FAQ Rich Results Ended: What Publishers Should Remove, Keep and Re-measure
Google ended FAQ rich results. Audit obsolete markup and dependencies, preserve useful reader answers, and annotate the display change before comparing performance.
From this desk
Start with the most useful page
The featured page offers a strong introduction. The remaining cards help readers move through this editorial section without turning the archive into a service menu.
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Use the subject desks for focused browsing, or continue to the complete chronological archive below.
SEO
Crawling, content, and measurement
Reporting and practical analysis for technical, on-page, content, and publishing decisions.
AEO & AI Search
Answers, citations, and visibility
Platform changes, retrieval behavior, source attribution, and measurement without unsupported promises.
Research
Tests, methods, and evidence
Original protocols, observations, evidence reviews, and the limits on what each result establishes.
Workflows
APIs, automation, and verification
Implementation stories with reproducible inputs, failure states, evidence, and stopping conditions.
Complete archive
Every story, newest first
Open a story for its complete evidence, examples, limitations, author information, and reader discussion.
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How to Evaluate an SEO or GEO Tool Without Accepting Its Score as Google Data
Evaluate SEO and GEO scores by their inputs, collection method, freshness, weighting, coverage, validation, and the decision they actually change.
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llms.txt and Google Search: What the File Does Not Change
Google says llms.txt is not needed and has no effect on Search visibility or rankings. Learn what the proposal is and how to test it without replacing established controls.
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Search, Agent and Training Bots: A Practical Access Policy for Publishers
Build a crawler policy by purpose and named bot, with separate controls for search discovery, user-directed agents, training, verification, and server protection.
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Google, Bing and ChatGPT Report Different AI Visibility Signals
Use a five-layer crosswalk to separate crawler access, eligibility, AI appearances, referrals, and on-site outcomes across Google, Bing, and ChatGPT.
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Google Search Console’s Generative AI Report: What You Can Learn
Google’s beta report isolates AI Overviews and AI Mode impressions. Learn what the data establishes, what it cannot prove, and how to build a repeatable monitoring baseline.
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The evidence-led SEO publishing guide
A complete operating guide for defining the reader job, classifying claims, collecting evidence, adding information gain, reviewing skeptically, publishing, and maintaining the page.
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How to audit a new website: a priority-first SEO checklist
Audit a new website in release order: clear discovery blockers, define page jobs, test representative templates, verify performance and measurement, then resolve every P0 and P1.
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How to make content easier to cite in AI search
No page can force an AI citation. This guide shows how to meet ordinary eligibility requirements, build evidence passages that travel, and measure retrieval without ranking promises.
A useful standard
What every story should make clear
SearchEngineAnswer is an independent publication. Stories should help a reader understand what changed, what the evidence supports, and what to do next.
The reader job is explicit
A story should answer a focused question or support a concrete decision rather than merely announce a topic.
Sources remain inspectable
Material facts stay close to current primary documentation, reproducible evidence, or clearly attributed reporting.
Updates retain context
Meaningful changes, uncertainty, corrections, and publication dates remain visible so readers can judge freshness.
References and next steps