Search Central LiveDeep Dive Europe 2026

Knowledge base v2.13.0 · Community edition · data through 2 October 2026

Topic · AI and Search

Query fan-out

Query fan-out expands one question into several related searches run at once, across subtopics and, for AI Mode, data sources such as the Knowledge Graph and shopping data as well as web content. Day 2 filled in the mechanism behind Day 1's grounding on the Search index: Google described the generated queries going to the index and the documents coming back with their token-based snippets, which become the source material for the AI answer (part of that passage is unclear in the recording), so a page that forbids a snippet cannot contribute one. Google's robots meta tag specification confirms that nosnippet keeps a page's content out of AI Overviews and AI Mode as a direct input and that max-snippet limits how much can be used. Google's guide warns that creating separate pages for fan-out query variations primarily to manipulate rankings or AI responses is scaled content abuse, and says its AI systems can judge relevance without an exact query match. Day 3 tied fan-out to classic query handling: Google's AI features send the query and its search results to an LLM, which returns new queries for Google to run, and Google treats those like typed queries, passing each through query understanding, synonym expansion included, while keeping them distinct for better coverage; synonym expansion belongs to traditional Search, and fan-out expands further. Google said fan-out queries are not added to Search Console (not in Google's docs, though its reports fit the statement) but can be seen in Gemini and some search APIs, and advised understanding that fan-out happens without overfocusing on individual fan-out queries, which differ from system to system. A second recording of Day 1 added Google's own framing: the keynote said Gemini lets Search understand the user's intent and fan-out then adds further queries to enrich the answer, as when a query about weeds in a lawn also looks for the best herbicide, a non-chemical solution and prevention, and Gary Illyes said fan-out is nothing new, firing, say, ten normal searches in the background on the same systems. Community speakers added that fan-out queries are often in another language than the prompt: a study (heard as Peec AI's) found 43% of prompts produced fan-out queries in another language, and a Spanish prompt about places to eat in Barcelona fanned out into English queries, so the content used to answer may be written for a different audience; one speaker said Microsoft is ahead of Google in showing site owners the grounding queries its AI uses. Author’s view: in Peec AI's published analysis of over 10 million ChatGPT prompts, 43% is the share of fan-out searches for non-English prompts that ran in English, and nearly 78% of non-English prompt runs had at least one English fan-out, so cite the 43% as a share of fan-outs, not of prompts.

What to do

  • Do not create separate pages for fan-out query variations.
  • Treat nosnippet, data-nosnippet and max-snippet as AI visibility settings and keep them off pages you want used in AI answers.
  • Explain a topic fully on the page people should land on, in plain words, instead of targeting every query variation.
  • Do not build pages from fan-out queries copied from Gemini or other LLM tools; cover a topic's real subquestions on solid pages.
  • Check in which language AI fan-out runs for your market's prompts, and make sure strong content exists in the languages it actually searches.

Day 1: Crawling 14

Shown on screen 2

SlideConsistent with docsD1-C038

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…
SlideConfirmed by docsD1-C051

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

StageConsistent with docsD1-C172

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…
StageConsistent with docsD1-C225

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…
StageNot in docsD1-C294

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…
StageConsistent with docsD1-C412

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

DocsSourceD1-C053

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…
DocsSourceD1-C129

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

AnalysisD1-C504

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

StageConsistent with docsD2-C073

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…
StageConsistent with docsD2-C726

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…
StageConsistent with docsD2-C727

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

DocsSourceD2-C728

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

DocsSourceD2-C729

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

AnalysisD2-C730

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

AnalysisD2-C731

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

SlideConsistent with docsD3-C057

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…

Said on stage 10

StageConfirmed by docsD3-C058

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…
StageConsistent with docsD3-C059

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…
StageConsistent with docsD3-C061

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…
StageNot in docsD3-C063

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…
StageConsistent with docsD3-C065

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…
StageD3-C704

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

DocsSourceD3-C712

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

AnalysisD3-C095

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

Across days and sessions 34

  1. Stage D1-C208 Day 1 · How Search works and where's AI?

    AI Overviews and AI Mode may have extra processes of their own, like any other search feature, but the bulk of their processing is the same as for normal Search.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  2. Stage D1-C225 Day 1 · How Search works and where's AI?

    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.

    extends
    Slide D1-C051 Day 1 · How Search works and where's AI?

    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.

  3. Stage D1-C325 Day 1 · How crawling works

    Googlebot is the crawler Google uses for web search, including Search's AI features.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  4. Stage D1-C388 Day 1 · How Google thinks about crawl budget

    AI Mode is a feature that sits on top of Google's existing crawling infrastructure, so Google does not crawl a site more because of AI Mode.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  5. Stage D1-C412 Day 1 · Lightning session C: Crawling

    A community speaker described AI search as turning one query into many related searches, including searches in other languages, before the information is retrieved.

    extends
    Docs D1-C053 Day 1 · How Search works and where's AI?

    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.

  6. Analysis D1-C504 Day 1 · Lightning session A: Automation and AI

    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.

    extends
    Stage D1-C294 Day 1 · Lightning session A: Automation and AI

    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.

  7. Stage D2-C073 Day 2 · Controlling indexing

    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.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  8. Docs D2-C074 Day 2 · Controlling indexing

    Google's AI features guide says a page must be indexed and eligible to be shown in Google Search with a snippet to appear as a supporting link in AI Overviews or AI Mode, with no additional technical requirements.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  9. Stage D2-C476 Day 2 · What is Structured Data and why we need it on the internet.

