Day 3: Serving: Ranking, Search Console, and Performance 92
Shown on screen 7
Google's Discover slide defined E-E-A-T: experience means first-hand, personal experience with the topic, expertise the necessary knowledge or skill, and authoritativeness the extent to which the creator or website is known as a go-to source for the topic.
Speaker GoogleIn Day 3, 11:45 · Uncovering Trustworthy Experiences on DiscoverEvidence slide photo
Used byglossary term E-E-A-T
Google's Discover slide said trust comes first: untrustworthy pages have low E-E-A-T however experienced, expert or authoritative they seem.
“untrustworthy pages will have low E-E-A-T no matter how Experienced, Expert or Authoritative they may seem”
Wording checked against the slide or recording
Speaker GoogleIn Day 3, 11:45 · Uncovering Trustworthy Experiences on DiscoverEvidence slide photo
Used byglossary term E-E-A-T
Google's marketing research talk reached the same advice as Search: optimise for people to win in generative AI search.
“Optimise for people to win in generative AI search”
Wording checked against the slide or recording
Speaker Pablo PérezIn Day 3, 15:30 · Mastering the messy middleEvidence slide photo, transcript
- Repeats D1-C058 Day 1: Optimising for people is optimising for generative AI Search.
Google's slide advised producing unique, helpful, human-centric content.
Speaker Pablo PérezIn Day 3, 15:30 · Mastering the messy middleEvidence slide photo
- Repeats D1-C055 Day 1: Myth: build content for every possible consumer need. Google's answer: prioritise unique perspectives…
Google's slide advised partnering with category opinion formers, such as YouTube creators, experts and institutions, who can give consumers extra reassurance.
Speaker Pablo PérezIn Day 3, 15:30 · Mastering the messy middleEvidence slide photo, transcript
Google's closing slide told site owners they should use AI, which can supercharge workflows, help with content creation and with website and customer management.
Speaker Gary IllyesIn Day 3, 16:00 · Wrapping all up: AI, Search, and making sense of everything.Evidence slide photo, transcript
Google's closing slide said to use AI responsibly because AI hallucinates, and, especially when creating content briefs with AI, to make sure not to add to the sea of AI slop already flooding the internet.
Speaker Gary IllyesIn Day 3, 16:00 · Wrapping all up: AI, Search, and making sense of everything.Evidence slide photo, transcript
Used byrequirement DEV-SPM-05
- Extends D2-C941 Day 2: Sites that use AI-generated images or videos should make sure they work for users, check them for…
Said on stage 54
Site owners do not need to list all synonyms of a term on a page, because Google already knows the synonyms and looks for them on pages too.
“you don't have to do that SEO meme of, like, list all the synonyms on your page”
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Used byrequirement DEV-INT-11
When Google already matches a term's variants, there is no need to add them to pages artificially; mention another name only where visitors might not understand otherwise.
“I wouldn't artificially just stuff those variations in there.”
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Used byrequirement DEV-INT-11
When Google does not treat a phrase as a synonym, such as 'Spanish cured ham' for Iberico ham, a page that wants to cover that phrase should use it in its text.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Google's recommendation for diacritics, non-English words, product names and spelling variants is to focus first on what users actually search for.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
Used byrequirement DEV-INT-11
Google said focusing on what users actually do makes more sense than trying to match what the search engine does.
Speaker John MuellerIn Day 3, 10:25 · Making sense of users' queriesEvidence transcript
In Lightning session K (Facets of quality), a community speaker argued that SEO is for humans: write for people and the problems they have, rather than to please Googlebot.
“SEO is for humans”
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
A community speaker recalled that around 2009 writers bent titles and phrases to include a keyword because their CMS counted keyword density, and said that hitting the ratio really worked at the time.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
Entering the Polish market late, against strong competition and with a small team, a community speaker's team could not be a 'department store' that covers everything, so it went really deep instead of going broad.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
To choose what to cover in depth, a community speaker's team used Google Trends to find what people in their market were interested in and then gave them that content.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
- Extends D2-C789 Day 2: Google presented three uses of Google Trends for content creation, marketing and SEO: keyword selection…
A community speaker reported that going deep instead of broad took the Polish edition of a large Spanish software-download website into the top three technology websites in Poland (period not stated).
