Invisible. Agents can't meaningfully engage with this storefront.

Lululemon scores 24 out of 100 and lands in the Invisible band, which is remarkable for a brand of this size and a result that demands an asterisk. The scanner could not reach a single product page on shop.lululemon.com, with all 30 fetches returning network errors and the root robots.txt and sitemap.xml at lululemon.com both unreachable. Whether this is hostile bot mitigation, geofencing, or aggressive edge filtering, the practical effect is the same: an autonomous agent attempting to research, compare, or purchase a pair of Align pants gets nothing. To a shopping agent, Lululemon effectively does not exist on the open web. The single largest point sink is machine readability of the product catalog, which contributes zero across price in raw HTML (0 of 8), structured product data (0 of 6), product attributes (0 of 6), and inventory signals (0 of 5). Across ten sampled product URLs covering Wunder Train tights, Align pants, Scuba outerwear, and Team Canada gear, none returned parseable HTML, none exposed Product or Offer schema, and none surfaced price text in either raw or rendered form. This is the foundational layer of agentic commerce, and Lululemon presents a blank page to it. Transactability compounds the problem. The /cart and /checkout endpoints both returned status 0, yielding zero of 6 on checkout flow, zero of 4 on guest checkout, zero of 4 on price transparency, zero of 3 on machine-native payment rails, and zero of 3 on cart API accessibility. No platform hint was even detectable to give partial credit. An agent has no path from intent to purchase, and no metadata to infer one. For a direct-to-consumer brand whose entire moat is owning the customer relationship, the absence of an agent-legible checkout is a strategic liability, not a technical footnote. The agent native content dimension scored zero across all six checks, which is the inevitable downstream consequence of pages that will not load. Specification completeness, conversational descriptions, decision support metadata, delivery date transparency, and price stability signals all returned low signal across all ten sampled URLs. The trust layer is similarly hollow: no return policy reachable from the homepage, no merchant verifiability content, and zero detected third party review platforms among the eleven checked, including Trustpilot, Yotpo, Bazaarvoice, and Google Shopping ratings. Lululemon almost certainly has reviews and a returns policy. An agent cannot find them. The bright spots are accidental. The robots.txt being absent earned full credit on AI crawler posture (6 of 6) because there is nothing to block GPTBot, ClaudeBot, PerplexityBot, or the other seven tracked crawlers, but this is permission without payload. CAPTCHA prevalence and rate limiting score full marks because no challenge or 429 was observed, though that is partly because nothing was observed at all. Variant handling and price history each got default credit on a sample where no signals were detectable either way. The takeaway is blunt: before Lululemon optimizes a single schema tag, it needs to confirm whether its edge is silently rejecting agent traffic, because every other dimension on this report is gated on that one fix.