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AEO/GEO Audit — anthropic.com

Audited: 2026-05-16 · Pages crawled: 6

Example output produced by audit-website-aeo. Real crawl data; the intelligence scores below were assigned by reading the page excerpts.

Score

Score
Foundational (16 checks) 72/100
Intelligence (6 dimensions) 63/100
Final 68/100 Grade: C+

The site is technically clean and well-written, but missing structured-data and freshness signals keep it from being an easy, confident citation source.

Foundational Checks

Check Detail
✗ Structured data present 2/6 pages passed
✗ Schema types identified 2/6 pages passed
✗ Content structure 2/6 pages passed (heading levels skipped/single-level)
✗ llms.txt valid No llms.txt found
✗ RSS/Atom feed No RSS/Atom feed found
✓ Clear page title 6/6
✓ Meta description 6/6
✓ Canonical URL 6/6
✓ Single H1 heading 6/6
✓ Open Graph basics 6/6
✓ Internal linking 6/6
✓ Image alt coverage 5/6
✓ Readable content depth 6/6
✓ Indexable for discovery 6/6
✓ AI-accessible meta tags 6/6
✓ AI bot access No AI bots blocked in robots.txt

Intelligence Evaluation

Answer Readiness — 3/5 (60/100). Product and guidance pages lead with clean definitions ("Anthropic Interviewer is a research tool, powered by Claude, that…"); the homepage is promotional and navigational. Several questions answerable, but no FAQ-first structure across the site.

Quotability — 4/5 (80/100). Self-contained passages and concrete metrics ("Claude Haiku 4.5 scores 73.3% on SWE-bench Verified") are easy to extract; two pages carry FAQPage structure. Strong — clear answer blocks and lists.

Evidence Density — 3/5 (60/100). Product pages cite hard numbers and sample sizes ("1,250 professionals", "81,000 people"); value/careers pages run on qualitative copy. No author attribution anywhere. Uneven — strong on product pages, thin elsewhere.

Content Depth — 3/5 (60/100). Every page clears the depth threshold, but the crawl surfaced only home + miscellaneous pages — no docs or blog corpus. Adequate; lacks a deep knowledge section.

Freshness — 3/5 (60/100). Some pages show visible recent dates ("Last updated Jul 10, 2025"), but these are inline text, not machine-readable article:modified_time meta tags — and there is no RSS feed. Current content, weak machine-readable freshness signals.

Structural Clarity — 3/5 (60/100). Single H1 and clean titles throughout, but heading hierarchy passes only 2/6 pages and the homepage extract is noisy with repeated nav text. Readable, but the outline does not chunk cleanly.

Prioritized Fixes

  1. Add JSON-LD structured data to all key templates (High impact / Medium effort) — only 2/6 pages carry any schema. Add Organization + WebSite site-wide, Article to content pages, Product/SoftwareApplication to model pages. Agents rely on this to classify entities.
  2. Publish a valid llms.txt (Medium / Low) — none exists. A heading + curated links gives AI systems a trusted index of the site.
  3. Emit machine-readable date meta tags (Medium / Low) — convert visible "Last updated" dates into article:published_time / article:modified_time. Freshness is a top citation driver.
  4. Fix heading hierarchy (Medium / Low) — 4/6 pages skip levels or use one. Enforce H1 → H2 → H3 so passages chunk cleanly.
  5. Add an RSS/Atom feed (Medium / Low) — helps AI systems discover new announcements and releases.

Weakest Pages

Score URL
73% https://www.anthropic.com/
80% https://www.anthropic.com/about-anthropic-interviewer
86% https://www.anthropic.com/candidate-ai-guidance

Recommendation

The biggest, lowest-effort win is structured data — it fails on two-thirds of pages and is a hard prerequisite for AI classification. Combined with llms.txt and machine-readable dates, these fixes would lift the foundational score into the 80s. Run improve-aeo-geo against the site's codebase to apply them, then re-run this audit to confirm the delta.