Schema Markup for Review Sites: FAQPage, Review, and the Road to AI-Powered Answers

#seo #webdev #tutorial

Search is shifting. More and more queries are answered directly by AI assistants and featured snippets, which means the old "write an article and hope" approach is dying. The technical answer is structured data — schema markup that tells machines exactly what your content means.

Why schema matters more in 2026

Google's AI Overviews, Bing Copilot, and ChatGPT-style assistants all extract answers from pages. They do this most reliably when the page declares its structure. A page with a proper FAQPage schema can literally become the source for a spoken answer. A review page with Review + AggregateRating schema tells machines "this is a review of X with this rating," which is far more useful than a wall of prose.

The three schemas every review site needs

1. Article

Every content page should declare itself as an Article with headline, author, datePublished, and dateModified. This is the baseline.

2. FAQPage

If your content naturally answers questions ("What is RTP?", "Is high volatility good?"), mark them up. FAQ rich results used to be clickable boxes; today they feed directly into voice and AI answers.

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What does RTP 96% mean?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "RTP (Return to Player) is the theoretical percentage of wagered money a game returns over millions of spins."
    }
  }]
}

3. Review / AggregateRating

Only use this if you genuinely rate products — and never fake ratings; Google actively penalizes fabricated review markup.

Breadcrumb + WebSite with SearchAction

Two more cheap wins:

BreadcrumbList — helps Google understand site hierarchy and can upgrade your SERP display.
WebSite + SearchAction — enables the sitelinks search box. The catch: the search must actually work (Google tests it), which is why a real /search/ page matters.

The AEO (Answer Engine Optimization) shift

Beyond schema, AI answers come from clear prose. Practical rules:

Put the direct answer in the first paragraph.
Use short, factual sentences.
Use <h2>/<h3> headings that mirror real questions.
Keep paragraphs under 60 words.

For a worked example, look at how we structured our RTP and volatility guide with FAQ schema — the answer to "what is RTP" appears in the first sentence, and the question is marked up as a Question entity.

Validation checklist

Test every page with Google's Rich Results Test.
Use https://validator.schema.org/ for syntax.
Keep JSON-LD valid — one broken script tag can kill the whole page's structured data.
Never duplicate mainEntity IDs.

The takeaway

Schema is the difference between a page that is read and a page that is consumed as data. In the AI-search era, that is the entire game.

Originally published on PGSLOTWEB.

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