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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.
You can also easily compare text by copying and pasting it into each field, as demonstrated below.
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.
Congrats, you’ve built topical authority for your website — now, how do you prove it’s working?
Content marketers can spend months using this SEO strategy to build a website’s holistic trustworthiness, expertise, and credibility in a given content niche, but without the right metrics, it’s impossible to know if you’re on the right path to topical authority.
In this article, we’ll discuss three key metric areas to track topical authority and how, like all content marketing analytics, they help marketers adjust and optimize content strategy.
Get a patented content quality toolkit to streamline your content marketing process with the Originality.ai Content Optimizer, AI Checker, and Plagiarism Checker.
Building topical authority on a strategic topic helps a website to establish the expertise, depth and relevance needed to address its audience’s search intent.
When done well, it also signals to Google that a website should rank higher than others on that topic.
Overall, topical authority can result in higher rankings across topic clusters, increased organic traffic and visibility, and stronger user trust and engagement.
But without measurement, a content marketer (and their stakeholders) won’t know whether the strategy is working.
Tracking key metrics related to topical authority can help a brand:
While there is no distinct single metric for topical authority, there are three key areas to monitor for signals about your strategy’s effectiveness:
The most straightforward of topical authority indicators is the change in search traffic since you implemented your strategy, and how much attention you are capturing in the niche compared to your competitors.
Topic share measures what percentage of niche traffic your content captures compared to competitors.
According to Search Engine Journal, you can use keyword research tools to find all relevant keywords for your main topic, then see how much traffic you are receiving related to that keyword cluster (you can also look at it in comparison to the cluster’s potential for traffic volume).
Track how your total topical content performs as a group rather than individual pages. Monitor the combined traffic growth for all topical pages and use Google Analytics to monitor this metric.
If your content appears in featured snippets, knowledge panels, People Also Ask, or AI Overviews, it’s a signal that your topical authority strategy is working, because it is being picked up by Google. Monitor this over time using tools or manual tracking.
How users engage with your content provides insight into how relevant and trustworthy they view your site to be. In other words, how well your content answers their questions and solves the issues they are searching for.
People spend more time reading content from sources they trust. Monitor the time spent on the page, session length, and clicks to related articles, which signal engagement and authority to search engines.
Strong internal linking between related topical pages creates a web of engagement opportunities for users that can strengthen your authority signals. Use Google Analytics to check which internal links are performing well and optimize accordingly.
Use Google Analytics to track what percentage of your topic-related traffic comes from returning visitors versus new visitors. When users return, it's a sign that they trust you and view you as an authority.
Signals from outside of your own website metrics show you how often others, including AI systems, are recognizing your expertise in the area and referring users to your content.
Focus on earning links from websites within your topic area rather than just general, high-authority sites. Use backlink analysis tools to track the relevance and quality of the sites linking to your content over time.
AI-powered searches are increasingly common, and they often cite authoritative sources. Look for your content in Google’s AI Overviews, ChatGPT responses, or other AI-generated answers, and track it over time.
When people search for your brand name combined with topic-related keywords, it’s a strong sign that your brand is associated with expertise in that area. Track these searches with Google Search Console or Google Trends to monitor changes over time.
When starting out, focus on two or three key metrics, rather than trying to track every possible detail at once. Look for trends over time, not daily fluctuations, and make small, trackable adjustments based on what you learn.
As with any SEO-related content strategy, topical authority isn’t a stand-alone or a quick fix. It is part of a comprehensive, interconnected content marketing plan that builds credibility, trust, and authentic connection over time.
Confidently publish high-quality content with the Originality.ai suite of editorial tools, including a Content Optimizer, AI Checker, and Plagiarism Checker.
Then, learn more about topical authority in our top guides:
No, that’s one of the benefits, only fill out the areas which you think will be relevant to the prompts you require.
When making the tool we had to make each prompt as general as possible to be able to include every kind of input. Not to worry though ChatGPT is smart and will still understand the prompt.
Originality.ai did a fantastic job on all three prompts, precisely detecting them as AI-written. Additionally, after I checked with actual human-written textual content, it did determine it as 100% human-generated, which is important.
Vahan Petrosyan
searchenginejournal.com
I use this tool most frequently to check for AI content personally. My most frequent use-case is checking content submitted by freelance writers we work with for AI and plagiarism.
Tom Demers
searchengineland.com
After extensive research and testing, we determined Originality.ai to be the most accurate technology.
Rock Content Team
rockcontent.com
Jon Gillham, Founder of Originality.ai came up with a tool to detect whether the content is written by humans or AI tools. It’s built on such technology that can specifically detect content by ChatGPT-3 — by giving you a spam score of 0-100, with an accuracy of 94%.
Felix Rose-Collins
ranktracker.com
ChatGPT lacks empathy and originality. It’s also recognized as AI-generated content most of the time by plagiarism and AI detectors like Originality.ai
Ashley Stahl
forbes.com
Originality.ai Do give them a shot!
Sri Krishna
venturebeat.com
For web publishers, Originality.ai will enable you to scan your content seamlessly, see who has checked it previously, and detect if an AI-powered tool was implored.
Industry Trends
analyticsinsight.net
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.
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.
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.
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.
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.
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.
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.
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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This table below shows a heat map of features on other sites compared to ours as you can see we almost have greens across the board!
