https://www.nytimes.com/athletic/7308133/2026/05/26/victor-wembanyama-rookie-card-sells-for-record-5-11-million/ ↗
The page is a New York Times sports article reporting on the sale of a Victor Wembanyama rookie card for $5.11 million, with a single outbound link to eBay but no product listings or price information embedded in the article itself. The structured-data layer includes NewsArticle and SportsTeam schemas but omits all commerce-related types—Product, Offer, BuyAction, and Review schemas are absent, leaving the transactional event undeclared to machines. Search-index citation bots cannot reach the page, and probe results show zero explicit or generic citations across both attempts, though some training crawlers have access (a legal-posture matter independent of citation capability). IA's enrichment layer would wrap the sale event and eBay reference in a BuyAction schema, making the transactional intent and merchant link machine-readable without altering the publisher's article structure or access controls.
What humans see vs what AI extracts today vs with IA enrichment
The gap between these columns is the enrichment IA layers on top of the page for AI extractors. Edge-level blocking is a separate dimension — see the bot-accessibility section.
Surface — do AI models cite this publisher?
Each model is queried twice — with web search off (training memory) and on (live fetch). The diff shows whether your AI presence is stale, current, or absent.
Bot accessibility
Raw fetch detail (status, bytes, timing)
| Identity | Status | Bytes | Blocked? | Timing |
|---|---|---|---|---|
| gptbot | 403 | 139,269 | yes | 1023ms |
| chatgpt_user | 403 | 139,269 | yes | 969ms |
| oai_searchbot | 403 | 139,269 | yes | 900ms |
| claudebot | 403 | 139,269 | yes | 761ms |
| claude_user | 403 | 139,269 | yes | 697ms |
| claude_searchbot | 403 | 139,269 | yes | 642ms |
| perplexitybot | 403 | 139,269 | yes | 568ms |
| perplexity_user | 403 | 139,269 | yes | 518ms |
| googlebot | 200 | 269,071 | no | 470ms |
| google_extended | 200 | 269,071 | no | 431ms |
| bingbot | 200 | 269,071 | no | 425ms |
| applebot | 200 | 269,071 | no | 257ms |
| applebot_extended | 200 | 269,071 | no | 238ms |
| ccbot | 403 | 139,269 | yes | 815ms |
| human | 200 | 269,071 | no | 261ms |
Render risk — what AI bots can actually parse
- Hydration gap: 94%AI bots see 6% of the rendered content. The remaining 94% loads via client-side JavaScript and is invisible to crawlers that don't execute JS.
- “Sports Memorabilia and Collectibles”
- “Victor Wembanyama rookie card sells for record $5.11 million”
- “Victor Wembanyama cards have been rapidly rising in value over the last few weeks. Courtesy of PSA”
- “A Victor Wembanyama rookie card that was previously the subject of some controversy sold in a private deal for $5.11 million, making it the most expensive known sale of a non-autographed NBA card.”
- “The sale of the San Antonio Spurs center’s 2023-24 Panini Prizm one-of-one Black parallel rookie card, which has a Gem-Mint PSA 10 grade, was brokered by Fanatics Collect. It’s the fourth highest publicly known sale of an NBA card, according to online card sales database Card Ladder.”
Found 1 large script-tag JSON blob (120.2 KB of serialized data total). AI crawlers do not evaluate JavaScript or parse arbitrary inline state — content stored in these blobs is invisible to GPTBot, ClaudeBot, and the other AI indexers, even when the rest of the page renders correctly for humans.