FAQ Schema After Google Dropped FAQ Rich Results

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On May 7, 2026, Google stopped showing FAQ rich results in Search. The expandable question-and-answer dropdowns under a search result are gone for every site, and Google removed the FAQ rich result documentation the following month, according to its Search Central changelog.

For most of the web the feature had been gone since August 2023, when Google limited FAQ rich results to well-known, authoritative government and health sites. Some treatment center sites fell inside that health exception, which is why their FAQ dropdowns kept showing into this year.

So marketing directors at treatment centers are asking us two questions. Should we strip the FAQ blocks off our pages? And does FAQ schema still help with visibility in ChatGPT, Google AI Overviews, and AI Mode?

Our answer: keep the visible FAQ sections that answer real questions, leave the markup alone, and stop treating FAQ schema as a ranking or citation lever. This piece covers what changed, what the AI citation research shows, and how we handle FAQ content inside our AEO program for treatment centers.

Key Takeaways

  • Google stopped showing FAQ rich results on May 7, 2026, and removed the documentation in June. FAQPage markup is still valid Schema.org, but it no longer earns a search feature.
  • Most AI-cited pages carry some structured data, but a controlled Ahrefs test of 1,885 pages found adding schema produced no clear citation lift in AI Overviews, AI Mode, or ChatGPT.
  • The visible FAQ section is the part that matters. SE Ranking found pages with FAQ sections in their content averaged 4.9 AI Mode citations versus 4.4 without, while FAQ schema showed no ChatGPT advantage.
  • Keep FAQ sections where they answer questions families actually ask, write each answer so it stands on its own, and update answers when facts change.
  • Measure FAQ content with AI citation tracking and the generative AI performance report in Search Console, not FAQ rich result impressions.

What Google changed, and when

Google’s own documentation lays out the sequence in three steps.

  • August 2023. FAQ rich results limited to well-known, authoritative government and health-focused sites. HowTo rich results were cut back at the same time (Google Search Central blog).
  • May 7, 2026. FAQ rich results stop appearing in Google Search for every site.
  • June 2026. Google removes the FAQ rich result documentation because the feature is no longer shown.

None of those steps was a penalty. If a treatment center’s FAQ dropdowns disappeared in May, the feature ended; the site did not lose standing.

DEFINITION

FAQ rich result, FAQPage schema, and a visible FAQ section. Three different things that get lumped together. The rich result was Google’s expandable display in search results, and it is gone. FAQPage schema is the JSON-LD markup that describes questions and answers, and it is still valid Schema.org.

The visible FAQ section is the questions and answers a reader sees on the page. On WordPress sites using the Rank Math FAQ block, the visible section and the markup ship together, so the real decision is about the content, not the code.

With the rich result gone, the only remaining case for FAQ schema is AI visibility. That is where the research gets more interesting than the posts claiming schema is the key to AI citations.

What the AI citation data says about FAQ schema

Three kinds of evidence are worth separating: how common structured data is on cited pages, what happens when pages add it, and how FAQ markup compares with visible FAQ content.

Structured data is common on cited pages

SE Ranking found about 65 percent of pages cited by Google AI Mode and 71 percent of pages cited by ChatGPT include structured data, per its structured data research. Ahrefs found AI-cited pages were almost three times more likely to have JSON-LD than pages that were not cited.

Those are correlations. Sites that add schema also tend to invest in technical SEO, content, and links, and those investments are what get pages cited.

Adding schema did not move citations in a controlled test

Ahrefs tracked 1,885 pages that added JSON-LD between August 2025 and March 2026 and compared them with matched control pages. In its schema and AI citations study, AI Mode and ChatGPT changes were statistically indistinguishable from zero.

AI Overview citations fell 4.6 percent relative to controls, a small decline Ahrefs could not attribute to schema. The caveat: every page in the study was already heavily cited, so the data cannot say whether schema helps pages AI systems have not found yet.

FAQ schema versus FAQ content

SE Ranking’s study of 216,524 pages found pages with FAQ schema averaged 3.6 ChatGPT citations versus 4.2 for pages without it, as Search Engine Journal reported. Its AI Mode research found pages with FAQ sections in their main content averaged 4.9 citations versus 4.4 without.

