Google has long been using artificial intelligence to change the way we search the internetAnd one of the most powerful experiments in that direction is Web Guide, available within Search Labs. It's an experience that breaks with the classic list of links, presenting information in thematic blocks that are much easier to explore.
If you tend to do long searches, ask complex questions, or research topics with many nuancesWeb Guide can become your best ally: instead of forcing you to open a thousand tabs, it organizes the web for you, groups related results, and shows you perspectives you may not have even considered. Let's see exactly what it is, how it works, how to activate it, and, incidentally, what implications all this has for SEO.
What is Web Guide from Google Search Labs?
Web Guide is an experimental search feature that replaces the traditional "10 blue links" list with AI-generated thematic groups.Instead of showing you just a linear ranking, it reorders the results into blocks based on different aspects of your query.
These thematic blocks are built using a customized version of Gemini, Google's AI model.It analyzes both what you write and the content of related web pages. The idea is that you can navigate a complex topic as if you had an interactive index in front of you, and not just a string of unstructured links.
Google explains that Web Guide is able to highlight pages that might not rank well in a classic search, including old pagesBecause AI is better able to understand what each piece of content is about and how it fits into the whole. In this way, not only the pure ranking gains relevance, but also the relationship between pieces of content within the same topic.
Currently, Web Guide is only available as an experiment within Search Labs and appears in the “Web” tab. when it's activated. Google has already confirmed, however, that it will gradually extend this organizational method to other sections, including the "All" tab, where general results are displayed.
How Web Guide works: AI and parallel searches
The key to Web Guide is that it doesn't do just one search, but many at once.Instead of limiting yourself to your exact question, use a technique known as query fan out (or fan query) to launch several related subqueries in parallel and then group the results.
Imagine you type into Google “travel to London at Christmas”With a classic search, you'd see a more or less varied list: guides, blogs, agencies, news... With Web Guide, AI breaks down that search intent into parts and can show you blocks like:
- Recommended accommodations in London around that time.
- Information about how Christmas is celebrated in London, events and atmosphere.
- Plans, activities and tourist routes specific to that time.
- Typical shopping ideas and Christmas markets in the city.
Each block groups links that fit with that specific subtopicAnd you can enter the one that interests you most at any given time, without having to redo the search or manually refine the query.
What is query fan-out and why is it so important?
The query fan-out technique is the one behind Web Guide, as well as AI Overviews and AI Mode.Basically, it allows Google to break down a complex question into several smaller, more specific questions.
The process, simply put, works in four main steps.First, the original query is analyzed to identify all the aspects it can encompass (places, actions, needs, entities involved, etc.); then, more specific sub-queries are generated; next, all these searches are launched at the same time; and finally, the results are compiled and synthesized into a coherent structure.
This strategy allows Google to cover many more angles of the same topic without forcing you to do all those searches manually.That's why, when Web Guide comes into play, you tend to see more complete answers, with different approaches and content that also answers "questions you haven't even asked yet."
From a user experience perspective, query fan-out makes the search feel more like a prolonged conversation.You ask an initial question and the system anticipates the next ones that will probably come, organizing everything useful on the web into easy-to-navigate blocks.
Another important effect is that the search becomes much less dependent on the immediate clickMuch of the useful information is already structured within the search engine's interface, making better use of the content and reducing the need to bounce from tab to tab.
How does query fan-out affect SEO and content creation?
For SEO, query fan-out is a game-changer: it's no longer just about "ranking a page" but about fitting well within a set of subqueries.Your content no longer competes solely for an exact keyword, but rather to be the best answer for a specific aspect of a broader topic.
This necessitates working with much more structured, modular, and in-depth content.Each block of text (each H2 or H3, each section) should function almost as a complete mini-answer to a specific question. The AI needs to be able to extract that fragment and understand it on its own.
Optimization by entities and concepts, beyond exact keywords, is also gaining importance.Mentioning places, brands, technologies, relevant people, dates, or verifiable facts helps the algorithm better understand what you're talking about and how your content fits into the knowledge "map" that Gemini manages.
In this context, the famous EEAT (Experience, Expertise, Authority and Trust) becomes even more crucial.Google wants to rely on reliable sources to feed both Web Guide and AI generative experiences, so citing sources, providing real cases, verified data, or practical experience makes all the difference.
In practice, if your content isn't prepared to be broken down, reused, and cited by AI, it's as if it doesn't exist.For example, if you're dealing with the topic of "travel to London," it makes sense to also answer questions like "flights to London," "where to stay," "how to get from Heathrow to the city center," or "what to visit" within the same content environment, instead of just sticking to a generic and superficial text.
When is Web Guide most useful to the user?
Google points to two major scenarios in which Web Guide particularly shines.: exploratory searches and multi-part or multi-layered queries.
In exploratory searches, where you're not entirely sure what you want or you're starting a new topicWeb Guide acts as a kind of map. If you type something like “how to travel alone in Japan,” the tool can organize the results into sections like this:
- Transportation within Japan and recommended types of banknotes.
- Accommodation for solo travelersfrom hostels to capsule hotels.
- Culture, etiquette and basic rules not to screw up.
- Must-see places and suggested routes for a first trip.
Its usefulness is also noticeable in consultations with multiple parties, when you mix practical, emotional, and technological problems.For example, with something like "how to stay close to family in different time zones", AI could group results into blocks such as tools for coordinating meetings, video call apps, tips for long-distance relationships, or ideas for sharing moments online.
