Signals calculated for a page during indexing are stored in the index and used both to decide whether the page gets indexed and, later, for ranking.
Speaker Cherry PrommawinIn Day 1, 11:45 · How Search works and where's AI?Evidence transcript
Knowledge base v2.13.0 · Community edition · data through 2 October 2026
Topic · The index and its signals
Of the many signals Google calculates during indexing, it singled out country, language, freshness, SafeSearch and spam as having large effects, and said country and language have been among its most important signals since its early days. Google stores one language per page and weights language and country in index selection so the index is not dominated by English or by the largest countries (said at the event, not in Google's docs). Some freshness signals are calculated at indexing but used in ranking for queries that deserve fresh results, and Google said freshness plays no big role in whether a page is indexed (not in its docs). SafeSearch signals are calculated at indexing because ranking runs online with no time for them, need the whole parsed page plus its inbound and outbound links, and, Google said, do not change a page's chance of being indexed (the timing and indexing points are not in its docs); Google's guidelines advise keeping explicit content on a separate domain or subdomain so the whole site is not filtered. Each indexed document carries its calculated signals for index selection to use; Google said many are documented under other names, but that creating content users like is a better use of time than hunting for signals. Day 3 showed where these signals are used next: at retrieval Google orders candidates with per-document signals collected during indexing, language first and then country. Google added that its slowest signal is recalculated only about once a year, which is why a site move can take up to a year (a partly uncertain passage of the recording). Day 1's second recording added that the signals calculated during indexing are stored and used both for index selection and later for ranking.
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Signals calculated for a page during indexing are stored in the index and used both to decide whether the page gets indexed and, later, for ranking.
Speaker Cherry PrommawinIn Day 1, 11:45 · How Search works and where's AI?Evidence transcript
Google annotates each page with only one language in the index.
Speaker GoogleIn Day 2, 14:15 · Focusing on Internationalisation and LocalisationEvidence transcript
Among the many signals Google calculates during indexing, the ones singled out as having large effects on search results were country, language, freshness, SafeSearch and spam.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Country and language are among Google's most important signals and have been used since Google's early days.
“Both of them are extremely, extremely important”
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Google detects the language of each document and weights language in index selection so that the index is not dominated by one or two languages.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
In ranking, country and language signals help Google serve users the right content for their country and language.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Freshness is a signal for queries that deserve fresh results ('query deserves freshness'): when a breaking event hits a city, such as possible closure of Barcelona's airport, users want really fresh results, not results from two weeks ago.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Google calculates some freshness signals during indexing but uses them in ranking.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Freshness plays no big role in index selection: whether a page was published 30 years ago or today makes no difference to its chance of being indexed.
“It doesn't play a big role in index selection.”
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Google uses multiple systems to protect users from unexpected explicit results: its algorithms detect whether a user is looking for explicit content and rank results accordingly, so the aim is not to never show explicit results but to avoid showing them to users who are not looking for them.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Whether a page's content is explicit does not matter for indexing: judged on content type alone, an explicit page has the same chance of being indexed as a major news site's homepage.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Google calculates SafeSearch signals during indexing rather than in ranking, because ranking happens online with no time for such calculations, while indexing has the processing power.
“In ranking, everything has to happen online, and there's just not enough time to calculate those things.”
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Calculating SafeSearch signals for a page needs its whole parsed HTML plus knowledge of which pages link to it and which pages it links to.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Many of Google's signals are described in its developer documentation, though not always under the name 'signals'.
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Combing Google's documentation for signals is not the best use of an SEO's time; creating content that users will like is a better one.
“If you are just focusing on actually creating the content that users will like, then that's probably a better use of your life.”
Speaker GoogleIn Day 2, 15:30 · Calculating (some) signalsEvidence transcript
Index selection uses the signals calculated earlier in indexing for each document it has to select or discard.
Speaker GoogleIn Day 2, 15:40 · Deciding what goes in the index?Evidence transcript
Used byglossary term Index selection
Each document in Google's index has pretty much all the signals calculated for it attached, for example quality signals plus the page's country and language, according to an illustration the speaker called an approximation of the real structure.
Speaker GoogleIn Day 2, 16:15 · How does the index look like?Evidence transcript
Google's guidelines for sites with explicit content recommend grouping explicit pages on a separate domain or subdomain; otherwise Google's systems may judge the whole site explicit and filter all of it when SafeSearch is on.
Publisher Google Search CentralAnnotates Day 2, 15:30 · Calculating (some) signals
Used byrequirement DEV-IDX-12
Google's guidelines for sites with explicit content say to mark each explicit page with rating markup set to adult, either as a meta tag named rating or as an HTTP response header.
Publisher Google Search CentralAnnotates Day 2, 15:30 · Calculating (some) signals
Used byrequirement DEV-IDX-12
Changing a page's date or making cosmetic edits will not help an old page get indexed, because freshness plays no big role in index selection; freshness pays off only when ranking for queries that deserve fresh results.
Author Ibrahim AnjroAnnotates Day 2, 15:30 · Calculating (some) signals
Because explicit content on its own does not lower a page's chance of being indexed, the practical risk for a site that mixes explicit and general content is SafeSearch classification, which looks at the whole page and its links; keep explicit pages on a separate domain or subdomain, as Google advises.