One likely reason for the split: searchVIU tested five AI systems (ChatGPT, Claude, Perplexity, Gemini, and Google AI Mode) and found none extracted JSON-LD when fetching a page live. They read the visible HTML. Results depend on the fetching tool, so treat it as a strong tendency rather than a rule.

FAQ schema and AI citations in the published research

4.9 vs 4.4

AI Mode citations, pages with vs without FAQ sections (SE Ranking)

3.6 vs 4.2

ChatGPT citations, pages with vs without FAQ schema (SE Ranking)

1,885

Pages tracked after adding schema, with no clear citation lift (Ahrefs)

Google’s position matches the data. Its guide to optimizing for generative AI features says structured data isn’t required for generative AI search and there’s no special schema.org markup to add, while still recommending structured data as part of overall SEO.

OPERATOR INSIGHT

The FAQ content is the asset, and the markup is a free byproduct of how Rank Math builds the block.

We keep FAQ blocks on our own posts because families and buyers ask the same questions over and over, and a clear answer on the page is useful whether or not an AI system cites it. We don’t pitch FAQ schema to clients as a citation lever.

What to do with FAQ blocks on a treatment center site

Four decisions cover most sites.

Leave the markup in place

Stripping FAQPage schema costs developer time and gains nothing measurable. The Ahrefs test found no clear benefit or harm on already-cited pages, and the Rank Math FAQ block outputs the markup alongside the visible section anyway.

The exception is hand-coded JSON-LD that no longer matches the visible text. Markup describing questions the page doesn’t show helps no one, so fix it or remove it.

Keep FAQ sections that answer real questions

The questions worth answering on a treatment center page are the ones admissions hears every day: whether a plan is accepted, what happens on admission day, whether family can visit, what to bring, and how a level of care is structured.

Pull them from admissions call notes and Search Console queries rather than a keyword tool. A question a real parent asked is worth more than a keyword variation.

Cut FAQ blocks that exist only for search

An FAQ block bolted onto a thin page does not make the page more citable. If the questions repeat the body copy, or the same five questions appear on every service and location page, rewrite them for that page or remove them.

Stop reporting FAQ rich results

Any report still tracking FAQ rich result impressions is tracking a feature that no longer exists. Replace it with AI citation tracking on the prompts that matter and Google’s generative AI performance report in Search Console.

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How to write FAQ answers people and AI systems can use

Google’s AI guide says you don’t need to write in a special way for AI search or break content into tiny chunks. The habits that make an answer useful to a worried parent also make it easy to quote.

Answer in the first sentence. If a family asks whether you accept a specific plan, start with yes, no, or it depends on the plan, then explain. Our answer-first placement piece covers the same pattern for body sections.

Give the answer enough room. SE Ranking found sections of 120 to 180 words averaged 4.6 ChatGPT citations versus 2.7 for sections under 50 words. A two-line FAQ answer rarely carries enough to cite.

Keep body headings direct. In the same study, question-style H1s and H2s underperformed straightforward headings (3.4 versus 4.3 citations). Questions belong inside the FAQ block; body headings work better as plain labels.

Keep answers current. Pages updated within three months averaged 6 ChatGPT citations versus 3.6 for outdated pages. When a payer contract, program schedule, or visiting policy changes, update the FAQ that week.

DO

  • Answer the question in the first sentence, then explain.
  • Pull questions from admissions calls and Search Console queries.
  • Write each page’s FAQ for that page’s program or topic.
  • Update answers when payer, program, or policy details change.
  • Leave FAQPage markup in place where the Rank Math block outputs it.

DON’T

  • Add FAQ blocks to thin pages as a ranking tactic.
  • Repeat the same questions across service and location pages.
  • Report FAQ rich result impressions as a KPI.
  • Promise outcomes, success rates, or the best treatment in an answer.
  • Describe individual patients or their outcomes in an answer.

The rules in that list about claims and patients come from law, not style preference, which is the next section.

What the research says about questions

Studies agree that questions and longer queries are where AI answers show up.

Where AI answers show up

57.9%

Of question queries triggered an AI Overview (Ahrefs, 146M results, Nov 2025)

15.5%

Of non-question queries triggered one (Ahrefs)

3x

Average AI Mode search length vs. a traditional query (Google, May 2026)

Ahrefs. Ahrefs’ analysis of 146 million search results, published November 2025, found AI Overviews on 57.9% of question queries versus 15.5% of non-question queries. Single-word queries triggered one 9.5% of the time; queries of seven or more words, 46.4%. Medical YMYL queries triggered them 44.1% of the time.

