Is your Shopify store ready for AI search retrieval?
A useful Shopify AI visibility check should start with public evidence, not pretend to know private answer systems. StoreCited gives merchants a point-in-time public-storefront readiness check built from the submitted homepage, at most one representative product page discovered from that homepage, and the site's robots.txt, sitemap.xml, and llms.txt. It reports what its fetch exposed in visible content, raw HTML, links, and metadata. The result is a StoreCited readiness score and an evidence-led repair queue, not an observation of mentions, citations, recommendations, or rank.
What StoreCited inspects — and what it does not
What public material does the scan inspect?
The scan begins with the public homepage URL you submit. From links exposed on that homepage, it may select and fetch at most one representative product page. It also requests robots.txt, sitemap.xml, and llms.txt at the same domain. The fetching service returns public-page Markdown, raw HTML, links, and metadata. StoreCited reads Markdown for visible text clues and raw HTML for JSON-LD presence. This is a deliberately bounded sample. It does not enter Shopify admin, enumerate the full catalog, inspect orders or customers, or represent the response received by any named search or AI crawler.
Which readiness signals become checks?
StoreCited grades observable inputs in the fetched sample. It records detected schema types, rather than claiming complete field validation. It reviews the representative product page for visible specifications, word-count context, and price clues. It looks for FAQ or guide links and text, plus review, press, contact, about, and social clues. Technical checks cover robots directives, sitemap and llms.txt availability, canonical and noindex metadata, and mobile metadata. A detected item is not proof that it is correct. A missing item means the fetched sample did not expose it, not that every external system must miss it.
How should the readiness score guide work?
Use the StoreCited readiness score as a triage device, not a visibility KPI. Open each failed or partial check, confirm the evidence on the live storefront, and fix factual problems before cosmetic ones. Start with access contradictions, canonical or noindex mistakes, and product facts that disagree across visible copy and JSON-LD. Then improve direct buyer answers, policies, proof, and entity clarity where the page genuinely lacks them. Re-run the same public sample after deployment and compare the underlying checks. Better inputs are useful on their own, but they do not establish a change in citation, recommendation, traffic, or sales.
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.