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

Named in

10of 60 answers

by 4 of 4 assistants

Statement note

What this means for Rutter

AI assistants name this fintech infrastructure company in 16.7% of answers, much more often than the typical company in its sector at 1.7%. Its overall score is 39 out of 100, ranking 295th of 2,219, and 94th of 574 in its sector. The website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Rutter by name. AI assistants named it in 10 of the 60 answers. Counting only how often it is named, it ranks 63rd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
39Overall score
  • Visibility20
  • Citations4
  • Sentiment79
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
16.7%
10 of 60 answers
Share of mentions
28.6%
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
94 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

Rutter came up on 5 of 15 questions. Open any window to read that answer.

  1. 01Is investing in a unified API platform for fintech worth it for small financial institutions?0/4
  2. 02Which unified API solutions work well for SMB-focused financial product development?3/4
  3. 03How do unified APIs compare to custom-built connectors for accounting and payment platforms?0/4
  4. 04Examples of using a single API to automate supplier onboarding for small business clients0/4
  5. 05Unified API vs. direct integration: which approach is better for B2B fintech companies?0/4
  6. 06How do you resolve data mapping issues with unified APIs when integrating commerce platforms?0/4
  7. 07What are the best unified API platforms for building B2B fintech integrations in the US?2/4
  8. 08How can unified APIs help speed up the launch of new B2B banking or lending products?0/4
  9. 09What are some alternatives to unified APIs for integrating with multiple accounting and ERP systems?0/4
  10. 10How much do unified API solutions for fintech integrations typically cost in the US market?1/4
  11. 11Low-code and no-code alternatives to unified APIs for B2B fintech integrations2/4
  12. 12Why aren't transactions syncing correctly between unified APIs and my accounting software?0/4
  13. 13Are there affordable unified API options for startups building financial software?2/4
  14. 14What should I consider before choosing a unified API provider for commercial card and supplier enablement use-cases?0/4
  15. 15Best open-source tools for building multi-platform fintech integrations without unified APIs0/4
Total namedOpenAI: 2/15Claude: 1/15Perplexity: 4/15Gemini: 3/15All assistants: 10/60
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 API platforms for building B2B fintech integrations in the US?”

The strongest options for US B2B fintech integrations are Codat, Rutter, Merge, Plaid, and Finicity/Mastercard Open Banking—but the best choice depends on whether you need business-financial data, commerce data, SaaS integrations, or bank-account connectivity.

Platform · Best for · Key strengths · Main caveat

Codat · SMB lending, underwriting, accounting-data products · Strong coverage of accounting, banking, commerce, and business-finance systems; designed for lenders and fintechs extracting structured SMB data · More focused on business-financial da …

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
    Codat
    9
  2. 02
    Merge
    6
  3. 03
    Finch
    2

Share of mentions

CompanyShare
  1. Codat
    34.3%
  2. Rutter
    28.6%
  3. Merge
    25.7%
  4. Finch
    11.4%
  5. Railz
    0.0%
  6. Atomic FI
    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
    apideck.com
    42
  2. 02
    unified.to
    13
  3. 03
    truto.one
    12
  4. 04
    rutter.com (its own website)
    10
  5. 05
    g2.com
    10
  6. 06
    satvasolutions.com
    9
  7. 07
    plaid.com
    6
  8. 08
    api2cart.com
    6
  9. 09
    sourceforge.net
    5
  10. 10
    github.com
    5

Rutter 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
4/15
Gemini
3/15
OpenAI
2/15
Claude
1/15
Market comparisonSection 06

How Rutter 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
20

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

Citations
4

How often AI uses the company's own website as a source

Sentiment
79

How positively AI describes the company

Site quality
80

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
39
Ranks 94 of 574. Typical company: 29
Named in answers
16.7%
Ranks 63 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
39
Ranks 37 of 315. Typical company: 28
Named in answers
16.7%
Ranks 24 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. Rutter 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.txtNot present
  • WebMCPCould not check

The website runs on WooCommerce.

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

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Overall score 39 of 100 badge for Rutter

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/rutter.com"><img src="https://aeo-audit.rezolve.com/finance/badges/rutter.com.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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