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
With a much smaller team, the Polish edition of a large Spanish software-download website reached double the organic traffic of the site's English edition, a community speaker reported (period and measure not stated).
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
Because Googlebot is not a human, the speaker's team at the time thought more about Googlebot than about human readers, a community speaker said.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
A community speaker compared Googlebot to an inspector who cannot enter the shop and only looks through the window, seeing the page as ones and zeros, which the speaker linked to tokenization.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
Because a bot that counts things was easy to work around, SEOs made the facade of their sites nice and fancy instead of focusing on what was inside, sometimes with no real shop behind the facade, a community speaker said.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
Google updates such as Panda and Penguin made Google steadily better at seeing past the facade of a site, a community speaker said.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
With AI, Google can finally look inside the shop and check how a page's content matches its storefront, a community speaker said.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
Google's long-standing advice to write for people and give them what they want has become true in practice because Googlebot has become more and more human, a community speaker argued.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
- Repeats D1-C047 Day 1: Google's answer was that ML-based ranking systems are trained on content written by humans for humans, so…
In a community speaker's case study from the speaker's current company, a well-written, complex and complete article got 1,600,000 impressions, while an article written for a very specific audience got 46,000 impressions over the same period (data source and period length not stated).
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
The niche article in a community speaker's case study was written for a very specific audience: a group of friends who wanted to play a game, had problems with a public server and looked for alternatives.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
Despite far fewer impressions (46,000 against 1,600,000), the niche article in a community speaker's case study got 28 times more clicks than the comprehensive article over the same period.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
The niche article in a community speaker's case study worked because the team stopped to analyse how people use the company's products and what the products bring them, then wrote about it.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
A community speaker's exercise: step out of your shop, look at your site from across the street the way users do, and check what problems its pages solve.
“walk out of your shop. Stand on the other side of the street, look at the shop the way your users are looking at it”
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
If you cannot say what problems your pages solve for users, or the answer is 'it depends', you are optimising for the search engine rather than for people, and that will not work for long, a community speaker warned.
Speaker Community speakersIn Day 3, 10:45 · Lightning session K: Facets of qualityEvidence transcript
- Repeats D1-C013 Day 1: Ecosystem principle 4, incentivise high-quality content: content made for Search will not be successful.
Google's quality talk described quality as a ranking signal in its own right: a number calculated from many different parts (the word 'quality' is a repaired speech-to-text reading).
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said quality is one of the most important ranking signals, although Google uses hundreds of ranking signals (the word 'quality' is a repaired speech-to-text reading).
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
- Extends D3-C084 Day 3: The same quality signal that Google uses at retrieval is also used in ranking when results are served.
Google's quality talk defined content quality as the extent to which a human being put effort, originality, talent, skill and accuracy into creating the content.
“Quality is basically the extent to which a human being put effort, originality, talent, skill, and accuracy into creating content.”
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Used byglossary term Content quality (effort, originality, talent or skill, accuracy)
Google's quality talk said quality is part of the core systems and signals that go into Google's algorithm, which Google calls ranking systems.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said Google designs its ranking systems to identify the information people are most likely to find useful and reliable.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk showed five self-assessment questions (slide not photographed) that site owners can use to evaluate their own content, such as whether it is people-first or made mainly for search engines, and whether the author is an expert on the topic.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk pointed to page 21 of the Search Quality Rater Guidelines for its definition of content quality by effort, originality, talent or skill and accuracy, noting that the document is updated from time to time.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
- General Guidelines Google Search Quality Rater Guidelines (PDF, 11 September 2025) · checked 3 October 2026
- Extends D2-C311 Day 2: Gary Illyes pointed to Google's Search Quality Rater Guidelines as the detailed source on how Google thinks…
- Extended by D3-C265 Day 3: Google sometimes couples a core update with an update to its Search Quality Rater Guidelines.
