Can Perplexity find and cite your store?
Answer engines like Perplexity don't crawl your store the way Google does. They pull structured facts — brand name, product details, pricing, return policies, founder story — from whatever sources they can confidently cite. If your store buries that information in JavaScript, hides it behind login walls, or simply never says it plainly, Perplexity has nothing to quote. The Perplexity Visibility Checker reads your store the way an answer engine does: looking for clean, citable facts on your homepage, product pages, and About section. You get a plain report showing what's readable, what's missing, and what's ambiguous enough that a citation engine would skip it rather than risk a wrong answer. No score to game. No guesswork. Just a clear picture of whether your store gives answer engines something solid to work with. Paste your store URL below to find out.
Where AI looks — and what we grade
Citable facts on your product pages
Perplexity surfaces answers by quoting specific, verifiable details — materials, dimensions, ingredients, country of origin, certifications. This check scans whether your product pages state those facts as plain text, or lock them inside tabs, accordions, or render them only after JavaScript executes. A fact that can't be read can't be cited.
Brand and founder context that answer engines can attribute
When someone asks an answer engine "who makes X" or "is Y a real brand," it looks for an About page with a clear founding story, a named founder or team, and a stated mission. This check looks at whether your store provides that attributable context or presents itself as an anonymous product catalog with no human story to anchor a citation.
Return policy and trust signals stated as direct sentences
Shoppers ask answer engines whether a store is trustworthy before they buy. This check looks at whether your return policy, shipping terms, and guarantee are written as direct, quotable sentences — not buried in PDF links, image-only banners, or checkout-page fine print that crawlers never reach. An answer engine cites what it can read; it skips what it can only infer.
Frequently asked questions
Does this tool actually connect to Perplexity or run real AI queries?
No, and that distinction matters. Perplexity's index changes constantly, so a live query result tells you what was true for one search at one moment. This tool reads your store the way a citation engine's crawler would — checking whether the raw content is structured, readable, and specific enough to be cited. That underlying content quality is what you can actually control and improve.
My store ranks fine on Google. Why would Perplexity visibility be any different?
Google rewards links, authority, and keyword relevance. Answer engines reward specificity and citability — a page that states a clear fact in plain language that can be pulled verbatim into a response. A well-ranked Google page full of marketing copy and thin bullet points can be invisible to citation engines, because there's nothing precise enough to quote without risk of misrepresenting the source.
What does this tool actually check — is it reading my live site or cached data?
It fetches your live public-facing pages at the time you run the scan, the same way a crawler would. It checks what renders without JavaScript execution, what's in the HTML, and how your structured data is marked up. If content only appears after a customer interaction or login, this tool flags it as not reachable — because a citation engine can't reach it either.
Will fixing these issues guarantee Perplexity cites my store?
No, and anyone who tells you otherwise is overselling. Citation engines make their own editorial decisions about what to surface and when. What this tool tells you is whether your store gives them the raw material to cite you accurately. A store with clear, specific, crawlable facts is a candidate for citation. A store without them is not.
How is this different from your other StoreCited tools?
The other tools focus on structured data markup, schema validation, and general AI-readiness signals. This one is specifically built around the question of citability — whether the plain-text content on your pages contains the kind of discrete, attributable facts that answer engines quote in their responses. It's less about technical implementation and more about whether your store actually says things an engine can repeat with confidence.