Ahrefs also grouped queries using categories it attributes to Google’s own classifiers. “Reason” queries, the ones asking why, had the highest rate at 59.8%, followed by yes-or-no questions at 57.4% and definitions at 47.3%.

Pew Research Center. Pew’s July 2025 browsing study found 60% of searches that began with question words such as who, what, or why produced an AI summary, compared with 8% of one- or two-word searches.

Google. Google’s May 2025 AI Mode update says AI Mode uses query fan-out, breaking a question into subtopics and searching for each. Its May 2026 AI Mode report says the average AI Mode search is triple the length of a traditional query.

DEFINITION

Query fan-out. Google’s technique of breaking a single AI Mode question into several related searches, running them, and combining the results into one answer. A page can be cited because it answers one of those sub-questions well, even if it doesn’t match the original question’s wording.

What Google says about writing for AI

Google has been direct about this. Its AI optimization guide, added in May 2026, says you don’t need to write in a specific way just for generative AI search, and that AI systems understand synonyms and general meanings.

Three statements from Google: no need to write in a specific way for generative AI search; separate content for every search variation, including fan-out queries, can fall under scaled content abuse; and no special schema is needed for AI Overviews or AI Mode.

The same guide warns that creating separate content for every variation of how people might search, including fan-out queries, to manipulate AI answers falls under its scaled content abuse policy. Its AI features documentation adds that there’s no special schema needed to appear in AI Overviews or AI Mode.

Google’s helpful content guidance asks whether content provides a substantial, complete description of the topic, and warns against pages that promise to answer a question that has no answer.

COMMON MISTAKE

One page per question. A team takes a list of questions families ask, such as “Does insurance cover detox?”, “How long is detox?”, and “Is detox painful?”, and builds a separate page for each, each one a few paragraphs long.

Google names this pattern as a scaled content risk. Put related questions on the page that covers the topic, such as the detox program page, where the answers support each other and the reader has a next step. Our compound-prompt content model covers how to group them.

How to write FAQ sections that hold up

Source questions from admissions, not keyword tools. Ask the admissions team for the questions families ask on calls, in their words. Add questions from intake forms, reviews, and email.

Answer first, then explain. Start each answer with a direct sentence that stands on its own. Our guide to the 40-word answer block covers the format.

Give enough depth. SE Ranking found mid-length sections outperformed very short ones in ChatGPT citations. A one-line answer rarely covers a real family question; two or three short paragraphs often do.

Be specific to the facility. “Yes, we admit seven days a week, including weekends” is more useful than “Admission times vary.” Specific, verifiable facts are what an AI answer can repeat.

Keep answers current. Insurance, programs, and policies change. SE Ranking found recently updated pages averaged more ChatGPT citations, and outdated answers mislead families.

Bar chart of average ChatGPT citations from SE Ranking's study of 216,524 pages. Sections of 120 to 180 words averaged 4.6 versus 2.7 for sections under 50 words. Pages updated within three months averaged 6.0 versus 3.6.

Place FAQs where the topic lives. Detox questions on the detox page, insurance questions on the insurance page. A single site-wide FAQ page can work as an index, but the answers belong in context.

OPERATOR INSIGHT

Treat the FAQ section as the admissions team’s most common answers, published. When a family calls already knowing the answer to the first five questions, the call moves faster and the website did its job.

Review the FAQs with admissions each quarter. New questions show up when payer rules, programs, or local conditions change.

Compliance rules still apply to FAQ answers

FAQ answers are marketing claims like any other copy on the site, and the stakes are higher for addiction treatment. The Opioid Addiction Recovery Fraud Prevention Act of 2018 lets the FTC seek civil penalties for deceptive practices involving substance use disorder treatment services.

The FTC’s Health Products Compliance Guidance expects health claims to be backed by competent and reliable scientific evidence. In an FAQ, that rules out guaranteed recovery, unsupported success rates, and superlatives like the best rehab in the state.

Keep answers about how the program works, what insurance typically covers, and what families can expect. Leave individual patient stories out of FAQs; HIPAA generally requires written authorization before a covered entity uses patient information in marketing.

How to measure whether FAQ content is working

Three checks replace the old rich result report.