Google's quality talk said effort, in the rater guidelines, is the extent to which a human being actively worked to create satisfying content, and that effort can be direct or indirect.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
- General Guidelines Google Search Quality Rater Guidelines (PDF, 11 September 2025) · checked 3 October 2026
Google's quality talk said originality means offering content that is not available on any other website or, where similar content exists elsewhere, adding more value to it.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said talent or skill means content created with enough talent and skill to give users a satisfying experience.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said content has to be accurate, and that accuracy matters most for YMYL topics and health topics.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk contrasted a commodity article, 'Top 10 things to consider when buying running shoes', with a non-commodity one, a wear pattern analysis of why certain running shoes collapse after 400 miles (slide not photographed).
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said commodity content is based on very common knowledge, could have been written by anyone and usually offers very little insight or additional value.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Used byglossary term Commodity content
Google's quality talk said non-commodity content offers a unique, experienced take, and advised writing content that readers will find very helpful and reliable.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Used byglossary term Commodity content
- Extends D1-C055 Day 1: Myth: build content for every possible consumer need. Google's answer: prioritise unique perspectives…
Google's quality talk said its article examples were illustrations, not a recipe: writing exactly that article is no guarantee that it will work.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said that in 2026 it is easy for anyone to create a large amount of commodity content, and encouraged attendees to try it once to see what the result looks like.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk called AI just a tool and asked how users would know whom to trust if AI lets anyone appear to be the absolute expert in a field.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk asked why users would read AI-generated content when they could ask an LLM the same questions directly.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk showed a surface-level example article (not photographed) that the speaker said Gemini could have generated, while stressing that humans have written such content for a long time too.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said that with LLMs anyone can write a top-10 shoe review without using the products, and questioned whether such reviews provide any real value.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said quality problems should be treated as quality issues, not as AI versus human content, because a lot of good AI-assisted or AI-written content exists.
“it's very important to think about these quality issues as quality issues and not AI versus human content.”
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Used byrequirement DEV-SPM-05
- Repeats D1-C210 Day 1: Google said it is not really trying to tell AI-written from human-written content, because it cares more…
- Repeated by D3-C697 Day 3: Google's Search Quality Rater Guidelines point out that the tool used to create content is not the problem…
Google's quality talk said good content can be created for literally any vertical, answering site owners who say they do not know how to become experts or make their content stand out.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk showed, as an example of strong content, a running-shoe review site that cut the shoes apart, examined the upper and the foam density under a microscope, took high-quality images, built a test rig and created its own metrics to compare shoes (site not named, slide not photographed).
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Google's quality talk said the speaker believes content in any vertical can go very far when its creators invest in their own knowledge, effort and expertise.
Speaker GoogleIn Day 3, 11:15 · How Google thinks about QualityEvidence transcript
Answering the common question whether to fix individual pages or the whole site after a core update, Google advised taking a close look at the site as a whole and trying to be objective.
Speaker GoogleIn Day 3, 12:00 · What are quality updatesEvidence transcript
Site owners should check whether the site overall, not just individual pages, delivers helpful, reliable, people-first content.
“you should check if your site overall, not just individual pages, is delivering content that's helpful, reliable, and people-first”
Speaker GoogleIn Day 3, 12:00 · What are quality updatesEvidence transcript
Nik Vujic said Google loves fresh, quality content, as a reason for large sites to refresh their content.
Speaker Nik VujicIn Day 3, 14:20 · Lightning session L: Understanding SERPs and your usersEvidence transcript
The reason given for optimising for people was that a human still makes the final purchase decision, so content has to be useful to that person.
Speaker Pablo PérezIn Day 3, 15:30 · Mastering the messy middleEvidence transcript
Google's Search Quality Rater Guidelines tell raters that any form of deception makes a page untrustworthy and earns it the lowest rating.
Speaker Gary IllyesIn Day 3, 16:00 · Wrapping all up: AI, Search, and making sense of everything.Evidence transcript
- General Guidelines Google Search Quality Rater Guidelines (PDF, 11 September 2025) · checked 3 October 2026
Google encouraged brainstorming and even creating content and images with AI, while staying mindful of what AI can do, because it sometimes lies to its users and that hurts a business and its Google rankings.
Speaker Gary IllyesIn Day 3, 16:00 · Wrapping all up: AI, Search, and making sense of everything.Evidence transcript
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 13
Google's SEO Starter Guide advises anticipating the different words readers search with (some search for 'charcuterie', others for 'cheese board') but not worrying about every variation, because Google's language matching systems relate pages to queries without the exact terms.
