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

Disputed.ai

disputed.ai

Fraud, identity and complianceFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
867 of 2,219
its rank by overall score
Place in its category
83rd of 171 fraud and identity companies
Closing balance

Named in

3of 60 answers

by 1 of 4 assistants

Statement note

What this means for Disputed.ai

AI assistants name this fraud and identity company in 5% of answers, which is more often than the typical company in its sector at 1.7%. Its overall score is 30 out of 100, ranking 867th of 2,219 companies. The company's website passes 6 of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Disputed.ai by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 192nd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
30Overall score
  • Visibility5
  • Citations2
  • Sentiment50
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
6.3%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 4
Rank in its sector
253 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

Disputed.ai came up on 3 of 15 questions. Open any window to read that answer.

  1. 01How are chargeback intelligence platforms typically priced for enterprise customers?0/4
  2. 02Is it worth investing in an enterprise-grade chargeback intelligence platform for a fraud team?0/4
  3. 03Why might enterprise-level chargeback prevention still let disputes slip through?0/4
  4. 04How can existing fraud prevention stacks be adapted to handle chargeback and dispute resolution?0/4
  5. 05What are the best chargeback intelligence platforms for large enterprise fraud teams?1/4
  6. 06How can enterprise fraud teams leverage chargeback intelligence software to improve win rates in disputes?0/4
  7. 07What should I look for when selecting a chargeback intelligence tool for large-scale operations?0/4
  8. 08What could cause an automated chargeback detection platform to miss cases of refund abuse?0/4
  9. 09Chargeback intelligence platform vs traditional fraud detection software — what's the difference?1/4
  10. 10What factors influence the cost of implementing an intelligence layer for chargeback management?0/4
  11. 11How do manual dispute management solutions compare to automated chargeback prevention tools?0/4
  12. 12What are the main alternatives to dedicated chargeback management software for enterprise teams?0/4
  13. 13What strategies can help prevent illegitimate chargebacks from reaching the dispute queue in high-volume businesses?0/4
  14. 14Which features are most important in a chargeback intelligence solution for large US-based merchants?1/4
  15. 15Which tools help prevent chargebacks and detect abuse in enterprise payment systems?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 3/15All assistants: 3/60
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 Gemini actually said

An answer that names the company

Gemininamed the company

“Chargeback intelligence platform vs traditional fraud detection software — what's the difference?”

… Examples: Chargeflow, Chargebacks911, and Disputed.ai are examples of chargeback intelligence platforms.

Traditional Fraud Detection Software

Traditional fraud detection software primarily focuses on identifying and preventing fraudulent transactions at the point of sale or during account activity.

Key characteristics include:

Focus on pre-transaction or real-time detection: These systems analyze transaction data and user behavior patterns to identify anomalies and flag suspicious activity before it leads to financial loss.

Rule-based and AI/ML approaches: They …

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
    Chargebacks911
    3
  2. 02
    Chargeback Gurus
    2
  3. 03
    Midigator
    1

Share of mentions

CompanyShare
  1. Verifi (A Visa Solution)
    37.5%
  2. Chargebacks911
    20.8%
  3. Kount (by Equifax)
    20.8%
  4. Midigator
    10.4%
  5. Disputed.ai
    6.3%
  6. Chargeback Gurus
    4.2%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    chargeflow.io
    19
  2. 02
    chargeback.io
    15
  3. 03
    fraud.net
    10
  4. 04
    stripe.com
    9
  5. 05
    chargebackgurus.com
    7
  6. 06
    seon.io
    6
  7. 07
    chargebacks911.com
    6
  8. 08
    chatfin.ai
    6
  9. 09
    guideflow.com
    6
  10. 10
    fraudio.com
    5

Disputed.ai is in the study as a fraud and identity company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
3/15
Claude
0/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How Disputed.ai 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
5

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

Citations
2

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

Sentiment
50

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
43

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
30
Ranks 253 of 574. Typical company: 29
Named in answers
5.0%
Ranks 192 of 574. Typical company: 1.7%
AI readiness
43
Ranks 29 of 574. Typical company: 29
Against its categorySection 08

Compared with fraud and identity companies

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

Overall score
30
Ranks 82 of 171. Typical company: 30
Named in answers
5.0%
Ranks 56 of 171. Typical company: 1.7%
AI readiness
43
Ranks 11 of 171. Typical company: 36
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
Can an AI agent check out here?

Not by itself. Disputed.ai 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
77 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 headersNot met

    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
50 of 100
  • Markdown negotiationNot met

    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 43 of 100 · 97% of checks could run · checked on October 9, 2026 · disputed.ai · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

6 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

  • Passedrobots.txt publishedstudy: 85.1%
  • PassedXML sitemapstudy: 79.4%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

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

Bot Access Control

  • PassedExplicit 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%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets rules for 8 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespider*partly
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBot*allowed
  • Claude-SearchBotallowed
  • PerplexityBot*allowed
  • Applebot*allowed
  • Amazonbotallowed
  • YouBot*allowed

Answering questions

  • ChatGPT-User*allowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

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ShareSection 12

Share this result

Overall score 30 of 100 badge for Disputed.ai

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/disputed.ai"><img src="https://aeo-audit.rezolve.com/finance/badges/disputed.ai.svg" alt="Overall score 30 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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