The feeling that search has gotten worse is shared by many people, and it has grounds. There are more results that formally match the query while providing nothing. Pages answer the question in the title and do not answer it in the text. Search results are filled with the same large websites, while the specific useful answer you were looking for is becoming increasingly difficult to find. Let us look at why this is happening and what can be done about it in practice.

Why It Turned Out This Way

The position of the search engine itself is that the quality of the material matters, not the way it was created, and generated text is not automatically considered spam. The consequence of this position is predictable, since analyses show that generated content appears among the first results approximately as often as content written by a human. Two more factors are added to this. The first is that large websites with high authority push out independent sources, which means you see ten versions of the same general answer.

The second concerns the structure of the search results itself, which has changed because of the appearance of generated summaries and blocks that push ordinary results lower. That is, the problem is not that there is less information, but that the ratio of useful to empty content has shifted.

How to Recognize an Empty Page in Five Seconds

This is the most useful skill of all, since it saves most of the time.

Signs that a page can be closed immediately. The first paragraph restates your question instead of answering it. The text consists of general statements with no specific number, name, or example underneath. The advice applies to anyone, meaning there is nothing that relates specifically to your situation, country, or case. There is no author, or the author is listed as the editorial team with no information about it. There is no publication or update date. There is not a single link to a primary source. The structure consists of a large number of subheadings, with two sentences about nothing under each of them. The same set of points is repeated almost word for word in several different search results. The presence of two or three signs from this list means that there is no point in reading further.

Search Operators

This is the most effective tool, and most people do not use it. Quotation marks around a phrase search for an exact match, and this is the main way to filter out pages that simply contain the same words in different places.

The site operator allows you to search within a specific website or domain zone, and this is especially useful for official sources. A query restricted to the gov.ua domain zone gives state resources instead of retellings. A minus sign before a word excludes results containing it, and this is convenient for filtering out commercial pages using words such as buy or price when you need information, not a store. The filetype operator searches for documents of a specific format, which is useful for reports, instructions, and academic papers. The intitle operator limits the search to page titles. Date filters in search tools allow you to limit results to the last year or set your own range, and for any technical topics this is worth doing by default. Here a caveat is needed, since the set of working operators changes, and some of them stop working without announcements. Therefore, before relying on a specific operator, it is worth checking whether it currently gives the expected result.

Strategies That Work Better Than Operators

Search in communities, not in articles, when you need real experience. Adding the name of a forum or a large community to the query gives answers from people who have actually done something, instead of overview texts. This is especially noticeable for questions about whether it is worth buying something, why something does not work, and how someone solved your specific problem. Go directly to primary sources, since for many questions there is an official resource, and searching through it gives a more accurate answer than a retelling. State registers, manufacturers' documentation, legislation websites, databases of scientific publications. Formulate the query the way an answer would be written, not the way you ask the question. Instead of asking how much a certain procedure costs, search for the phrase that would be in a text containing the answer.

Use several search engines, since they index different things and rank them differently, and the result for the same query differs noticeably. Refine the query sequentially, that is, start broadly and add words that filter out what you do not need, instead of immediately writing a long sentence.

When to Search and When to Ask a Neural Network

These tools solve different tasks, and confusion between them costs time. Search is needed when you need a primary source, current data, an official document, or an exact figure that you can verify. A neural network is useful when you need to explain a concept, summarize what you have provided to it, choose wording, or get oriented in an unfamiliar topic before searching for specifics. The worst scenario is to ask a neural network about specific facts, figures, and links, since this is exactly where it invents things most often, as I wrote about separately. A smart combination looks like this. First, you find out in general terms what is worth searching for, and then you search for the specifics yourself using primary sources.

What to Do with the Summaries Above the Results

Generated answers at the top of the search results are convenient, but they have one feature. They provide a synthesized conclusion without a visible hierarchy of sources, because of which a retelling from a forum and an official document look equally significant.


Sources

Google Search Central blog on generated content, analytical materials on changes in search results in 2026, Google documentation on search operators