Publisher Google Search CentralAnnotates Day 3, 10:25 · Making sense of users' queries
Google's spam policies define keyword stuffing as filling a web page with keywords or numbers to manipulate rankings in Google Search, for example repeating the same words or phrases so often that it sounds unnatural.
“filling a web page with keywords or numbers in an attempt to manipulate rankings in Google Search results”
Publisher Google Search CentralAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
Google's guide to people-first content lists writing to a particular word count, in the belief that Google prefers one, as a warning sign of search engine-first content, and says Google has no preferred word count.
“Google has a preferred word count? (No, we don't.)”
Publisher Google Search CentralAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
Google's guide to people-first content lists producing lots of content on many different topics, in the hope that some of it performs well in search results, as a warning sign of search engine-first content.
Publisher Google Search CentralAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
Google's ranking systems guide lists Panda as a retired system: announced in 2011 to better ensure that high-quality and original content appears in search results, it became part of the core ranking systems in 2015.
Publisher Google Search CentralAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
Google's guide to people-first content says its automated ranking systems are designed to prioritise helpful, reliable information created to benefit people, not content created to manipulate search engine rankings.
Publisher Google Search CentralAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
Google's ranking systems guide says the helpful content system, announced in 2022 as the Helpful Content Update to show original, helpful content written by people, for people, became part of the core ranking systems in March 2024.
Publisher Google Search CentralAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
Google's helpful-content guidance lists effort, originality, talent or skill and accuracy as the main-content attributes search quality raters are trained to evaluate, and says using generative AI to produce large amounts of text without manual oversight or curation represents little to no effort.
Publisher Google Search CentralAnnotates Day 3, 11:15 · How Google thinks about Quality
Used byrequirement DEV-SPM-02glossary term Content quality (effort, originality, talent or skill, accuracy)
Google's guide to optimizing for generative AI features contrasts commodity content, such as '7 Tips for First-Time Homebuyers', with non-commodity content that gives unique expert or experienced takes beyond common knowledge, such as a first-hand account of waiving a home inspection.
Publisher Google Search CentralAnnotates Day 3, 11:15 · How Google thinks about Quality
Used byglossary term Commodity content
Google's helpful-content guidance says product reviews build trust when readers understand how many products were tested, what the test results were and how the tests were conducted, with evidence of the work such as photographs.
Publisher Google Search CentralAnnotates Day 3, 11:15 · How Google thinks about Quality
Google's Discover documentation says Discover uses many of the same signals and systems as Search to determine what is helpful, people-first content.
Publisher Google Search CentralAnnotates Day 3, 11:45 · Uncovering Trustworthy Experiences on Discover
Used byglossary term Google Discover
Google's helpful-content guidance asks whether content presents information in a way that makes you want to trust it, such as clear sourcing, evidence of expertise and background about the author or the site, for example through an author page or the site's About page.
Publisher Google Search CentralAnnotates Day 3, 15:30 · Mastering the messy middle
Google's guide for generative AI features says creating content that people find unique, compelling and useful will likely influence a website's presence in generative AI search.
Publisher Google Search CentralAnnotates Day 3, 15:30 · Mastering the messy middle
Analysis by the author 18
Write each page in the words its audience uses and drop synonym lists added for search engines: Google adds synonyms at query time, and blocks of keyword variants read as keyword stuffing, which Google's spam policies prohibit.
Author Ibrahim AnjroAnnotates Day 3, 10:25 · Making sense of users' queries
Used byrequirement DEV-INT-11
Before writing, search for each variant of a key term: if the variants bring up the same entity or near-identical results, use the term your audience uses; if one variant returns unrelated results, write that variant on the page.
Author Ibrahim AnjroAnnotates Day 3, 10:25 · Making sense of users' queries
Do not treat keyword-density or word-count scores from CMS plugins as editorial targets: Google's spam policies treat filling a page with keywords to manipulate rankings as keyword stuffing, and Google says it has no preferred word count.
Author Ibrahim AnjroAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
Impressions and business value can diverge sharply, so judge each article by its clicks and conversions, not by its impressions alone, before deciding which content to expand or retire.
