Google AI Mode: what it is and how it can change SEO

Google is transforming the way we use its search engine.

For years, searching on Google meant entering a query, reviewing a list of results and visiting different pages to find the information we needed.

With Google AI Mode, this model is evolving toward a much more conversational experience, capable of analyzing complex questions, splitting them into different searches and combining information from different sources.

For SEO, the change is important because Google no longer just has to decide which page best answers a keyword. It can also interpret a complete question, search for related information and build an answer from different sources.

In this article I explain what Google AI Mode is, how it works and what it can mean for the future of web ranking. If you’re starting from scratch, begin with the roundup of 10 official data points from Google on SEO and AI.

What is Google AI Mode?

AI Mode is a Google search experience based on artificial intelligence that lets you make more complex queries and continue the conversation with follow-up questions.

Google introduced AI Mode in March 2025 as an experiment within Search. Since then, the company has been adding new capabilities related to reasoning, multimodal search, research, shopping and other tasks.

The fundamental difference from a traditional search lies in the way of interacting with the search engine.

Instead of just showing a list of results for a specific query, AI Mode can interpret a broader question and use different related searches to build an answer.

Google describes this experience as especially useful for questions that require exploration, comparison and reasoning. You can see the impact on search behavior in AI Mode searches, which are 3 times longer.

How does Google AI Mode work?

One of the keys to understanding AI Mode is a technology Google calls query fan-out.

The concept is relatively simple.

Instead of treating a query as a single search, Google can split it into different subtopics and launch several related searches.

For example, let’s imagine a user asks:

A traditional search would have trouble representing all that intent with a single keyword.

AI Mode can interpret different parts of the question and search for information related to:

• Itineraries in Japan.
• Flight and accommodation prices.
• Less touristy destinations.
• Japanese cuisine.
• October weather.
• Transportation between cities.
• Approximate budget.

Google explains that query fan-out lets it generate related queries about different subtopics and information sources to build a more complete answer.

AI Mode changes how a search is done

This is probably one of the most important changes from the user behavior standpoint.

A traditional search tends to be relatively short:

A search in AI Mode can contain much more information:

The difference isn’t simply in the number of words.

It’s in the amount of context, constraints and intent the query contains.

This can change how SEO professionals research user needs. If you want to dive deeper, check out how search intent is changing with AI Mode.

From keywords to complex questions

For a long time, SEO has been built around concepts like keywords, search volume and difficulty.

This data is still useful. You can review the basics in what a keyword is and how to choose keywords wisely.

But an AI-based search introduces an additional dimension: the context of the question.

A user can enter several conditions in a single query that they would previously have searched for separately.

That’s why a modern SEO strategy should analyze not only what words the user uses, but also:

• What problem they want to solve.
• What information they need before making a decision.
• What alternatives they’re considering.
• What constraints they have.
• What questions they might ask next.
• What information they’re missing to act.

What does this mean for SEO?

It doesn’t mean you have to abandon traditional ranking techniques.

In fact, Google says exactly the opposite.

In its official documentation, Google explains that recommended SEO practices are still relevant for AI Overviews and AI Mode. You can see the full analysis in does traditional SEO still work with artificial intelligence?.

There are no additional specific technical requirements to appear in these features.

A page should still be crawlable, indexable and eligible to appear in Google Search.

Also, Google recommends continuing to create useful, reliable and people-focused content.

Google AI Mode doesn’t remove links

There’s a fairly logical concern around generative search: if Google answers a question directly, why does the user need to visit a website?

But Google’s current vision isn’t about removing links.

AI Mode uses information from the web and shows links that let users keep investigating.

Google explains that its AI experiences can identify relevant pages during the generation of answers and show links associated with the information presented.

Also, in 2026 Google has continued to add new ways of discovering websites, including contextual links and previews of certain pages within its generative experiences. You can see more data in organic traffic and Google: what’s happening with AI.

So, what type of pages can benefit?

Here an especially interesting question arises for SEO professionals.

When a query is split into different subtopics, a page can be relevant to a specific part of the answer even if it isn’t necessarily the number one result for the complete query.

This makes it especially interesting to create content that answers deeply to specific questions.

For example, a travel website could have:

• A general guide about Japan.
• A guide about Japan in October.
• A guide about budget.
• A food guide.
• An article about transportation.
• 7-, 10- and 15-day itineraries.
• A comparison of cities.

Each page answers a specific need, but all are part of a related topical architecture. A good SEO content plan in 5 steps helps design this type of structure.

Topical architecture gains importance

If Google can explore different subtopics to answer a query, a website’s architecture becomes even more important.

Internal links help Google discover and understand the relationship between different pages.

They also help the user continue their investigation.

