This Travel and Leisure article contains product recommendations for economy-seat travel essentials but carries no structured markup of any kind—no Product, Offer, Review, or rating schema despite multiple consumer goods and subjective endorsements throughout the piece. The page is entirely unreachable to search-index citation bots, user-initiated fetchers, and training crawlers across all tested agents, though explicit and generic mentions that do occur are cited back to the URL. IA's enrichment would surface product identities, brand associations, and aggregate sentiment signals as machine-readable assertions, making implicit endorsement claims and item relationships legible to systems that cannot currently parse the page's text layer alone.
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.
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.
| Identity | Status | Bytes | Blocked? | Timing |
|---|---|---|---|---|
| gptbot | 402 | 612 | yes | 941ms |
| chatgpt_user | 402 | 612 | yes | 1021ms |
| oai_searchbot | 402 | 612 | yes | 905ms |
| claudebot | 402 | 109 | yes | 971ms |
| claude_user | 402 | 109 | yes | 840ms |
| claude_searchbot | 402 | 109 | yes | 736ms |
| perplexitybot | 402 | 612 | yes | 783ms |
| perplexity_user | 402 | 612 | yes | 694ms |
| googlebot | 460 | 10 | yes | 615ms |
| google_extended | 402 | 612 | yes | 579ms |
| bingbot | 460 | 10 | yes | 479ms |
| applebot | 402 | 109 | yes | 390ms |
| applebot_extended | 402 | 109 | yes | 339ms |
| ccbot | 402 | 109 | yes | 262ms |
| human | 402 | 612 | yes | 232ms |
| ✗PostalAddress | 0 pts |
| ✗ReserveAction | 0 pts |
| ✗GeoCoordinates | 0 pts |
| ✗AggregateRating | 0 pts |
| ✗LodgingBusiness | 0 pts |
| ✗TouristAttraction | 0 pts |