In both cases, the added value is not giving you a single short answer, but offering you a comprehensive and organized overview of the topic.Instead of receiving a single sentence or a closed answer, Web Guide shows you the content "landscape" so you can delve deeper where you're truly interested.
Differences between Web Guide and Google's AI Mode
Although Web Guide and AI Mode share basic technology (Gemini and the use of query fan-out), their purpose is quite differentUnderstanding that difference helps you know when it's in your best interest to use each one.
Web Guide focuses on reorganizing and grouping existing web pagesIt doesn't invent new content or write long answers on its own, but rather organizes what's already on the web and presents it to you in a thematic and navigable way.
AI Mode, on the other hand, is more geared towards generating conversational responses.It takes information from multiple sources, synthesizes it, and returns it to you in chat-like text format, with the possibility of continuing to ask questions and delve deeper as if you were talking to an assistant.
In short: Web Guide improves the presentation and exploration of results, while AI Mode changes how answers are generated.One helps you navigate the web; the other summarizes and gives you the "short version" of what is known about a topic.
Classic Search vs. Web Guide
Traditional searches have relied on lists ordered by relevance and keyword matchingYou write a query, the algorithm scores the pages and shows you a ranking, almost always linear.
With Web Guide, the focus shifts from the keyword to search intent and the different angles from which it can be approachedInstead of a single column of results, you see thematic “layers”: tutorials, personal experiences, tools, opinions, comparisons… depending on what best fits your question.
This reduces the need to perform a thousand small, chained searches.Because the system itself already does the work of branching and classifying. The goal isn't so much to show you the classic "top 10," but rather to make it easier for you to quickly find the type of information you need within a much broader universe.
For content creators, this means that falling out of the top 3 doesn't mean being completely off the map.An article can gain visibility within a specific block even if it is not first in the overall ranking, as long as it provides real value to one of the subtopics that AI has identified.
The role of Search Labs and how experiments are managed
Web Guide is part of Search Labs, Google's program where search experiences are tested in very early stages.Labs allows users who meet certain requirements to activate experiments, use them in their daily lives, and send feedback to improve them.
The quality and availability of these experiments may vary over time.because they are literally a "laboratory": they are adjusted, expanded to more countries and languages, or even shut down if Google decides they are not working as expected.
From the Labs page you can see all available experiments, activate them, deactivate them, and in some cases, join a waiting listWhen you sign up for an experiment, Google will notify you by email when it becomes available, provided you have agreed to receive communications about it.
Not all account types have access to these experimentsFor example, Google Workspace for Education accounts have additional restrictions: Google wants to ensure that administrators, teachers, and educational leaders fully understand generative AI tools and can decide how to use them with children, with time to test them beforehand.
Each experiment usually has an estimated completion date visible on its card within Labs.Although that date may change. One example was the code suggestion experiment, which ended, but whose learning was repurposed in the AI Overviews to answer programming queries directly from search.
How to activate and use Web Guide in Google Search Labs
If you want to try Web Guide, the first thing you need is access to Search Labs in your country and language.Availability is gradually expanding outside the United States, but it's not everywhere yet.
Once you have Labs active, you can follow these basic steps from your computer.Open any browser, make sure you are logged in with your Google account (and not in incognito mode), open a new tab and click on the Labs icon that appears at the top.
Within Labs you will see a list of experiments, including Web Guide if it is available for your accountClick Activate to turn it on. Many cards have options like "Try an example" to understand how it works, or links to more information about each experiment.
In some cases, you will be asked to join a waiting list first.If so, simply click on “Join the waitlist” and wait for the confirmation email when it's your turn. Waiting times vary, and Google doesn't provide specific dates.
When Web Guide is active, its effect is most noticeable in the "Web" tab of the search results.From there you can switch between the classic view and the AI-organized view, and also turn off the experiment at any time if you prefer to return to the usual format.
Impact of Web Guide on companies, creators, and SEO professionals
For companies and brands, Web Guide means rethinking digital strategy beyond simply “being at the top of Google”Now, how well your pages fit within thematic groups matters as much as, or even more than, their exact position in a flat list.
Websites with well-connected content that cover a topic from multiple perspectives have an advantage.It is not enough to have a single generic post; it is advisable to build authentic content clusters: complete guides, specific articles, FAQs, case studies, comparisons, etc., all interrelated.
For SEO consultants, this means moving from a keyword + backlink-centric view to a much more holistic approach based on search intent and semantic relationships.Research is no longer just about detecting terms with volume, but about mapping all the facets around a broad topic.
The site's information architecture becomes criticalHow pages are linked to each other, how sections are organized, the depth of subject matter at each level... All of this helps AI understand that your website is a solid source for a specific set of sub-queries.
Furthermore, the progressive integration of AI-organized results into other Search tabs, including "All," makes it clear that this is no small experiment.This is the direction Google is heading: smarter, more contextual, and AI-driven search across almost every touchpoint.
In this new landscape dominated by Web Guide, AI Overviews, and AI Mode, search is becoming less like a list of links and more like a layer of intelligence between the user and the web.So the key to standing out is to create deep, well-structured content, rich in entities and easy for AI to understand, so that your pages can appear as useful pieces within those thematic groups that organize information for the user.