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.
475 of 2,219
its rank by overall score
Place in its category
31st of 203 payment processors
Closing balance

Named in

7of 60 answers

by 4 of 4 assistants

Statement note

What this means for Gr4vy

AI assistants name Gr4vy in 11.7% of answers, more often than the typical company in its sector. Gr4vy's overall score is 37 out of 100, ranking 475th of 2,219 companies. Its website passes 5 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Gr4vy by name. AI assistants named it in 7 of the 60 answers. Counting only how often it is named, it ranks 63rd of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
37Overall score
  • Visibility17
  • Citations3
  • Sentiment80
  • Site quality73
  • AI readiness36
Summary of account
Named by AI in
11.7%
7 of 60 answers
Share of mentions
31.8%
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
68 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

Gr4vy came up on 3 of 15 questions. Open any window to read that answer.

  1. 01How can businesses diagnose and resolve transaction failures in a payment orchestration environment?0/4
  2. 02What are common challenges encountered when integrating with multiple payment service providers?0/4
  3. 03Are there volume-based discounts available for enterprise payment orchestration solutions?0/4
  4. 04What are the best payment orchestration platforms for enterprise businesses?4/4
  5. 05What are some alternatives to payment orchestration platforms for managing multiple payment processors?2/4
  6. 06How do payment orchestration platforms help reduce complexity for enterprises managing global payments?0/4
  7. 07Which payment orchestration features are most important for high-volume ecommerce businesses?1/4
  8. 08What should enterprises consider before choosing a payment orchestration vendor?0/4
  9. 09How can an independent sales organization benefit from using a payment orchestration solution?0/4
  10. 10How is pricing typically structured for payment orchestration platforms in the US?0/4
  11. 11How does a payment orchestration layer compare to a standard payment processor for large businesses?0/4
  12. 12How can an enterprise manage payment routing without a payment orchestration platform?0/4
  13. 13What is a real-world use case for payment orchestration in subscription-based services?0/4
  14. 14Payment orchestration platform vs direct payment gateway integration—what are the pros and cons?0/4
  15. 15Is it worth investing in a payment orchestration platform for a company with multiple payment service providers?0/4
Total namedOpenAI: 1/15Claude: 2/15Perplexity: 2/15Gemini: 2/15All 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the best payment orchestration platforms for enterprise businesses?”

The best enterprise payment orchestration platforms are Gr4vy, Primer, Spreedly, IXOPAY, Paydock, and Checkout.com. The right choice depends on whether the priority is routing control, global payment coverage, marketplace payments, workflow automation, or developer flexibility.

Platform · Best for · Key strengths

Gr4vy · Large merchants needing flexible orchestration · Cloud-native architecture, intelligent routing, tokenization, vaulting, and isolated environments for enterprise deployments

Primer · Payment and commerce teams · No-code payment workfl …

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
    Primer
    3

Share of mentions

CompanyShare
  1. Gr4vy
    31.8%
  2. Stripe Payment Orchestration
    27.3%
  3. Primer
    27.3%
  4. Apexx Global
    9.1%
  5. BR-DGE
    4.5%
  6. CellPoint Digital
    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
    17
  2. 02
    corefy.com
    15
  3. 03
    y.uno
    12
  4. 04
    stripe.com
    10
  5. 05
    primer.io
    8
  6. 06
    sitepoint.com
    8
  7. 07
    spreedly.com
    7
  8. 08
    ixopay.com
    7
  9. 09
    akurateco.com
    6
  10. 10
    gr4vy.com (its own website)
    6

Gr4vy is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Gr4vy 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
17

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
73

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
37
Ranks 68 of 375. Typical company: 27
Named in answers
11.7%
Ranks 63 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
37
Ranks 31 of 203. Typical company: 27
Named in answers
11.7%
Ranks 22 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 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. Gr4vy 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 9, 2026 · gr4vy.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

  • 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 37 of 100 badge for Gr4vy

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/gr4vy.com"><img src="https://aeo-audit.rezolve.com/finance/badges/gr4vy.com.svg" alt="Overall score 37 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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