YC AI visibility / Winter 2017

Most AI-visible companies in YC Winter 2017

We scored 17 active B2B and fintech companies from Y Combinator's Winter 2017 batch on how easily ChatGPT, Perplexity, Claude and AI agents can find, understand and use them. Bitrise leads with 96/100. Data from our crawl on October 18, 2026; scores are a homepage snapshot, not live.

78

Winter 2017 average score

77

All-YC average (+1 for this batch)

47%

of this batch have no llms.txt (all YC: 55%)

#CompanyScoreCrawlersContentSchemaAgents
1Bitrise
bitrise.io
9610010010083
1Nomba
nomba.com
961009410088
1Rippling
rippling.com
9610010010083
4Plane
plane.com
9510081100100
4Veryfi, Inc.
veryfi.com
959587100100
6RankScience
rankscience.com
909510010062
6Snappr
snappr.com
901008910071
8Ambient.ai
ambient.ai
86958710062
8OneFin
onefin.in
8695946774
10Upcall
upcall.com
82858310064
11Apozy
apozy.com
7195812052
12Ledger Investing
ledgerinvesting.com
6895812038
12Voiceops
voiceops.com
689587838
14Bulk MRO Industrial Supply
bulkmro.com
619567835
15FastJVM
fastjvm.com
5685632026
16Aella
aellaapp.com
5185392035
17Request Network
request.network
34728826

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 Winter 2017 vs all of YC

AreaWinter 2017All YC
Overall score7877
AI crawler access9393
Answer-engine content7982
Structured data6362
Agent readiness6156

Most common gaps in YC Winter 2017

No question & answer content76% (all YC: 71%)
No discoverable API or MCP for agents71% (all YC: 87%)
Pricing not machine-readable53% (all YC: 40%)
No product / organization schema47% (all YC: 46%)
No llms.txt47% (all YC: 55%)
Weak or missing meta description41% (all YC: 32%)
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Show your rank in YC Winter 2017

Add a badge to your site, docs or README that links to this leaderboard. Replace bitrise.io with your domain, or copy the ready-made snippet from your company's page. Example for Bitrise:

YC Winter 2017 · AI visibility #1 of 17
HTML
<a href="https://getrankroot.com/yc/winter-2017"><img src="https://getrankroot.com/api/badge/yc?domain=bitrise.io" alt="YC Winter 2017 · AI visibility #1 of 17" height="20"></a>
Markdown
[![YC Winter 2017 · AI visibility #1 of 17](https://getrankroot.com/api/badge/yc?domain=bitrise.io)](https://getrankroot.com/yc/winter-2017)

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 2017Summer 2016Winter 2016Summer 2015Winter 2015Summer 2014Winter 2014Summer 2013Winter 2013Summer 2012Winter 2012Summer 2011Winter 2011

Methodology: how the YC dataset was built. Batch labels come from Y Combinator's public directory; RankRoot is not affiliated with Y Combinator.