Day 1: Crawling 14
Shown on screen 2
AI Mode and AI Overviews use the same crawling and the same index as Search. At serving they add grounding on the Search index and query fan-out.
Speaker Cherry Prommawin, Gary IllyesIn Day 1, 11:45 · How Search works and where's AI?Evidence slide photo, transcript
Used byrequirement DEV-AIF-01story angle A-001glossary terms AI Mode, Grounding
- Extended by D1-C208 Day 1: AI Overviews and AI Mode may have extra processes of their own, like any other search feature, but the bulk…
- Extended by D1-C325 Day 1: Googlebot is the crawler Google uses for web search, including Search's AI features.
- Extended by D1-C388 Day 1: AI Mode is a feature that sits on top of Google's existing crawling infrastructure, so Google does not crawl…
- Extended by D2-C073 Day 2: John Mueller said Google uses the snippet as a way of building AI Overviews and AI Mode answers, so if a page…
- Extended by D2-C074 Day 2: Google's AI features guide says a page must be indexed and eligible to be shown in Google Search with a…
- Repeated by D2-C116 Day 2: AI Overviews and AI Mode are built on top of Search results: they are a different experience of the same…
- Extended by D2-C476 Day 2: The structured data Google processes is not fed very differently to AI Overviews and AI Mode: after cleaning…
- Extended by D2-C603 Day 2: Users often assume AI is all-knowing and borderless, but AI is still language-dependent: if an AI answer is…
- Extended by D2-C726 Day 2: AI Overviews and AI Mode use the same index structures and token-based snippets as classic web results, a…
- Extended by D3-C057 Day 3: Google's slide on how LLM features with grounding generally work showed a query going to both the search…
- Extended by D3-C701 Day 3: Google's closing slide said AI on Google is just SEO: AI features on Google Search use exactly the same…
- Repeated by D3-C702 Day 3: AI Overviews and AI Mode are built on the Search infrastructure Google has used for 25 to 30 years and have…
Three reasons were given: generative AI features are built directly on the core ranking systems, query fan-out expands the original query to find related information, and generative AI features highlight content indexed by Google Search.
Speaker Cherry Prommawin, Gary IllyesIn Day 1, 11:45 · How Search works and where's AI?Evidence slide photo, transcript
Used byrequirement DEV-AIF-01myth M-001story angle A-001glossary term AI Overviews
- Extended by D1-C225 Day 1: Google said query fan-out is nothing new: it fires, for example, ten different searches in the background…
- Repeated by D2-C601 Day 2: Sites need no extra work to appear in AI Overviews and AI Mode: both work on top of the existing web results…
- Extended by D2-C727 Day 2: Google said that when AI Overviews or AI Mode run a query fan-out, the generated queries are sent to Google's…
- Repeated by D3-C056 Day 3: Google's generative AI features in Search build on the traditional ways of searching, so query understanding…
Said on stage 9
Google said the Gemini model lets Search understand the user's intent, and query fan-out then adds further queries to the first one to enrich the quality of the answer.
Speaker Lino CattaruzziIn Day 1, 11:00 · Welcome and opening keynotesEvidence transcript
- Extended by D2-C727 Day 2: Google said that when AI Overviews or AI Mode run a query fan-out, the generated queries are sent to Google's…
- Extended by D3-C059 Day 3: Google treats fan-out queries generated by the LLM the same way as queries typed by users, so understanding…
Google's fan-out example: for a simple query about getting rid of weeds in a lawn, Search also looks for the best herbicide to use, the best non-chemical solution and how to prevent weeds.
Speaker Lino CattaruzziIn Day 1, 11:00 · Welcome and opening keynotesEvidence transcript
Google said query fan-out is nothing new: it fires, for example, ten different searches in the background, each a normal search on the same systems.
“it is just ten different searches that fire in the background”
Speaker Gary IllyesIn Day 1, 11:45 · How Search works and where's AI?Evidence transcript
- Extends D1-C051 Day 1: Three reasons were given: generative AI features are built directly on the core ranking systems, query…
- Extended by D3-C061 Day 3: Google tries to make fan-out queries distinct from each other for better coverage, avoiding asking the same…
A community speaker suggested that LLMs pick up some of Google's years of work on judging honesty and trust (E-E-A-T) by proxy, because they send many queries (probably fan-out queries) to search engines.
