Intelligent Attribution

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.

Human view

AI Bot Today — During Live Search

On the page

Offers detected (0)

none

In the JSON-LD layer

Types present (11)

Article, BreadcrumbList, EntryPoint, ImageObject, ListItem, Organization, Person, ReadAction, SearchAction, WebPage, WebSite

Commerce types present

none

Commerce types missing

Product, Offer, AggregateOffer, BuyAction, Review, AggregateRating

The gap

Offers visible to humans0

Offers in machine-readable form0

Click-throughs wrapped as BuyAction0

AI bot — with IA enrichment

IA enrichment adds (derived from existing page content)

Page already has explicit commerce schema — no enrichment delta to add.

Result for AI extractors

A bot fetching the URL pulls all 0 offers from JSON-LD in microseconds — no LLM inference, no prose parsing, no guessing at which discount applies.

View IA-rendered flattened HTML

7 Surefire Ways You Can Save at Alo in 2026 — Retailmenot

Shop Like a Total Pro Now Check Out RetailMeNot's New Amazon Storefront

Sold by: Amazon

Buy on Amazon

Shop Now

Sold by: Amazon

Buy on Amazon

View IA-generated JSON-LD @graph

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "NewsArticle",
      "headline": "7 Surefire Ways You Can Save at Alo in 2026",
      "url": "https://www.retailmenot.com/blog/save-at-alo-yoga.html",
      "publisher": {
        "@type": "Organization",
        "name": "Retailmenot"
      }
    },
    {
      "@type": "Product",
      "name": "Shop Like a Total Pro Now                                 Check Out RetailMeNot's New Amazon Storefront",
      "offers": {
        "@type": "Offer",
        "url": "https://www.amazon.com/shop/retailmenot?&linkCode=ll2&tag=retblog-20&linkId=1ec5228eb6c1cadc06821a2c978fc5df&language=en_US&ref_=as_li_ss_tl",
        "seller": {
          "@type": "Organization",
          "name": "Amazon"
        }
      },
      "potentialAction": {
        "@type": "BuyAction",
        "target": {
          "@type": "EntryPoint",
          "urlTemplate": "https://www.amazon.com/shop/retailmenot?&linkCode=ll2&tag=retblog-20&linkId=1ec5228eb6c1cadc06821a2c978fc5df&language=en_US&ref_=as_li_ss_tl",
          "actionPlatform": [
            "http://schema.org/DesktopWebPlatform"
          ]
        }
      }
    },
    {
      "@type": "Product",
      "name": "Shop Now",
      "offers": {
        "@type": "Offer",
        "url": "https://amzn.to/4plq7S3",
        "seller": {
          "@type": "Organization",
          "name": "Amazon"
        }
      },
      "potentialAction": {
        "@type": "BuyAction",
        "target": {
          "@type": "EntryPoint",
          "urlTemplate": "https://amzn.to/4plq7S3",
          "actionPlatform": [
            "http://schema.org/DesktopWebPlatform"
          ]
        }
      }
    }
  ]
}
</script>

🧠 The AI Training Split: knowledge harvest vs. commercial bypass

Even during deep crawls, AI ingests the expert knowledge for free while discarding the revenue paths. — https://www.retailmenot.com/blog/save-at-alo-yoga.html

💡 Knowledge scraped (information gain)

No extractable knowledge findings for this page.

💰 Monetization stripped (left behind)

💰 amazon · value captured: 0%

Bot accessibility

Edge / CDN: cloudflare· cf-ray header · server: cloudflare

Search / index crawlers

2 of 2 accessible to scanner

Build the search index AI assistants query when answering. Allowing these is what makes a publisher AI-citation-eligible.

oai_searchbot200

claude_searchbot200

User-initiated fetchers

3 of 3 accessible to scanner

Fetch a specific page when a user shares it in chat. Allowing these lets users reference your content in AI conversations.

chatgpt_user200

claude_user200

perplexity_user200

Training-data crawlers

4 of 6 accessible to scanner

Build training datasets. Blocking these is the lawsuit-safe posture — does not affect AI citation eligibility.

2 declared allowed in robots.txt — scanner observed 4xx. We can’t verify what real bots see from outside; the publisher edge logs are ground truth.

gptbot200

claudebot200

perplexitybot200

ccbot200

google_extended403