    The structured data Google processes is not fed very differently to AI Overviews and AI Mode: after cleaning and quality work, the same data goes to both the classic results page and the AI features.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  10. Stage D2-C603 Day 2 · Focusing on Internationalisation and Localisation

    Users often assume AI is all-knowing and borderless, but AI is still language-dependent: if an AI answer is synthesized from the top results, a query in another language draws on a totally different set of data.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  11. Stage D2-C726 Day 2 · How does the index look like?

    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.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  12. Stage D2-C727 Day 2 · How does the index look like?

    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).

    extends
    Slide D1-C051 Day 1 · How Search works and where's AI?

    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.

  13. Stage D2-C727 Day 2 · How does the index look like?

    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).

    extends
    Docs D1-C053 Day 1 · How Search works and where's AI?

    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.

  14. Stage D2-C727 Day 2 · How does the index look like?

    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).

    extends
    Stage D1-C172 Day 1 · Welcome and opening keynotes

    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.

  15. Stage D2-C727 Day 2 · How does the index look like?

    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).

    extends
    Stage D2-C073 Day 2 · Controlling indexing

    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.

  16. Docs D2-C729 Day 2 · How does the index look like?

    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).

    extends
    Docs D1-C053 Day 1 · How Search works and where's AI?

    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.

  17. Stage D2-C741 Day 2 · How does the index look like?

    In embedding-based retrieval, the distance between the embeddings of documents and the embedding of the user's query decides which documents are returned.

    extends
    Docs D1-C129 Day 1 · How Search works and where's AI?

    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.

  18. Slide D3-C057 Day 3 · Making sense of users' queries

    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.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  19. Stage D3-C059 Day 3 · Making sense of users' queries

    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.

    extends
    Stage D1-C172 Day 1 · Welcome and opening keynotes

    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.

  20. Stage D3-C059 Day 3 · Making sense of users' queries

    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.

    extends
    Stage D2-C727 Day 2 · How does the index look like?

    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).

  21. Stage D3-C061 Day 3 · Making sense of users' queries

    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.

    extends
    Stage D1-C225 Day 1 · How Search works and where's AI?

    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.

  22. Stage D3-C061 Day 3 · Making sense of users' queries

    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.

    extends
    Docs D2-C729 Day 2 · How does the index look like?

    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).

  23. Stage D3-C063 Day 3 · Making sense of users' queries

    Google said fan-out queries are not added to Search Console, because Google considers them part of its infrastructure.

    extends
    Docs D1-C124 Day 1 · How Search works and where's AI?

    Google's launch post for the Generative AI performance reports in Search Console (3 June 2026; rolled out to all sites worldwide by 31 August 2026) lists impressions, pages, countries, devices (Search only) and dates, and no click or query metrics.

  24. Stage D3-C065 Day 3 · Making sense of users' queries

    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.

    extends
    Docs D1-C129 Day 1 · How Search works and where's AI?

    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.

  25. Stage D3-C212 Day 3 · How Google thinks about Quality

    Google's quality talk said Google clarified that traditional spam techniques aimed at manipulating AI responses also violate its spam policies, and that Google can take action against them.

    extends
    Docs D1-C129 Day 1 · How Search works and where's AI?

    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.

  26. Stage D3-C325 Day 3 · How Search results are born

    AI Mode and AI Overviews are not rich results but standard search features: they need no structured data to function and work with the normal text results from Google's index.

    extends
    Stage D2-C726 Day 2 · How does the index look like?

    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.

  27. Slide D3-C701 Day 3 · Wrapping all up: AI, Search, and making sense of everything.

    Google's closing slide said AI on Google is just SEO: AI features on Google Search use exactly the same processes as traditional results, so no new acronym is needed, as none was for mobile-first indexing or structured data.

    extends
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  28. Stage D2-C116 Day 2 · Lightning session D: Rendering and JavaScript

    AI Overviews and AI Mode are built on top of Search results: they are a different experience of the same content Google already has.

    repeats
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  29. Stage D2-C601 Day 2 · Focusing on Internationalisation and Localisation

    Sites need no extra work to appear in AI Overviews and AI Mode: both work on top of the existing web results, so what works for web results also works for the AI features.

    repeats
    Slide D1-C051 Day 1 · How Search works and where's AI?

    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.

  30. Stage D3-C056 Day 3 · Making sense of users' queries

    Google's generative AI features in Search build on the traditional ways of searching, so query understanding also flows into AI Overviews and AI Mode.

    repeats
    Slide D1-C051 Day 1 · How Search works and where's AI?

    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.

  31. Stage D3-C058 Day 3 · Making sense of users' queries

    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.

    repeats
    Docs D1-C053 Day 1 · How Search works and where's AI?

    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.

  32. Stage D3-C702 Day 3 · Wrapping all up: AI, Search, and making sense of everything.

    AI Overviews and AI Mode are built on the Search infrastructure Google has used for 25 to 30 years and have very few processes of their own.

    repeats
    Slide D1-C038 Day 1 · How Search works and where's AI?

    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.

  33. Stage D3-C702 Day 3 · Wrapping all up: AI, Search, and making sense of everything.

    AI Overviews and AI Mode are built on the Search infrastructure Google has used for 25 to 30 years and have very few processes of their own.

    repeats
    Stage D2-C726 Day 2 · How does the index look like?

    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.

  34. Stage D3-C704 Day 3 · Wrapping all up: AI, Search, and making sense of everything.

    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.

    repeats
    Stage D3-C065 Day 3 · Making sense of users' queries

    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.

Built on these claims 5

Developer requirements 3

Myths 1

Also instory angle A-001

Sources 11