but also efficiency. Complex strategy insights in the form of content development, conversion, and usability optimization can be handled by AI quickly and reliably.

‍

Through technical optimization, machine learning and natural language processing (NLP), AI in SEO will increasingly dominate the market. Based on learning processes, no optimization opportunity will go undetected. Gaps in SEO can be fixed and specific articles or even entire websites will be given higher relevance to boost search engine results.

‍

How Rellify uses AI in SEO

Another notable statistic from Forbes: 1 in 3 businesses said in 2023 that they plan to use ChatGPT to write website content. While ChatGPT might seem like an efficient way to churn out content, it doesn't have the capability to understand exactly what your target audience is already searching for. That's where Rellify is different.

‍

While you have the option to use generative AI text within the Rellify platform, we're particularly excited about the way we harness AI to revolutionize the core of SEO through the use of a custom Relliverse™. Using a "neural network" model similar to the data processing capabilities of the human brain, Rellify helps its clients understand their particular audiences and their habits on search engines. By crawling the websites of you and your competitors, we can group keywords into topics and clusters based on your niche target customer's search intent. Our AI sets the stage for you to create content that your target audience wants to read.

‍

Furthermore, the Rellify platform itself allows you to incorporate AI wherever you see fit. Want to generate an outline that tells you where your keywords would be best used? Rellify's Smart Brief feature allows you to seamlessly build a well-structured and comprehensive brief with subsequent keyword suggestions in seconds.

‍

Want to craft a perfect meta description in seconds? Rellify's generative AI feature can scan the entirety of your text in moments and produce a concise description.

‍

A writer on our app can use AI to answer specific questions, continue text, and summarize text. Don't want to write a single thing? Rellify's AI will generate an article for you. We can take you in a matter of minutes from exploring for the right topics and keywords to producing full articles.

‍

With Rellify, you're in the driver's seat when it comes to using AI in SEO. We just give you the fuel, car keys, and GPS.

‍

‍

‍

The key benefits of AI in SEO

A primary benefit of using AI in SEO is efficiency and speed. The increase in efficiency can even be quantified in monetary terms. Content creators in the company can work faster and more efficiently with the support of AI in SEO.

‍

In addition, many companies use the services of SEO agencies. These can become faster and more cost-effective with the support of AI with deep machine learning. It will become easier over time to create entire websites with a few clicks while still maintaining relevance to search engines.

‍

The improvement in search engine ranking can also be accurately measured when using AI to bolster SEO. This will have a direct impact on sales success, especially for online stores or any company with an online presence.

‍

Machine learning or deep learning is not only helpful in the strategic planning and implementation process but also in improving content over time. Currently, relevant content is generally only revised after publication when reports show that click numbers are falling or the content is falling in the search rankings. AI supports online marketing in the ongoing monitoring and (human-assisted) maintenance of content and ensures a largely constant high relevance for search engines.

‍

How does Google deal with AI in SEO?

With the research project “Google Brain” and the acquisition of the AI specialist DeepMind in 2014, Google positioned itself as a leader in the field of artificial intelligence. Since CEO Sundar Pichai officially announced the change in strategy from “Mobile First” to “AI First” in 2016, it’s clear that AI will shape almost all areas of the company in the present and future.

‍

But AI has changed a lot since then, right?

‍

‍Google has maintained that it will not be penalizing content that is AI-generated or augmented with AI automation. Regardless of how content is produced, those seeking success in Google Search should be looking to create original, high-quality, people-first content demonstrating qualities E-E-A-T. This stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Google has no issues or penalties for using AI throughout your content creation process, as long as your goal is to authentically reach your target audience.

‍

‍The bottom line: if you rely too heavily on completely artificially synthesized AI content and effectively just become a cheap content mill with no aspects of E-E-A-T, Google will notice and penalize you. While AI content detection technology is still a work in progress, Google's motto is simply this: "we know quality content when we see it, and that's what we'll promote."

