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The Beginner's Guide to Using AI for Topic Clustering

Discover tips and best practices for using AI to build topic clusters for your content marketing strategies in this beginner’s guide.

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Introduction

Our text compare tool is a fantastic, lightweight tool that provides plagiarism checks between two documents. Whether you are a student, blogger or publisher, this tool offers a great solution to detect and compare similarities between any two pieces of text. In this article, I will discuss the different ways to use the tool, the primary features of the tool and who this tool is for. There is an FAQ at the bottom if you run into any issues when trying to use the tool.

What makes Originality.ai’s text comparison tool stand out?

Keyword density helper – This tool comes with a built-in keyword density helper in some ways similar to the likes of SurferSEO or MarketMuse the difference being, ours is free! This feature shows the user the frequency of single or two word keywords in a document, meaning you can easily compare an article you have written against a competitor to see the major differences in keyword densities. This is especially useful for SEO’s who are looking to optimize their blog content for search engines and improve the blog’s visibility.

Ways to compare

File compare – Text comparison between files is a breeze with our tool. Simply select the files you would like to compare, hit “Upload” and our tool will automatically insert the content into the text area, then simply hit “Compare” and let our tool show you where the differences in the text are. By uploading a file, you can still check the keyword density in your content.

URL compare

Comparing text between URLs is effortless with our tool. Simply paste the URL you would like to get the content from (in our example we use a fantastic blog post by Sherice Jacob found here) hit “Submit URL” and our tool will automatically retrieve the contents of the page and paste it into the text area, then simply click “Compare” and let our tool highlight the difference between the URLs. This feature is especially useful for checking keyword density between pages!

Simple text compare

You can also easily compare text by copying and pasting it into each field, as demonstrated below.

Features of Originality.ai’s Text Compare Tool

Ease of use

Our text compare tool is created with the user in mind, it is designed to be accessible to everyone. Our tool allows users to upload files or enter a URL to extract text, this along with the lightweight design ensures a seamless experience. The interface is simple and straightforward, making it easy for users to compare text and detect the diff.

Multiple text file format support

Our tool provides support for a variety of different text files and microsoft word formats including pdf file, .docx, .odt, .doc, and .txt, giving users the ability to compare text from different sources with ease. This makes it a great solution for students, bloggers, and publishers who are looking for file comparison in different formats.

Protects intellectual property

Our text comparison tool helps you protect your intellectual property and helps prevent plagiarism. This tool provides an accurate comparison of texts, making it easy to ensure that your work is original and not copied from other sources. Our tool is a valuable resource for anyone looking to maintain the originality of their content.

User Data Privacy

Our text compare tool is secure and protects user data privacy. No data is ever saved to the tool, the users’ text is only scanned and pasted into the tool’s text area. This makes certain that users can use our tool with confidence, knowing their data is safe and secure.

Compatibility

Our text comparison tool is designed to work seamlessly across all size devices, ensuring maximum compatibility no matter your screen size. Whether you are using a large desktop monitor, a small laptop, a tablet or a smartphone, this tool adjusts to your screen size. This means that users can compare texts and detect the diff anywhere without the need for specialized hardware or software. This level of accessibility makes it an ideal solution for students or bloggers who value the originality of their work and need to compare text online anywhere at any time.

As a content marketer, you know you need consistent, high-quality content. You also know that creating content that’s relevant and targeted to what your ideal customer is searching for is a must for search engine optimization. 

However, these days, even that’s not enough to rank well in the search engines. You have to make sure your content is being read and acted upon. 

One of the best ways to do that while delivering a valuable user experience is by topic clustering. Topic clustering structures your content around specific themes and subtopics. 

The best part? AI is a huge help when it comes to topic clustering! Let’s take a closer look:

In a Hurry? Here’s What You’ll Learn in This Guide: 

  • What topic clustering is, including examples
  • How to use AI for topic clustering, step-by-step
  • Best practices for AI topic clustering

Get a best-in-class suite of tools for marketers and web publishers with the Originality.ai AI Checker, Predictive SEO Tool, and Grammar Checker.

What is Topic Clustering? 

Topic clustering organizes content around a central “content pillar” that covers a topic broadly. Around this pillar are “clusters” that cover specific subtopics. These clusters are then interlinked to improve SEO, provide more depth to the content, and deliver a better overall user experience. 

Example: Email marketing is an incredibly broad topic. An example of topic clustering with email marketing would involve a broad piece on “Email Marketing Best Practices”, and then cluster pages based on subtopics like: 

  • How to Write Open-Worthy Subject Lines
  • How to Personalize Your Emails Beyond the First Name
  • How to Avoid Spam Filters

When search engines crawl these sub-topics, they understand that you’re writing in-depth on this topic, and that in turn increases your chances of ranking higher. 

Why Does Topic Clustering Matter for SEO?

Topic clustering goes beyond just a way to organize your content. It’s also more than just a content marketing strategy. Done correctly, it can greatly enhance your search engine optimization efforts by: 

Increasing topical authority

By creating clusters that go into detail on specific topics, you show search engines that you have a profound knowledge of the topic (or topical authority), a key aspect of Google’s Helpful, Reliable, People-First Content guidelines. The more you continue to publish content that meets these guidelines and is fully optimized, the better. 

