On May 7, 2026, Google removed FAQ rich results from Search. It was a single entry in the documentation, followed by a wave of panicked threads from SEOs watching their Search Console data go dark. Within days, the “FAQ schema is dead” takes were everywhere.
They were wrong. Here is what actually changed and what B2B tech marketers should do about it.
Key takeaways
- FAQ rich results stopped appearing in Google Search on May 7, 2026
- Google will retire related Search Console reporting in June and API support in August
- FAQPage structured data remains valid and is not being removed
- AI platforms including Perplexity and ChatGPT continue to parse and cite FAQ-marked content
- B2B tech companies should keep clean FAQ markup in place, audit for quality, and implement as part of a broader structured data strategy
What Google removed, and what it kept
The feature that disappeared is the visual one: the expandable accordion dropdowns that used to appear beneath certain organic listings, showing question-and-answer content directly in the search results page. That treatment is gone, and it is not coming back. Google will also retire the FAQ rich result report in Search Console in June, and pull API support in August.
What Google did not remove is the underlying markup standard. FAQPage structured data remains a valid Schema.org type. Google’s own updated documentation states the markup can stay in place. The schema itself was not deprecated, only the SERP feature built on top of it.
Why did Google remove rich results?
This removal did not come from nowhere. The deprecation completes a process that began in August 2023, when Google restricted FAQ rich results to a narrow set of government and health sites. The reason it gave then, and the reason implicit in the full removal now, is consistent: FAQ schema had been systematically abused.
Marketers had learned that adding FAQ sections to pages expanded their SERP real estate, so they did exactly that. Many of them, regrettably, were less concerned about whether the questions were genuine, whether the answers served users, or whether the content bore any meaningful relationship to the rest of the page. Search results filled up with padded accordion blocks that looked the same across thousands of sites.
The removal of the rich result feature is a signal about that abuse, not a signal about the value of well-structured Q&A content.
What AI engines do with FAQ markup
This is where the story gets more relevant for B2B teams thinking about AI search visibility.
AI platforms including Perplexity, ChatGPT search, and Google AI Overviews crawl and parse structured data actively. FAQPage schema is among the markup types with the highest AI citation rates, precisely because it presents information in the question-and-answer format that generative systems are built to extract and synthesize. When an AI engine encounters a page with clean FAQPage markup, it gets two things at once: confirmation that the content is structured as Q&A, and a machine-readable version of the specific pairs it contains.
PerplexityBot and the crawlers powering various retrieval-augmented generation systems continue to parse this markup. The absence of a Google SERP feature does not change that. In practical terms, FAQ schema has shifted from being a tool for earning visual SERP enhancements to being a signal for AI citation eligibility. That “second” role is growing, not shrinking.
The content layer and the schema layer each do different work here. The visible answer copy is what AI platforms quote. But the structured markup is what helps them find the content, interpret it correctly, and trust it. Both of these matter.
Three recommendations for B2B tech companies
1. Do not remove the markup from well-implemented pages.
Google has stated that unused structured data does not cause problems for Search, and its documentation explicitly notes that FAQ markup can stay in place. Stripping it from existing pages removes a signal that non-Google systems still parse, with no benefit to Google rankings. If the FAQ content genuinely reflects what is on the page, the markup should stay.
2. Audit for quality, not volume.
The pattern that got this feature killed (padding, keyword-stuffed answers) is also the pattern least likely to earn AI citations. Five to ten well-researched questions addressing genuine buyer concerns outperform twenty generic ones. For B2B tech specifically, this means FAQ sections on solution pages, use-case landing pages, and long-form pillar content, where the questions map directly to real evaluation criteria. Each answer should be able to stand alone if extracted by an AI system: direct, complete, and specific.
3. Implement FAQ schema as part of a compound structured data strategy.
Nesting FAQPage within an Article schema creates a compound signal that tells AI engines both the content type and the specific Q&A pairs the page contains. This improves extraction confidence across platforms. For B2B tech companies building content programs with AI visibility in mind, this kind of layered implementation is the difference between content that gets cited and content that does not appear in AI-generated answers at all.
The broader pattern
Google’s removal of FAQ rich results fits a consistent pattern in how the company has handled structured data features over time. HowTo rich results were deprecated from desktop in 2023. In June 2025, Google retired seven additional structured data types on the same reasoning. Those features were no longer adding user value and had been compromised by scaled SEO tooling.
The underlying logic is the same each time: when a rich result feature becomes a gaming surface, Google removes the feature. The markup specification does not disappear with it, but the reward for hollow implementation does.
For B2B tech marketers, the right read on this is recalibration. If your FAQ markup genuinely reflected your content, you’ve lost a visual SERP treatment you were unlikely to qualify for anyway after 2023. You haven’t lost a signal that still matters where your buyers are increasingly starting their research.
Inspired Marketing helps B2B tech companies build content programs that earn SEO, AEO & GEO visibility in both traditional and AI-powered search. Get in touch for a custom AI visibility audit and strategy session.
