Does this query ChatGPT, Perplexity, and Google's AI Overviews directly?

No. We audit the signals AI engines use to decide whether to cite a page — schema markup, FAQ phrasing, brand-mention density, content depth, canonical links. For prompt-level testing, run the sample prompts in each engine yourself; we show you which ones to try.

Why does schema matter for AI search?

Schema.org markup is structured ground truth that AI engines weight more heavily than free-form HTML. A page with Organization + FAQPage schema is dramatically more citable than one without — and FAQPage is the single biggest lever on most SME sites.

How often should I re-check?

After any meaningful content or template change, and at least quarterly. AI engines re-crawl and re-score continuously; the score from three months ago does not reflect today.

What's the single biggest fix?

Add 5–10 real customer questions as H2/H3 headings with concise answers, and mirror them inside a FAQPage JSON-LD block. We see the readiness score move 15–25 points on average from that one change alone.

Free tool · 2 min

AI-zichtbaarheid Readiness Checker

Toets een pagina aan de signalen die ChatGPT, Perplexity en Google AI Overviews gebruiken om te bepalen wie geciteerd wordt.

What "AI visibility" actually means in 2026

Roughly half of all branded searches now route through an AI engine first — ChatGPT, Perplexity, Claude, or Google's AI Overviews. These engines summarise the web before showing links. If your site doesn't give them clean signals — schema, FAQs, named entities, real content depth — you don't get cited at all.

The single biggest lever for SME operators

Add a FAQPage JSON-LD block with 5–10 real customer questions, then mirror those questions as H2/H3 headings in the body copy. That one change moves an average SME site by 15–25 points on our readiness score. Most other recommendations are downstream of this one.

Why iSystem ships governed AI for visibility work

Every AI-assisted edit in the iSystem SEO Control Center runs with fact-verified drafts (Tavily sources + domain-trust tiers), a diff-then-apply preview, and rollback. We treat AI-search visibility as an editorial problem under governance, not a content-spam problem at scale.

FAQ

Frequently asked questions

Does this query ChatGPT, Perplexity, and Google's AI Overviews directly?
No. We audit the signals AI engines use to decide whether to cite a page — schema markup, FAQ phrasing, brand-mention density, content depth, canonical links. For prompt-level testing, run the sample prompts in each engine yourself; we show you which ones to try.
Why does schema matter for AI search?
Schema.org markup is structured ground truth that AI engines weight more heavily than free-form HTML. A page with Organization + FAQPage schema is dramatically more citable than one without — and FAQPage is the single biggest lever on most SME sites.
How often should I re-check?
After any meaningful content or template change, and at least quarterly. AI engines re-crawl and re-score continuously; the score from three months ago does not reflect today.
What's the single biggest fix?
Add 5–10 real customer questions as H2/H3 headings with concise answers, and mirror them inside a FAQPage JSON-LD block. We see the readiness score move 15–25 points on average from that one change alone.

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