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.
The rise of AI-generated content has sparked concerns over the authenticity of online reviews, especially in industries where customer feedback is critical to consumer decision-making.
A recent study from Originality.ai revealed that AI-generated reviews on Amazon have skyrocketed by 400% since the launch of Chat-GPT. In fact, extreme reviews, which are categorized as five-star or one-star reviews, were more likely to be AI-generated.
Another industry that is highly dependent on customer reviews is the travel industry. Finding the right airline for your needs is absolutely critical, whether it’s because you have specific in-flight requirements or unique requests when you get to the airport. Flights are also high-ticket items, so it’s important for consumers to know they’re booking with a trustworthy company.
One way to be sure that your needs will be met is to head to review sites like Tripadvisor or AirlineQuality to see what other customers think of a particular airline before you fly with them. But can these airline reviews still be trusted?
At Originality.ai we are experts in AI detection with our models detecting AI-generated content at an accuracy rate of 99%. We used our proprietary tool to help consumers find out which airlines have the most AI-generated reviews and its impact on consumer trust and airline reputations.
Airline reviews play a key role in shaping consumer choices. However, with AI tools capable of generating realistic reviews, the line between authentic and artificially created feedback has blurred.
In just a matter of clicks, an experienced prompter can get a list of reviews generated, each with a unique (enough) tone and style to come across as a different “customer.”
John Gillham, CEO at Originality.ai, explains why humans struggle to spot AI content:
“Despite confidence in their own ability, humans tend to struggle to spot AI-generated content. A study revealed that experienced teachers only accurately identified 37.8% of AI texts. Which is why AI content detectors are so important. They’re significantly more effective than humans at identifying AI content.
“There are some significant implications of not being able to detect AI content, such as the spread of misinformation, academic dishonesty, and a lack of authenticity online.”
This has raised questions about the reliability of reviews on platforms like AirlineQuality, TripAdvisor, Google Reviews, and airline-specific portals. Airlines and consumers alike must now consider whether AI content is influencing perceptions of service quality and trustworthiness.
Our study analyzed the reviews of 10 airline carriers from around the world by looking at reviews from SkyTrax, a well-known platform where travelers leave reviews of their airline experiences. We then analyzed the reviews in our Originality.ai AI detector to find out if the reviews were AI-generated or human written.
Over the last 3 years, since the release of chatGPT, our analysis found that airline reviews that used AI-generated content increased by 189%.
Starting from 2017, the dataset shows that AI-generated reviews were relatively rare but began to increase steadily across multiple airlines.
The introduction of large language models like GPT-2 in 2019 and GPT-3 in 2020 likely contributed to a rise in AI-generated content as more advanced tools for generating text became widely available.
You can see this coming to fruition in the increased AI-generated review rates starting around 2020, with a noticeable uptick in reviews flagged as AI-generated for several airlines during this period.
The release of ChatGPT in late 2022 and ChatGPT-4 in 2023 coincides with even steeper growth in AI-generated review rates, suggesting that the advancements in AI capabilities had a direct impact on user-generated content or automated systems creating airline reviews.
This makes sense, given similar increases in AI content at this time, so it shouldn’t come as a surprise that the general trend filtered its way into the airline industry as well.
Based on the visualization above, several insights can be drawn about the evolution of AI-generated content in airline reviews across different airlines over the years.
In our study we analyzed specific airlines from all over the world to find out which ones have the most fake reviews and are potentially misleading customers.
In our study, ChinaSouthern has the most fake reviews overall, more than any other airline, with a rate of 32.4% AI-generated reviews. This shows that consumers who are trusting the reviews and potentially looking to buy a ticket from the airline are not informed enough to make a trusted decision. ChinaSouthern has a 3.5 star average rating on Tripadvisor.
From 2021 onwards, we observed notable increases in the AI-generated review rates for several airlines.
Interestingly, RyanAir and Emirates both saw a drop in AI-generated content in their reviews, which could suggest that both companies have decided to tackle the issue.
RyanAir had shown a moderate increase from 2017-2023 dropping from 11% in 2023 to 6.4% in 2024. This means that consumers can trust more recent reviews of the carrier. This could be down to the UK enacting policies on combating AI-generated fake reviews online.
Similarly, Emirates, had shown a rise from 0% in 2021 to 3.2% in 2024, peaking at 7.9% in 2023 before dropping back down to 3.2%, suggesting efforts to address fake reviews.
In 2024, SouthWest Airlines recorded an AI-generated review rate of 8.7%, marking it as the U.S. airline with the highest percentage of reviews generated by artificial intelligence.
Meanwhile, United Airlines saw the most significant surge in fake reviews over the past year, with an increase of 157%. This sharp uptick underscores potential challenges for United in managing its online reputation and ensuring that reviews reflect genuine customer experiences.
The significant presence of AI-generated reviews across airlines may prompt the industry to adopt more stringent verification measures, as travelers increasingly rely on online reviews when making booking decisions.
Next, let’s take a look at the impact that AI-generated reviews may have had on customer sentiment in the airline industry.
