Data●Mid
Measuring brand share in AI answers – a Y Combinator case study
Thorough methodology, but it's a one-off report—no recurring product or unique insight beyond the YC analysis.
Big Brain
roman10
433mo ago
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GitHub Repository
6 starsTypeScript
I built an open-source tool to see if ChatGPT recommends your products
by zipvoila·May 19, 2026·1 point·1 comment
AI Analysis
●MidShip It
CLI for tracking brand mentions in LLM outputs when manual checking is too slow.
Strengths
- •Automates the tedious process of querying multiple models for brand presence.
- •Generates HTML reports to visualize visibility trends over time easily.
Weaknesses
- •LLM non-determinism makes consistent ranking metrics scientifically dubious.
- •Solves a marketing vanity metric rather than a deep technical engineering problem.
Category
Target Audience
Marketers and brand managers monitoring AI visibility
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Brandwatch · SEMrush
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