Measuring brand share in AI answers – a Y Combinator case study
Show HN: Measuring brand share in AI answers – a Y Combinator case study
Measuring brand share in AI answers – a Y Combinator case study is active in the show hn launch space.
Profile
After working in data science at Google, I built GeoVector to systematically measure how brands appear in AI-generated answers. Our approach is research-based, using position-adjusted scoring grounded in published GEO literature. The Y Combinator report is one example of the analysis we run.We ran 150 prompts across ChatGPT and Gemini, tracking 21 brands. Three things that surprised us:1. Techstars outranks YC on ChatGPT despite YC's far stronger Google presence 2. YC's own site accounts for just 8 of 940 AI source references 3. The single most-cited source driving competitor visibility is a blog post on pitchwise.se — not any accelerator's own websiteFull report at the link, no signup. GeoV
The company sits in the show hn launch segment, where it competes on its core product or service.
Its current recorded stage is Show HN launch.
| Sector | Show HN launch |
|---|---|
| Stage | Show HN launch |
Website: www.geovector.ai/report/yc
Browse related
Create a free account