⚡ This is your brand? Claim your page FREE and bring it to life on AI search.
AI Visibility Scorecard
GitHub
mmseqs.com · Technology
Somewhat visible. AI bots can read GitHub, but it is missing the structured signals that push citation rate above competitors.
Monitoring for AI engine activity
In the Engagemii AEO index
#80,768 of 3,813,118 in Technology for AI visibility
6.4
/10
AEO Score
About GitHub
from mmseqs.com
MMseqs2: ultra fast and sensitive search and clustering suite - soedinglab/MMseqs2
The 6 signals AI reads
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
6
Clear headings and answer-style content.
Entity Clarity
7
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
4
Experience, Expertise, Authority, Trust markers.
Technical AEO
6
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
2
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
9
Inbound links from other sites.
Domain Trust
4
Established authority for your domain.
Entity Presence
10
Recognized in AI knowledge graphs.
News Mentions
0
No press coverage found yet.
Community
0
No community discussion yet.
0
No Reddit mentions found yet.
What this score means
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.4/10, GitHub has a working base to build on - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for GitHub
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech Shoppers Do More Research Than Anyone. Are You There When They're Looking?
Tech buyers are the most research-intensive shoppers on the internet.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for GitHub.
Source & Attribution
Scored by Engagemii on May 27, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mmseqs
Cite this score: Engagemii (2026). "AEO Score for GitHub." Retrieved from https://engagemii.com/aeo/brands/mmseqs
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
Powered by Engagemii - The Answer Engine Optimization (AEO) Platform