YC AI visibility / Summer 2011
Most AI-visible companies in YC Summer 2011
We scored 9 active B2B and fintech companies from Y Combinator's Summer 2011 batch on how easily ChatGPT, Perplexity, Claude and AI agents can find, understand and use them. HackerRank leads with 98/100. Data from our crawl on October 18, 2026; scores are a homepage snapshot, not live.
Summer 2011 average score
All-YC average (+14 for this batch)
of this batch have no llms.txt (all YC: 55%)
| # | Company | Score | Crawlers | Content | Schema | Agents |
|---|---|---|---|---|---|---|
| 1 | HackerRank hackerrank.com | 98 | 95 | 100 | 100 | 100 |
| 1 | MixRank mixrank.com | 98 | 100 | 94 | 100 | 100 |
| 3 | Streak streak.com | 97 | 95 | 94 | 100 | 100 |
| 4 | Apollo apollographql.com | 95 | 95 | 87 | 100 | 100 |
| 4 | OneSignal onesignal.com | 95 | 100 | 94 | 100 | 83 |
| 4 | Sift sift.com | 95 | 100 | 94 | 100 | 83 |
| 7 | LeadGenius leadgenius.com | 90 | 95 | 83 | 100 | 83 |
| 8 | GoCardless gocardless.com | 76 | 100 | 89 | 8 | 64 |
| 9 | Videopixie videopixie.com | 73 | 100 | 87 | 20 | 47 |
Sub-scores: Crawlers = AI crawler access, Content = answer-engine content, Schema = structured data, Agents = agent readiness (llms.txt, API/MCP). Ties share a rank.
YC Summer 2011 vs all of YC
| Area | Summer 2011 | All YC |
|---|---|---|
| Overall score | 91 | 77 |
| AI crawler access | 98 | 93 |
| Answer-engine content | 91 | 82 |
| Structured data | 81 | 62 |
| Agent readiness | 84 | 56 |
Most common gaps in YC Summer 2011
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Show your rank in YC Summer 2011
Add a badge to your site, docs or README that links to this leaderboard. Replace hackerrank.com with your domain, or copy the ready-made snippet from your company's page. Example for HackerRank:
<a href="https://getrankroot.com/yc/summer-2011"><img src="https://getrankroot.com/api/badge/yc?domain=hackerrank.com" alt="YC Summer 2011 · AI visibility #1 of 9" height="20"></a>
[](https://getrankroot.com/yc/summer-2011)
Other YC batches
All YC companiesFall 2026Summer 2026Spring 2026Winter 2026Fall 2025Summer 2025Spring 2025Winter 2025Fall 2024Summer 2024Winter 2024Summer 2023Winter 2023Summer 2022Winter 2022Summer 2021Winter 2021Summer 2020Winter 2020Summer 2019Winter 2019Summer 2018Winter 2018Summer 2017Winter 2017Summer 2016Winter 2016Summer 2015Winter 2015Summer 2014Winter 2014Summer 2013Winter 2013Summer 2012Winter 2012Winter 2011
Methodology: how the YC dataset was built. Batch labels come from Y Combinator's public directory; RankRoot is not affiliated with Y Combinator.