Make it easy for search engines to find you

Linking your pillar pages with your cluster pages makes it easier for search engines to crawl your pages and index them. You want to make it as smooth as possible, as the more pages they index, the more likely your site will be found when your ideal customer searches for a keyword you’re targeting. 

Target multiple keywords and phrases

Clusters let you target several related keywords and phrases naturally, rather than just focusing on one at a time, improving your chances for short-tail and long-tail keyword searches. 

Improves user engagement

When users come across a cluster of content, they’re much more likely to spend a longer time on the page learning and following the steps or educating and informing themselves by reading your content. 

This shows up in your analytics as a low bounce rate and higher time on site, which are both indicators that search engines use to identify quality sites and rank them accordingly. 

Keeps content organized

Rather than having a bunch of standalone posts that are isolated from each other and scattered on a variety of topics, topic clustering keeps your content in one cohesive unit making it easier to see where you may have content gaps so that you can stay ahead of the competition. 

Why Use AI for Topic Clustering? 

AI is an excellent tool for handling much of the heavy lifting. Researching, planning, and clustering topics by hand is time-consuming. 

AI makes the process simple and straightforward by

  • Analyzing large amounts of data: AI can scan hundreds of search queries, articles and competitor pages to find specific subtopics. 
  • Spotting topics that need more coverage: AI can uncover emerging trends or content gaps that can be difficult to spot manually. 
  • Better keyword targeting: AI can suggest long-tail keywords and relevant keyword variations that improve your overall SEO strategy. 

How to Use AI for Topic Clustering in 6 Steps

Now that you know why using AI for topic clustering and SEO is a smart idea, how exactly do you do it? Follow these steps:

Step 1: Define your main topic

Start by choosing the broad topic you want to talk about. For example, if you run an email marketing blog, you might start with “Email Marketing Basics.

This is meant to be a purposefully broad keyword and topic. Consider what your audience is looking for, where your expertise lies, and how this aligns with your overall goals. 

Step 2: Choose the best AI tool

There are a variety of AI tools that can help you identify the best topic clusters for your SEO and content marketing efforts. 

For example, ChatGPT and other AI writing assistants can help you brainstorm subtopics while creating relevant outlines and highlighting potential FAQs. 

Then, search engine-specific tools like SEMrush and Ahrefs (and other keyword research tools) let you research a topic in greater depth while giving you detailed keyword and keyphrase data. 

Originality.ai’s Predictive SEO Tool will show you how optimized your content is in comparison to the competition, find relevant keywords to help you build topical authority, and offer intelligent AI SEO suggestions you can implement to help your content rank more competitively. 

The Originality.ai Predictive SEO Tool is also manipulation-resistant to tactics like keyword stuffing. Learn more in our Predictive SEO Accuracy Study.

Step 3: Generate subtopics with AI

If you’re using an AI Chatbot like ChatGPT, add a broad topic, and prompt the AI to generate subtopics. 

Depending on the tool, it may generate related topics, variations on keywords, or questions people ask related to the topic. Use this information to create a list of potential cluster topics.

We ran a brief test in ChatGPT, going back to our example theme of email marketing content:

When prompted, ChatGPT recommended several subtopics including email list building, email automation, and email marketing metrics that could expand the topic cluster.

Be sure to keep user intent in mind. You want your subtopics to span all of the different stages of the customer journey, including awareness, consideration, and decision. 

Step 4: Organize and prioritize subtopics

Once you have a list, review it carefully. Keep in mind that not every suggestion that AI makes needs to be a cluster of posts. 

Prioritize your strategy by focusing on: 

  • How often people are searching for this subtopic (or whether they’re searching for it at all)
  • Whether or not the subtopic supports the main pillar post
  • How competitive it will be to rank well for the keywords 

Step 5: Create and optimize content

The last step is the content creation process. Draft your outlines, ask AI to suggest  FAQs and headings, and use Originality.ai’s Predictive SEO Tool to optimize your articles. 

Additionally, make sure your content is clear, grammatically correct, and readable. The more time a user spends on your pages consuming your content, the more beneficial signals get sent to the search engine algorithms.  

Step 6: Link cluster content to the pillar page

Finally, interlink your cluster pages back to your pillar page and vice versa. This type of interlinking structure helps search engines understand how your topics relate to each other to improve SEO overall. 

Best Practices for AI Topic Clustering

Now that you have a better idea of what AI topic clustering is, how can you make sure you’re getting the most productive results out of AI when you use it? 

Follow these best practices: 

Don’t over-optimize

AI tools are great for suggestion keywords, and it can be tempting to want to fit them all into your content. However, resist the urge to over-optimize your content. You want to avoid keyword stuffing or adding keywords to the point where it affects readability as that can have the opposite effect on your ranking. Striking the right balance is crucial! 

Using the Originality.ai Predictive SEO Tool is a great way to naturally incorporate relevant keywords and intelligent SEO suggestions, as it is resistant to keyword stuffing and rewards genuine content improvements.