Speaker Thiago PojdaIn Day 1, 13:10 · Lightning session A: Automation and AIEvidence transcript
A community speaker cited a third-party study (heard as Peec AI's) finding that 43% of prompts produced fan-out queries in a language other than the one the user searched in.
Speaker Thiago PojdaIn Day 1, 13:10 · Lightning session A: Automation and AIEvidence transcript
- Extended by D1-C504 Day 1: The study cited on stage matches Peec AI's analysis (reported in February 2026) of over 10 million ChatGPT…
A community speaker showed a Spanish-language AI prompt about places to eat in Barcelona whose fan-out queries were all in English, so the content used to answer may be written by and for a different audience than the one asking.
Speaker Thiago PojdaIn Day 1, 13:10 · Lightning session A: Automation and AIEvidence transcript
A community speaker proposed a 'brand co-occurrence rate' for the search stage: the share of an AI's fan-out queries that contain the brand (one in three is 33%), which also hints at the associations the model already has; problems there are mostly relevance problems.
Speaker not identifiedIn Day 1, 13:10 · Lightning session A: Automation and AIEvidence transcript
A community speaker said Microsoft is ahead of Google in giving site owners the grounding queries its AI uses.
Speaker not identifiedIn Day 1, 13:10 · Lightning session A: Automation and AIEvidence transcript
A community speaker described AI search as turning one query into many related searches, including searches in other languages, before the information is retrieved.
Speaker Jovana AvramovicIn Day 1, 16:20 · Lightning session C: CrawlingEvidence transcript
- Extends D1-C053 Day 1: Query fan-out means running several related searches at once to gather more results; a question about lawn…
What Google's documentation says 2
Query fan-out means running several related searches at once to gather more results; a question about lawn weeds may also search herbicides and weed prevention.
Publisher Google Search CentralAnnotates Day 1, 11:45 · How Search works and where's AI?
Used byglossary term Query fan-out
- Extended by D1-C412 Day 1: A community speaker described AI search as turning one query into many related searches, including searches…
- Extended by D2-C727 Day 2: Google said that when AI Overviews or AI Mode run a query fan-out, the generated queries are sent to Google's…
- Extended by D2-C729 Day 2: Google says query fan-out in AI Overviews and AI Mode issues related searches across subtopics and several…
- Repeated by D3-C058 Day 3: In Google's AI features, the query and the search results are additionally sent to an LLM, which returns new…
Google's guide says creating separate content for every variation of how people might search, including fan-out queries, primarily to manipulate rankings or AI responses violates its scaled content abuse policy. It adds that its AI systems can understand a page's relevance even without an exact match to the query.
Publisher Google Search CentralAnnotates Day 1, 11:45 · How Search works and where's AI?
Used byrequirement DEV-AIF-03glossary term Scaled content abuse
- Extended by D2-C741 Day 2: In embedding-based retrieval, the distance between the embeddings of documents and the embedding of the…
- Extended by D3-C065 Day 3: Because every system runs fan-out differently, Google advised understanding that fan-out happens but not…
- Extended by D3-C212 Day 3: Google's quality talk said Google clarified that traditional spam techniques aimed at manipulating AI…
Analysis by the author 1
The study cited on stage matches Peec AI's analysis (reported in February 2026) of over 10 million ChatGPT prompts and 20 million fan-outs: 43% of the fan-out searches for non-English prompts ran in English, and nearly 78% of non-English prompt runs had at least one English fan-out (from 66% for Spanish to 94% for Turkish), so the 43% is a share of fan-out searches, not of prompts.
Author Ibrahim AnjroAnnotates Day 1, 13:10 · Lightning session A: Automation and AI
- Extends D1-C294 Day 1: A community speaker cited a third-party study (heard as Peec AI's) finding that 43% of prompts produced…
Day 2: Indexing 7
Said on stage 3
John Mueller said Google uses the snippet as a way of building AI Overviews and AI Mode answers, so if a page forbids a snippet, Google cannot use that snippet for them.
