AI Mode searches are 3 times longer: what does this mean for SEO?

The way people search on Google is changing.

For years, searches have been dominated by relatively short queries: two, three, four or five words that tried to summarise a need.

With the arrival of artificial intelligence, users can explain much better what they need.

And Google already has data showing this change.

In May 2026, Google reported that the average search performed in AI Mode was approximately three times longer than a traditional Google Search query.

This data point is much more important than it may seem.

It’s not simply that people are typing more words. It’s that they are using Google to pose more complex, specific and contextual problems.

And that has direct consequences for SEO. If you’re starting from scratch, begin with the roundup of 10 official Google data points on SEO and AI and Google AI Mode: what it is and how it changes SEO.

The Google data point: queries three times longer

In May 2026, Google published an analysis of how user behaviour is changing with AI Mode.

One of the most notable data points was precisely the length of queries.

Google also explains that users are using AI Mode for exploratory questions, open-ended issues and more complex tasks, such as comparing products, learning how to do something or planning a trip.

In the UK, Google has also noted that the first users of AI Mode asked questions two or three times longer than traditional queries.

Why are searches longer?

The simplest explanation is that AI Mode allows users to express themselves in a much more natural way.

In a traditional search, many people tried to reduce their question to a few words to find results.

For example:

With AI Mode, the query can become something like:

Both searches are related to running shoes.

But the second contains much more information:

• Age.
• Training frequency.
• Weekly distance.
• Surface.
• Type of training.
• Budget.
• Specific need.
• Final question.

The intent is much more explicit.

Users no longer have to talk like a machine

This change has an interesting consequence.

For years, users learned to search using words they thought Google would understand better.

In a way, they had to translate their need into a query.

Conversational search allows them to do practically the opposite.

Users can explain their problem just as they would when speaking to another person.

This helps Google understand the context and allows the answer to be more specific.

Google explains that AI Mode is specifically designed for queries that require exploration, reasoning or complex comparisons.

Search intent becomes more precise

This is probably the most important point for SEO. You can see the full context in how search intent is changing with AI Mode.

A keyword can have several intents.

For example:

could mean that a person wants to:

• Find a free course.
• Compare courses.
• Find in-person training.
• Learn SEO from scratch.
• Get a certification.
• Find an advanced course.

The keyword alone doesn’t tell us exactly what the need is.

However, a long query can specify it:

Here the intent is much clearer.

This changes how you research keywords

Keywords are still useful. You can review the basics in what a keyword is and how to choose keywords with criteria.

There’s no point abandoning them.

But they can stop being the only starting point for a content strategy.

In addition to search volume, we should analyse:

• Complete questions.
• Specific problems.
• Constraints.
• Comparisons.
• Objections.
• Follow-up needs.
• Use contexts.
• Stages of the decision process.

The question is no longer only:

It’s also:

Google is also receiving follow-up questions

Long queries are not the only change.

AI Mode allows you to continue an investigation with follow-up questions.

For example:

• «Which laptop should I buy for video editing?»
• «Which one has better battery life?»
• «What if my budget drops to £1,000?»
• «Which one weighs less?»

Users don’t need to start from scratch with each query.

The conversation maintains part of the context.

For SEO, this means that a single need can generate different related questions.

A good content strategy should try to cover that complete journey. A good SEO content plan in 5 steps helps you structure it.

From keyword to user journey

Imagine you have a website specialising in SEO.

A traditional strategy might create one article for each keyword:

• What is SEO.
• How to do SEO.
• Technical SEO.
• On-page SEO.
• Local SEO.

A problem-oriented strategy can organise content in another way.

For example:

• How to get organic traffic for a new website.
• How to detect why a page isn’t ranking.
• How to improve an ecommerce category.
• How to analyse a traffic drop.
• How to create an SEO architecture.

The second structure is closer to the tasks a person actually wants to complete. This approach is aligned with website optimisation for AI (GEO).

AI Mode can perform more complex searches

A traditional query usually returns relatively independent results.

AI Mode can use different related searches to investigate different aspects of a question.

Google calls this process query fan-out.

The official documentation explains that the system can generate several related queries about subtopics and data sources to develop an answer.

This has an interesting consequence.

A page can be relevant to a specific part of an investigation even if it’s not the page that best answers the complete query.

What does this mean for SEO architecture?

This is where one of the most important areas of SEO comes into play: content architecture.

If a website has a single general page about a topic, it can be difficult to cover all the needs of a user.

Instead, a topic architecture can divide knowledge into different connected pages.

For example, on a website about artificial intelligence and SEO:

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

Each page covers a different need, but they’re all connected within the same topic. If you want to reinforce this part, review the complete on-page SEO guide.

