FAQ Schema Is Dead. Here's What Actually Gets You Into AI Answers
If your agency just billed you for FAQ schema in 2026, ask for your money back. The rules changed and most people missed the memo.
Anthony Pinto
Founder, SEOGOAT
Your SEO agency spent three months adding FAQ schema to every page on your website. Tidy little JSON-LD blocks, perfectly formatted, Google Search Console showing zero errors. And now ChatGPT, Perplexity, and Google's AI Overviews are answering your customers' questions — and your business isn't mentioned once. Not even a footnote.
Here's the hard truth: FAQ schema structured data was never about making AI smart. It was about making Google's old search results look prettier. Those expandable question dropdowns in the SERPs — that's all it ever did. And Google quietly killed rich result support for FAQ schema for most websites back in 2023. The agencies that kept selling it just… didn't update the memo.
But here's where I want you to pay attention, because this is actually good news if you move fast.
What AI Search Engines Actually Pull From
When someone types a question into ChatGPT or Perplexity — "best accountant in Brisbane for small business" or "is it worth using a mortgage broker in Australia" — the AI isn't crawling your schema markup. It doesn't care about your structured data tags. It's doing something far more interesting and, frankly, far more human.
It's looking for clear, authoritative, direct answers written in plain language. It's pulling from sources that demonstrate genuine expertise on a topic. It's citing pages that other credible sources have already referenced. And it's favouring content that actually answers the question — not content optimised to rank for the question.
That distinction matters enormously. Schema markup tells a machine what type of content you have. Answer Engine Optimisation — or AEO, sometimes called GEO (Generative Engine Optimisation) — is about making your actual content so clear and so credible that an AI confidently puts your name in front of a customer who's ready to buy.
The businesses winning in AI search right now aren't the ones with the cleanest technical SEO. They're the ones who wrote a genuinely useful 800-word explanation of how tradie insurance works in New South Wales, or who published a real comparison of cloud accounting tools for Australian sole traders. Substance over signal. Always.
Why Australian Businesses Have a Genuine Edge Right Now
Most of the AEO conversation is happening in the US and UK. Australian businesses — and the agencies serving them — are roughly 12 to 18 months behind in adopting this thinking. That sounds like bad news. It's actually a gift.
The Australian market is specific. Questions like "what's the best structure for a small business in Australia," "how does the instant asset write-off work," or "which suburbs in Melbourne are good for first home buyers" — these have distinctly Australian answers. And right now, the AI models are pulling from a relatively thin pool of high-quality, locally relevant Australian content.
If you publish clear, authoritative, Australian-specific answers to the real questions your customers are asking, you are not competing against the world. You're competing against a near-empty field.
This is the opportunity I keep telling business owners about. Not theoretical. Right now, today, a plumber in Perth who publishes a genuinely useful article on "hot water system replacement costs in WA" — written like a knowledgeable mate explaining it over coffee, not a keyword-stuffed blog post — has a real shot at being the source ChatGPT cites when someone asks that question next week.
I built SEOGOAT specifically to help businesses identify these high-intent question gaps in their niche — the queries their customers are genuinely typing into AI tools — because finding them manually takes forever, and most keyword tools are still optimised for the old world.
What to Do Instead of Schema Chasing
Stop asking "how do we get our FAQ schema right" and start asking "what are the 20 questions our best customers ask before they buy, and do we have the clearest answer on the internet for each one?"
Here's what actually moves the needle for AI visibility in 2026:
- Write direct answers first. Lead with the answer in the first two sentences, then explain it. AI models love content that doesn't make them dig. Think of it like writing for a smart, impatient colleague.
- Use real specificity. Dollar amounts, timeframes, Australian regulations, local examples. Vague content gets ignored. Specific content gets cited.
- Build topical depth, not topical breadth. Own three topics completely rather than touching fifteen topics lightly. AI engines are looking for authoritative sources, and authority is earned through depth.
- Get cited by other credible sources. Guest articles, podcast appearances, being quoted in industry publications — the off-page signals that matter for AI are about genuine credibility, not link schemes.
- Update your content when facts change. AI tools are getting better at identifying stale information. A page written in 2021 about Australian tax thresholds is worse than no page at all.
The businesses that are going to dominate their categories over the next three years aren't the ones with the most backlinks or the cleanest site architecture. They're the ones who genuinely became the most useful, trustworthy voice on the topics their customers care about — and made sure that's obvious to both humans and machines.
FAQ schema was a shortcut. There are no shortcuts anymore. But there is a very clear path, and most of your competitors haven't found it yet.
Tomorrow morning, open ChatGPT and type the three questions your best customers ask you most before they sign up or buy. See who comes up. If it's not you — that's your content roadmap for the next 90 days.
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