Author Ibrahim AnjroAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
For content planning, start briefs from a concrete problem a real group of users has with or around your product, such as a failing setup they need an alternative for, rather than from a broad keyword the page should rank for.
Author Ibrahim AnjroAnnotates Day 3, 10:45 · Lightning session K: Facets of quality
For content and development teams: plan improvements across content quality, internal links, page experience and freshness together; a project that pushes a single metric, such as keyword density or one link score, matches what Google said does not work.
Author Ibrahim AnjroAnnotates Day 3, 11:15 · How Google thinks about Quality
Use the rater guidelines as a description of what Google's ranking systems aim to reward, not as a checklist of ranking factors: rater scores evaluate Google's changes and are not used to rank any particular site.
Author Ibrahim AnjroAnnotates Day 3, 11:15 · How Google thinks about Quality
The talk's originality test ('are you adding more value') matches Google's helpful-content question on content that draws on other sources, while the rater guidelines ask raters, where other websites have similar content, to consider whether the page is the original source; aim to be the original source, and add substantial value where you build on others.
Author Ibrahim AnjroAnnotates Day 3, 11:15 · How Google thinks about Quality
For editorial teams, the test for an AI-assisted article is the same as for any article: whether it adds effort, originality, skill and accuracy beyond what an LLM would answer directly; disclosure of AI use alone neither saves nor sinks a page.
Author Ibrahim AnjroAnnotates Day 3, 11:15 · How Google thinks about Quality
For content teams: turn reviews into non-commodity content by testing the products yourselves, publishing your own photos and measurements, explaining the test method and defining comparable metrics across products; a list of common buying tips is the commodity version.
Author Ibrahim AnjroAnnotates Day 3, 11:15 · How Google thinks about Quality
On 1 October 2026, during the event, Google updated its generative AI content guide with rater-guideline material to keep its documentation in sync with its developer-event presentations, and the helpful-content page, updated the same day, carries the effort, originality, talent or skill and accuracy definitions from the quality talk; cite those pages rather than the talk.
Author Ibrahim AnjroAnnotates Day 3, 11:15 · How Google thinks about Quality
After a core update drop, plan a site-wide quality review instead of page-by-page fixes or a technical 'recovery': have someone outside the team assess the site, compare it with the pages that gained, and test whether users can finish their task, for example with short satisfaction surveys.
Author Ibrahim AnjroAnnotates Day 3, 12:00 · What are quality updates
Content teams can feed the new Q&A attribute from real customer questions (support tickets, reviews, sales chats), answered factually per product; this is the detailed, merchant-owned data Google said AI shopping answers need.
Author Ibrahim AnjroAnnotates Day 3, 13:40 · Shopping on Search: Beyond the blue links
For content planning, read query groups (and their trending up and trending down views) as intent themes: write for the intent the group stands for, not for each spelling or phrasing variant in it.
Author Ibrahim AnjroAnnotates Day 3, 13:55 · Inside Search Console: What’s New & How to Use It
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.
Author Ibrahim AnjroAnnotates Day 3, 14:20 · Lightning session L: Understanding SERPs and your users
- Extends D2-C656 Day 2: Freshness is a signal for queries that deserve fresh results ('query deserves freshness'): when a breaking…
For high-involvement products and services, make the double-check easy on your own site: company details, reviews, cancellation and return policies, guarantees and contact options should be on crawlable, indexable pages linked from product and service pages.
Author Ibrahim AnjroAnnotates Day 3, 15:30 · Mastering the messy middle
Content that helps AI-assisted shoppers names the few features that decide a category (for a phone, battery and camera), compares options on them and shows what similar buyers chose, which matches the ease, assistance and suggestion benefits Google described.
Author Ibrahim AnjroAnnotates Day 3, 15:30 · Mastering the messy middle
Show only real authors with real photos and verifiable profiles; never invent author personas or use AI-generated headshots, which Google's raters treat as deception.
Author Ibrahim AnjroAnnotates Day 3, 16:00 · Wrapping all up: AI, Search, and making sense of everything.
Used byrequirement DEV-SPM-05
- General Guidelines Google Search Quality Rater Guidelines (PDF, 11 September 2025) · checked 3 October 2026