Author Ibrahim AnjroAnnotates Day 2, 15:30 · Calculating (some) signals
Used byrequirement DEV-IDX-12
Language, country, SafeSearch and spam signals, and some freshness signals, are calculated when a page is indexed, so a fix such as correcting a page's language or removing content that triggers SafeSearch only counts once Google recrawls and reprocesses the page; request recrawling of the most important URLs after the fix.
Author Ibrahim AnjroAnnotates Day 2, 15:30 · Calculating (some) signals
Used byrequirements DEV-IDX-12, DEV-MON-02
For retrieval, Google uses signals attached individually to each document in the index.
Speaker Gary IllyesIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
To order candidates at retrieval, Google uses signals collected during indexing, and the first two are language and country.
Speaker Gary IllyesIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Used byrequirement DEV-INT-07glossary term Retrieval
Gary Illyes said a site move can take up to about a year in the worst case, because Google's slowest signal is recalculated only about once a year (some words of this passage are uncertain readings).
Speaker Gary IllyesIn Day 3, 15:45 · How long does it take to..?Evidence transcript
Used byrequirement DEV-CAN-09
Signals calculated for a page during indexing are stored in the index and used both to decide whether the page gets indexed and, later, for ranking.
For classic Search, crawling means Googlebot, scheduling and robots.txt, with AI used in parts such as scheduling. Indexing is one big but not limitless index that calculates signals and understands more than words, with AI such as BERT. Serving uses hundreds of signals tailored to the moment, with AI such as RankBrain.
Among the many signals Google calculates during indexing, the ones singled out as having large effects on search results were country, language, freshness, SafeSearch and spam.
For classic Search, crawling means Googlebot, scheduling and robots.txt, with AI used in parts such as scheduling. Indexing is one big but not limitless index that calculates signals and understands more than words, with AI such as BERT. Serving uses hundreds of signals tailored to the moment, with AI such as RankBrain.
Google detects the language of each document and weights language in index selection so that the index is not dominated by one or two languages.
Google determines a page's language for indexing from the page content, not from a language code in the URL.
Freshness is a signal for queries that deserve fresh results ('query deserves freshness'): when a breaking event hits a city, such as possible closure of Barcelona's airport, users want really fresh results, not results from two weeks ago.
Ranking signals differ by result type: web pages (text, links, passages), images (resolution, colour, associated text), news (freshness, originality, diversity), local (location, type, rating, reviews, hours) and videos (language, text from speech).
Index selection uses the signals calculated earlier in indexing for each document it has to select or discard.
Signals calculated for a page during indexing are stored in the index and used both to decide whether the page gets indexed and, later, for ranking.
Each document in Google's index has pretty much all the signals calculated for it attached, for example quality signals plus the page's country and language, according to an illustration the speaker called an approximation of the real structure.
For classic Search, crawling means Googlebot, scheduling and robots.txt, with AI used in parts such as scheduling. Indexing is one big but not limitless index that calculates signals and understands more than words, with AI such as BERT. Serving uses hundreds of signals tailored to the moment, with AI such as RankBrain.
Google's first step in understanding almost any query is to detect its language, which tells Google roughly what content the user wants: a query in German suggests German content, a query in English English content.
In ranking, country and language signals help Google serve users the right content for their country and language.
To order candidates at retrieval, Google uses signals collected during indexing, and the first two are language and country.
Country and language are among Google's most important signals and have been used since Google's early days.
To order candidates at retrieval, Google uses signals collected during indexing, and the first two are language and country.
Each document in Google's index has pretty much all the signals calculated for it attached, for example quality signals plus the page's country and language, according to an illustration the speaker called an approximation of the real structure.
At retrieval, Google tries to match results to the user's language wherever possible: someone searching in Spanish does not necessarily want results in Italian.
In ranking, country and language signals help Google serve users the right content for their country and language.
Country is the second retrieval signal: a user searching from Switzerland wants cheese from Switzerland, not from Germany, and a user in Spain is poorly served by results targeting a South American country.
Country and language are among Google's most important signals and have been used since Google's early days.
Google called quality the most important of the signals used to order candidates at retrieval: a URL of high quality is more likely to be retrieved from the index for specific queries.
Each document in Google's index has pretty much all the signals calculated for it attached, for example quality signals plus the page's country and language, according to an illustration the speaker called an approximation of the real structure.
Google's ranking systems guide describes 'query deserves freshness' systems that show fresher content where it would be expected, which is narrower than a general preference for fresh content; refresh pages whose queries expect current information, and judge other refreshes by quality.
Freshness is a signal for queries that deserve fresh results ('query deserves freshness'): when a breaking event hits a city, such as possible closure of Barcelona's airport, users want really fresh results, not results from two weeks ago.
Combing Google's documentation for signals is not the best use of an SEO's time; creating content that users will like is a better one.
The opening keynote closed with the advice to think about UEO, user engine optimisation, next to SEO and GEO: focus on the user and the rest will follow.
For retrieval, Google uses signals attached individually to each document in the index.
Each document in Google's index has pretty much all the signals calculated for it attached, for example quality signals plus the page's country and language, according to an illustration the speaker called an approximation of the real structure.
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Make each page's language unambiguous by translating the template with the main content
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