Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Kalshi

kalshi.com

Market data, ratings and exchangesFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
375 of 2,219
its rank by overall score
Place in its category
14th of 37 market data companies
Closing balance

Named in

25of 60 answers

by 4 of 4 assistants

Statement note

What this means for Kalshi

AI assistants name Kalshi in 41.7% of answers, much more often than the typical company in its sector, which is named in 1.7% of answers. Its overall score is 38 out of 100, ranking 375th of 2,219 companies. Kalshi's website passes 1 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Kalshi by name. AI assistants named it in 25 of the 60 answers. Counting only how often it is named, it ranks 8th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
38Overall score
  • Visibility41
  • Citations1
  • Sentiment62
  • Site quality73
  • AI readiness7
Summary of account
Named by AI in
41.7%
25 of 60 answers
Share of mentions
43.1%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
127 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

Kalshi came up on 11 of 15 questions. Open any window to read that answer.

  1. 01How do traders use event contracts to capitalize on breaking news in finance or politics?0/4
  2. 02Why was my event contract settlement delayed on a US-based platform?0/4
  3. 03Are event contract marketplaces worth using for making predictions on elections?1/4
  4. 04Prediction markets vs sports betting: what's the difference when speculating on real-world events?1/4
  5. 05Is trading event contracts a reliable way to hedge against real-world risks?0/4
  6. 06How does a regulated event contract exchange differ from a decentralized prediction platform?2/4
  7. 07What are some non-betting alternatives to event contract trading for forecasting real-world outcomes?0/4
  8. 08Alternatives to US-based prediction markets for participating in event outcome speculation2/4
  9. 09Where can I find trending real-world events with liquid event contracts for trading?4/4
  10. 10How do real-money prediction markets work for major sports events?1/4
  11. 11What are the best event contract platforms for trading on US political outcomes?4/4
  12. 12Common issues when depositing funds into regulated prediction markets in the US3/4
  13. 13What are popular ways people use prediction markets to trade on entertainment outcomes?1/4
  14. 14What is the minimum deposit required to start trading on US prediction markets?4/4
  15. 15How are transaction fees structured on regulated event contract platforms?2/4
Total namedOpenAI: 4/15Claude: 9/15Perplexity: 4/15Gemini: 8/15All assistants: 25/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

Transaction detailSection 02

What Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the best event contract platforms for trading on US political outcomes?”

For U.S. users, Kalshi is generally the strongest all-around choice for political event contracts, while Interactive Brokers ForecastEx is worth considering if you already use IBKR. Polymarket can offer substantial liquidity and international coverage, but U.S. access and regulatory status require careful verification.

Platform · Best for · Key considerations

Kalshi · Broad U.S. political coverage and regulated access · Offers contracts on elections, congressional control, nominations, and policy events; contracts generally pay $1 if the specified outcome o …

The AI’s answer as we received it, shortened and not checked for accuracy.

PayeesSection 03

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Also named

CompanyTimes named
  1. 01
    Polymarket
    16
  2. 02
    PredictIt
    6
  3. 03
    Smarkets
    2

Share of mentions

CompanyShare
  1. Kalshi
    43.1%
  2. Polymarket
    41.4%
  3. PredictIt
    12.1%
  4. Smarkets
    3.4%
  5. American Civics Exchange
    0.0%
  6. Insight Prediction
    0.0%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    investopedia.com
    12
  2. 02
    cryptoslate.com
    10
  3. 03
    rotowire.com
    10
  4. 04
    sailgp.com
    9
  5. 05
    cbssports.com
    7
  6. 06
    thelines.com
    7
  7. 07
    si.com
    7
  8. 08
    dimers.com
    6
  9. 09
    finder.com
    6
  10. 10
    federalnewsnetwork.com
    6

Kalshi is in the study as a market data company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
9/15
Gemini
8/15
OpenAI
4/15
Perplexity
4/15
Market comparisonSection 06

How Kalshi compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
41

How often AI assistants name the company, and how that compares with its peers

Citations
1

How often AI uses the company's own website as a source

Sentiment
62

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
7

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Against its sectorSection 07

Compared with financial technology and data companies

574 companies in this sector. The gold tick on each bar is the typical company.

Overall score
38
Ranks 127 of 574. Typical company: 29
Named in answers
41.7%
Ranks 8 of 574. Typical company: 1.7%
AI readiness
7
Ranks 533 of 574. Typical company: 29
Against its categorySection 08

Compared with market data companies

37 companies in this category. The gold tick on each bar is the typical company.

Overall score
38
Ranks 14 of 37. Typical company: 36
Named in answers
41.7%
Ranks 5 of 37. Typical company: 15.0%
AI readiness
7
Ranks 35 of 37. Typical company: 29
AI agentsSection 09

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Can an AI agent check out here?

Not by itself. Kalshi publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtPublished
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
100 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 87.9%
  • Link headersCould not check

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
100 of 100
  • Markdown negotiationCould not check

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    study: 92.7%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 2.3%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 1.0%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 0.0%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 51 of 100 · 81% of checks could run · checked on October 9, 2026 · kalshi.com · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

1 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks

Discoverability

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML sitemapstudy: 79.4%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
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ShareSection 11

Share this result

Overall score 38 of 100 badge for Kalshi

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/finance/kalshi.com"><img src="https://aeo-audit.rezolve.com/finance/badges/kalshi.com.svg" alt="Overall score 38 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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