Google Web Guides explained – what they are and what they mean for your SEO

Google’s been testing something new. And for once, it might not be godawful news for website owners.

Web Guide is a Search Labs experiment that launched in July 2025, and it’s doing something different to the AI Overviews that have been hammering our click-through rates. Instead of generating an answer and keeping people on Google, Web Guide organises search results into themed clusters – and then actually sends people to your website. I know, right?

It’s still early days. The feature is only available to people who’ve opted into Search Labs, and it only appears in the “Web” tab rather than main search results. But if you want to understand where Google might be heading with search, this is worth paying attention to.

What is Google Web Guides?

Think of Web Guide as Google playing librarian rather than know-it-all.

When you search for something broad like “how to solo travel in Japan”, instead of the traditional list of ten blue links, you get themed sections. One cluster might focus on comprehensive guides, another on safety tips, another on personal experiences from travellers, and another on budget advice.

Each cluster has a short AI-generated introduction explaining what you’ll find there, followed by relevant links. The AI isn’t trying to answer your question directly – it’s trying to help you find the right resources for whatever aspect of the topic you’re interested in. (Does this ring any bells? Can we say “Helpful Content”?)

This is powered by a customised version of Google’s Gemini AI, but the key difference from AI Overviews is that Web Guide preserves the link-clicking experience. It’s organising the web rather than replacing it.

How Web Guides organise search results using query fan-out

(This is a lot more interesting than that headline makes it sound…)

When you type a search query, Google doesn’t just look for pages matching those exact words. It uses something called “query fan-out” – essentially asking “what else might this person want to know?”

You know I love an analogy, so imagine you’ve got a teenager who needs to revise for their GCSEs. You ask them to research the Industrial Revolution, but instead of just Googling “Industrial Revolution” and stopping there, they think about the question properly. They search for causes, key inventions, social impacts, important figures, and how it affected different industries. Then they organise what they find into neat categories.

That’s pretty much what Web Guide does. It breaks your query into sub-topics, runs searches for each of those, and then clusters the results into themed groups.

Dr. Pete Meyers at Moz has done some excellent work breaking down the different types of fan-out queries Google might use – everything from semantic variations to follow-up questions to comparison queries. If you want the technical deep-dive, his analysis is worth reading.

For our purposes, what matters is this: Google isn’t just looking at whether you rank for the main keyword anymore. It’s looking at whether your content is relevant to the sub-questions people might have.

How Web Guides is different from AI Overviews and AI Mode

This is the part where I get cautiously optimistic.

AI Overviews generate a synthesised answer at the top of search results. They pull information from various sources, mash it together, and present it as a direct response. Great for users who just want a quick answer. Rubbish for websites that want traffic, because why would anyone click through when Google’s already told them everything?

AI Mode takes this further with a conversational interface. You can have a back-and-forth chat with Google about your query, and it keeps synthesising answers. Again, useful for users, but it keeps them firmly inside Google’s ecosystem.

Web Guide does something fundamentally different. Yes, it uses AI to organise and introduce the results, but it’s still sending people to actual websites. The AI is curating, not replacing.

A study from Pew Research Center in July 2025 found that when AI Overviews appear, only 8% of searches result in someone clicking through to a website – compared to 15% when there’s no AI summary. That’s roughly half the click-through rate. Even worse, only 1% of users click on the source links actually cited within the AI Overview itself.

Web Guide, by contrast, preserves the link-clicking model rather than trying to answer everything directly, which might actually help smaller sites get discovered – because if your content is genuinely strong on a specific sub-topic, you could appear in a relevant cluster even if you’d never rank on page one for the broader keyword.

That’s a significant shift. Like, mahoosive.

What do Web Guides mean for SEO?

Let’s start with what doesn’t change: you still need to rank. Web Guide pulls from Google’s organic search results, so if you’re invisible in traditional search, you’ll be invisible in Web Guide too.

But what does change is how visibility works.

In the old model, ranking position 7 for a keyword meant you were probably getting scraps. In Web Guide, position 7 might appear as the top result in a specific cluster – the one that happens to match exactly what a particular user was looking for. Your content could be the first thing they see if it’s the best match for that specific sub-topic.

This has a few implications.

Topical authority becomes more valuable, not less. I’ve been banging on about this for a while – content and topic clustering isn’t dead in the AI era, it’s more important than ever. If your site demonstrates genuine expertise across multiple facets of a topic, you’re more likely to appear in multiple clusters. Sites that have one shallow page trying to cover everything will struggle.

You need to think about the questions behind the question. What sub-topics might someone searching for your main keyword also care about? What follow-up questions would they have? If you’re only answering the obvious query, you’re missing opportunities to appear in the fan-out results.

Your content structure matters more. Clear headings, logical organisation, and content that’s easy for AI to parse and categorise – these things help Google understand which cluster your page belongs in.

How to prepare your website for Web Guides

I’ll be putting together an in-depth strategy guide on this in 2026 once we’ve seen more data on how Web Guide performs. For now, here’s the short version.

• Build content that covers topics comprehensively. If you’re writing about “choosing accounting software for small businesses”, don’t just write one page. Consider the sub-questions: integration with existing systems, pricing comparisons, industry-specific features, migration from spreadsheets. Each of these could be a page in its own right, linked together properly.
  
  This isn’t about churning out thin content to cover every possible keyword. It’s about genuinely addressing the different angles your audience might care about. Quality still wins.

• Make sure your pages are clearly focused. If a page tries to cover too many sub-topics at once, Google might struggle to categorise it properly. Better to have focused pages that slot neatly into a relevant cluster than sprawling pages that don’t fit anywhere.

• Use schema markup where appropriate. Structured data helps Google understand what your content is about and how it relates to specific entities and topics. It’s not a magic ranking factor, but it gives the AI more context.

• And keep doing the fundamentals. Technical SEO, user experience, genuine expertise, helpful content – none of this becomes less important. Web Guide runs on top of organic search, not instead of it.

Should you panic about Google Web Guides?

No. And I think you know that I don’t say that lightly.

Web Guide is still experimental. It might never roll out widely. Google has killed plenty of Search Labs experiments before, and there’s no guarantee this one will survive.

But if it does become standard, this is one of the more publisher-friendly AI features Google has introduced. Unlike AI Overviews, which actively try to keep users on Google, Web Guide is designed to help people find the right websites for their needs.

If your content is genuinely good – if you’re covering topics thoroughly, answering real questions, and demonstrating actual expertise – Web Guide could help you get discovered by people who would never have found you in traditional search results.

Don’t get me wrong – it’s not perfect by any means There are legitimate concerns about algorithmic bias and the opacity of how Google decides which content goes where. We’re trusting an AI to categorise our content fairly, and that’s always going to be a bit uncomfortable.

But compared to the direction AI search has been heading, Web Guide feels like a step in a better direction.

So keep building good content. Keep focusing on genuine value. And keep an eye on how this develops.

I’ll have more detailed strategy recommendations once we’ve seen how Web Guide performs in the wild. Watch this space.