“we use the snippet as a way of building out the AI Overviews and the AI Mode answers”
Speaker John MuellerIn Day 2, 10:30 · Controlling indexingEvidence transcript
Used byrequirement DEV-IDX-05
- Extends D1-C038 Day 1: AI Mode and AI Overviews use the same crawling and the same index as Search. At serving they add grounding on…
- Extended by D2-C727 Day 2: Google said that when AI Overviews or AI Mode run a query fan-out, the generated queries are sent to Google's…
AI Overviews and AI Mode use the same index structures and token-based snippets as classic web results, a point Google called important but not obvious.
Speaker GoogleIn Day 2, 16:15 · How does the index look like?Evidence transcript
- Extends D1-C038 Day 1: AI Mode and AI Overviews use the same crawling and the same index as Search. At serving they add grounding on…
- Extended by D3-C325 Day 3: AI Mode and AI Overviews are not rich results but standard search features: they need no structured data to…
- Repeated by D3-C702 Day 3: AI Overviews and AI Mode are built on the Search infrastructure Google has used for 25 to 30 years and have…
Google said that when AI Overviews or AI Mode run a query fan-out, the generated queries are sent to Google's Search index and documents come back with their snippets, which then feed the AI-generated answer (part of this passage is unclear in the recording).
Speaker GoogleIn Day 2, 16:15 · How does the index look like?Evidence transcript
- Extends D1-C053 Day 1: Query fan-out means running several related searches at once to gather more results; a question about lawn…
- Extends D1-C051 Day 1: Three reasons were given: generative AI features are built directly on the core ranking systems, query…
- Extends D2-C073 Day 2: John Mueller said Google uses the snippet as a way of building AI Overviews and AI Mode answers, so if a page…
- Extends D1-C172 Day 1: Google said the Gemini model lets Search understand the user's intent, and query fan-out then adds further…
- Extended by D3-C059 Day 3: Google treats fan-out queries generated by the LLM the same way as queries typed by users, so understanding…
What Google's documentation says 2
Google's robots meta tag specification says the nosnippet rule also prevents a page's content from being used as a direct input for AI Overviews and AI Mode, and max-snippet also limits how much of it may be used that way.
Publisher Google Search CentralAnnotates Day 2, 16:15 · How does the index look like?
Used byrequirement DEV-IDX-05glossary term max-snippet
Google says query fan-out in AI Overviews and AI Mode issues related searches across subtopics and several data sources, which for AI Mode include the Knowledge Graph and shopping data as well as web content (AI Mode launch post, March 2025).
Publisher Google Search Central, Google blog (5 March 2025)Annotates Day 2, 16:15 · How does the index look like?
Used byglossary term Query fan-out
- Extends D1-C053 Day 1: Query fan-out means running several related searches at once to gather more results; a question about lawn…
- Extended by D3-C061 Day 3: Google tries to make fan-out queries distinct from each other for better coverage, avoiding asking the same…
Analysis by the author 2
There is no separate AI index to optimise for: when a page never shows up as a source in AI Overviews or AI Mode, first check that it is indexed, that no nosnippet rule blocks its snippet and that the site is not excluded in Search Console's generative AI setting, the eligibility conditions Google lists.
Author Ibrahim AnjroAnnotates Day 2, 16:15 · How does the index look like?
Used byrequirement DEV-AIF-01
Treat nosnippet, data-nosnippet and max-snippet as AI visibility settings too: Google lists them as the controls for content in AI features, and if AI answers are built from index snippets, as Google said on stage, a blocked or shortened snippet leaves AI Overviews and AI Mode less to use.
Author Ibrahim AnjroAnnotates Day 2, 16:15 · How does the index look like?
Day 3: Serving: Ranking, Search Console, and Performance 17
Shown on screen 2
Google's slide on how LLM features with grounding generally work showed a query going to both the search engine and an LLM, the search engine's results going to the LLM, the LLM generating fan-out queries that go back to the search engine, and the LLM returning answers with links.
