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.
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.
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!
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.
It seems like everyone’s talking about the capabilities of generative AI tools these days.
Sure, they don’t all agree on everything, but it’s undeniable that generative AI has its benefits across several use cases.
At least, if you’re feeding the tools good-quality prompts.
Here, we’ll show you how to create good AI prompts in seven easy ways to help maximize the potential of generative AI.
Then, as best practice, remember to stay up to date with Google’s latest algorithm updates and Search Quality Rater Guidelines, which include guidelines on AI use.
Let’s begin by considering the differences between good and bad AI prompts.
One of the best ways to see what separates the two is to break them down by key characteristics, like clarity and context.
Here’s a quick breakdown of how strong and weak AI writing prompts typically compare:
Of course, it’s possible to get lucky and generate just what you need from a typical “bad” prompt. However, learning and practicing good prompting skills is often key to creating consistent, high-quality.
With that in mind, let’s look at some different ways to ensure your prompts fall into the ‘good’ category.
First, make sure your prompts are clear and specific by using direct language and avoiding vague terms.
Large language models (LLMs) rely on patterns learned from their training data to interpret the exact words in your prompts. That means they can’t really understand nuance or ‘figure out’ what you meant to say.
For example, if you want to write a welcome email for a new subscriber to your running blog, you need to provide clear and specific instructions, like this:
Write a warm, energetic welcome email for a new subscriber to my running blog. The blog focuses on motivating beginner and intermediate runners with training tips, personal stories, and product recommendations.
Keep the email between 150 and 200 words.
Use simple, clear language with short paragraphs.
The tone should be friendly, encouraging, and inspiring.
In the email:
Notice how the prompt is full of detailed information about structure, tone, readability, and content to allow the AI tool to really understand our expectations.
Another great way to improve your prompts is by asking your chosen AI tool to take on a persona when providing answers.
Clearly defining the tool’s role or context can help ensure its output is appropriate for your audience.
For example, let’s say you’re coming up with ChatGPT prompts to create an article outline on a specific subject. In this case, you can ask it to take on the role of a search engine optimization (SEO) expert to improve search engine rankings.
A good prompt here could look something like this:
Act as an SEO expert with 10+ years of experience specializing in content strategy, keyword research, on-page optimization, and technical SEO.
When you respond, prioritize strategies in line with Google's latest algorithm updates and SEO best practices as of 2025.
For any SEO question or task:
It’s also important to break down your prompts into easy-to-follow, step-by-step instructions. LLMs tend to perform better when complex tasks are divided into smaller parts because it:
Even better, it saves time by cutting down on follow-up prompts.
If you look back at our previous two examples, you’ll see that we’ve used clear step-by-step instructions to help guide the AI in generating our desired output.
Prompts typically focus on telling generative AI tools what they should do, but it’s always a good idea to specify what they do as well. For example:
This level of clarity is also extremely important, as AI tools tend to ramble or lose focus, especially when dealing with complex topics.
If you want your output to follow a particular format, then you need to specify that in your prompt. AI tools have a lot to offer, but they aren’t mind readers.
Take this example. Let’s say we needed three quick, frequently asked questions for an article on ‘How to Make Sourdough Bread’.
For maximum visibility, we want the questions to be relevant and the answers to be formatted in a way that fits the People Also Ask section of Google. Even better, that also increases the chances of ranking in a Featured Snippet, especially if the question matches a high-volume search term.
When we use the prompt “Give me three frequently asked questions about how to make sourdough bread with answers.”, here’s what we get:
Not bad, but the formatting isn’t ideal for aligning with the People Also Ask section.
Now, here are the answers when we use a much more detailed prompt:
Give me frequently asked questions about how to make sourdough bread with answers. The questions should match the People Always Ask section of the Google SERP for this keyword phrase, and the answers should be provided in a way that is most likely to rank for a Featured Snippet. Be clear, concise, and use a format that is already ranking in the SERP as your structure for each one. Provide me with 5 that I can then pick from.
In the second version, the answers are formatted in a much better way for both the People Also Ask and Featured Snippets sections because:
Although the first version still technically delivered a correct response, the second one has cleaner formatting and structure that matches the People Also Ask sections.
Keep in mind that when creating content to rank well in Google, Google still prefers content that prioritizes people and offers unique insights and expertise.
Another great way to ensure your generative AI results match your needs is to tell it about your target audience. Clarify who the message is for and how it should sound, and the output should be much closer to what you’re after.
Let’s say your sourdough bread article is meant for an audience of expert breadmakers. In this case, you don’t want your output to cover the basics of sourdough bread.
Instead, you should include advanced tips from other breadmakers, maybe some technical jargon, and anything else that could be of value to those experts.
Finally, it’s important to keep in mind that an AI’s initial response to a prompt isn’t always the best one. You don’t need to take it. If its output doesn’t match what you want, refine your prompt.
Don’t be afraid to challenge AI responses, and check that the tool has factored in every aspect of your prompt.
You’ll want to be especially careful with any statements or claims from AI tools.
ChatGPT, for example, produces answers with such confidence that it can be easy to assume the data is correct. However, it's known for making mistakes, and AI hallucinations and factual errors can get you into trouble.
So, remember to always fact-check for sources and challenge anything that doesn’t look right.
That said, even the best prompts can’t replace authentic human writing.
As previously mentioned, AI can make mistakes, and further, Google recently updated its Search Quality Rater Guidelines in 2025 to advise raters that if all of the main content on a page is AI or automated, it should be marked as lowest quality. Not to mention Google penalties for AI content that doesn’t comply with spam policies.
So, while learning how to create good AI prompts is a key skill as AI becomes increasingly integrated into multiple industries, it’s still essential to create high-quality people-first content for your audience.
Then, maintain transparency in the content you publish by using the Originality.ai AI Checker and Site Scan to flag AI-generated text in your content for further review.
Learning how to create good AI prompts with tools like ChatGPT can take a bit of practice, but it doesn’t have to be a steep learning curve. As long as you apply these tips with some consistency, you should start seeing better outputs in no time.
When you know how to prompt AI properly, it can be a powerful addition to your content toolbox.
However, you still need to balance generative AI with human insight to ensure accuracy, maintain quality, and protect your brand’s credibility.
Looking for the best AI writing tools to use with your prompts? Check out some of our top reviews:
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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