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Glossary Term

FAQ Schema.

Learn what FAQ Schema means in modern search and SEO.

Part of speechnounOriginAbbreviation Frequently Asked Questions + Greek schema (shape)

Structured data markup that marks up question-and-answer pairs on a page, enabling Google to display them as expandable rich results in SERPs.

FAQ schema (FAQPage structured data) marks up a page containing a list of questions and answers using JSON-LD. When Google validates and displays this markup, it can show expandable question-and-answer pairs directly below the organic listing in search results—increasing the listing's visual footprint and potentially improving click-through rate.

Google's Restrictions on FAQ Rich Results

Google updated its FAQ rich results policy in 2023, limiting FAQ rich results to government and health websites for most queries. For general websites, FAQ schema still helps Google understand page content and may surface answers in People Also Ask boxes, even without a full FAQ rich result. Implementing FAQ schema remains worthwhile for topical context even without guaranteed rich result display.

FAQ Schema vs HowTo Schema

FAQ schema (`FAQPage`) is appropriate for pages with a list of Q&A pairs where the questions and answers are known in advance. HowTo schema is appropriate for step-by-step instructional content with defined steps and tools. Both types inform People Also Ask population and help Google extract relevant content for AI Overview answers.

Articles about FAQ Schema

Read more on the Aergos blog.

How to Get Your Brand Cited in ChatGPT: A Practical 2026 Playbook
AI SearchJune 7, 2026

How to Get Your Brand Cited in ChatGPT: A Practical 2026 Playbook

Getting ranked on Google and getting cited in ChatGPT are two different games. This playbook breaks down the exact GEO moves that put your brand inside ChatGPT's answers — not just near them.

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What Is RAG, and Why It Decides Whether AI Recommends Your Brand
AI SearchJune 5, 2026

What Is RAG, and Why It Decides Whether AI Recommends Your Brand

AI tools like ChatGPT and Perplexity don't just guess your brand's name — they retrieve it. RAG retrieval augmented generation is the engine behind those citations, and if your content isn't structured to be found, you're invisible. Here's what marketers need to understand.

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GEO vs SEO: What's Actually Different (and Why You Need Both in 2026)
AI SearchJune 4, 2026

GEO vs SEO: What's Actually Different (and Why You Need Both in 2026)

SEO gets your page ranked. GEO gets your brand cited inside an AI-generated answer. They share a foundation — but the mechanics diverge in ways that matter. Here's what's actually different and how to play both.

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The 2026 Guide to Ranking in Both SEO and AI Search
AI SearchJune 1, 2026

The 2026 Guide to Ranking in Both SEO and AI Search

Search has split into three disciplines — SEO for rankings, AEO for answer boxes, and GEO for getting cited by AI engines like ChatGPT, Perplexity, and Gemini. This is the 2026 master guide to winning all three without running three separate playbooks. If you bookmark one resource this year, make it this one.

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Should You Trust ChatGPT to Audit Your Website? An Honest Answer
AI SearchJune 1, 2026

Should You Trust ChatGPT to Audit Your Website? An Honest Answer

ChatGPT can do a lot of things. Auditing your website's technical health is not really one of them. Here's where it genuinely helps, where it will get you in trouble, and which tools to use instead.

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How LLMs Actually "Read" Your Website (And Why It's Different From Google)
AI SearchMay 29, 2026

How LLMs Actually "Read" Your Website (And Why It's Different From Google)

ChatGPT might be serving visitors a six-month-old version of your homepage. Perplexity is live but cuts you off mid-sentence. Google's AI Overviews run on a completely different pipeline than either one. Here's the plain-English breakdown of how LLMs actually process your site — and why it matters for how you write and structure your content.

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