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 to 14, 2026
when the AI assistants were asked
Account no.
692 of 2,219
its rank by overall score
Place in its category
49th of 203 payment processors
Closing balance

Named in

4of 60 answers

by 2 of 4 assistants

Statement note

What this means for Bluefin

AI assistants name this payment processor in 6.7% of answers, while the typical company in its sector is not named at all. Bluefin earns an overall score of 34 out of 100, ranking 692nd of 2,219 companies. Its website passes 2 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Bluefin by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 90th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
34Overall score
  • Visibility20
  • Citations6
  • Sentiment63
  • Site quality73
  • AI readiness14
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
80.0%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
97 of 375
by overall score, where the typical cards and payments company scores 27

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Line itemsSection 01

Every question, and where the company came up

Bluefin came up on 4 of 15 questions. Open any window to read that answer.

  1. 01How does PCI-validated P2PE compare to end-to-end encryption for securing payment information?1/4
  2. 02Is investing in PCI-validated point-to-point encryption worth it for mid-sized retailers?1/4
  3. 03Alternatives to PCI-validated point-to-point encryption for protecting payment data1/4
  4. 04How can organizations protect sensitive transactional data in the healthcare industry?0/4
  5. 05How can a business respond to a suspected payment data breach despite using encryption?0/4
  6. 06Which payment data security methods are most effective for organizations processing recurring payments?0/4
  7. 07Are there affordable options for PCI compliance and encryption services for startups?0/4
  8. 08Best practices for integrating sensitive data security into e-commerce checkout flows0/4
  9. 09What are common reasons tokenization might fail to properly secure customer data?0/4
  10. 10What are some non-encryption approaches to securing sensitive customer information during transactions?0/4
  11. 11Point-to-point encryption vs tokenization for payment data security—what's the difference?0/4
  12. 12What is the average monthly cost for payment data security infrastructure for a small business?0/4
  13. 13How can orchestration platforms improve security for organizations handling high volumes of payment transactions?0/4
  14. 14Do most payment security infrastructure providers offer easy integration with existing payment systems?0/4
  15. 15What are the best payment data security solutions for small businesses in the US?1/4
Total namedOpenAI: 3/15Claude: 0/15Perplexity: 0/15Gemini: 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 Gemini actually said

An answer that names the company

Gemininamed the company

“Alternatives to PCI-validated point-to-point encryption for protecting payment data”

… End-to-End Encryption (E2EE) is a broad term that describes the encryption of data from the point of capture until it reaches its final secure destination. While P2PE is a specific type of E2EE that is validated by the PCI Security Standards Council (PCI SSC), "unlisted P2PE" or general E2EE solutions are not bluefin.com.

How it works: E2EE encrypts sensitive payment data at the point of interaction (e.g., a POS terminal) and keeps it encrypted until it reaches a secure decryption environment, typically outside the merchant's net …

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.

Share of mentions

CompanyShare
  1. Bluefin
    80.0%
  2. Thales (CipherTrust Data Security Platform)
    20.0%
  3. Trustwave
    0.0%
  4. Armor
    0.0%
  5. VGS (Very Good Security)
    0.0%
  6. OpenText (formerly Carbonite + Webroot)
    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
    bluefin.com (its own website)
    15
  2. 02
    stripe.com
    12
  3. 03
    pcisecuritystandards.org
    11
  4. 04
    uschamber.com
    6
  5. 05
    spreedly.com
    6
  6. 06
    listings.pcisecuritystandards.org
    6
  7. 07
    aciworldwide.com
    5
  8. 08
    securitymetrics.com
    5
  9. 09
    pcicompliance.com
    5
  10. 10
    hhs.gov
    5

Bluefin is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
3/15
Gemini
1/15
Claude
0/15
Perplexity
0/15
Market comparisonSection 06

How Bluefin 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
20

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

Citations
6

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

Sentiment
63

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
14

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 cards and payments companies

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

Overall score
34
Ranks 97 of 375. Typical company: 27
Named in answers
6.7%
Ranks 90 of 375. Typical company: 0.0%
AI readiness
14
Ranks 300 of 375. Typical company: 29
Against its categorySection 08

Compared with payment processors

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

Overall score
34
Ranks 48 of 203. Typical company: 27
Named in answers
6.7%
Ranks 37 of 203. Typical company: 0.0%
AI readiness
14
Ranks 148 of 203. 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. Bluefin 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
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
0 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.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
18 of 100
  • API CatalogNot met

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

    study: 1.3%
  • OAuth discoveryPartly met

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

    study: 6.3%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    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 37 of 100 · 81% of checks could run · checked on October 9, 2026 · bluefin.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

2 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%
  • 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%
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

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

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

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Overall score 34 of 100 badge for Bluefin

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/bluefin.com"><img src="https://aeo-audit.rezolve.com/finance/badges/bluefin.com.svg" alt="Overall score 34 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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