gymshark.com
agent readiness score
At least one agent-readiness signal is in place, but concentrated on a single axis: still too isolated for an agent to rely on with confidence.
The basics are in place, but an AI agent still struggles here — Discoverability is largely incomplete.
Public snapshot · campaign from September 8, 2026
Methodology: how the tier is computed
The 7 questions an AI agent asks on arriving at this site, and where it gets — or doesn't get — an answer.
Can an agent find your website?
DiscoverabilityNoWe check that your site clearly signals its content and structure to the crawlers that visit it — like a floor plan handed out at the entrance.
Does your site welcome agents, or block them?
Bot access controlNoSome sites unintentionally block AI crawlers, like an overzealous bouncer at the door. We check the door isn't shut by mistake.
Can an agent understand what you sell?
DiscoverabilityContent accessibilityNoWe check that your page content is readable and usable by an AI — not just nice to look at for a human.
Can your site talk directly to AI agents?
API / Auth / MCPNoBeyond simple reading, some agents can connect to your site through dedicated channels — like a direct line instead of a regular visitor at the counter. We check whether those lines exist.
Can an agent securely identify itself to your site?
API / Auth / MCPPartiallyTo act on your behalf (for example, to make a purchase), an agent needs to prove its identity securely — like a keycard rather than a password scribbled on a sticky note.
Can an agent actually buy from you?
Agent CommercePartiallyWe simulate an agent trying to find a product, understand it, then buy it — how far does it get before it has to call in a human?
Is your site reliable and fast enough for an agent?
Agent PerformanceNot evaluatedAn agent gives up faster than a human when a page is slow or shifts under it while loading. We check the technical stability of your pages.
Agentic commerce
What a shopping agent finds when it queries this site through the commerce protocol.
- Store connectioncompliant
Recommendation
The UCP profile declares the Checkout, Orders and Catalog capabilities: the store is correctly discoverable and transactable by shopping agents. Monitor these capabilities over time to catch any regression.
- Product qualityblocking
Recommendation
Insufficient catalog completeness (30% over 12 sampled products): a shopping agent risks blocking or relying on incorrect information. Most frequent issues — currency inconsistent with the store's declared market on 100% of products; descriptions absent, too short, or themselves promotional on 50% of products. Fix these fields as a priority before republishing the catalog for AI agents. Score capped at 30 (vs 95 on content quality alone): at least one presence criterion fails on more than 50% of sampled products — currency inconsistent with the store's declared market. A shopping agent cannot transact reliably on this catalog regardless of content quality; these fields must be fixed as an absolute priority. Additional diagnostic: the description field is present but its content is insufficiently detailed or too promotional for a shopping agent to present it with confidence — enrich it with factual information (material, dimensions, use, care) rather than marketing hooks. The readability of your product pages for an agent that reads them could not be verified: the 3 targeted pages could not be read (access refused or page unreachable). This is not an established defect of your markup, only a measurement we could not make from our vantage point. No effect on the score above.
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