Crawler access, llms.txt/agents.txt, structured data, content structure, machine-usable commerce surfaces — from the agentic.gobuy.ai scanner.
| Server-rendered content | FAIL |
| HTTP behavior | PASS |
| robots.txt present & parseable | PASS |
| Document structure | FAIL |
| Honest error recovery | PASS |
| Crawlability (internal links) | PARTIAL |
| Product structured data (JSON-LD) | N/A |
| Machine-usable commerce surface | N/A |
| API / agent-surface discovery | INFO |
| OAuth discoverability | N/A |
| agents.txt published (+3) | N/A |
| MCP server declared (+2) | N/A |
Composite store score = 60% agent-readiness + 40% trust.
gymshark.com scores 37 out of 100 (tier D). The composite is 60% agent-readiness (35/100 — crawler access, structured data, machine-usable surfaces) and 40% trust (39/100 — domain age, reviews, policies, contact paths), scored independently by GoBuy, the trust layer for agentic commerce.
Readiness is 35/100. Crawler access check: PASS. A higher readiness score means AI agents can find, understand, and transact with the store more reliably.
Observed trust signals: RDAP unavailable; 0/2 standard policy pages (refund, privacy); no review system detected; no contact path found. GoBuy reports evidence, not opinions — the trust layer score is 39/100.
Yes — gymshark.com is detected as a Shopify storefront (theme fingerprints and/or the /products.json surface). Shopify stores are scored identically to any other platform.
no review system detected Note: on-site (self-hosted) reviews are weighted below marketplace verified-purchase reviews in GoBuy scoring, since self-hosted evidence is easier to fabricate.
Scored 2026-09-27. Every store page carries a re-score button that triggers a fresh live crawl (free, rate-limited to once per 24 hours), so scores stay as current as demand requires.
Submit any store free on stores.gobuy.ai. For a deep audit with actionable fixes, run the Storefront Agent-Readiness Audit at agentic.gobuy.ai. Higher scores come from allowing AI crawlers, adding llms.txt, exposing Product structured data, and maintaining clear policies and review systems.
Independent scoring by GoBuy — the trust layer for agentic commerce. Machine-readable: JSON. Deep storefront audit: agentic.gobuy.ai.