In this series of articles, for example, you can keep reading:

• AI Overviews and their impact on SEO
• AI Mode searches are 3 times longer
• How search intent is changing with AI Mode
• Multimodal search on Google: voice, images and SEO

AI Mode and content that solves complete problems

One of the most interesting consequences of this evolution is that content may have to answer more than one question.

Imagine someone searches for:

A superficial answer could explain what ecommerce SEO is.

A genuinely useful answer could cover:

• Category architecture.
• Product pages.
• Internal links.
• Structured data.
• Cannibalizations.
• Technical SEO.
• Informational content.
• Google Merchant Center.
• Search Console measurement.
• Conversion.

The second page has a clear advantage: it solves a much larger part of the user’s problem. This approach connects with SEO and GEO content that ranks and converts.

Original information can be even more important

Artificial intelligence can synthesize large amounts of information.

This increases the value of what isn’t easy to find repeated on hundreds of pages.

Google recommends creating unique and useful content that provides differential value. This principle connects with the criteria of E-E-A-T: experience, authority and trust on Google.

For a business, this can mean publishing:

• Client cases.
• Your own data.
• Experiments.
• Results.
• Comparisons you carried out yourself.
• Screenshots.
• Internal processes.
• Opinions based on professional experience.

In other words: it’s not about writing more, but about having something to say.

AI Mode is also multimodal

AI Mode isn’t limited to text.

Google has added capabilities that let you use images as a starting point for a search.

The user can show an image and ask questions about what appears in it.

Google explains that AI Mode can use Google Lens and Gemini capabilities to interpret objects, materials, colors, shapes and relationships between different elements of an image.

This has interesting implications for image SEO. You can expand on the topic in multimodal search on Google: voice, images and SEO.

Images on a website should have a real purpose and be properly related to the content around them.

Voice search also comes into AI Mode

Google is also developing conversational search experiences through voice.

In Search Live, for example, the user can hold a conversation with Search and ask follow-up questions.

The company explains that these experiences use query fan-out to find a broader and more diverse set of web content.

This reinforces a trend we already know: queries can be increasingly more natural and conversational.

Do I need to optimize specifically for AI Mode?

Here it’s worth being careful with many of the recommendations floating around the internet.

Google states that there’s no special optimization needed to appear in AI Mode.

Nor do you need to create specific files so an AI can understand your page or implement a special Schema exclusively for AI Mode. You can review what’s worth having in how to create robots.txt and sitemap XML correctly.

The foundation remains SEO.

Google recommends:

• Allow crawling.
• Achieve correct indexing.
• Create useful content.
• Use internal links.
• Offer good page experience (Core Web Vitals: what they are and how to improve them).
• Keep important information in textual format.
• Use quality images and videos when they add value.
• Make structured data match the visible content (check that the schema works).

These recommendations appear directly in Google’s Search Central documentation.

And what about GEO and AEO?

In recent years, terms like GEO, AEO and other concepts related to optimizing for generative engines have appeared.

These terms can be useful to describe certain services or areas of work.

But Google makes an important clarification: from its perspective, optimizing for its generative experiences is still a part of optimization for Search.

That’s why it wouldn’t make much sense to abandon a solid SEO strategy to chase supposed GEO tricks.

You can expand on this difference in my article: SEO vs GEO vs AEO: real differences in 2026.

What should an SEO professional do now?

If you work in SEO, you don’t need to redo your entire strategy because AI Mode exists.

It is worth reviewing a few points.

AI Mode doesn’t mean the end of organic results

It’s easy to think that AI will end up replacing traditional results.

But the evolution Google is showing is a bit more complex.

AI Mode combines artificial intelligence models with Google’s information and search systems.

The company itself explains that these experiences can find a broader and more diverse set of relevant links while building the answers.

That’s why for a website it’s not just about appearing in a specific position.

It’s also about being a relevant source that Google can discover, understand and use when answering a specific need.

Conclusion: AI Mode changes search, it doesn’t eliminate SEO

Google AI Mode represents an important evolution of Search.

Queries can be more complex. The user can hold a conversation. Searches can combine text, voice and images. And Google can split a question into different subqueries to investigate multiple aspects.

For SEO, this represents an important change in how to think about content.

It’s no longer enough to ask ourselves what keyword we want to rank for.

We need to understand what problem the user is trying to solve, what information they need and what content can bring something genuinely useful to that investigation.

And there’s an especially important conclusion: Google isn’t saying that we have to abandon SEO to adapt to AI.

It’s saying that the foundations of SEO remain fundamental. You can review them from scratch in what SEO is and why it’s still the foundation of everything or see how to optimize your website for AI (GEO).

The difference is that now those foundations participate in a much more complex search experience.

Written by

Alex Figueiras

Freelance SEO consultant in Valencia · WordPress + Elementor + Rank Math

I help local businesses and SMEs rank on Google with technical audits, on-page SEO and content that converts. More than 40 projects audited and cases measured in sectors such as renovations, training and ecommerce.

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