2026-06-09 17:38 UTC · ready · vertical: product · schema score: 55/100

Summary

The page presents a curated awards list of sleep supplements without transaction affordances—no add-to-cart buttons, pricing, or purchase links are present. The underlying schema declares Product and Offer types but omits Review, AggregateRating, and BuyAction, which are critical signals for recommendation and awards content in the supplements vertical. Citation bots can fetch the page and one of two explicit mentions resolved to the URL; training crawlers are reachable across all attempts. IA's enrichment would make the editorial authority of the awards themselves legible by surfacing review sentiment, aggregate quality signals, and the editorial selection rationale as explicit structured claims rather than leaving them implicit in prose and image context.

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 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 (12)

Article, Brand, BreadcrumbList, ImageObject, ItemList, ListItem, Offer, Organization, Product, Thing, WebPage, WebSite

Commerce types present

Product, Offer

Commerce types missing

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

Sleep Supplements That Actually Work, According to an Insomniac Editor | theSkimm — Theskimm

View IA-generated JSON-LD @graph

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "NewsArticle",
      "headline": "Sleep Supplements That Actually Work, According to an Insomniac Editor | theSkimm",
      "url": "https://www.theskimm.com/shopping/sleep-awards-supplements",
      "publisher": {
        "@type": "Organization",
        "name": "Theskimm"
      }
    }
  ]
}
</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: vercel· x-vercel-id header · server: vercel

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)

Identity	Status	Bytes	Blocked?	Timing
gptbot	200	172,140	no	1356ms
chatgpt_user	200	172,140	no	1020ms
oai_searchbot	200	172,140	no	1102ms
claudebot	200	172,140	no	1562ms
claude_user	200	172,140	no	1136ms
claude_searchbot	200	172,140	no	675ms
perplexitybot	200	172,140	no	535ms
perplexity_user	200	172,140	no	1185ms
googlebot	200	172,140	no	1056ms
google_extended	200	172,140	no	438ms
bingbot	200	172,140	no	1047ms
applebot	200	172,140	no	874ms
applebot_extended	200	172,140	no	739ms
ccbot	200	172,140	no	943ms
human	200	172,140	no	557ms

robots.txt policy per AI bot

CCBot: allowed

GPTBot: allowed

Bingbot: allowed

Applebot: allowed

ClaudeBot: allowed

Googlebot: allowed

Claude-User: allowed

ChatGPT-User: allowed

OAI-SearchBot: allowed

PerplexityBot: allowed

Google-Extended: allowed

Perplexity-User: allowed

Claude-SearchBot: allowed

Applebot-Extended: allowed

Render risk — what AI bots can actually parse

38/100

High — AI bots see scaffolding, not content

FrameworkNext.jsHydration gap89%

Hydration gap: 89%
AI bots see 11% of the rendered content. The remaining 89% loads via client-side JavaScript and is invisible to crawlers that don't execute JS.
Large JSON-in-script payload (141 KB)
Content trapped in <script type="application/json"> blobs that AI bots don't execute.

What AI bots are missing

links missing

rendered 86 · bot 40

headings missing

rendered 31 · bot 1

paragraphs missing

rendered 33 · bot 4

images missing

rendered 23 · bot 1

Sample content only humans see:

“Our Favorite Bedding to Curl Up In”
“12 of the Most Comfortable Pillows for Every Type of Sleeper”
“Our Favorite Sleep Tech That Makes Falling Asleep Easier”
“Products you buy through our links may earn us a commission. Oh, and if something's out of stock, oops, it was there (and all prices were accurate) at time of publication.”
“Looking to get more restful sleep? Check out our Sleep Awards.”

JSON traps — where the missing content is hiding

Found 1 large script-tag JSON blob (127.4 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.

__NEXT_DATA__next.js

127.4 KB of serialized data

Top-level keys: props, page, query, buildId, isFallback, isExperimentalCompile, gssp, scriptLoader

Schema audit

55/100

Present · 12

ArticleBrandBreadcrumbListImageObjectItemListListItemOfferOrganizationProductThingWebPageWebSite

Missing · 3

ReviewAggregateRatingBuyAction

Rubric breakdown (2 of 5 criteria met)

✓Product	30 pts
✓Offer	25 pts
✗Review	0 pts
✗BuyAction	0 pts
✗AggregateRating	0 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.