nih.gov

Classified by Aater · 17 May 2026

nih.gov is accessible and legible to AI systems, but lacks the authority signals needed for consistent attribution.

capturable
absent
marginal
capturable
emerging
authoritative
How this classification was derived · the three gates
Gate 1 · Reachability
pass

AI systems can access and fetch this domain's content.

Gate 2 · Legibility
present

Content present but not fully structured

Gate 3 · Authority
weak

Authority signals are insufficient for reliable AI citation.

Primary constraint: Content has high density (0.30) but lacks the minimum required distinct entities or specific data claims.

AI systems can reach nih.gov but struggle to extract its content.

Recommended next steps
1.Add substantive content to the initial HTML2 hr

Expected impact: Improves Legibility

2.Wrap primary content in <main>15 min

Expected impact: Improves Legibility

View implementation →
<main>
  <!-- primary page content -->
</main>
3.Add author attribution1 hr

Expected impact: Improves Authority

View implementation →
<script type="application/ld+json">
{ "@context":"https://schema.org", "@type":"Article",
  "headline":"Post title",
  "author":{ "@type":"Person", "name":"Author Name", "url":"https://example.com/author" } }
</script>
Why these recommendations?

Content density is 0.30 against a threshold of 0.3 for Structured classification. The page lacks sufficient specific claims and named entities for AI systems to extract meaningful, attributable information.

• Sparse extractable content (120 words) in raw HTML.

• No structured data (JSON-LD / schema.org) — machine-readable metadata is absent.

• No <main>/<article> landmark — main content is not demarcated for parsers.

• No Organization schema — entity identity is not machine-asserted.

• No author attribution — content lacks attributable provenance.

• Add authorship markup: AI systems weight content from named authors more heavily. Anonymous content is treated as lower trust.

Additional signal · Entity presence
Does not affect participation state

How the public web recognizes this organization as an entity (knowledge graph). Observational only — a lower bound: absence means “not documented in the knowledge graph,” not “does not exist.”

✓Recognized as an entity in Wikidata: United States National Institutes of Health.
✓English Wikipedia article present.
✓Linked YouTube presence.
·No linked GitHub presence.
✓Crunchbase organization profile present.
See how nih.gov compares to a competitor →
Pulse · Live monitoring
This is a snapshot. Pulse is the live feed.

See which AI agents are actually crawling nih.gov — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and more — at what frequency and depth. A lightweight snippet reveals the agent activity your logs don't surface.

Pulse can alert you when authority signals improve or new AI agent activity is detected on nih.gov.

Activate Pulse on nih.gov →

Lightweight install · no performance impact · first agent activity in 24–72h (traffic-dependent)

What AI systems extract from this page →

Server-delivered content the crawler read · first 400 characters

National Institutes of Health (NIH) | Skip to main content An official website of the United States government Here’s how you know Here’s how you know Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS A lock ( Lock A locked padlock ) or https:// means you’ve safely connected to the .gov website. Share sensi

Measured 17 May 2026 · 18d ago

This classification reflects Aater's assessment of observable structural signals. It does not represent an editorial opinion about the quality or value of this domain or organisation. Domain owners may request removal by writing to founder@aater.ai. Requests are honoured within 48 hours.