TL;DR
- Google removed FAQ rich results from most websites in 2023, and many teams wrongly concluded that FAQs were dead.
- The visual format went away. The underlying value for AI retrieval grew sharply.
- FAQ-formatted content matches exactly what AI is built to extract: a question and a direct answer.
- Pages with the FAQ schema get cited far more often in AI Overviews than pages without it.
- The format matters as much as the content. Direct answer first, 40 to 100 words, real schema markup.
Did FAQs really die when Google removed the rich results?
In August 2023, Google quietly killed FAQ rich results for most websites. The dropdown accordion answers in search results disappeared overnight.
Many SEO teams looked at this and decided that FAQs were no longer worth the effort. They were wrong, and the cost of that decision is showing up now.
Here is what actually happened. Google was responding to overuse. Too many sites had stuffed FAQs into pages just to game the visual format, with thin, copy-pasted answers.
Removing the visual display did not remove the underlying value of the FAQ content. As AI Overviews and generative answers grew, FAQ content became more valuable, not less.
Why does FAQ content win in AI search?
Here is the short version. AI systems exist to answer questions. Your FAQ section is literally a list of questions and answers.
When AI constructs a response, it does not need to transform your FAQ content in any way. It can extract the question, lift the answer, and cite your page directly.
Here is how FAQ content compares to other formats AI encounters.
This table shows why FAQ-formatted content gets cited at higher rates than prose.
Research has found that pages with FAQ schema are roughly 3.2 times more likely to appear in Google AI Overviews.
Your FAQ section is essentially a set of pre-formatted AI citations sitting on your page. The brands writing them well are getting cited. The brands that abandoned them are not.
This connects directly to how AI snippets get cited across answer construction. FAQs are the cleanest snippet format you can build.
How to write FAQ content that can be cited?
The format matters as much as what you say. Here is the structure that works.
- State the question exactly how a real user would ask it. No corporate language. The actual phrasing a person uses when typing or speaking.
- Open the answer with a direct response in the first sentence or two. No setup. No context. The answer first.
- Keep the answer between 40 and 100 words. Research has shown passages between 40 and 75 words get cited at significantly higher rates than longer ones.
- Add one or two sentences of supporting context after the direct answer.
- Apply FAQ schema markup in JSON-LD format, so AI knows this is a question and answer pair.
Each step builds on the previous one. Skip the schema, and you lose the explicit signal to AI. Skip the direct answer opening, and AI may pull a less useful sentence from further down.
A useful sanity check before you publish: read each answer out loud. If you were to say it that way to a customer in person, it is probably ready.
What are AI snippets, and how do they connect to FAQs?
AI snippets are the cited passages AI pulls from your content. You do not create them or mark them up directly.
They are the result of writing content in a format AI can cleanly extract. The best format for an AI snippet is identical to a strong FAQ answer.
Direct answer first. Supporting context second. Specific entities named. Clear language.
Any section of your content can become an AI snippet if it has this structure. The FAQ format just makes it systematic across your site.
Your goal is to give AI as many usable, snippet-ready passages as possible. Each one is a potential entry point into an answer that names your brand. The whole point of fan-out queries shaping what AI looks for is that you cannot predict every question. You can prepare for the range of them.
How do you build a FAQ strategy?
Here is the approach that works. Start narrow, then expand systematically.
Take your most important page. List the five to ten questions a real buyer in your market would actually ask about that topic.
Write clear, direct answers using the format above. Apply the FAQ schema. Publish.
Repeat for the next most important page. Then the next. Over a few months, you will have a library of extractable answers AI can use across many query types.
Update these regularly. Questions evolve. New ones emerge. Brands that maintain their FAQ libraries earn citations consistently, while brands that publish once and forget watch their visibility decay.
This is a key part of how brands actually gain visibility in tools like Google AI Overviews and ChatGPT. It’s a core piece of the search engineering we apply to every important page.
If you’re unsure which questions to tackle first, an AI visibility audit is the best way to see the gap between what your customers are asking and what your site currently provides.
Coming up in Day 43: We’ll explore how to balance long-form content with a FAQ-led strategy and why having depth on your site still matters, even when AI only displays short snippets.
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