Processing YMYL queries by leading neural networks: interesting statistics

Processing YMYL queries by leading neural networks: interesting statistics

Today we can confidently say that we live in an era of extremely active development of artificial intelligence. It affects many areas of human activity, significantly simplifies a lot of work related to the collection, analysis and processing of data, generation of text and graphic content. Many chatbots today work on its basis, simplifying customer service, increasing the level of loyalty on their part, forming stable trust.

Recently, artificial intelligence has also become quite actively used in practice and in search. By the way, here it also demonstrates quite good results, providing the audience with the most accurate and relevant answers to their queries. But is everything here so high-quality and reliable? This question will be especially relevant when processing YMYL queries, that is, when working in those topics that have a direct impact on a person's health, well-being, and financial status. Does AI search work in such sensitive topics? It is important to understand that the smallest errors can cause serious harm to the user, prompting him to completely ill-considered and incorrect actions with unpredictable consequences.

This is exactly what we will try to understand in today's review. It will be based on a recent study conducted by SE Ranking. Within its framework, the work of three of the most famous and widely demanded neural networks today was tested, namely ChatGPT, Google AI Overviews (AIO), DeepSeek in relation to processing YMYL queries. As a result, we will be able to answer the question of which of these neural networks are safer. We will tell you which of the studied models gives the most objective results. We will highlight a number of key points that must be used by SEO specialists when working with YMYL sites. The information provided will allow you to navigate this issue in as much detail as possible and choose the most suitable tool for working with such sensitive and important user requests. Now let's talk about all this in order.

What are YMYL queries?

Before we move on to getting to know how popular neural networks process YMYL queries, it would be a good idea to get to know what they actually are. This is what will allow you to understand the importance of the task at hand and think again about the possibility of using artificial intelligence to solve it.

So, YMYL is an abbreviation for the expression Your Money or Your Life. Literally translated, this phrase sounds like “Your money or your life”. This term was first used by the Google search engine to identify Internet sites whose specifics, together with the information presented on them, can have a direct impact on people's health, their financial well-being, and well-being. As a result, the system places much higher demands on such resources in terms of expertise, content reliability, and quality. Thus, bright representatives of YMYL sites will be sites dedicated to such topics as:

  • Medicine. Here we include both directly commercial sites and blogs containing informational content about human health in general, diseases, technologies and methods of treatment, medicines.
  • Jurisprudence. Here we include everything that is related to legal services and individual issues, including information about legislative norms, requirements, the laws themselves, government services.
  • Finance, banking. YMYL sites include all those resources where advice and recommendations on lending, investing, insurance will be presented, as well as individual pages where the possibility of carrying out transactions is implemented.
  • Mass media. These may be news platforms whose activities are dedicated to covering economic, political, social events and other topics that may have a certain impact on the life of the audience.
  • Sales of goods, services. These are the platforms where the target audience can place orders for products, ultimately receiving a positive or negative user experience. By the way, the latter is possible if the quality and reliability of the information presented in the same online store is not given enough attention.

If you work in any of these niches, you should be prepared for the fact that search engines will make inflated demands on your platforms, namely on the content that you post on them.

Why is the YMYL principle so important?

The introduction of such a classification of sites as YMYL is one of the most balanced and reasonable decisions from the search engine. This is what makes Internet platforms truly reliable, trustworthy and safe for the audience. In particular, YMYL is this:

  1. Impeccable content quality. This means that users get access to truly reliable, accurate and useful information on particularly sensitive topics. Such that can have a direct impact on their physical, psycho-emotional health, financial well-being.
  2. High levels of trust from the audience. Here we are talking about the fact that a person who is even very deeply immersed in a given issue can assess the quality of the material, its reliability. If the audience trusts your publications, they will return to your site again and again, recommend it to their friends, acquaintances, and refer to it in their publications on third-party sites.
  3. Compliance with E-A-T criteria, namely - Expertise, Authoritativeness, Trustworthiness. These are Expertise, Authority, Reliability. The Google search engine introduced such parameters into practical use relatively recently as a basis for assessing the quality of content. And for YMYL sites they will be extremely important.

That is, we are talking about those sites that, in the opinion of search engines, should meet the highest standards of quality and reliability, because only in this way can they guarantee the safety of their visitors, their financial well-being, and health. Accordingly, we will classify all those queries that users will enter in such topics as health, finance, law, media, sales of goods and services as the YMYL category. Is it worth using artificial intelligence technologies when preparing responses to such requests from the target audience? The results of the study allow us to answer this question. About them — next.

