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https://www.espn.com/espn/betting/story/_/id/48882680/mlb-betting-tips-odds-lines-2026-thursday-may28 ↗

2026-05-29 20:28 UTC · ready · vertical: product · schema score: 0/100
Summary

The page is a sports betting tips article for MLB games on May 28, 2026, with one outbound merchant link but no product offers or pricing data embedded in the content itself. The structured data layer currently includes NewsArticle, Person, and WebSite schemas but omits all commerce-related types—specifically Product, Offer, BuyAction, Review, and AggregateRating—which are critical for product vertical classification. All citation and training crawlers can reach and fetch the page without restriction, and probe results show 2 of 2 explicit citations matched the URL. IA's enrichment would add a single BuyAction wrapper to make the betting action pathway explicit to downstream consumers, converting the implicit merchant intent into a machine-readable signal.

Citation bots reachable — oai_searchbot, claude_searchbot
This URL is reachable by the AI search indexes that drive live citations. Enrichment (next panel) is applicable here.

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.

AI Bot Today — During Live Search
On the page
Offers detected (0)
none
Outbound merchant URLs (1)
evanalytics.com
In the JSON-LD layer
Types present (7)
ImageObject, NewsArticle, Person, WebPage, WebSite, http://www.schema.org/SiteNavigationElement, organization
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 of 1
AI bot — with IA enrichment
IA enrichment adds (derived from existing page content)
  • + 1 BuyAction nodes wrapping existing outbound link
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

MLB betting tips for Thursday: Risk the under on Eovaldi, Skenes K's? - ESPN — Espn

View IA-generated JSON-LD @graph
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "NewsArticle",
      "headline": "MLB betting tips for Thursday: Risk the under on Eovaldi, Skenes K's? - ESPN",
      "url": "https://www.espn.com/espn/betting/story/_/id/48882680/mlb-betting-tips-odds-lines-2026-thursday-may28",
      "publisher": {
        "@type": "Organization",
        "name": "Espn"
      }
    }
  ]
}
</script>

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

Edge / CDN: cloudfront· x-amz-cf-id header · x-amz-cf-pop header · via: cloudfront
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
6 of 6 accessible to scanner
Build training datasets. Blocking these is the lawsuit-safe posture — does not affect AI citation eligibility.
gptbot200
claudebot200
perplexitybot200
ccbot200
google_extended200
applebot_extended200
Traditional search engines
3 of 3 accessible to scanner
Bingbot, Googlebot, Applebot — not AI-specific.
bingbot200
googlebot200
applebot200
Raw fetch detail (status, bytes, timing)
IdentityStatusBytesBlocked?Timing
gptbot200158,137no1167ms
chatgpt_user200158,135no1146ms
oai_searchbot200158,135no1181ms
claudebot200158,135no1123ms
claude_user200158,135no984ms
claude_searchbot200158,137no864ms
perplexitybot200158,135no917ms
perplexity_user200158,135no784ms
googlebot200158,137no621ms
google_extended200158,135no701ms
bingbot200158,137no533ms
applebot200158,135no509ms
applebot_extended200158,137no398ms
ccbot200158,135no446ms
human2021,987no181ms
robots.txt policy per AI bot
CCBot: not_mentioned
GPTBot: not_mentioned
Bingbot: not_mentioned
Applebot: not_mentioned
ClaudeBot: not_mentioned
Googlebot: not_mentioned
Claude-User: not_mentioned
ChatGPT-User: not_mentioned
OAI-SearchBot: not_mentioned
PerplexityBot: not_mentioned
Google-Extended: not_mentioned
Perplexity-User: not_mentioned
Claude-SearchBot: not_mentioned
Applebot-Extended: not_mentioned

Render risk — what AI bots can actually parse

Render risk not computed for this scan.

Schema audit

0/100
Present · 7
ImageObjectNewsArticlePersonWebPageWebSitehttp://www.schema.org/SiteNavigationElementorganization
Missing · 5
ProductOfferReviewAggregateRatingBuyAction
Rubric breakdown (0 of 5 criteria met)
✗Offer0 pts
✗Review0 pts
✗Product0 pts
✗BuyAction0 pts
✗AggregateRating0 pts

potentialAction — commerce paths

⚠ No commerce-action schema present — AI has no canonical path back to this publisher.
Present · 0
(none)
Missing · 1
BuyAction

Affiliate footprint

No affiliate links detected in the page's raw HTML.