‍

Supercharge your Marketing Efforts by Using AI in SEO

We're serious about using AI to augment your content marketing efforts, and that means your SEO. With a custom Relliverse™, combined with the comprehensive suite of features within the Rellify platform, you can ensure your quality content is tailored from start to finish for both your audience and search engine visibility. Ready to see for yourself? Talk to a Rellify expert and see how Rellify can maximize your marketing ROI with relevant, SEO-optimized content that's crafted expertly with AI assistance.

‍

‍

‍

By Dan Duke - Every day brings new opportunities to interact with customers, but if you reach out to them in only one way, you limit those interactions. Multichannel marketing gives companies different avenues for connecting with more customers and prospects.

‍

Multichannel marketing is a strategy of engaging customers through multiple online and offline touchpoints in a unified and seamless way. A multichannel marketing campaign recognizes that shoppers have many behaviors and preferences. It tries to interact with audiences wherever they are by using tailored messaging. To implement it effectively, you must understand how different channels connect, as well as the unique capabilities of each.

‍

Let's look at how multichannel marketing uses personalized communication, relevant content and targeted reach to boost recognition and sales.

The evolution of multichannel marketing

Selling has evolved from single-channel approaches, such as catalog marketing ad campaigns, direct mail campaigns, and television commercials, to more advanced multichannel strategies. The advent of the internet and digital technology led to a sales revolution in which brands can engage consumers through many means, including websites, social channels, email, search engines, and more.

‍

Multichannel marketing communication integrates all of these touchpoints online and offline to create a single brand experience. In a multichannel campaign, potential customers are engaged throughout their buyer’s journey and across multiple platforms.

The core components of a successful multichannel marketing strategy

A successful multichannel marketing strategy requires several key elements that engage customers across different platforms:

• Understand your target audience's demographics, preferences, and behaviors across various channels. Use data analysis as a marketing tool to gather insights and shape your targeting strategies.
• Identify the most relevant channels for your audience, such as social media, email, websites, mobile apps, and physical stores. Support smooth integration between channels to offer a consistent brand experience.
• Define specific goals for each digital marketing channel, such as increasing brand awareness or driving website traffic.
• Develop compelling and relevant content tailored to each channel and audience. Implement SEO best practices with that content to improve visibility and ranking in search engine results pages. Maintain consistent messaging while adapting content formats for specific platforms.
• Implement personalized sales strategy tactics based on consumer behavior. Rely on segmentation and targeting techniques to deliver personalized messages to your audience segments. Invest in targeted advertising campaigns across platforms like Google Ads, Facebook Ads, and LinkedIn Ads. Actively participate on relevant social media platforms by sharing valuable content, responding to comments, and building relationships with followers.

• Monitor and analyze performance metrics across all channels. Use data insights to optimize campaigns, refine targeting strategies, and enhance the consumer experience
• Understand the buyer journey from awareness to conversion. Design touchpoints and interactions to guide customers seamlessly through the purchasing process.
• Maintain consistent branding and messaging across all channels. Encourage communication and engagement between channels to create a unified brand experience.

‍

By integrating these core components into your campaign, you effectively engage your audience, boost conversions, and nurture long-term consumer relationships.

The role of SEO in enhancing online visibility

Search Engine Optimization (SEO) helps to increase online exposure by getting the highest possible ranking for your website on a search engine results page (SERP) for a chosen keyword or phrase. In an age where more and more people rely on search engines to find products, services, and information, brands need an SEO strategy to break out of the clutter of the internet and find the sustained success they desire.

‍

Fundamentally, SEO involves optimizing a site’s content, architecture, and performance to maximize how search engines understand, interpret, and display this information. When businesses follow best practices, such as keyword research, on-page optimization, and link building, they stand a better chance of displaying highly in the SERPs (search engine results pages) after a user queries related terms.

‍

SEO also applies to local search, mobile-friendliness, and user experience — the increasing need to be found whenever a potential buyer is inquiring by mobile phone and voice search. Invest in a good SEO strategy if you want to be in the game.

The importance of tailored marketing messages across platforms

One of the advantages of multichannel marketing is that you can adapt the sales message to the distinct audiences, features, and multichannel strategy of each platform. It helps you connect with people in a more relevant, engaging way.