Analyzing the research results

The entire process of analyzing the conducted research can be divided into 4 separate categories:

  1. Frequency of using artificial intelligence when answering YMYL queries.
  2. The length of the answer and the sources that were used to form it.
  3. The presence of facts and opinions in the answers.
  4. Features of AI search when answering questions on different topics.

We will now consider each of these points in more detail.

Frequency of using artificial intelligence when answering YMYL queries

How often neural networks provide answers to user queries from YMYL topics is one of the first questions that was studied. Thus, the results show that the Google search engine currently uses its own AI Overviews neural network in approximately 51% of cases. By the way, six months ago this figure was 50%. As you can see, there is practically no growth here. But if we talk about ChatGPT, then there are already responses to absolutely all such requests, and in DeepSeek this situation is observed in 90% of cases.

This allows us to confidently say that Google approaches its work more selectively, weighing the benefits and risks of using artificial intelligence when responding to certain requests. This phenomenon has shown itself most in topics related to politics. Out of 40 requests sent by the user, the system provided only one response generated by AI Overviews.

Answer length and sources used to generate it

When analyzing this issue, experts identified an interesting pattern. They noticed that different neural networks use their own approaches to structuring responses to YMYL queries. In particular, the following picture is observed:

  • Google AI Overviews provides the shortest answers. Most of them do not exceed 190 words in total. At the same time, an average of 7 sites are used as the primary source. But if you dig deeper, it becomes obvious that this AI model consists of almost 62% absolutely unique links.
  • ChatGPT. The answers of this neural network can be called moderately detailed. On average, they consist of 235 words, and about 10 sources are used to collect information. If we talk about unique links here, they will make up only 40%.
  • DeepSeek. This AI model generates the longest answers. Most of the finished material contains about 400 words. In addition, the number of sources here will also be the highest - an average of 28 per request. But the unique links indicator here is just over 32%.

This information allows us to conclude that even with the most compressed answers to YMYL queries, Google AI Overviews focuses not on the number of sources, but on their diversity and reliability.

Presence of facts and opinions in the answers

One of the most important tasks facing search using artificial intelligence technology is to ensure an optimal balance between real facts and, so to speak, subjective assessments. And here studies have shown that ChatGPT gives the most objective answers: 39% subjective assessments and 61% facts. Google AI Overviews takes second place here with 43% and 57% opinion and accurate information respectively. DeepSeek demonstrates the lowest indicators, namely 45% - subjective assessment and 55% - fact.

The difference is especially noticeable in political YMYL queries. Here, Google AI Overviews demonstrates the greatest objectivity with 25% subjective opinion and 75% fact. But in this topic, DeepSeek shows the worst indicators. Here, accurate information and opinion are divided approximately in half.

Features of AI search when answering questions on different topics

Another specific difference between the AI models we are considering is how they answer a particular topic of a YMYL query. The conducted research showed that there are different approaches of the platforms to processing user requests in a particular niche. In particular, the main points:

  • Medicine. Here, the most brief and one might even say cautious answers are given by ChatGPT. Moreover, a written disclaimer of liability for potential negative consequences of using the information provided is always provided here. This is a kind of protection against claims and definition of the boundaries of liability. Google AI Overviews responses are even more cautious and concise. They also contain warnings and disclaimers. DeepSeek provides the most detailed and comprehensive answers. It will also contain links to the sources of the information taken. In particular, neural networks mostly use such sites as wikipedia.org, healthline.com, webmd.com, goodrx.com, mayoclinic.org to search for the necessary medical information. If you consider yourself an expert in this subject, then you can understand how reliable the information presented on these sites is. We would like to draw your attention to such material as «Medical websites: what you need to know about their promotion». Here you will find a lot of useful information, which, among other things, will be useful when adapting sites to AI search.
  • Finance. If you analyze the responses from ChatGPT, then here not only data is provided, but a clear warning about the risks is clearly traced, an urgent recommendation to seek advice from specialists. Google AI Overviews in many situations related to requests for the feasibility of certain investments, making financial decisions completely avoids answering. But you can get general information here. DeepSeek provides fairly structured information, divided into separate categories, including numerical data. But is it worth relying on this if about half of all the answers are the AI's own conclusions based on certain facts? The most frequently used primary sources in financial topics are sites such as youtube.com, nerdwallet.com, forbes.com, cnbc.com, reddit.com.
  • Jurisprudence. Google AI Overviews provides fairly structured and clear information, but about 50% of its answers will be accompanied by disclaimers. If you turn to ChatGPT for help in this topic, you will receive structured information on legal topics. The most detailed answers with detailed explanations and examples from real practice are given by the DeepSeek AI model. Most often, neural networks take their source information from such sites as forbes.com, wikipedia.org, whitecase.com, nordvpn.com, avvo.com.

