New AI Insights: Turn complex local search data into clear actions in minutes
About Support Login
Back to Blog
Local SEO 5 MIN READ

FAQ Rich Results Are Gone: Here\'s What to Do With All That Structured Data

Victor
Agency Team
May 21, 2026
FAQ Rich Results Are Gone: Here\'s What to Do With All That Structured Data
On May 7, 2026, Google officially removed FAQ rich results from both desktop and mobile search engine results pages. Alongside the removal, FAQ performance data disappeared from Search Console performance reports. The feature that once expanded your search listing with a set of collapsible questions and answers  giving you additional real estate on the results page and a measurable click-through rate lift  is gone.For many sites, particularly in professional services, healthcare, e-commerce, and SaaS, FAQ schema has become a standard part of the structured data toolkit. Removing it raises a practical question that goes beyond \"should I delete the code?\" The more important question is: what should happen to the content itself?The answer is not to remove it. It is to restructure it for the format that has replaced FAQ snippets as the primary destination for question-and-answer content: AI Overviews and conversational AI citation.Why Google removed FAQ rich resultsFAQ rich results were introduced to surface structured question-and-answer content directly on the results page, reducing the need for users to click through to find answers. They worked, in that sense — but they worked too well. Traffic data consistently showed that FAQ snippets, like featured snippets before them, accelerated zero-click behaviour. Users got the answer from the expanded snippet and moved on.As Google transitions to AI Mode and generative search, the results page is being stripped of static structured content features that compete with the new interface. FAQ snippets, How-to rich results, and similar features are being retired because their function  surfacing direct answers  is now handled more comprehensively and dynamically by AI Overviews.This is not Google penalising sites that used FAQ schema. It is Google removing a display feature that no longer fits the interface it is building. The schema itself remains parseable and the underlying content remains valuable. What changes is where and how that value is delivered.Why the content still matters — just in a different formHere is the important distinction that many site owners will miss in the immediate reaction to this removal: the questions and answers you have built into your FAQ schema are exactly the type of content that AI Overviews are designed to cite.AI systems that generate search overviews are looking for clear, specific, factual answers to common questions. A well-written FAQ section that answers \"how long does the service take?\", \"what does the initial consultation include?\", and \"do you offer payment plans?\" is directly usable content for a generative summary. The difference is that AI systems do not read that content through a schema markup lens  they read it as natural language, the same way they read everything else on the page.This means that the strategic response to the FAQ rich result removal is not to archive your questions-and-answers. It is to make them more readable and more extractable by removing their dependency on a specific schema format and integrating them naturally into your page content.Furthermore, FAQ schema even without the rich result display may continue to help AI agents and crawlers understand the question-and-answer structure of your content. Google has not stated that the FAQ schema is harmful or that it should be removed. It has simply discontinued the SERP display feature. Keeping the schema while restructuring the visible content for natural language extraction is a reasonable approach for most sites.How to repurpose your FAQ contentConvert FAQ blocks into H2 or H3 answer-first prose sections. Rather than a collapsible FAQ widget at the bottom of a page, integrate each question as a heading and write a clear, direct answer in the paragraph immediately below it. The heading answers the question visually for human readers. The paragraph delivers the answer in a format that AI systems can extract as a self-contained, coherent unit.For example, instead of a collapsed FAQ entry:Q: How long does the installation take? A: Most installations are completed within one working day.Structure the page content as:How long does installation take?Most standard installations are completed within a single working day. Complex configurations including multi-system setups or installations requiring structural modifications — typically take two to three days. We provide an estimated timeline during the initial survey visit before any work begins.The second version is richer, more specific, and contains the kind of contextual detail that makes it a high-quality citation candidate.Make each answer self-contained. AI systems frequently extract single sections from pages and present them independently of surrounding content. Each answer in your restructured content should be understandable without the context of the sections before or after it. Avoid answers that begin with \"As mentioned above...\" or \"Building on the previous point...\" — these are extraction failures waiting to happen.Use question-style headings naturally throughout your content. The removal of FAQ rich results does not mean questions should disappear from your content strategy. It means they should be distributed through your page structure as natural section headings rather than confined to a dedicated FAQ block. A service page that uses question-style H2 and H3 headings throughout \"What does the service include?\", \"Who is this suitable for?\", \"How do I get started?\"  is structurally aligned with how AI systems extract and cite content.Review your meta descriptions and page titles for question intent alignment. With FAQ snippets gone, your meta description carries more weight in communicating the nature of your content on the results page. For pages with significant question-and-answer content, reflect this in the meta description: \"Find out how X works, what it costs, and how to get started\" is more useful than a generic summary.What to do in Search ConsoleThe removal of FAQ rich results affects your Search Console data in two ways that are worth understanding.First, the FAQ performance data that was previously reported under \"Search Appearance\" filters has been removed. If you were tracking impressions and clicks attributed to FAQ rich results, that data no longer appears. Do not interpret its absence as a traffic loss — it is a reporting change, not a traffic event.Second, any coverage errors related to FAQ schema in your Search Console coverage report can now be de-prioritised. If your site has FAQ schema validation errors that have been sitting in your error queue, they are no longer driving a rich result that could be improved. You can choose to fix them for schema hygiene purposes, or choose to migrate away from the schema format as part of the broader content restructuring process.The broader signal this removal sendsFAQ rich results are not the only traditional SERP feature being retired as Google transitions to AI Mode. How-to rich results have also been scaled back, and the direction of travel is clear: static structured markup features that served as shortcuts to the results page are being replaced by generative systems that extract, synthesise, and present information dynamically.The implication for structured data strategy is not to abandon schema markup — it remains valuable for entity definition, Knowledge Graph integration, and local business data. The implication is to stop thinking of schema as a tool for earning specific display features and to start thinking of it as part of a broader machine-readability infrastructure. Schema helps AI systems understand what your content is about and how it is structured. That function remains valuable even when no visible rich result is attached to it.The opportunity in the transitionThe businesses that respond to FAQ rich result removal by simply deleting their schema and their FAQ content will lose ground. The businesses that respond by restructuring that content into natural-language, extractable, citation-ready prose will find that the same information becomes more useful to AI systems than it ever was as a collapsed schema widget.The questions your customers ask have not changed. The format in which those questions are best answered and best cited has.
Victor

About the author

Agency Team is a growth engineer specializing in search engine optimization, technical web audits, and generative search visibility pipelines. He designs high-performing digital marketing systems for local brands and real estate platforms.