‍

If the aim of a campaign is to boost website traffic, the emphasis should be on enhancing SEO and implementing content marketing tactics. If the goal is to boost brand recognition, you might create ways to encourage interaction through social media campaigns.

‍

Another advantage is that you can adapt the content to fit the channel's strengths. Familiarize yourself with the audience demographics and preferences specific to each channel:

‍

• Content shared on social media platforms such as Instagram need visual appeal and brevity.
• Email campaigns can deliver in-depth information and personalized communication.
• Video content excels on platforms like YouTube or Facebook.
• Blog posts and articles work great on websites and in email newsletters.

Tailored messaging also enhances personalization by attending to each person's requirements, interests, and challenges. This promotes user loyalty and trust by strengthening your relationships with users.

‍

At the same time, the overall branding and messaging must be consistent. Regardless of how a buyer interacts with your brand — be it through social media, a newsletter email, websites, or physical stores — they should encounter consistent branding and messaging. This builds trust and reinforces brand recognition, ultimately elevating the overall shopper experience.

‍

You might, for example, use social media for buyer engagement, email sales for personalized offers, and a mobile app for seamless transactions. The messaging can be adjusted to fit the channel and the audience you are likely to reach on that channel.

‍

A shopper might discover a product through social media, research it on a website, and complete the purchase in-store. Great multichannel marketing helps guide your customer down this path.

The customer journey in multichannel marketing

A key component of a sales campaign is the customer journey, which is made up of all the interactions and touchpoints that consumers experience with your business.

‍

Understanding the buyer journey helps you to determine the best channels to use and the best messaging for each channel. Your campaign can anticipate and address customers' demands and pain points at every stage.

‍

Consumers appreciate a smooth transition across various platforms and points of contact. Focus on maintaining consistency in branding, messaging, and user experience over the whole process.

‍

The buyer journey essentially serves as a road map for multichannel sales communications initiatives, helping you to engage with customers more effectively, increase conversions, and build enduring relationships with the target audience.

Marketing tools and platforms for cohesive campaigns

Multichannel marketing is by its very nature more complex than single-channel marketing. Marketing tools and platforms can make campaign management, data analysis, and audience engagement more streamlined and efficient.

‍

Sales automation platforms automate tasks such as email marketing effort, social media scheduling, and lead nurturing.

‍

Content management systems (CMS) and customer relationship management (CRM) systems support information management, planning, and delivery as well as customer data management and classification.

‍

As a content marketing platform, Rellify makes it easy for you to create content strategies that deliver measurable results. Our guided workflow can take you in minutes from creating a content plan to generating relevant content at scale. You can fully leverage generative AI faster than ever before.

‍

Using a "neural network" model similar to the data processing capabilities of the human brain, Rellify helps its clients understand their particular audiences and their habits on search engines. By crawling your website and those of your competitors, we can group keywords into topics and clusters based on your niche target customer's search intent. We call that creating a Relliverse™ just for you — a company-specific AI subject-matter expert for all topics that move your company.

‍

The Relliverse™ leverages AI to analyze audience preferences, allowing you to create highly personalized and relevant content that resonates with your target audience, thereby improving engagement rates.

‍

Furthermore, the Rellify platform itself allows you to incorporate AI wherever you see fit. Want to generate an outline that tells you where your keywords would be best used? Rellify's Smart Brief feature allows you to seamlessly build a well-structured and comprehensive brief with subsequent keyword suggestions in seconds.

Building brand awareness with content marketing

Content marketing is an essential tool for businesses to maintain brand recognition. By providing valuable, relevant, and interesting information to specific audiences, content marketing can play a major role in multichannel marketing campaigns. It can create a strong presence, effectively communicate values, and set businesses apart in the marketplace.

‍

It enables your brand to showcase its skills and expertise in the industry. By producing high-quality content that is relevant to the target audience’s preferences and interests, you develop the online reputation of being a reliable source, which gives your brand credibility.

‍

If you want to learn how to create an execute a content marketing plan, whether or not it is part of a larger multichannel marketing strategy, contact Rellify today.

‍

‍

‍

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!

‍

‍

‍

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.

‍

‍

‍

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!

‍

‍

‍

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!

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!