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
September 23, 2026
when the AI assistants were asked
Account no.
172 of 2,219
its rank by overall score
Closing balance

Named in

14of 60 answers

by 4 of 4 assistants

Statement note

What this means for American Express

AI assistants name this card network or issuer in 23.3% of answers. This is far above the typical company in its sector, which is named in 0% of answers. Its overall score is 41 out of 100, ranking 172nd 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 American Express by name. AI assistants named it in 14 of the 60 answers. Counting only how often it is named, it ranks 30th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
41Overall score
  • Visibility23
  • Citations3
  • Sentiment80
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
23.3%
14 of 60 answers
Share of mentions
24.1%
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
31 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

American Express came up on 6 of 15 questions. Open any window to read that answer.

  1. 01What are some options for individuals who don’t qualify for standard credit cards?0/4
  2. 02How do annual fees for premium US credit cards compare to no-fee cards?2/4
  3. 03How can I use rewards cards to save on business travel expenses?1/4
  4. 04What’s the difference between a charge card and a traditional credit card?2/4
  5. 05What should I do if my card payment is declined at checkout?0/4
  6. 06What are the top benefits of rewards cards for frequent shoppers?0/4
  7. 07Why would my credit card application be denied even with a good credit score?0/4
  8. 08Which cards offer the most flexible reward redemption options?4/4
  9. 09Business credit cards vs personal credit cards: which is better for entrepreneurs?0/4
  10. 10What are the best credit cards for earning travel rewards in the US?4/4
  11. 11What credit card features help build business credit history?0/4
  12. 12What are common foreign transaction fees on US credit cards?1/4
  13. 13What alternatives exist to traditional credit cards for daily purchases?0/4
  14. 14Is it worth getting a premium rewards credit card for everyday spending?0/4
  15. 15Are cash back cards a better value than points-based cards for most people?0/4
Total namedOpenAI: 2/15Claude: 3/15Perplexity: 4/15Gemini: 5/15All assistants: 14/60
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

“Which cards offer the most flexible reward redemption options?”

The most flexible reward redemption options are typically offered by cash back cards and by transferable points programs like Chase Ultimate Rewards, American Express Membership Rewards, and Capital One Miles.

If you want specific cards, the strongest examples in the results are:

Chase Sapphire Preferred® Card — cited as a top flexible rewards card with access to multiple redemption options and travel partner transfers.

Chase Sapphire Reserve® — noted for some of the best reward redemptions and strong travel protections.

Capital …

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
    Capital One
    20
  2. 02
    Bank of America
    12
  3. 03
    Discover
    3

Share of mentions

CompanyShare
  1. Chase (JPMorgan Chase)
    25.9%
  2. American Express
    24.1%
  3. Capital One
    22.4%
  4. Citi (Citigroup)
    12.1%
  5. Bank of America
    10.3%
  6. Discover
    5.2%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    cnbc.com
    28
  2. 02
    forbes.com
    28
  3. 03
    nerdwallet.com
    25
  4. 04
    thepointsguy.com
    25
  5. 05
    bankrate.com
    23
  6. 06
    experian.com
    22
  7. 07
    capitalone.com
    20
  8. 08
    chase.com
    17
  9. 09
    finance.yahoo.com
    17
  10. 10
    americanexpress.com (its own website)
    16

American Express is in the study as a card network or issuer.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
5/15
Perplexity
4/15
Claude
3/15
OpenAI
2/15
Market comparisonSection 06

How American Express 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
23

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
80

How positively AI describes the company

Site quality
87

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 cards and payments companies

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

Overall score
41
Ranks 31 of 375. Typical company: 27
Named in answers
23.3%
Ranks 30 of 375. Typical company: 0.0%
AI readiness
29
Ranks 106 of 375. Typical company: 29
Against its categorySection 08

Compared with card networks and issuers

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

Overall score
41
Ranks 1 of 14. Typical company: 30
Named in answers
23.3%
Ranks 1 of 14. Typical company: 7.5%
AI readiness
29
Ranks 1 of 14. Typical company: 21
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. American Express 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
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 36 of 100 · 97% of checks could run · checked on October 5, 2026 · www.americanexpress.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%
  • Not metHTTP 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

  • 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 41 of 100 badge for American Express

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