Technical reference
Define the signal before scoring it.
Compact references for interpreting storefront checks and timestamped AI observations. Each reference links back to a practical task.
Current first-party crawler names, purposes, robots controls, verification boundaries, and Shopify testing commands for major answer platforms.
EvidenceAI mention and citation evidence levelsA decision table, worked fixtures, and storage model for separating storefront citations, brand mentions, non-mentions, and provider failures.
EvidenceAI visibility sampling context and provider status referenceRequired fields and denominator rules for prompts, locale, sources, completed answers, failures, and untested states.
DiscoveryShopify canonical URL and market behavior referenceInterpret product, collection-scoped, variant, localized, and redirected Shopify URLs with market-aware evidence.
Product factsShopify product and variant identifier referenceScope Shopify IDs, handles, SKUs, barcodes, GTINs, MPNs, URLs, and schema IDs without treating them as interchangeable.
Product factsShopify product availability values and evidence rulesMap visible Shopify stock states to schema.org Offer availability without confusing inventory policy, preorder, backorder, sold-out, and regional availability.
Product factsShopify Product JSON-LD field referenceA field-by-field Shopify Product and Offer reference with public storefront examples, failure patterns, commands, and acceptance criteria.
CrawlersShopify storefront discovery routes referenceRoles, expected content, and failure boundaries for robots.txt, sitemap.xml, agents.md, llms.txt, and llms-full.txt.
MeasurementStorefront readiness versus AI visibilityA worked Shopify case showing why crawlability, product accuracy, AI mentions, and citations require separate metrics.