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LibBi (library for Bayesian inference)
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. Two-thirds of websites are invisible to them. LibBi (library for Bayesian inference) just got measured.
3/10 means LibBi (library for Bayesian inference) is currently invisible to AI search. Most AI assistants will not cite your brand when asked about your category. Claiming and applying the fixes below is the fastest way to change that.
About LibBi (library for Bayesian inference)
LibBi Download Stable View Dev Home Getting started Documentation Examples Related projects Papers Mailing list FAQ LibBi is used for state-space modelling and Bayesian inference on high-performance computer hardware, including multi-core CPUs, many-core GPUs (graphics processing units) and distributed-memory clusters.
Key Topics
Details
Category: Health & Wellness
libbi.orgAI Visibility Breakdown
1
Structured Data
6
Content Structure
4
Entity Clarity
2
E-E-A-T Signals
5
Technical AEO
2
AI Discoverability
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Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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Source & Attribution
Scored by Engagemii on June 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/libbi-org
Cite this score: Engagemii (2026). "AEO Score for LibBi (library for Bayesian inference)." Retrieved from https://engagemii.com/aeo/brands/libbi-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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