For years, SEO had one job: get the click. Rank higher, win the blue link, drive the visit. Two changes Google made this summer quietly confirm that job description is no longer complete.
On May 7, 2026, Google pulled FAQ rich results out of Search entirely. Less than a month later, on June 3, 2026, it launched a dedicated AI Performance report inside Search Console the first official window into how often your pages show up inside AI Overviews and AI Mode. One change removed a SERP feature agencies had optimized around for years. The other gave site owners their first real data on the thing that’s been quietly replacing it: generative answers.
Neither update got a big keynote moment. Both are going to matter more than most of what Google announced this year. Here’s what actually happened, and what to do about it this quarter.
Part 1: The Death of FAQ Rich Results
What happened
On May 7, 2026, Google added a deprecation notice to the top of its FAQ structured data documentation. The expandable question-and-answer dropdowns that used to appear under organic listings are gone not throttled, not restricted to a subset of sites, gone. The rollback happens in three stages:
- May 7, 2026 — FAQ rich results stop appearing in Google Search results.
- June 2026 — The FAQ search appearance filter, the Rich Results report, and FAQ support in the Rich Results Test are removed from Search Console.
- August 2026 — FAQ rich result data is removed from the Search Console API entirely. Any dashboard or BigQuery pipeline still pulling that field will start returning nulls.
This isn’t a new restriction. Google had already limited FAQ rich results to “well-known, authoritative government and health websites” back in 2023. What changed in May is that even those remaining sites lost the feature. For most commercial websites, the practical loss happened three years ago this update just closes the door for good and cleans up the reporting tools around it.
What this doesn’t mean
Google did not deprecate FAQPage as a schema type, so the markup can remain part of your broader structured data and technical SEO implementation. The markup is still valid, it won’t throw errors, and Google has explicitly said unused structured data doesn’t cause ranking or indexing problems. You do not need to rip FAQ schema off your site this week.
What’s gone is the SERP real estate the visual bonus that made a listing bigger and more clickable. What’s not gone is the underlying idea that clearly labeled question-and-answer content helps something (a search engine, an AI model, a person skimming a page) find a direct answer fast.
What to actually do this quarter
- Don’t panic-delete your FAQ schema. Leaving it in place carries zero technical risk. Removing it does nothing to help you and adds unnecessary work.
- Stop treating FAQ sections as a rich-result tactic. If your FAQs exist purely to trigger a SERP dropdown, rewrite them to answer real pre-purchase and support questions instead. That content still gets crawled, still gets cited by AI systems, and still helps actual visitors it just won’t earn extra blue-link space anymore.
- Audit any automated reporting that references FAQ rich results. If your team pulls that field via the Search Console API into a dashboard or BigQuery export, update those calls before the August cutoff or you’ll get silent null values instead of an error.
- Shift local-business FAQ effort toward Google Business Profile Q&A. This is a separate surface, unaffected by the deprecation, and it’s still one of the more overlooked levers in local search most profiles are full of unanswered or incorrectly answered user questions.
- Keep writing direct, well-structured answers on the page itself, headline-first and with one question per heading. This is also a core part of learning how to rank your website in AI search engines. That’s the format AI systems lift from regardless of whether FAQ schema is attached, and it’s also just better content for a human skimming on mobile.
Part 2: Tracking Generative AI Impressions in Search Console
What launched
On June 3, 2026, Google shipped a dedicated Search Generative AI performance report inside Search Console’s Performance section, sitting alongside the standard Search results view. It’s the first purpose-built visibility into how often your pages appear inside AI Overviews, AI Mode, and the AI-generated features inside Discover.
Here’s what it actually shows:
- Impressions — how often a URL from your site appeared inside a generative AI feature.
- Pages — which specific URLs are being surfaced.
- Countries and devices — where and how that visibility is happening.
- Dates — hourly, daily, weekly, or monthly breakdowns.
Here’s what it doesn’t show yet: no clicks, no CTR, and no query-level data. You can see that you’re showing up you can’t yet see what that visibility is worth in traffic terms, or which exact prompts are surfacing you.
The rollout is limited — for now
Access started with a subset of UK-based properties, reportedly connected to pressure from the UK’s Competition and Markets Authority. A global rollout is planned but Google hasn’t given a date. If you open Search Console and don’t see a “Generative AI” tab under Performance yet, that’s expected it isn’t a setup issue on your end.
One more detail worth knowing: this data starts from May 18, 2026, with no historical backfill. You can’t retroactively see whether you were showing up in AI Overviews last year. Whatever baseline you want, you have to start capturing it now.
