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StoreCited
Free tool

Is your product information ready for ChatGPT shopping?

A responsible ChatGPT product recommendation check must separate public evidence from live recommendation outcomes. StoreCited checks the first layer. It fetches the submitted public homepage, at most one representative product page found through homepage links, plus robots.txt, sitemap.xml, and llms.txt. It then reports whether the fetched storefront exposed useful product facts, buyer answers, trust clues, metadata, and selected JSON-LD types. It does not run ChatGPT prompts or inspect Shopify's private Catalog and Agentic Storefront configuration, so the output is a public-evidence readiness assessment, not a recommendation result.

Free · No login · Results in ~60 seconds

Free · No login · ~60 seconds
Close-up of a hand interacting with ChatGPT on a smartphone, showcasing modern AI technology.
Photo: Airam Dato-on / Pexels
What this checks

What StoreCited inspects — and what it does not

What ChatGPT-facing public evidence is reviewed?

StoreCited reviews what its public fetch returned, not what ChatGPT privately processed. Visible Markdown is checked for product specifications, price clues, direct buyer answers, FAQ or guide text, reviews, press, contact, about, and social clues. Raw HTML is checked for JSON-LD type presence. Links and metadata support canonical, noindex, and mobile checks. Robots.txt, sitemap.xml, and llms.txt are requested separately. This creates a concrete storefront evidence snapshot. It does not reproduce OAI-SearchBot, GPTBot, or ChatGPT-User behavior, and it does not claim that a detected clue was retrieved or selected in a ChatGPT response.

What remains outside a public storefront scan?

Shopify Catalog and Agentic Storefronts are platform channels with settings, eligibility rules, product mappings, and commerce behavior that a bounded public scan cannot fully verify. StoreCited does not enter Shopify admin, inspect channel enrollment, test product eligibility, confirm Catalog transmission, or observe checkout presentation inside ChatGPT. It also does not run live shopping queries. Public pages still deserve accurate, useful facts, but they are only one evidence layer. Merchants should verify Catalog access, policies, product mapping, eligibility, and channel reporting in the official Shopify surfaces available to their account.

How should merchants act on the result?

Treat each check as a storefront repair question. Confirm whether the representative page states the product's identity, specifications, price context, availability clues, use limits, and relevant policies plainly. Check that JSON-LD types are present only where the visible page supports them, then validate required fields separately. Resolve canonical, noindex, or crawler-policy contradictions. Strengthen authentic reviews and company information instead of manufacturing proof. After changes, re-run StoreCited for the same public sample. Separately test official channel status and, if useful, maintain a dated live-prompt panel that includes complete answers and misses.

Method and primary references

These official sources define the platform-specific controls and evidence limits behind this readiness check. StoreCited's result remains a dated observation of its own public fetch.

Frequently asked questions

Does this tool show whether ChatGPT recommends my product?
No. StoreCited does not run a live ChatGPT query, capture a shopping result, or observe a recommendation. It checks public storefront evidence that a merchant can inspect and improve. The result is a StoreCited readiness score with dated checks, not a claim that ChatGPT mentioned, cited, ranked, selected, or recommended the store or product.
Can the scan verify Shopify Catalog or Agentic Storefront participation?
Not completely. A public scan cannot inspect the merchant's Shopify admin settings, terms acceptance, product eligibility, Catalog mapping, channel controls, or private performance reporting. StoreCited can review public pages and files, while the merchant must verify Catalog and Agentic Storefront configuration in Shopify's official authorized surfaces.
Does StoreCited crawl like OAI-SearchBot or ChatGPT-User?
No. StoreCited uses its own fetching service and reports the public output that service received. A user-agent document or robots rule can be inspected, but that does not make StoreCited equivalent to an OpenAI crawler. Network treatment, retrieval systems, indexes, product feeds, and response selection remain outside the scan.
How many product pages does the free check inspect?
The free scan starts with the submitted homepage and may inspect at most one representative product page discovered from links on that homepage. It does not enumerate or validate every product page in the catalog. Findings from that sample should trigger checks of other important templates and products before a merchant applies a site-wide change.
What public fixes are worth making first?
Fix contradictions and factual gaps first: access rules, canonical or noindex metadata, product identity, price and availability context, specifications, policies, and visible claims. Then improve direct buyer answers and authentic proof. Confirm that structured data matches the visible page. These changes make public inputs easier to verify, but live recommendations and commercial results require separate observation.

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