Long content doesn’t mean writing for the sake of it

There’s an important conclusion worth avoiding.

If searches are three times longer, that doesn’t mean articles have to be three times longer.

There’s no direct relationship between the length of a query and the ideal length of a page.

A query can contain many words and need a relatively simple answer.

And a short query can need an extensive explanation.

The important thing is that the content answers the need.

Google recommends focusing on creating unique, useful and satisfying content for people, especially because AI experiences allow longer and more specific questions. This principle connects with the criteria of E-E-A-T: experience, authority and trust in Google.

What should really change in your content

Instead of trying to artificially increase the length of your articles, you can improve their depth.

A good page can include:

• A quick answer at the start.
• Context.
• Explanations.
• Examples.
• Comparisons.
• Advantages and limitations.
• Frequently asked questions.
• Real cases.
• Implementation steps.
• Links to related resources.

This way, the content can answer both the initial question and the following doubts. Here are some ideas on SEO and GEO content that ranks and converts.

Original information gains importance

When searches become more complex, the importance of having information that adds something different also increases.

Google recommends creating original content with unique value for the user.

This is especially important in sectors where hundreds of pages repeat exactly the same information.

What can you contribute?

• Professional experience.
• Your own results.
• Experiments.
• Data.
• Client cases.
• Screenshots.
• Processes.
• Personally conducted comparisons.
• Mistakes and learnings.

Artificial intelligence can generate a generic explanation.

Your experience can provide context that doesn’t appear on other pages.

Long queries can also have more intent

Another interesting point is the relationship between length and intent.

A very specific query can reveal that the user is in an advanced stage of their decision process.

For example:

This search has a much clearer commercial intent than:

That’s why search volume shouldn’t be the only metric used to decide what content to create.

How to adapt an SEO strategy to complex queries

Should you create a page for every long question?

No.

Creating thousands of pages to try to cover all possible combinations of a query would be a useless strategy.

A single page can answer many variations of a need.

The important thing is to identify the common needs that exist behind different queries.

For example, a hundred different queries might actually be looking for the same thing: choosing an SEO tool for a small business.

In that case, it probably makes more sense to create a really complete page about how to choose that tool than to create a hundred nearly identical articles.

Google doesn’t recommend special optimisation for AI Mode

This point deserves to be highlighted.

Google indicates that fundamental SEO practices remain relevant for AI Mode. You can see the complete analysis in is traditional SEO still working with artificial intelligence?.

There’s no need to create special markup to appear.

Nor is there a mandatory content format.

Google recommends applying the same SEO basics: useful content, crawlability, indexing, internal links, good page experience, accessible textual content and structured information consistent with the visible content.

And how can we measure this change?

An evolution is also taking place here.

In 2026, Google launched new generative AI performance reports in Search Console to analyse the visibility of sites within features such as AI Overviews and AI Mode. Since 31 August 2026, Google indicates that these reports are available for all websites worldwide.

This allows you to complement traditional Search Console analysis with specific information about visibility in generative experiences.

You can explore this issue further in: Search Console and visibility in generative AI.

Long searches also change commercial content

This change doesn’t only affect informational articles.

It can also affect service pages and ecommerce.

A user can use a long query to specify exactly what they need before reaching a decision.

For example:

A generic service page may answer this need worse than a page that clearly explains:

• Who the service is for.
• What problems it solves.
• How the work is done.
• What processes are used.
• What results can be measured.
• What information the client needs.
• What differences exist compared to other alternatives.

A new way of thinking about SEO

The fact that AI Mode searches are three times longer doesn’t mean keywords have ceased to exist.

It means that a search can express much more intent in a single query.

And that forces us to think about the user in a more complete way.

It’s no longer enough to know the word they type.

We have to understand:

• What they want to achieve.
• Why they need it.
• What constraints they have.
• What alternatives they’re considering.
• What doubts they’ll have afterwards.
• What information they need to make a decision.

It’s an approach that fits with the principles of AI optimisation (GEO) and with the differences between SEO, GEO and AEO.

Conclusion

The fact that AI Mode searches are approximately three times longer than traditional searches is a sign that Google is evolving towards a much more conversational experience oriented towards complex tasks.

For SEO, the most important consequence is not that we have to write longer articles.

It’s that we must create content capable of answering more complete and specific needs.

The strategy should progressively move from thinking only about keywords to thinking about problems, context, intent and the user journey.

And this fits with Google’s own documentation: fundamental SEO practices remain relevant for AI Mode, while useful, original and people-centred content continues to be the foundation. You can review it from scratch in what SEO is and why it remains the foundation of everything.

In short, we don’t need to write for an AI.

We need to understand people better and create content capable of answering increasingly complex questions.

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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