“How LLM features with grounding generally work”
Wording checked against the slide or recording
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence slide photo, transcript
- Extends D1-C038 Day 1: AI Mode and AI Overviews use the same crawling and the same index as Search. At serving they add grounding on…
Google's summary slide on query understanding said query fan-out does even more expansion than synonym expansion.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence slide photo, transcript
Said on stage 10
Google expands queries with synonyms in traditional Search; the speaker compared this to query fan-out but said it is part of traditional Search, not of the AI features.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
In Google's AI features, the query and the search results are additionally sent to an LLM, which returns new queries for Google to run.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Used byglossary term Query fan-out
- Repeats D1-C053 Day 1: Query fan-out means running several related searches at once to gather more results; a question about lawn…
Google treats fan-out queries generated by the LLM the same way as queries typed by users, so understanding how normal queries work explains fan-out queries too.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
- Extends D2-C727 Day 2: Google said that when AI Overviews or AI Mode run a query fan-out, the generated queries are sent to Google's…
- Extends D1-C172 Day 1: Google said the Gemini model lets Search understand the user's intent, and query fan-out then adds further…
Google said a short video showing how one query is expanded into several fan-out queries has been in its documentation for a while.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Google tries to make fan-out queries distinct from each other for better coverage, avoiding asking the same question several times, which would return the same answers.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
- Extends D2-C729 Day 2: Google says query fan-out in AI Overviews and AI Mode issues related searches across subtopics and several…
- Extends D1-C225 Day 1: Google said query fan-out is nothing new: it fires, for example, ten different searches in the background…
Every fan-out query goes through Google's query understanding, including synonym expansion.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Used byglossary term Query fan-out
Google said fan-out queries are not added to Search Console, because Google considers them part of its infrastructure.
“Fan-out queries are not added in Search Console, because they're basically a part of our infrastructure.”
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Used byrequirement DEV-AIF-03glossary term Query fan-out
- Extends D1-C124 Day 1: Google's launch post for the Generative AI performance reports in Search Console (3 June 2026; rolled out to…
Individual fan-out queries can be seen in some other places, such as Gemini, some search APIs and other LLM systems.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Because every system runs fan-out differently, Google advised understanding that fan-out happens but not overfocusing on individual fan-out queries or on how to rank for them.
“I would not overfocus on which individual fan-out queries happen and how can I rank for those”
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Used byrequirement DEV-AIF-03
- Extends D1-C129 Day 1: Google's guide says creating separate content for every variation of how people might search, including…
- Repeated by D3-C704 Day 3: Google warned that shiny new things, such as trying to work out fan-out queries, distract from the real…
Google warned that shiny new things, such as trying to work out fan-out queries, distract from the real mission of creating helpful content, since Search is just piping that connects users to information.
Speaker Gary IllyesIn Day 3, 16:00 · Wrapping all up: AI, Search, and making sense of everything.Evidence transcript
- Repeats D3-C065 Day 3: Because every system runs fan-out differently, Google advised understanding that fan-out happens but not…
What Google's documentation says 3
Google's Search Console help says AI Mode groups the user's question into subtopics and searches for each one simultaneously, and that a follow-up question in AI Mode is essentially a new query.
Publisher Google Search Console HelpAnnotates Day 3, 10:25 · Making sense of users' queries
Google's Gemini API documentation on grounding with Google Search says the model automatically generates and runs one or more search queries when needed, and the response lists the search queries it executed.
Publisher Google AI for Developers (Gemini API docs)Annotates Day 3, 10:25 · Making sense of users' queries
Google's July 2025 blog post introduced Web Guide as a Search Labs experiment that uses a custom version of Gemini and a query fan-out technique to group web links by aspects of the query.
Publisher Google blog (24 July 2025)Annotates Day 3, 16:00 · Wrapping all up: AI, Search, and making sense of everything.
Used byglossary term Web Guide
Analysis by the author 2
Do not build pages for fan-out queries copied from Gemini or other LLM tools: they differ from system to system and Search Console does not report them. Cover a topic's real subquestions on solid pages instead.
Author Ibrahim AnjroAnnotates Day 3, 10:25 · Making sense of users' queries
Used byrequirement DEV-AIF-03
No Google documentation states that fan-out queries stay out of Search Console, but the docs fit the stage statement: the Performance report counts AI Overviews and AI Mode under the user's own queries, and the Generative AI reports have no query dimension.
Author Ibrahim AnjroAnnotates Day 3, 10:25 · Making sense of users' queries