AI Visibility Scorecard
Kepler
kepler.ai · Technology
Borderline visible. AI bots can crawl Kepler, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 6 times
Claude · Meta AI · Apple Intelligence
#1,299,541 of 2,705,505 in Technology for AI visibility
<1
4
AEO Visibility
iBorderline · 4/10
50
Muse Index Score
iAI agent readiness
Agent-ready · 50/100
17
AI Adoption
iBasic · 17/100
About Kepler
from our crawl and measurement
Kepler, based in New York, NY, describes itself simply: "Kepler builds verifiable and traceable AI infrastructure for industries where being wrong isn't an option. Starting with finance." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.0 out of 10.
Our crawl found structured data on the page (Organization, WebSite, WebPage), an llms.txt file for AI models and a readable heading structure. It is missing a sitemap.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Good
Clear headings and answer-style content.
Entity Clarity
Strong
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Weak
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
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. Roughly two-thirds of sites are invisible to them. At 4/10, Kepler is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
What is Kepler AI?
Kepler (kepler.ai) builds verifiable and traceable AI infrastructure for industries where being wrong isn't an option, starting with finance. Founded by ex-Palantir engineers, Kepler traces every answer to its source, making AI outputs defensible and reproducible. Kepler is not related to the Kepler space telescope, Kepler's laws of planetary motion, or Johannes Kepler the astronomer.
What data sources does Kepler use?
Kepler ingests data from SEC filings (10-K, 10-Q, 8-K, and more), earnings call transcripts, financial news, web search, stock market data, and investor relations materials. Every data point is traced back to its original source.
How is Kepler different from other AI finance tools?
Kepler's core differentiator is traceability. Every number links to its source document, every formula is explicit, and every answer is reproducible. Kepler uses a semantic layer that maps natural language to precise data definitions, so AI never guesses or calculates numbers on its own.
Who founded Kepler?
Kepler was founded by Vinoo Ganesh (CEO) and John McRaven (CTO), both former Palantir engineers who built data infrastructure for the world's most demanding organizations. The company is based in New York City.
What types of financial questions can Kepler answer?
Kepler handles quantitative queries (financial metrics, ratios), qualitative questions (news, filings analysis), financial data extraction to Excel, cross-company comparisons, trading comps (EV/EBITDA, P/E), and multi-source reasoning questions across SEC filings, transcripts, and news.
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The exact fixes for Kepler
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How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Source & Attribution
Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/kepler-ai
Cite this score: Engagemii (2026). "AEO Score for Kepler." Retrieved from https://engagemii.com/aeo/brands/kepler-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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