Catch Insights on Text Relevance

Catch Insights on Text Relevance

I have written many times that I have gathered a test base for running tests on text relevance. And here is what we have confirmed so far:

1. Page adaptation to the top 10 matters. Even if your page ranks in different regions and the top differs in each region, you need to dynamically change the relevance to the top from which you need users. There are also long-tail queries that can change the top for the page — you need to adapt to that as well. We are currently developing a dynamic system for adapting the page to the top, so that pages can adjust on the fly to the required top.

2. If you are describing a product card, for example, an iron, you do not need to write about its properties; everyone writes about them. You need to seriously separate from the top and look at the product from a different angle. Take the same iron. Everyone writes about its properties. Approach it from another side and write something unique, for example, start with the history of the company, or how irons came to be.

3. Next is semantic SEO. Previously, SEO was not semantic; until 2025, we wrote texts randomly, not linking keywords with the rest of the content, just taking n-grams of keywords and throwing them on the page, and everything worked. Now, it turns out, you need to incorporate keywords and long-tails into the text in such a way that they do not result in watery texts and are connected with other words on the page

SEO specialists, this is dark humor