AEO Score Report

Is github.com optimized for AI search?

github.com scored 70/100 on AEO Optimizer's AI visibility audit. See how github.com stacks up across 6 AEO factors — structured data, semantic HTML, llms.txt, and AI crawler access.

70/ 100

github.com AEO Score: 70/100

Good · 4 of 6 checks passed

Quick Answer Blocks
Passed
AI Bot Access
Passed
LLMs.txt File
Passed
FAQ Schema
Needs Work
Semantic HTML
Needs Work
HowTo Schema
Passed

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What does an AEO Score for github.com measure?

An AEO (Answer Engine Optimization) score measures how ready a website is to be cited by AI search engines like ChatGPT, Perplexity, Claude, and Google AI Overviews. AEO Optimizer checks github.com across six weighted factors and returns a 0-100 score.

Quick Answer Blocks

20%

40-60 word definition content AI engines extract for featured answers.

FAQ Schema

20%

FAQPage JSON-LD structured data that makes Q&A content directly extractable.

Semantic HTML

20%

Proper use of article, main, section, header tags and one h1 per page.

llms.txt

15%

Emerging convention for giving AI models instructions about your site.

AI Bot Access

15%

robots.txt rules for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and others.

HowTo Schema

10%

Step-by-step JSON-LD that surfaces tutorials in AI responses.

How to improve github.com's AEO score

  1. Run a free scan to see which of the 6 AEO factors github.com is failing.
  2. Add a quick answer block with a 40-60 word definition near the top of key pages.
  3. Implement FAQPage JSON-LD with 3+ questions on FAQ and support pages.
  4. Use semantic HTML — wrap content in <main>, <article>, and <section>.
  5. Upload llms.txt with site info, key pages, topics, and contact details.
  6. Allow AI bots in robots.txt — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and more.

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