What is FAQ schema and how does it work?

FAQ schema is a block of JSON-LD code you add to a webpage that explicitly labels questions and answers in a format search engines can read. Google uses it to generate expandable Q&A rich results in search; AI engines use it to pull authoritative answers when users ask related questions.

Does FAQ schema still produce rich results in Google?

Google significantly scaled back FAQ rich results in 2023, limiting them mainly to government and health sites. That said, the structured data still signals to Google what your content covers and remains valuable for AI answer engines like Perplexity and ChatGPT that parse schema to find trustworthy sources.

Which med spa services should I add FAQ schema to?

Focus on your highest-intent service pages: Botox, lip fillers, body contouring, laser treatments, and any membership or pricing page. Questions about cost, pain level, downtime, how many sessions are needed, and when results show up are the ones people actually search for.

Can I just add FAQ schema to every page on my site?

Only add FAQ schema to pages where the questions and answers are actually visible in the page content. Google's guidelines require that the marked-up content be readable on the page itself. Marking up hidden or off-page content is a policy violation and can result in a manual action.

How do I add FAQ schema to my med spa website?

If your site runs on WordPress, plugins like Yoast SEO or Rank Math let you add FAQ schema through a block editor without touching code. On custom or Webflow sites, you or your developer paste a JSON-LD script tag into the page head. Test it with Google's Rich Results Test before publishing.

FAQ Schema for Med Spas: Get Your Answers Into Google and AI

What FAQ Schema Actually Does (and What It Doesn't)

When someone searches "how much does Botox cost in Frisco," Google doesn't just rank pages — it looks for structured signals that say: this page directly answers that question. FAQ schema is one of those signals.

Technically, it's a block of JSON-LD code added to your page that wraps your questions and answers in a format machines can parse without guessing. Here's a minimal example of what it looks like:

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "How long does Botox last?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Botox typically lasts 3–4 months for most patients, though first-timers may metabolize it faster."
      }
    }
  ]
}

Simple. Human-readable. And exactly what AI engines want.

One honest note: Google pulled back FAQ rich results significantly in 2023. They now limit the expandable Q&A snippets in search to government and health-focused sites. So if you were hoping for those accordion-style boxes in the SERPs, it's mostly not happening for med spas anymore.

That said, the schema is still worth adding. AI search tools — Perplexity, ChatGPT with browsing, Google's AI Overviews — actively parse structured data to identify authoritative Q&A content. If your FAQ schema is clean and your answers are specific, you're giving those engines a roadmap to cite your practice instead of your competitor down the street.

Which Questions Should a Med Spa Actually Mark Up?

Not every FAQ is worth the effort. You want to mark up questions that:

Match what patients are actively searching
Have specific, confident answers (not "it depends")
Live on a high-traffic or high-intent page

For most med spas, the best candidates are:

Pricing questions

"How much does CoolSculpting cost in Dallas?"
"What's the average price for a lip filler treatment?"
"Do you offer payment plans for laser packages?"

Pain and comfort questions

"Does microneedling hurt?"
"Is laser hair removal painful?"
"What does a HydraFacial feel like?"

Downtime and recovery questions

"How long is the recovery after RF microneedling?"
"Can I go back to work after Botox?"
"When can I wear makeup after a chemical peel?"

Results timelines

"How long until I see results from Sculptra?"
"How many sessions of laser hair removal do I need?"

These are the questions patients type before booking. If your pages answer them clearly and schema confirms that, you're ahead.

How to Add It (Without Breaking Anything)

WordPress sites

If your site runs on WordPress, this is straightforward. Both Yoast SEO Premium and Rank Math Pro have dedicated FAQ blocks in the editor. You write the question and answer in the block, and the plugin generates the JSON-LD automatically. No code required.

Webflow, Squarespace, or custom builds

You'll need to paste a JSON-LD script tag into the <head> of the relevant page. Your developer can do this in under 20 minutes per page. If you're on Webflow, custom code embeds work fine.

After adding it

Always validate with Google's Rich Results Test. It'll tell you if the schema is valid, flag any errors, and show you what (if anything) might appear in search. Even if no rich result triggers, you want to confirm the code is clean.

The One Pitfall That Will Get You Penalized

Google's guidelines are clear: the content in your FAQ schema must be visible on the page. If you mark up a question and answer that doesn't actually appear in the body of the page, that's a policy violation.

This catches a surprising number of sites that add schema as a hidden layer while the visible page says something vague. Don't do it. Write the actual Q&A in your page copy, then wrap it in schema. That approach is both compliant and genuinely useful to readers — two things that tend to go together.

Why This Connects to AI Visibility

AI engines are increasingly the first stop for patients with questions. Someone might ask ChatGPT "what's a realistic Botox budget for forehead lines" before they ever type a keyword into Google. Those engines synthesize answers from sources they deem credible — and clean, well-structured content that uses FAQ schema is a strong credibility signal.

This is a core piece of what's called generative engine optimization — optimizing not just for search rankings, but for the AI-generated answers patients see first. FAQ schema is one of the most concrete technical steps you can take in that direction.

It pairs well with answer-first content: leading your pages with a direct answer before expanding into detail. Schema marks up the answers; the content structure makes them trustworthy.

How It Fits Into Your Overall SEO

FAQ schema isn't a standalone fix. It's one layer of a technical and content foundation that helps both search and AI engines understand what your practice offers and who it's for.

For the full picture on what's working for med spas right now, the med spa SEO guide covers everything from local signals to content architecture.

If you want to see how your current site handles structured data — and where the gaps are — book a free visibility check. We'll look at what you have, what's missing, and what would actually move the needle.