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

Forter

forter.com

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.
118 of 2,219
its rank by overall score
Place in its category
18th of 171 fraud and identity companies
Closing balance

Named in

4of 60 answers

by 3 of 4 assistants

Statement note

What this means for Forter

AI assistants name the fraud and identity company Forter in 6.7% of answers, which is more often than the typical company in its sector at 1.7%. Forter has an overall score of 43 out of 100, ranking 118th of 2,219 companies and 34th among 574 in its sector. Its website passes 13 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Forter by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 155th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
43Overall score
  • Visibility9
  • Citations3
  • Sentiment83
  • Site quality87
  • AI readiness93
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
16.0%
of the mentions of it and its 5 peers
AI readiness
13/14
technical checks passed. Typical for its sector: 4
Rank in its sector
34 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

Forter came up on 2 of 15 questions. Open any window to read that answer.

  1. 01How do rule-based fraud detection systems compare to AI-driven fraud prevention solutions for digital businesses?0/4
  2. 02Payment optimization vs fraud prevention tools—what are the key differences for enterprise ecommerce?0/4
  3. 03How can digital commerce platforms automate dispute resolution for credit card chargebacks?0/4
  4. 04What factors influence the cost of AI-driven fraud prevention solutions for enterprise ecommerce?0/4
  5. 05Do automated dispute management solutions actually reduce chargebacks for ecommerce merchants?0/4
  6. 06Which solutions other than AI-powered tools can help prevent account takeover in ecommerce?0/4
  7. 07Why might an automated fraud detection system flag legitimate customer transactions on an ecommerce site?0/4
  8. 08What’s the best way for online marketplaces to balance fraud prevention and customer experience?0/4
  9. 09What are the best AI-powered fraud prevention solutions for large ecommerce platforms?3/4
  10. 10What can cause false declines during online payment processing, and how can businesses minimize them?0/4
  11. 11What alternatives exist to traditional manual review for online order verification?0/4
  12. 12Are usage-based pricing models common for payment security solutions in the United States?1/4
  13. 13How can online retailers protect against payment fraud while keeping checkout friction low?0/4
  14. 14Is investing in AI-powered payment optimization worth it for mid-sized online stores?0/4
  15. 15What are some non-AI methods digital retailers use for dispute management and fraud prevention?0/4
Total namedOpenAI: 2/15Claude: 0/15Perplexity: 1/15Gemini: 1/15All assistants: 4/60
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 AI-powered fraud prevention solutions for large ecommerce platforms?”

For a large ecommerce platform, the strongest shortlist is Forter, Sift, Signifyd, Riskified, Stripe Radar, and TransUnion TruValidate. The best choice depends on whether the priority is guaranteed fraud protection, highly customizable risk intelligence, payment-native controls, or broader identity and account-abuse prevention.

Solution · Best fit · Key strengths

Forter · High-volume global marketplaces and retailers · Real-time automated decisions, strong identity and behavioral intelligence, and enterprise-scale transaction processing. It is particularly suited t …

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
    Sift
    4
  2. 02
    Riskified
    4
  3. 03
    Signifyd
    2
  4. 04
    ClearSale
    2

Share of mentions

CompanyShare
  1. Riskified
    24.0%
  2. Sift
    20.0%
  3. Forter
    16.0%
  4. Signifyd
    16.0%
  5. ClearSale
    12.0%
  6. Kount, an Equifax company
    12.0%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    corporate.visa.com
    12
  2. 02
    stripe.com
    7
  3. 03
    shopify.com
    7
  4. 04
    forter.com (its own website)
    6
  5. 05
    clear.sale
    6
  6. 06
    chargeflow.io
    5
  7. 07
    fraud.net
    5
  8. 08
    checkout.com
    4
  9. 09
    signifyd.com
    4
  10. 10
    nhimg.org
    4

Forter 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

OpenAI
2/15
Gemini
1/15
Perplexity
1/15
Claude
0/15
Market comparisonSection 06

How Forter 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
9

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

Citations
3

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

Sentiment
83

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
93

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
43
Ranks 34 of 574. Typical company: 29
Named in answers
6.7%
Ranks 155 of 574. Typical company: 1.7%
AI readiness
93
Ranks 1 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
43
Ranks 12 of 171. Typical company: 30
Named in answers
6.7%
Ranks 43 of 171. Typical company: 1.7%
AI readiness
93
Ranks 1 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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.

To reach level 3:
  • Markdown negotiation
Can an AI agent check out here?

Yes. Forter publishes UCP, ACP, x402, MPP, which an AI agent can pay or check out through.

Agent payment protocols
  • x402Published
  • MPPPublished
  • AP2Not present
  • ACPPublished
  • UCPPublished
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardPublished
  • Agent SkillsPublished
  • API CatalogPublished
  • 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 headersPassed

    HTTP Link headers on the homepage that point agents at machine readable resources.

    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
100 of 100
  • AI bot rulesPassed

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

    study: 92.7%
  • Content SignalsPassed

    Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.

    study: 2.3%
  • Web Bot AuthPassed

    A key directory other sites can use to verify requests from your own agents.

    study: 0.3%
APIs, auth and MCP
67 of 100
  • API CatalogPassed

    A linkset at /.well-known/api-catalog listing APIs, specs and docs.

    study: 1.3%
  • OAuth discoveryPassed

    OpenID Connect or OAuth metadata agents can use to sign in.

    study: 6.3%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    study: 5.3%
  • auth.mdPassed

    An auth.md describing how agents register and authenticate.

    study: 0.2%
  • MCP Server CardNot met

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

    study: 0.8%
  • A2A Agent CardPartly met

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

    study: 0.2%
  • Agent SkillsPassed

    A skills index at /.well-known/agent-skills/index.json that agents can load.

    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 79 of 100 · 97% of checks could run · checked on October 9, 2026 · www.forter.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

13 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

  • PassedMarkdown 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

  • PassedAPI Catalog (.well-known/api-catalog)study: 1.1%
  • PassedOAuth Authorization Server discoverystudy: 5.2%
  • PassedOAuth Protected Resource discoverystudy: 4.6%
  • PassedMCP Server Cardstudy: 0.2%
  • PassedA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • PassedAgent Skills declaredstudy: 0.1%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets rules for 19 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AI*allowed
  • Google-Extended*allowed
  • Applebot-Extended*allowed
  • Meta-ExternalAgent*blocked
  • FacebookBot*blocked
  • Bytespider*blocked
  • CCBot*blocked
  • Diffbot*blocked
  • Omgilibot*blocked

AI search

  • OAI-SearchBot*allowed
  • Claude-SearchBot*allowed
  • PerplexityBot*allowed
  • Applebotpartly
  • Amazonbot*allowed
  • YouBotpartly

Answering questions

  • ChatGPT-User*allowed
  • Claude-User*allowed
  • Perplexity-User*allowed
  • DuckAssistBotpartly
  • MistralAI-User*allowed

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 43 of 100 badge for Forter

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/forter.com"><img src="https://aeo-audit.rezolve.com/finance/badges/forter.com.svg" alt="Overall score 43 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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