AI crawlers allowed
20/20 pts
robots.txt allows GPTBot, ChatGPT-User, anthropic-ai, ClaudeBot, PerplexityBot, and Google-Extended.
AI Readiness Report
How visible harvard.edu is to AI engines like ChatGPT, Perplexity, Gemini, and Claude, based on a technical scan of crawler access, structured data, and citation signals.
Summary
harvard.edu has an AI Readiness score of 65/100, placing it at Maturity Level 3: Retrievable. The site was scanned on April 27, 2026 across 7 technical signals that influence whether AI engines like ChatGPT, Perplexity, Gemini, and Claude can discover, parse, and cite content from harvard.edu.
Maturity Level 3
Based on 65 out of 100 points across 7 technical signals that influence whether AI engines can discover, parse, and cite harvard.edu.
Content-level signals were checked on: https://www.harvard.edu/2023/12/12/statement-from-the-harvard-corporation-our-p…
20/20 pts
robots.txt allows GPTBot, ChatGPT-User, anthropic-ai, ClaudeBot, PerplexityBot, and Google-Extended.
0/10 pts
No /llms.txt file. AI engines have no curated guide to the site's purpose and key pages.
Fix: Publish /llms.txt with a short site description and links to your most important pages.
15/15 pts
JSON-LD Organization or LocalBusiness markup is present on the homepage.
15/15 pts
Article, BlogPosting, or NewsArticle markup is present on content pages.
0/15 pts
No FAQPage schema detected on homepage, content pages, or /faq endpoints.
Fix: Add a FAQ section with FAQPage JSON-LD. This is one of the most AI-cited schema types.
0/10 pts
Content pages have no Person schema with a verifiable identity (sameAs link or author bio URL).
Fix: Add JSON-LD Person to article authors with sameAs link to LinkedIn or other verifiable profile.
15/15 pts
A Sitemap: directive in robots.txt points to the sitemap.xml file.
The score above measures technical readiness. The next step is measuring whether ChatGPT, Perplexity, Gemini, and Claude currently mention harvard.edu for the queries that matter. The free AI Visibility Audit runs live queries against the engines and reports back.
Run free AI Visibility Audit →Re-scan harvard.edu →
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Maturity model →
The 5-level framework behind this score.
2026 report →
How harvard.edu compares to the top 500.
harvard.edu scored 65 out of 100 on the Appearly AI Readiness scan, placing it at Maturity Level 3 (Retrievable).
Yes. robots.txt allows GPTBot, ChatGPT-User, anthropic-ai, ClaudeBot, PerplexityBot, and Google-Extended.
No. No /llms.txt file. AI engines have no curated guide to the site's purpose and key pages. Publish /llms.txt with a short site description and links to your most important pages.
Yes. JSON-LD Organization or LocalBusiness markup is present on the homepage.
Yes. Article, BlogPosting, or NewsArticle markup is present on content pages.
No. No FAQPage schema detected on homepage, content pages, or /faq endpoints. Add a FAQ section with FAQPage JSON-LD. This is one of the most AI-cited schema types.
No. Content pages have no Person schema with a verifiable identity (sameAs link or author bio URL). Add JSON-LD Person to article authors with sameAs link to LinkedIn or other verifiable profile.
Yes. A Sitemap: directive in robots.txt points to the sitemap.xml file.
Appearly scans up to 8 pages per domain (homepage, robots.txt, /llms.txt, sitemap, and a discovered content page) to evaluate 7 signals weighted from 10 to 20 points each. The maturity model maps total score to one of 5 levels: Invisible (0), Discoverable (1), Indexable (2), Retrievable (3), Cited (4).
Sources and references:
Published: · Last updated: · Publisher: Appearly (AI Visibility Platform)