Google leaders shared new insights about the future of SEO during this week’s Google Search Central Conference in Madrid this week’s Google Search Central.
This report is based on full coverage of Alda Solis, who attended the event and noted the key points.
The program discussed the Google’s search relationship team, which includes John Muller, Daniel Weissberg, Moshe, and Eric Barbira.
Google’s LLM integration architecture revealed
Muller explained how Google uses a large language model (LLMS), a method that has increased recovery Generation (RAG), and grounding to make AI -powered search answers.
According to Muller’s slides, this process works in four stages:
- A user enters a question.
- Search engine information is available.
- This information is used to “ground” LLM.
- LLM produces a response with auxiliary links.
This system is designed to correct the answers and keep it connected to its sources, removing the concerns of AI-generated errors.
John explains how they connect LLM with search with search that works for AI’s review #Sclmadrid pic.twitter.com/ktmgazsu1x
– Alda Solice 🕊 (@Elida) 9 April 2025
AI’s features LO NO does not require any specific correction
Google made SEO professionals clear that no additional adaptation is needed for AI features.
Here are the main points:
- AI tools are still new and will continue to change.
- With the search for AI, the user’s behavior is still growing.
- AI data appears in search console with traditional search data.
- There is no separate error, as is the same as the significant pieces.
Google encourages reports of any unusual problems, but it is enough to stick to the best methods of your current SEO.
Google: No correction is necessary for the features of Google AI: they are very new, the user’s behavior is changing a lot, they have been kept in GSC but not broken. #Sclmadrid pic.twitter.com/vzgy4th1yu
– Alda Solice 🕊 (@Elida) 9 April 2025
Structural data in the world of AI
Despite the development of AI, structural data are important. During the conference, Google suggested that you should:
- Keep using the types of supported data.
- Check Google Documents for the right schemes.
- Understand that structural data makes computers easier to read and make their content.
Although AI can work with non -imposed data, the use of structural data gives you a clear advantage in search results.
Google still recommends using structural data in the AI search world – focusing on things that really appear in Serps. @Johnamo #Sclmadrid pic.twitter.com/it3mjrafc
– Alda Solice 🕊 (@Elida) 9 April 2025
Controlling AI-drive presentations of content
For site owners who are cautious how their content appears in the features of AI, Google describes numerous ways to overcome it:
- Use a robot
nosnippetTag out to opt out of AI review. - Add a meta tag
. - Wrap some material
. - Limit the amount of text shown with
.
These options work as a controlled control of traditional search pieces.
You can opt out of the AI review using Robot Nusanipat Configures because Google considers them to be searching for the search feature #Sclmadrid pic.twitter.com/ftqnba8dk4
– Alda Solice 🕊 (@Elida) 9 April 2025
Reporting and analytics for AI search
Google’s reporting point was also discussed.
According to Google’s slides combined by Solice:
- AI search data is included with the overall search console data.
- There is no separate report for AI features.
- Separate breaking AI’s data can cause more confusion for consumers.
- There is no plans to separate Gemini’s use separately due to privacy issues, though it may change if new samples are seen.
Question from Google: Will we be able to track the AI review through Google Search Consolel?
* How upset they are at this point, they will be more confused with help.
* With AIO you have nothing special, you just have a part of the search results. pic.twitter.com/Mnci7tkkmy
– Alda Solice 🕊 (@Elida) 9 April 2025
I asked Google whether there would be a console that would show data from the use of Gemini / search behavior to inform them of their effects and to overlaps with traditional search, especially with the integration of AI mode: This is not yet planned because of confidentiality in the other. pic.twitter.com/nx3noei0MB
– Alda Solice 🕊 (@Elida) 9 April 2025
llms.txt and future standards
There was a debate about a potential file called LLMS.Txt, which would work like robots dot TST but control the use of AI. Muller noted that this file “is only understood when the system does not know about your site.” (Para -frame)
The extra layer may be unnecessary because Google already has enough data about most sites. Google, Google, Google, Google, now uses a user agent token at Robots Dot TST, which does not affect the search rating.
.@Johnamo About LLMS.TXT: It is only understood when the system does not know about your site, so it may not be understood in a short period of time but does not expect Google to be kept in view as Google already has many data, which is the original content of the sites. … pic.twitter.com/Uedsgjbsbsys
– Alda Solice 🕊 (@Elida) 9 April 2025
SEO continuous compatibility in the AI -driven world
The conference made it clear that the main task of SEO is still very important. Key points include:
- Basic SEO works such as crawling, indexing, and content correction are left.
- AI tools add new capabilities to digital marketing rather than replaced old methods.
- SEO professionals can use their abilities in landscape.
This message is assuring: If you have strong basics of SEO, you can adapt to the new AI tools without fully eliminating your strategy.
What is the future of SEO with LLMS?
* SEO Basic Work: Currently, Independent Making… none of this is going away
* AI is not taking place of digital marketing, AI added further
* We have the opportunity to implement our experience in a new technology#Sclmadrid pic.twitter.com/egg7ihivc
– Alda Solice 🕊 (@Elida) 9 April 2025
The implications of the industry
Solice coverage shows that Google focuses on user needs by adding new features. The big message is to continue supplying standard content and solid technical foundations. Although AI brings new challenges, the purpose of serving consumers does not change.
There are some challenges, such as not having separate reports for the features of AI. However, since these features are strong, more exact data may be available soon.
For now, SEOs should continue to use structural data, following SEO’s proven methods, and maintaining new progress.
For more insights from the conference, see Full coverage On Solice’s website.
Featured picture: under the sky. Shutter stock
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