Focus on user intent

User intent is at the core of not just a good search engine ranking, but the entire experience from landing on a page to reading content to drawing information from it and then acting on that information. So be sure to keep user intent at the heart of your research. 

Update content regularly

Gradually review your content from time to time to make sure it continues to stay relevant to what searchers are looking for. The last thing you want is to secure a top ranking only to show visitors outdated information. AI can suggest updates based on different trends and new information to help you keep that hard-earned ranking. 

Human insights + AI: the best of both worlds

Although AI can do a great many things and handles much of the heavy lifting when it comes to research, nothing beats personal insights, innovative research, and anecdotes. Incorporate your expertise and unique brand voice, so that you are writing people-first content for your audience.

AI for Topic Clustering: Final Thoughts

Using AI for topic clustering is a great way to build on your existing content strategy. Not only does it help you create a more organized, unified content creation process but it can also help boost your search engine ranking and your authority over time. 

By following these steps when creating your content clusters, you’ll have a much more efficient process in place and continue to stay one step ahead of the competition. 

Complement your topic clustering marketing strategy with the Originality.ai AI Checker, Predictive SEO Tool, and Grammar Checker.

Then, learn more about topical authority:

Sherice Jacob

Sherice Jacob is a seasoned copywriter and content professional fluent in English, Spanish, and Catalan, with over 25 years of experience crafting high-converting copy. Passionate about AI, she enjoys exploring the new innovations and possibilities it brings to the world of content creation.

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Frequently Asked Questions

Why is it important to check for plagiarism?

Tools for conducting a plagiarism check between two documents online are important as it helps to ensure the originality and authenticity of written work. Plagiarism undermines the value of professional and educational institutions, as well as the integrity of the authors who write articles. By checking for plagiarism, you can ensure the work that you produce is original or properly attributed to the original author. This helps prevent the distribution of copied and misrepresented information.

What is Text Comparison?

Text comparison is the process of taking two or more pieces of text and comparing them to see if there are any similarities, differences and/or plagiarism. The objective of a text comparison is to see if one of the texts has been copied or paraphrased from another text. This text compare tool for plagiarism check between two documents has been built to help you streamline that process by finding the discrepancies with ease.

How do Text Comparison Tools Work?

Text comparison tools work by analyzing and comparing the contents of two or more text documents to find similarities and differences between them. This is typically done by breaking the texts down into smaller units such as sentences or phrases, and then calculating a similarity score based on the number of identical or nearly identical units. The comparison may be based on the exact wording of the text, or it may take into account synonyms and other variations in language. The results of the comparison are usually presented in the form of a report or visual representation, highlighting the similarities and differences between the texts.

String comparison is a fundamental operation in text comparison tools that involves comparing two sequences of characters to determine if they are identical or not. This comparison can be done at the character level or at a higher level, such as the word or sentence level.

The most basic form of string comparison is the equality test, where the two strings are compared character by character and a Boolean result indicating whether they are equal or not is returned. More sophisticated string comparison algorithms use heuristics and statistical models to determine the similarity between two strings, even if they are not exactly the same. These algorithms often use techniques such as edit distance, which measures the minimum number of operations (such as insertions, deletions, and substitutions) required to transform one string into another.

Another common technique for string comparison is n-gram analysis, where the strings are divided into overlapping sequences of characters (n-grams) and the frequency of each n-gram is compared between the two strings. This allows for a more nuanced comparison that takes into account partial similarities, rather than just exact matches.

String comparison is a crucial component of text comparison tools, as it forms the basis for determining the similarities and differences between texts. The results of the string comparison can then be used to generate a report or visual representation of the similarities and differences between the texts.

What is Syntax Highlighting?

Syntax highlighting is a feature of text editors and integrated development environments (IDEs) that helps to visually distinguish different elements of a code or markup language. It does this by coloring different elements of the code, such as keywords, variables, functions, and operators, based on a predefined set of rules.

The purpose of syntax highlighting is to make the code easier to read and understand, by drawing attention to the different elements and their structure. For example, keywords may be colored in a different hue to emphasize their importance, while comments or strings may be colored differently to distinguish them from the code itself. This helps to make the code more readable, reducing the cognitive load of the reader and making it easier to identify potential syntax errors.

How Can I Conduct a Plagiarism Check between Two Documents Online?

With our tool it’s easy, just enter or upload some text, click on the button “Compare text” and the tool will automatically display the diff between the two texts.

What Are the Benefits of Using a Text Compare Tool?

Using text comparison tools is much easier, more efficient, and more reliable than proofreading a piece of text by hand. Eliminate the risk of human error by using a tool to detect and display the text difference within seconds.

What Files Can You Inspect with This Text Compare Tool?

We have support for the file extensions .pdf, .docx, .odt, .doc and .txt. You can also enter your text or copy and paste text to compare.

Will My Data Be Shared?

There is never any data saved by the tool, when you hit “Upload” we are just scanning the text and pasting it into our text area so with our text compare tool, no data ever enters our servers.

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