  • Citation tracking. Run the prompts families actually use (for example, does a specific plan cover residential treatment in your city) in ChatGPT, Perplexity, and Google AI Mode each month, and record which pages get cited.
  • Search Console. Use the generative AI performance report to see how your content performs in Google’s generative AI features.
  • Admissions feedback. Ask admissions which questions callers still ask after reading the site. Those gaps are the next FAQ rewrites.

For the wider picture, our Full AI Search Stack for treatment centers shows where FAQ content sits among the other AI search surfaces, and structured data beyond Rank Math defaults covers the schema types worth maintaining. Our guide to author bios and E-E-A-T covers how to tie answers to credentialed authors and reviewers.

If FAQ questions map to multi-part prompts on your site, the compound prompt content model covers the structure, and our AI Information page guide covers the factual reference page AI systems draw on. For the full marketing picture, start with our behavioral health marketing guide.

If you want a second set of eyes on your FAQ content, book an intro meeting and we will review it with you.

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Frequently Asked Questions

Should we remove FAQ schema now that Google dropped FAQ rich results?

No. FAQPage markup is still valid Schema.org, and removing it gains nothing measurable. Google’s guidance on generative AI features still treats structured data as part of normal SEO, and on WordPress sites using the Rank Math FAQ block the markup comes bundled with the visible section.

What should change is the reason you add FAQ sections. Add them because a page’s readers have questions the body copy doesn’t answer, not because the markup used to earn a dropdown in search results.

The one cleanup worth doing is hand-coded JSON-LD that has drifted from the visible text. Markup describing questions the page no longer shows helps no one, so fix it or take it out.

Does FAQ schema help a treatment center get cited in ChatGPT or AI Overviews?

The evidence says not by itself. Ahrefs tracked 1,885 pages that added schema and found no clear citation lift in AI Overviews, AI Mode, or ChatGPT, and SE Ranking found pages with FAQ schema averaged slightly fewer ChatGPT citations than pages without it.

What tracks with citations is the visible content. SE Ranking’s AI Mode data showed pages with FAQ sections in their main content averaged 4.9 citations versus 4.4 without, and searchVIU found AI systems fetching a page live read the visible HTML rather than the JSON-LD.

What most operators miss is that these are studies of the whole web. Before assuming the averages hold for your site, compare citations on a few pages before and after an FAQ rewrite.

Were behavioral health sites affected differently than other sites?

Some were. From August 2023 until May 2026, Google limited FAQ rich results to well-known, authoritative government and health-focused sites, so some treatment center sites kept FAQ dropdowns after most businesses lost them.

That means some behavioral health sites saw a visible change in May 2026 that most of the web had absorbed years earlier. A drop in FAQ appearances or clicks from search results that month reflects the feature ending, not a quality problem with the site.

The practical step is to annotate May 7, 2026 in your reporting so nobody reads the change as a penalty when comparing year-over-year search performance.

How many questions belong in an FAQ section?

As many as the page’s readers actually ask. On our own long-form posts we use four to six, and on a treatment center service page the right set usually comes straight from the questions admissions hears on calls about that program.

Each question should earn its place with an answer the body doesn’t already give. Restating body copy in question-and-answer form adds length without adding anything a reader or an AI system can use.

The mistake to avoid is copying one generic set of questions onto every service and location page. Write the set for each page, or leave the section off.

How do we track FAQ performance without the rich result report?

Track citations and questions instead of rich result impressions. Check which of your pages get cited for the prompts families actually use in ChatGPT, Perplexity, and Google AI Mode, and review the generative AI performance report in Search Console.

Pair that with admissions feedback. The questions callers still ask after visiting the site show which FAQ answers are missing or unclear, and that list is often more useful than any search tool.

Keep a simple log of the date each FAQ answer was updated. When citations move, you will know whether a content change or a platform change is the more likely cause.

Trevor Gage is the Director of Marketing at Webserv, a digital marketing agency for treatment centers.

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ABOUT THE AUTHOR

Olivia is the Director of the Organic Growth team (SEO & AEO), bringing strategic experience from SaaS and B2B to regulated industries where precision matters. She’s detail-oriented, building systems that work, coaching her team through nuanced client challenges, and keeping pace with how search behavior evolves. She’s committed to getting it right and building strategies that last.
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Split visual comparing behavioral health page types that kept FAQ rich result eligibility after the March 2026 core update against page types that lost eligibility due to non-primary content classification.