Copywriters have encountered the same text requirements at least once in their careers: “Uniqueness according to Text.ru – strictly 100%, shingle – 3%, spam – up to 40%.” Even today, some assignments contain this outdated requirement. It seems logical: the anti-plagiarism algorithm shows the desired results, meaning the article is new and has no equivalents online. Given this, the search engine is simply obliged to push it to the top of the search results.
But it’s already 2026. Websites are overflowing with “unique content,” but they don’t always rank high. Some of this content remains unknown to readers and leaves much to be desired. Under these circumstances, the fact that texts citing laws rank high seems incredible.
Now the question comes to the fore: what is more important – technical parameters or usefulness – and why Google’s algorithms have become smarter than anti-plagiarism services. Now, 100% uniqueness doesn’t guarantee anything; it simply reflects the presence of matches with other articles. Or does it? We’ll try to figure this out together.
Understanding the scale of these misconceptions is helped by distinguishing between technical and semantic uniqueness. What does the anti-plagiarism system do? It breaks the text into parts (shingles) and compares them with what’s written on indexed pages. If there are matches, the score decreases.
If you replace the word “buy” with “acquire,” the uniqueness increases. But the essence remains the same. Several conclusions can be drawn from this. First, technical uniqueness simply means the absence of direct copy-paste. Second, the anti-plagiarism system no longer has “hidden properties.” The algorithm is completely indifferent to:
The result of the race for the coveted 100 is the birth of “water rewriting.” This is a synonymization of an article, in which terms are replaced with complex constructions. Furthermore, it answers the question, “What is semantic duplication, and how do search engines penalize trivial paraphrasing?” Such text becomes unique only for the exchange, while a user loses the essence after the second sentence. This means that such an article will not rank highly.
Google no longer perceives text as a collection of letters and keywords. Upgrades—vectors and usefulness—are now playing an active role in article evaluation. Neural networks are even used to form an “opinion.”
The primary criterion now is the usefulness of the content. The algorithm tries to understand whether the material solves the user’s problem. Information gain is assessed by how much new and unique data is added to what the search engine already knows.
Four pillars of modern ranking that are more important than shingle
While the Text.ru robot evaluates form, Google evaluates substance and context. For a page to rank highly, it must meet completely different metrics:
The bounce rate rises, and time on site drops. The search engine will quickly push such a site to the bottom, no matter how much Text.ru praises the author.
What does the user get on your page besides text? A convenient pricing comparison table? An interactive ROI calculator? A step-by-step infographic checklist? Google perfectly recognizes the added value of content as a key ranking factor. It compels users to linger on the page and interact with it, which provides a colossal boost in rankings.
If you want your articles to attract organic traffic to Google, you need to fundamentally change your approach to writing specifications and evaluating texts. Stop bullying authors about achieving 94% uniqueness instead of 100%.
Here’s a checklist for creating content that search engines will love:
Why does chasing percentages on the stock exchange ruin the author’s natural writing? Because numbers aren’t always important. Check your text with anti-plagiarism software last, and don’t overdo it. If the uniqueness is 85-90%, but the drop is due to common terms, names of laws, formulas, or expert quotes, leave the text alone. Trying to push it to 100% will kill its expert value to Google.
