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 and 10, 2026
when the AI assistants were asked
Account no.
823 of 2,219
its rank by overall score
Closing balance

Named in

3of 60 answers

by 3 of 4 assistants

Statement note

What this means for Felix Pago

AI assistants name Felix Pago in 5% of answers, compared with 0% for the typical company in its sector. Its overall score is 31 out of 100, ranking 823rd of 2,219 companies. The website passes 6 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Felix Pago by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 106th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
31Overall score
  • Visibility4
  • Citations10
  • Sentiment50
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
3.3%
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
117 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

Felix Pago came up on 3 of 15 questions. Open any window to read that answer.

  1. 01What should I do if my money transfer to Latin America through WhatsApp fails?0/4
  2. 02Why might a recipient in Latin America not receive a WhatsApp transfer instantly?0/4
  3. 03What are the best ways to send money to family in Latin America using WhatsApp?0/4
  4. 04Can I schedule recurring money transfers to Central or South America through messaging apps?0/4
  5. 05What are alternatives to using WhatsApp for sending remittances to Latin America from the U.S.?0/4
  6. 06How safe is it to send money to Latin America through messaging apps?0/4
  7. 07Are there any extra fees for weekend or late-night money transfers to Latin America using instant messaging?0/4
  8. 08How can I transfer money quickly from the U.S. to Latin America without downloading an app?0/4
  9. 09What payment methods can I use to send remittances to Latin America over WhatsApp?1/4
  10. 10Physical cash pickup versus bank deposit: which is better for money transfers to Latin America?0/4
  11. 11WhatsApp money transfer services vs. traditional bank wire transfers for sending funds to Latin America—what are the pros and cons?1/4
  12. 12Which non-app options exist for sending money to Latin America securely from the United States?0/4
  13. 13How much do WhatsApp-based money transfer services typically charge for sending $100 to Mexico?1/4
  14. 14What U.S.-to-Latin America remittance services offer 24/7 customer support via WhatsApp or other messaging platforms?0/4
  15. 15Is it worth using a WhatsApp-based remittance service for frequent transfers to Latin America?0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 1/15Gemini: 0/15All 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 Claude actually said

An answer that names the company

Claudenamed the company

“How much do WhatsApp-based money transfer services typically charge for sending $100 to Mexico?”

Based on the search results, here's what WhatsApp-based money transfer services typically charge for sending $100 to Mexico:

Service-Specific Fees:

MAJORITY charges $1.99 per transfer on WhatsApp without a membership, though with a MAJORITY membership, you send with a $0 MAJORITY transfer fee.

Felix Pago charges $2.99 USD for transfers to bank accounts in Mexico.

Nu Mexico charges $2.99 for each payment after the first transfer, regardless of its size.

Remitly shows a $1.99 USD fee for transfers to Mexico (though they offer promotional fee-free rates on first transfers).

Summary: …

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
    Remitly
    29
  2. 02
    Western Union
    22
  3. 03
    MoneyGram
    14
  4. 04
    WorldRemit
    9

Share of mentions

CompanyShare
  1. Remitly
    37.8%
  2. Western Union
    27.8%
  3. MoneyGram
    17.8%
  4. WorldRemit
    13.3%
  5. Felix Pago
    3.3%
  6. Viamericas
    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
    comun.app
    48
  2. 02
    felixpago.com (its own website)
    39
  3. 03
    remitly.com
    25
  4. 04
    riamoneytransfer.com
    15
  5. 05
    westernunion.com
    13
  6. 06
    majority.com
    8
  7. 07
    faq.whatsapp.com
    7
  8. 08
    moneygram.com
    7
  9. 09
    remitfinder.com
    4
  10. 10
    mastercard.com
    4

Felix Pago is in the study as a cross-border payments provider.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Felix Pago 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
4

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

Citations
10

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 cards and payments companies

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

Overall score
31
Ranks 117 of 375. Typical company: 27
Named in answers
5.0%
Ranks 106 of 375. Typical company: 0.0%
AI readiness
43
Ranks 15 of 375. Typical company: 29
Against its categorySection 08

Compared with cross-border payments providers

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

Overall score
31
Ranks 22 of 84. Typical company: 27
Named in answers
5.0%
Ranks 20 of 84. Typical company: 0.0%
AI readiness
43
Ranks 1 of 84. 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
Can an AI agent check out here?

Not by itself. Felix Pago 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
100 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

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

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

  • PassedMarkdown 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

  • 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

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Overall score 31 of 100 badge for Felix Pago

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