How to use it before click data arrives
- Check for the tab regularly, not just once. Rollout is phased and access can appear without an announcement.
- Cross-reference AI impressions against your existing Performance report for the same pages. A page with strong AI impressions but flat or declining organic clicks is a real signal it may be answering the query well enough that Google, or the user, doesn’t need the click.
- Use the page-level breakdown to find your “AI-visible” content set, then study what those pages have in common: structure, directness of answer, freshness, schema, source authority. That pattern is your current playbook for earning more of it.
- Treat the numbers as a floor, not a full picture. Impressions without clicks or CTR can’t tell you conversion value yet don’t over-index strategy on this data alone until Google adds the missing metrics.
Part 3: “Recognition” Is the New Ranking
Put both updates together and the shift is hard to miss. Google is simultaneously removing a feature built around getting more clicks (FAQ rich results) and building new infrastructure to measure visibility that generates no click at all (AI Overviews impressions). That’s not a coincidence it’s an acknowledgment that a growing share of queries now get answered on the results page, and traditional click-through rate is a shrinking slice of the real picture.
This is the core idea behind Answer Engine Optimization (AEO): optimizing not just to rank, but to be the source an AI system chooses to cite or paraphrase when it answers a question directly. A few things follow from that:
- Topical authority now compounds harder than individual keyword rankings. AI systems tend to draw from sources that cover a subject with depth and consistency, not single pages optimized for a single query. A thin FAQ page targeting one long-tail term is a much weaker AEO asset than a well-linked cluster of content that actually explains the topic.
- Being citable matters as much as being clickable. Clear, direct, well-attributed answers with a named author, a dated update, and specific facts or data are what generative systems tend to lift and reference. Vague, marketing-toned copy is harder to cite accurately, so it gets skipped.
- Zero-click visibility still has commercial value, even without a click. Being the cited source in an AI Overview builds brand recognition and trust with a buyer who may search your name directly later even if this specific session never lands on your site. That’s a genuinely different metric than a session, and most measurement stacks aren’t built to capture it yet.
- The fundamentals didn’t change — the scoreboard did. Original data, first-hand expertise, clear structure, and genuine authority were always what separated real content from filler. AEO doesn’t replace good SEO; it’s what good SEO looks like once part of the audience is an AI model instead of a person scrolling.
The Quarter-Ahead Checklist
- Leave existing FAQ schema in place do not remove it
- Rewrite thin FAQ sections built only for rich-result triggers into genuinely useful answer content
- Audit and update any Search Console API calls pulling FAQ rich result data before August 2026
- Move local FAQ effort toward Google Business Profile Q&A
- Check Search Console’s Performance section for a “Generative AI” tab, and check again if it isn’t there yet
- Start logging AI impression data now there’s no historical backfill before May 18, 2026
- Identify your pages already earning AI impressions and study what they have in common
- Build content in topic clusters, not single-page keyword targets, to strengthen topical authority
- Add named authorship, dates, and specific facts to key pages to make them easier for AI systems to cite accurately
The businesses that adjust their content and reporting now before click data eventually arrives in Search Console will have months of pattern-recognition on their own AI visibility that competitors starting later won’t have.
Sources
Google Search Central Blog — Introducing Search Generative AI performance reports in Search Console, June 3, 2026
Search Engine Journal — Google Drops FAQ Rich Results From Search, May 2026
The HOTH — Google Killed FAQ Rich Results: Why Your FAQ Content Still Matters
Evolv Agency — Google’s New Search Console AI Reporting: What It Shows and What to Do With It
PikaSEO — Search Console AI Performance Reports Arrive (2026)

Local SEO and AI Search (AEO & GEO) Specialist.
Building search visibility that converts into qualified demand.
Today, businesses need visibility on Google Maps and AI powered search and websites that actually convert visitors into leads. I am a Local SEO, AI Search & Conversion Rate Optimization (CRO) Specialist with 5+ years of hands on experience helping businesses turn underperforming websites into high converting growth engines. My work combines Local SEO, Technical SEO, Semantic SEO, GEO/AEO, and conversion focused landing page optimization to ensure brands are discoverable and profitable.
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I have delivered SEO and web growth projects across the US, UK, Australia, Canada, Finland, Germany, and the Czech Republic, working in industries such as local businesses (electrician, hvac, cleaning, Real estate, healthcare, B2B, eCommerce, SaaS, and environmental services.
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