In the ever-evolving landscape of search engines, you might be tempted to believe that Google is swiftly moving towards an AI-driven future. However, the truth is that most search, even AI Mode, is a harmonious blend of AI and the core organic search algorithms that Google has been refining for over two decades. Google Web Guide, currently in beta, offers a glimpse into what this hybrid search future might look like. On the surface, it appears similar to traditional search, but it’s powered by multiple AI layers, including complex query fan-out. Let’s dive into the fascinating world of Google Web Guide.
What is Google Web Guide?
Google Web Guide is a hybrid search result introduced in Google Labs in late July of 2025. It seamlessly combines Google’s organic search results with AI (Gemini) features, utilizing query fan-out to surface sub-topics and additional results. If you haven’t encountered a Google Web Guide result yet, here’s a partial screenshot to give you an idea:
Let’s break down Web Guide into its fundamental components:
Organic Results (FastSearch)
I recently found myself in need of replacing some failing hardware, and I decided to explore a Web Guide result for “wireless gaming mice.” At the top of this result, you’ll notice something that looks very familiar:
These results appear organic because they mostly are. Notice the button to show “quick matches” – these results come from Google’s FastSearch technology. FastSearch is based on RankEmbed and employs core technology similar to regular search but is designed to be faster and more efficient. FastSearch also plays a crucial role in grounding Gemini.
AI/LLM Summary
Beneath the mostly-organic results (usually, two of them), you’ll find the “Web Guide” header and an AI-generated summary. This summary seems to encompass all results, although the example below focuses on a couple of specific products (note the highlighting):
Subtopic Fan-outs
Query fan-out was introduced with AI Mode back in May. It attempts to break a query down into subtopics and follow-ups to provide a broader snapshot of what a searcher might want. Fan-out queries happen behind the scenes in AI Mode and AI Overviews, but Web Guide surfaces them indirectly. After the Web Guide summary, you’ll see blocks of organic results. Each block has a header and description, followed by up to four (currently) visible results, like this one:
Each of these sections is the product of a query fan-out. Although the fan-out itself isn’t displayed, Web Guide generates the fan-out queries, runs the fan-out searches, ranks the most relevant results for each fan-out, and then summarizes those results. The headers aren’t the fan-outs, as far as we know, but they are the end result of the fan-outs. Here’s a list of all the subtopic/fan-out headers on this result:
– Best Wireless Gaming Mice: Expert Reviews & Picks
– Detailed Wireless Gaming Mouse Comparisons
– Wireless Gaming Mouse Product Listings and Shopping
– Razer Wireless Gaming Mice Overview
– Community Recommendations and Discussions on Wireless Mice
– In-depth Reviews of Specific Wireless Gaming Mice
– Gaming Mouse Selection Guides & Troubleshooting
The number of fan-out sections on any given result has varied quite a bit during testing (and across queries). In a moment, we’ll get into how we think the query fan-out process works, based on observed Web Guide results.
AI/LLM Rewrites
AI and Gemini are also working in less obvious ways within Web Guide. Look at the following search snippet:
This text isn’t the page’s Meta Description, and it’s not lifted directly from the content. It’s a summary based on the perceived intent of the searcher, which explains how the page serves that intent. In other words, instead of just summarizing the page, Google/Gemini is trying to tell you why it thinks that page is relevant. Here’s another example, from a forum, that pulls out a relevant quote:
Arguably, this is good for searchers and can lead to more relevant clicks. As search marketers, however, this is another evolution of search that forces us to let go of control of our content and look at the bigger picture of what a searcher might want.
Putting it all back together, here’s a visual summary of a Web Guide result:
Web Guide certainly feels a lot more organic than AI Mode, but the reality is a bit more complicated. Let’s talk about what’s happening behind the scenes.
What Exactly is Query Fan-out?
When Google launched AI Mode, Liz Reed, VP & Head of Google Search, wrote that: “AI Mode uses our query fan-out technique, breaking down your question into subtopics and issuing a multitude of queries simultaneously on your behalf. This enables Search to dive deeper into the web than a traditional search on Google…” While “multitude” may be an exaggeration, AI Mode visually confirmed that Google ran additional searches and analyzed multiple SERPs (this message seems to be gone now). Typically, this was in the ballpark of a half-dozen searches. For example:
When Web Guide launched in Google Labs, Justin W Respond: title (no prefix), blank line, article. English only!
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