And one more thing that we would like to draw your attention to here is the influence of politics in general on the answers of AI models. In particular, this applies to the DeepSeek platform. This is a Chinese development that has its own specifics of work in certain areas. Studies have shown that there are serious limitations when answering questions related to politics. So, if you ask him to provide information about the Tiananmen site, want to talk about Taiwan, learn about human rights in China, then in some cases you may not get any answer at all. And on other political questions, very often the information is given that coincides with the official position of the Chinese government. That is, there will be no analysis of various sources and the formation of your own conclusions based on them.

Is it worth relying entirely on neural networks when working with YMYL queries? This is rather a rhetorical question and each of you must answer it for yourself. But we still strongly recommend that you analyze all this information additionally, not only for personal use, but also during SEO promotion of sites related to YMYL directions.

The Impact of AI Search on SEO when Working with YMYL Queries

The study we are talking about in today's review clearly showed that search using artificial intelligence technologies continues to actively develop today. Moreover, it is now clearly visible how significant an impact it has on search results in general. This means that SEO specialists who would like to ensure the most effective and stable promotion of the sites entrusted to them should take into account a number of current trends of our time, in particular:

  1. Today, getting a site into Google AI Overviews can rightfully be called a full-fledged ranking factor. The thing is that the search engine does not always display AI Overviews. But if your site does get here, it will become a pretty good source of additional traffic. But it is important to understand that only those sites whose content is truly high-quality can count on this. This means that your page should present expert-class material. It is important that it is structured, logically consistent, containing reliable facts, direct links to authoritative sources. It is also very important to maintain objectivity, not bias. Remember that we are talking about the YMYL niche, where there is no place for speculation.
  2. Be sure to pay attention to the disclaimer. Finance, politics, law, medicine - these are the areas that require extreme caution and attention. Here it is important for you to provide such information that would be of an exclusively informational nature. Moreover, it is important to remind the audience each time that you do not take responsibility for potential negative consequences associated with the use of the information provided. By doing so, you will not only legally absolve yourself of responsibility, but also increase the chances of your site getting into AI search.
  3. AI search engines have a positive attitude towards various content formats. It is in your interests to make your content such that it meets the modern requirements of AI models. So, if we talk about Google AI Overviews, then here unique materials are mainly selected as sources. ChatGPT relies on articles with a structured presentation. But DeepSeek chooses deeper and more detailed materials for analysis and selection of information. To get into the AI search of each of these models, you will need to adapt your site to their requests. Ideally, the content on your site should be deep, detailed, structured and unique. This is the secret to success that will allow you to ensure maximum visibility in AI search.
  4. Try to avoid political content. Even if you work in this niche, you should initially understand that the risk of promotion in AI search will be very high here. We have already said that DeepSeek completely avoids certain topics, and even gives answers to them based on official Chinese sources. Limited answers are also observed from Google AI Overviews. In any case, you should understand that artificial intelligence is highly likely to filter such content, especially if it contains subjective opinions. Therefore, when working with materials on political topics, you will always be at risk for such promotion. Your only chance to minimize the negative consequences is this is to submit information without your own conclusions, following official statements with maximum accuracy.

If you use these recommendations, you will be able to achieve good positions in AI search results for your site, minimize potential risks. In any case, your materials should be as reliable and high-quality as possible, because these are some of the key requirements for YMYL content in general.

Summing up

If we summarize what we talked about in today's review and the study itself, then we can say with confidence that AI search is actively developing and this trend will become widespread in the foreseeable future. Therefore, it is very important for site owners and those who work on their promotion to understand this and take appropriate measures to ensure that your site gets the attention of modern AI models. Particular attention should be paid to those who work in the YMYL niche. Processing of such requests is carried out by different sites with their own specifics. In particular, the same Google AI Overviews relies on selectivity, ChatGPT focuses on universal solutions, and DeepSeek works on the depth of responses, but there are a number of serious political limitations here.

Therefore, it is safe to say that modern SEO specialists have faced another challenge. They must find individual solutions in order to optimize their content directly for AI search. But there is a universal solution here, which involves preparing exclusively high-quality, structured author's content containing reliable information, confirmed by links to authoritative sources. But it is also important to take into account the features of how a particular site processes material, what content formats it prefers to work with. That is, you will have to constantly balance, because this is the only way to avoid the most common problems and ensure stable and effective promotion of your site even in AI search.

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