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

Named in

6of 60 answers

by 3 of 4 assistants

Statement note

What this means for Lean Industries

AI assistants name this fraud and identity company in 10% of answers, more often than the typical company in its sector at 1.7%. Its overall score is 31 out of 100, placing it 807th of 2,219 companies and 237th of 574 in its sector. Its website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Lean Industries by name. AI assistants named it in 6 of the 60 answers. Counting only how often it is named, it ranks 118th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
31Overall score
  • Visibility12
  • Citations1
  • Sentiment100
  • Site quality40
  • AI readiness21
Summary of account
Named by AI in
10.0%
6 of 60 answers
Share of mentions
18.2%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
237 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

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

  1. 01How can financial institutions reduce errors in their dispute resolution workflows?0/4
  2. 02Best digital self-service tools for streamlining payment disputes in financial institutions?2/4
  3. 03Why do payment dispute escalations often stall, and how can automation help?0/4
  4. 04Latest trends in automating the payment dispute lifecycle for financial institutions?0/4
  5. 05What are the most effective payment dispute management platforms for banks?1/4
  6. 06How do payment dispute management platforms help improve customer experience in banks?0/4
  7. 07Is investing in a payment dispute management platform worth it for a mid-sized financial institution?0/4
  8. 08What pricing models are typical for enterprise payment dispute management software?0/4
  9. 09Can in-house development compete with commercial dispute management solutions for banks?0/4
  10. 10Manual payment dispute processes vs automated dispute management systems—what are the pros and cons?0/4
  11. 11What are common use-cases for digital self-service in payment dispute resolution?0/4
  12. 12How do cloud-based vs on-premise payment dispute solutions differ for banks?0/4
  13. 13Are there lower-cost payment dispute automation options for smaller credit unions?3/4
  14. 14What are alternatives to workflow automation for managing high volumes of payment disputes?0/4
  15. 15What should banks look for when choosing a payment dispute lifecycle automation solution?0/4
Total namedOpenAI: 0/15Claude: 2/15Perplexity: 2/15Gemini: 2/15All assistants: 6/60
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

“Best digital self-service tools for streamlining payment disputes in financial institutions?”

For financial institutions, the strongest options are FINBOA, Lean Industries AdjustmentHub, Fiserv Dispute Expert, and Lorikeet. They stand out because they combine digital claim intake, workflow automation, deadline management, case tracking, and auditability—rather than offering only a customer-facing form.

Tool · Best fit · Relevant capabilities

FINBOA Payment Disputes · Banks and credit unions handling Reg E and payment disputes · Digital, multi-channel claim intake and automated dispute workflows

Lean Industries AdjustmentHub · Institutions nee …

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
    Quavo
    4
  2. 02
    Chargebacks911
    4

Share of mentions

CompanyShare
  1. Quavo
    27.3%
  2. Lean Industries
    18.2%
  3. Chargebacks911
    18.2%
  4. ACI Worldwide (Dispute Management)
    15.2%
  5. Fiserv (Payments Dispute Management)
    12.1%
  6. Verifi (a Visa Solution)
    9.1%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    finboa.com
    11
  2. 02
    pega.com
    8
  3. 03
    mckinsey.com
    8
  4. 04
    ey.com
    8
  5. 05
    fintechspecs.com
    8
  6. 06
    helpware.com
    8
  7. 07
    guideflow.com
    7
  8. 08
    quavo.com
    7
  9. 09
    highradius.com
    7
  10. 10
    rfp.wiki
    6

Lean Industries is in the study as a fraud and identity company.

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
0/15
Market comparisonSection 06

How Lean Industries 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
12

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

Citations
1

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

Sentiment
100

How positively AI describes the company

Site quality
40

How well built the website's own pages are

AI readiness
21

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
31
Ranks 237 of 574. Typical company: 29
Named in answers
10.0%
Ranks 118 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 of 574. Typical company: 29
Against its categorySection 08

Compared with fraud and identity companies

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

Overall score
31
Ranks 81 of 171. Typical company: 30
Named in answers
10.0%
Ranks 30 of 171. Typical company: 1.7%
AI readiness
21
Ranks 133 of 171. Typical company: 36
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. Lean Industries 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 Magento.

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 negotiationCould not check

    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 17 of 100 · 86% of checks could run · checked on October 9, 2026 · www.leanindustries.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

3 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%
  • Not metHTTP 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 31 of 100 badge for Lean Industries

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/leanindustries.com"><img src="https://aeo-audit.rezolve.com/finance/badges/leanindustries.com.svg" alt="Overall score 31 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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