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.

Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
Statement period
October 9, 2026
when the AI assistants were asked
Account no.
307 of 2,219
its rank by overall score
Closing balance

Named in

7of 60 answers

by 3 of 4 assistants

Statement note

What this means for Advanced Fraud Solutions

AI assistants name this fraud and identity company in 11.7% of answers, much more often than the typical company in its sector at 1.7%. It has an overall score of 39 out of 100, ranking 307th of 2,219 companies. Its website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Advanced Fraud Solutions by name. AI assistants named it in 7 of the 60 answers. Counting only how often it is named, it ranks 100th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
39Overall score
  • Visibility13
  • Citations4
  • Sentiment93
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
11.7%
7 of 60 answers
Share of mentions
17.9%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
94 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

Advanced Fraud Solutions came up on 4 of 15 questions. Open any window to read that answer.

  1. 01Which real-time fraud prevention tools are recommended for community banks?2/4
  2. 02How can banks use fraud detection software to prevent account takeover attempts?0/4
  3. 03What are the best fraud detection software options for credit unions?1/4
  4. 04How does check fraud detection differ from ACH fraud prevention solutions?0/4
  5. 05Positive pay systems vs. consortium-powered fraud detection—what's the difference?0/4
  6. 06Is it worth investing in enterprise-level fraud detection software for small banks?0/4
  7. 07Leading fraud detection solutions for stopping check, ACH, and wire fraud in the US?2/4
  8. 08Common reasons ACH fraud prevention systems generate false positives?0/4
  9. 09Manual vs. automated fraud detection—pros and cons for regional banks?0/4
  10. 10What fraud risks can positive pay systems help mitigate for business accounts?0/4
  11. 11What alternatives exist to real-time fraud detection software for credit unions?0/4
  12. 12Are there affordable fraud prevention tools designed for smaller community banks?2/4
  13. 13What factors affect the cost of fraud detection software for financial institutions?0/4
  14. 14Why might fraud detection software not catch certain suspicious check transactions?0/4
  15. 15Do real-time wire fraud monitoring tools justify their cost for regional credit unions?0/4
Total namedOpenAI: 0/15Claude: 3/15Perplexity: 1/15Gemini: 3/15All assistants: 7/60
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 Claude actually said

An answer that names the company

Claudenamed the company

“Leading fraud detection solutions for stopping check, ACH, and wire fraud in the US?”

I'll search for information about the leading fraud detection solutions for these payment types in the US.Based on the latest information, here are the leading fraud detection solutions for stopping check, ACH, and wire fraud in the US:

Top Solutions

Advanced Fraud Solutions (AFS)

AFS provides fraud detection software for community banks and credit unions that stops check, ACH, and wire fraud in real time. Their products include TrueChecks, TrueAccount, TrueACH, and Positive Pay.

Abrigo Fraud Detection

Abrigo Fraud Detection is a scalable, AI-powered fraud detection platform buil …

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
    Alogent
    1

Share of mentions

CompanyShare
  1. Verafin
    46.2%
  2. Abrigo (formerly Banker's Toolbox)
    33.3%
  3. Advanced Fraud Solutions
    17.9%
  4. Alogent
    2.6%
  5. Guardian Analytics
    0.0%
  6. Q2 Fraud Management
    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
    advancedfraudsolutions.com (its own website)
    17
  2. 02
    abrigo.com
    16
  3. 03
    fluxforce.ai
    15
  4. 04
    fraudio.com
    12
  5. 05
    validadvantage.com
    10
  6. 06
    brex.com
    9
  7. 07
    sourceforge.net
    9
  8. 08
    supervizor.com
    8
  9. 09
    miteksystems.com
    6
  10. 10
    verafin.com
    6

Advanced Fraud Solutions 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
3/15
Perplexity
1/15
OpenAI
0/15
Market comparisonSection 06

How Advanced Fraud Solutions 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
13

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

Citations
4

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

Sentiment
93

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
29

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
39
Ranks 94 of 574. Typical company: 29
Named in answers
11.7%
Ranks 100 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 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
39
Ranks 33 of 171. Typical company: 30
Named in answers
11.7%
Ranks 21 of 171. Typical company: 1.7%
AI readiness
29
Ranks 88 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. Advanced Fraud Solutions 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.txtNot present
  • 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
0 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 31.0%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · advancedfraudsolutions.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

4 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%
  • 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%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • 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 39 of 100 badge for Advanced Fraud Solutions

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/advancedfraudsolutions.com"><img src="https://aeo-audit.rezolve.com/finance/badges/advancedfraudsolutions.com.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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