The sentiment graph above shows that across our major airlines, customer sentiment has seen a major decline by 90% from 2014-2024.
Below, we provide a visual representation of the average customer sentiment over time, allowing for an analysis of trends and fluctuations in customer feedback.
The blue data points represent individual days' median sentiment scores, with each point indicating the collective sentiment of reviews made on that day.
The green dashed line represents the Lowess smoothed line, which smooths out short-term variations and highlights longer-term trends. By comparing the individual data points with the smoothed line, you can identify both immediate shifts in sentiment as well as general patterns that might emerge over time.
When interpreting the sentiment graphs, a positive sentiment score (above zero) suggests generally favorable reviews, while a negative sentiment score (below zero) indicates dissatisfaction or negative feedback.
Sharp drops in sentiment might correspond to specific events (such as poor service incidents or flight cancellations), while more gradual changes could reflect broader shifts in customer perceptions over time.
If the green smoothed line shows a steady upward or downward trend, this indicates a sustained improvement or decline in customer satisfaction.
Looking closer at Air Canada, it’s easy to see a correlation between the increase in AI-generated reviews (3.0% in 2021 to 10.7% in 2024) and a drop in customer sentiment. Of course, other factors may have also influenced this, most notably the knock-on effects of COVID, but it is obvious from the data that more AI-generated reviews do not align with more positive experiences.
This situation is also similar for China Southern Airlines, which had a high AI-generated review rate of 12.9% in 2021, which peaked at 32.4% in 2023 While average customer sentiment only began to drop off in 2023, the range of sentiment drastically increased, with customers seemingly either loving or hating their experience with the brand.
Notable, AI-generated review rates have dropped to 18.8% in 2024, which will likely begin to reflect an increase in customer sentiment in 2025 as a result.
The correlation between increased AI-generated reviews and declining customer sentiment is much clearer for Delta. Once one of the most popular airlines in America, Delta's AI-generated reviews rose from 2.8% in 2021 to 9.7% in 2024, a 244% growth in total. At the same time, customer sentiment continued to drop from the highs of 2015 to the current lows of 2024.
Interestingly, Emirates went from having no AI-generated reviews in 2021 to 7.9% in 2023. However, after seeing the impact (or lack thereof) they had on customer sentiment, reducing that figure to 3.2% by 2024.
It’s important to note Qatar Airways was the only airline to remain operational during Covid, which explains the bump in sentiment seen during those years.
Despite that, Qatar Airways increased AI-generated reviews from 4.0% in 2021 to 10.4% in 2024. At that same time, customer sentiment dropped from the highs of 0.30 to 0.15.
Although RyanAir has never been the most popular of airlines, it interesting to see that their popularity has waned in the past decade, with some significantly poor customer sentiment scores in 2022/23. This timeframe also coincided with their highest percentage of AI reviews (11%), suggesting RyanAir may have been using this method to improve their scores.
It’s a very similar story for SouthWest Airlines, which has seen a consistent increase of AI-generated content, rising from 3.2% in 2021 to 8.7% in 2024, representing a 172% increase.
United Airlines, the airline with the overall lowest customer sentiment from this study, also showed a significant rise in AI-generated content, increasing from 2.5% in 2021 to 8.2% in 2024, without any major impact on the customer sentiment scores.
Spotting AI-generated reviews can be a minefield, especially as LLMs are becoming much better at mimicking human content online. In fact, multiple studies have shown that even humans who think they can detect AI content find it difficult to do so.
Jon Gillham, CEO of Originality.ai has laid out his top tips for spotting AI-generated reviews so consumers can make better choices online:
As you can see, each airline that shows an increase in AI-generated reviews also shows a downward trend in customer sentiment, suggesting that the service customers get from each airline is dropping year over year.
Of course, AI may not be the only reason for this, as there are several other mitigating factors, such as increased customer expectations, cuts in funding, and other elements.
However, a lack of authenticity and transparency in customer reviews will also be contributing to this decline as consumers become less and less trusting in these airlines and their authenticity.
One of the biggest influencers in airline choice (other than price) is brand loyalty, and this approach to AI-generated reviews could ultimately lead to some major brands losing their current market share.
To be sure that everything you are reading online is legitimate and human-written, be sure to check out the Originality.ai AI Detector.
How We Conducted the Study:
We used Originality.ai's API to detect AI-generated airline reviews by analyzing their content. Reviews with at least 50 words were scanned for an AI likelihood score and classified as AI-generated or not. We focused on the top 10 airlines by brand value, and visualized how AI-generated reviews changed over time, marking major AI model releases.
Sentiment Analysis:
We collected reviews from airlinequality.com, cleaned the data, and analyzed customer sentiment over time using TextBlob. Lowess smoothing helped highlight trends in customer satisfaction, with visualizations showing daily sentiment scores and overall trends. These insights are useful for tracking airline performance and satisfaction.
For raw data contact maddie@originality.ai
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!
Have you seen a thought leadership LinkedIn post and wondered if it was AI-generated or human-written? In this study, we looked at the impact of ChatGPT and generative AI tools on the volume of AI content that is being published on LinkedIn. These are our findings.
