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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.
In recent years, the proliferation of generative artificial intelligence (AI) tools has transformed the landscape of online content creation, including customer reviews.
This shift is particularly relevant in highly regulated and reputation-sensitive sectors such as banking, where consumer trust plays a central role in shaping public perception and market behavior.
As customers increasingly rely on digital reviews to make informed decisions, the integrity and authenticity of these reviews become critical.
This study aims to investigate the extent to which AI-generated content has impacted customer reviews of United States banks from 2018 to 2024.
This study contributes to the broader conversation on AI ethics, regulatory oversight, and the evolving nature of online reputation systems in the financial industry.
The study was conducted using a dataset of over 19,000 customer reviews from 47 distinct US banks. Then, we applied proprietary Originality.ai AI detection to classify each review based on its likelihood of being AI-generated.
We focused on year-over-year trends to understand how the prevalence of AI-generated content has evolved over time.
In a study of over 19,000 customer reviews from 47 US banks from 2018 to 2024:
Interested in learning more about the impact of AI on bank reviews from other regions? Read our analysis of AI Canadian “Big 5” bank reviews and AI Canadian Online Bank Reviews.
The analysis of AI-generated customer reviews for U.S. banks between 2018 and 2024 reveals a clear upward trend in synthetic content (as depicted in the graph above).
Starting from a low baseline in 2018, the rate of reviews identified as AI-generated has steadily increased year over year (while remaining mostly human-written). Let’s take a closer look:
In 2018, the proportion of AI-generated reviews stood at approximately 0.56%. The growth of AI reviews in US banks was relatively modest over the time period studied:
The key takeaway from this analysis of AI US Bank Reviews? While the rate of AI reviews for US Banks is rising, the majority of reviews as of 2024 are still human-written.
Why are AI reviews increasing (even if moderately)? There are a few possibilities:
The findings from this study highlight that AI content has increased in US Bank reviews since 2018. In 2024, 5.1% of US Bank reviews were AI-generated, up from just 0.56% in 2018.
Yet, the majority of US Bank reviews, at 94.9% are still human-written in 2024 (as depicted in the pie chart above).
The majority of US Bank Reviews remaining human-written was a pleasant surprise, considering the implications of fake AI reviews.
The increasing use of synthetic content, as studied on other platforms such as Glassdoor, Canadian ‘Big 5’ Banks, and Canadian Online Banks, raises important concerns about trust, authenticity, and the ability of platforms to moderate and verify review integrity.
In sectors like banking, where customer sentiment directly influences institutional credibility and consumer behaviour, even a modest influx of artificial content could skew perception and undermine confidence.
The presence of AI-generated reviews for U.S. banks, even if moderate, signals a broader transformation in the way reputations are built and maintained in the digital age.
As AI tools become more embedded in everyday writing, stakeholders, including banks, regulators, and review platforms, must consider proactive measures to ensure transparency.
These may include disclosures for AI-assisted content, more robust detection models, and user education on responsible AI use.
Future research can expand on these findings by exploring the motivations behind AI-generated review creation, analyzing review sentiment and linguistic patterns, and comparing rates across industries.
Wondering whether a post or review you’re reading might be AI-generated? Use the Originality.ai AI detector to find out.
Read more about the impact of AI:
We gathered customer reviews from publicly available pages of various U.S. banks. This included both national and regional institutions to ensure broad coverage.
Custom web scrapers were used to extract relevant information. Each review was tagged with metadata such as the author, date, location, bank name, star rating, number of likes, and the full review text.
Once collected, the data was cleaned and duplicates were removed. This helped maintain consistency and ensured the dataset was representative.
To assess whether a review was AI-generated, we used the Originality.ai API. This tool provides a likelihood score between 0 and 1, indicating the probability that the content was generated by an AI model. Based on these scores, reviews with a likelihood score above a designated threshold (typically 0.5 or higher) were flagged as "AI-Generated."
Each score was saved alongside the review’s metadata for further analysis. This methodology is consistent with previous studies on AI-generated content in airline and retail reviews, ensuring consistency in how AI-generated material is identified and compared.
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!
We believe that it is crucial for AI content detectors reported accuracy to be open, transparent, and accountable. The reality is, each person seeking AI-detection services deserves to know which detector is the most accurate for their specific use case.
AI & Plagiarism Detector for Serious Content Publishers
(4.3/5 out of 460 reviews)
Originality.ai
64 Hurontario St
Collingwood, Ontario
L9Y 2L6
