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.
637 of 2,219
its rank by overall score
Closing balance

Named in

4of 60 answers

by 3 of 4 assistants

Statement note

What this means for Movantis

AI assistants name this fintech infrastructure company in 6.7% of answers, which is higher than the typical company in its sector at 1.7%. It has an overall score of 35 out of 100, ranking 637th of 2,219 companies. Its website passes 4 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Movantis by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 155th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
35Overall score
  • Visibility10
  • Citations3
  • Sentiment83
  • Site quality73
  • AI readiness29
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
19.0%
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
199 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

Movantis came up on 2 of 15 questions. Open any window to read that answer.

  1. 01What options exist besides unified infrastructure solutions for multi-currency payment routing?0/4
  2. 02Alternatives to consolidated platforms for managing international remittances and settlements?0/4
  3. 03Typical costs for using cross-border financial infrastructure platforms in the US?0/4
  4. 04What features should enterprises look for in global settlement and issuing platforms?0/4
  5. 05What are the best unified financial infrastructure platforms for global value movement?3/4
  6. 06How does a unified financial platform compare to traditional money transfer solutions?0/4
  7. 07Is it worth investing in a consolidated financial platform for global payments?0/4
  8. 08Cross-border payment platforms vs local remittance providers: Which is better for banks?0/4
  9. 09Benefits of consolidated payment routing for money transfer operators in the Americas?0/4
  10. 10How do fintechs use unified infrastructure platforms for seamless remittance and FX?0/4
  11. 11Are integrated payment and FX solutions a good fit for enterprise-level international transactions?0/4
  12. 12How do transaction fees and compliance costs vary for global payments solutions?0/4
  13. 13Common challenges when integrating comprehensive value movement infrastructure for financial institutions?0/4
  14. 14Who offers consolidated solutions for cross-border payments and settlement in the US market?1/4
  15. 15Why might global payment settlements fail when using a unified financial platform?0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 2/15Gemini: 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the best unified financial infrastructure platforms for global value movement?”

The strongest options depend on whether “global value movement” means fiat payments, embedded finance, stablecoins, or institutional digital assets. For a unified API layer, Movantis appears the closest match; for established global payment networks, consider Thunes, Wise Platform, Airwallex, Rapyd, and Nium; for stablecoin-native infrastructure, evaluate Circle and Ripple.

Platform · Best for · Why it stands out

Movantis · Unified cross-border infrastructure, especially Latin America · Combines payments, remittances, FX, issuing, wallets, compliance AP …

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
    Currencycloud
    3
  2. 02
    Nium
    2
  3. 03
    Thunes
    2
  4. 04
    Ripple
    1

Share of mentions

CompanyShare
  1. Movantis
    19.0%
  2. Currencycloud
    19.0%
  3. Ripple
    19.0%
  4. Thunes
    19.0%
  5. Nium
    14.3%
  6. Stellar (via Stellar Network for Businesses)
    9.5%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    airwallex.com
    16
  2. 02
    stripe.com
    9
  3. 03
    bis.org
    8
  4. 04
    thunes.com
    7
  5. 05
    movantis.com (its own website)
    7
  6. 06
    chargeflow.io
    6
  7. 07
    nuvei.com
    5
  8. 08
    aciworldwide.com
    5
  9. 09
    highradius.com
    4
  10. 10
    xflowpay.com
    4

Movantis is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Movantis 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
10

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
83

How positively AI describes the company

Site quality
73

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 financial technology and data companies

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

Overall score
35
Ranks 199 of 574. Typical company: 29
Named in answers
6.7%
Ranks 155 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
35
Ranks 86 of 315. Typical company: 28
Named in answers
6.7%
Ranks 66 of 315. Typical company: 1.7%
AI readiness
29
Ranks 117 of 315. 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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. Movantis 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 CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
36 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    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
0 of 100
  • Markdown negotiationNot met

    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
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 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 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 manifestNot met

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

    study: 0.2%

Score 21 of 100 · 72% of checks could run · checked on October 9, 2026 · www.movantis.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%
  • PassedHTTP 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%
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ShareSection 11

Share this result

Overall score 35 of 100 badge for Movantis

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/movantis.com"><img src="https://aeo-audit.rezolve.com/finance/badges/movantis.com.svg" alt="Overall score 35 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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