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.
775 of 2,219
its rank by overall score
Place in its category
56th of 203 payment processors
Closing balance

Named in

4of 60 answers

by 3 of 4 assistants

Statement note

What this means for IXOPAY

AI assistants name the payment processor IXOPAY in 6.7% of answers, while the typical company in its sector is not named at all. It has an overall score of 32 out of 100, ranking 775th of 2,219. IXOPAY's website passes 5 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned IXOPAY 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
32Overall score
  • Visibility15
  • Citations3
  • Sentiment50
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
44.4%
of the mentions of it and its 5 peers
AI readiness
5/14
technical checks passed. Typical for its sector: 4
Rank in its sector
113 of 375
by overall score, where the typical cards and payments company scores 27

Get the full report on IXOPAY as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

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

  1. 01How to resolve failed payment routing in an enterprise payment orchestration environment?0/4
  2. 02How do advanced payments intelligence tools impact authorization rates for large merchants?0/4
  3. 03What factors influence the cost of implementing custom tokenization packages for payment infrastructure?0/4
  4. 04How does merchant-owned tokenization compare to third-party tokenization in terms of security and flexibility?0/4
  5. 05Alternatives to enterprise payment orchestration platforms for managing complex payment flows2/4
  6. 06Best practices for large merchants implementing AI-driven payments intelligence solutions0/4
  7. 07What are the key features to look for in an enterprise payment orchestration platform?0/4
  8. 08Typical pricing models for enterprise payment orchestration platforms in the US0/4
  9. 09Using AI-driven payments insights to reduce fraud and increase payment security for enterprise businesses0/4
  10. 10Solutions for large merchants needing advanced reconciliation and settlement beyond standard payment processors1/4
  11. 11Payment orchestration platform vs direct processor integration: what's better for enterprise payment management?0/4
  12. 12Options for businesses seeking merchant-owned tokenization without a full orchestration layer1/4
  13. 13How can payment orchestration help multinational merchants manage payments across multiple geographies?0/4
  14. 14Common issues when integrating new payment adapters into payment orchestration systems0/4
  15. 15Is investing in an enterprise-grade payment orchestration platform worth it for a business processing high volumes?0/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 1/15Gemini: 2/15All 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

“Alternatives to enterprise payment orchestration platforms for managing complex payment flows”

Alternatives depend on whether you want a managed platform, a routing layer over existing PSPs, or a self-hosted orchestration stack. Strong options include Spreedly, Gr4vy, Primer, IXOPAY, Payrails, Corefy, Yuno, ProcessOut, and Hyperswitch.

Alternative · Best fit · Relevant capabilities

Spreedly · Gateway independence and portable payment credentials · Payment vault, token lifecycle management, broad gateway connectivity, and provider abstraction

Gr4vy · Enterprises wanting configurable workflows and dedicated infrastructure · No-code ro …

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
    Gr4vy
    2

Share of mentions

CompanyShare
  1. IXOPAY
    44.4%
  2. Gr4vy
    44.4%
  3. CellPoint Digital
    11.1%
  4. Payoneer Enterprise
    0.0%
  5. Banked
    0.0%
  6. BR-DGE
    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
    solidgate.com
    15
  2. 02
    y.uno
    10
  3. 03
    mastercard.com
    10
  4. 04
    ixopay.com (its own website)
    8
  5. 05
    spreedly.com
    8
  6. 06
    corefy.com
    7
  7. 07
    akurateco.com
    7
  8. 08
    gr4vy.com
    6
  9. 09
    primer.io
    6
  10. 10
    stripe.com
    6

IXOPAY is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How IXOPAY 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
15

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
50

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
36

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
32
Ranks 113 of 375. Typical company: 27
Named in answers
6.7%
Ranks 90 of 375. Typical company: 0.0%
AI readiness
36
Ranks 41 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
32
Ranks 54 of 203. Typical company: 27
Named in answers
6.7%
Ranks 37 of 203. Typical company: 0.0%
AI readiness
36
Ranks 23 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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.

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

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPCould not check
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • 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
25 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPartly met

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

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

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

    study: 92.7%
  • Content SignalsPassed

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

    study: 2.3%
  • Web Bot AuthCould not check

    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 CatalogCould not check

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

    study: 1.3%
  • OAuth discoveryCould not check

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

    study: 6.3%
  • OAuth Protected ResourceCould not check

    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 CardCould not check

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

    study: 0.8%
  • A2A Agent CardCould not check

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

    study: 0.2%
  • Agent SkillsCould not check

    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 manifestCould not check

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 63 of 100 · 65% of checks could run · checked on October 9, 2026 · www.ixopay.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

5 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%
  • 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.

Take it with you

Get the full report on IXOPAY as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 12

Share this result

Overall score 32 of 100 badge for IXOPAY

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/ixopay.com"><img src="https://aeo-audit.rezolve.com/finance/badges/ixopay.com.svg" alt="Overall score 32 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo