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.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Fig Tech

figtech.com

Small business banking and lendingBanking

Money20/20 attendee

Statement period
October 9 and 10, 2026
when the AI assistants were asked
Account no.
1,915 of 2,219
its rank by overall score
Place in its category
36th of 38 small business banking providers
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Fig Tech

AI assistants do not name this small business banking provider in any of the 60 answers read, while Chime, GO2bank, and Oportun are named. Its overall score is 24 out of 100, ranking 1,915th of 2,219 overall and 323rd of 394 in its sector; the typical company in its sector scores 28. Its website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Fig Tech by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 188th of 394 in its sector. The typical banking company is named in 0.0% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
24Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness29
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
323 of 394
by overall score, where the typical banking company scores 28

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Line itemsSection 01

Every question, and where the company came up

Fig Tech came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Best online banking tools for people who don’t meet standard banking requirements in the US0/4
  2. 02Do fintech services for low-income users actually help improve financial health?0/4
  3. 03How do digital banking apps for the unbanked differ from local credit unions in the US?0/4
  4. 04Alternatives to traditional lending for individuals with inconsistent income0/4
  5. 05Is it worth signing up for a financial platform focused on underserved communities?0/4
  6. 06How can a financial technology service help families avoid payday loans?0/4
  7. 07Ways to use alternative banking tools to manage household expenses on a tight budget0/4
  8. 08Are financial inclusion platforms more affordable than traditional banks for account maintenance?0/4
  9. 09What fees are typically charged by US fintech solutions designed for low-income households?0/4
  10. 10Financial inclusion platforms vs prepaid debit cards: which offers better access for underserved individuals?0/4
  11. 11What are some alternatives to mainstream banks for people with poor or no credit history?0/4
  12. 12How can families with low income find affordable ways to build credit online?0/4
  13. 13How do you resolve issues when a mobile banking app for the unbanked won’t verify your identity?0/4
  14. 14Why might an application for a financial inclusion platform be rejected?0/4
  15. 15What are the best financial technology solutions for people without access to traditional banks?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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 Gemini actually said

The company is not named in this answer

Geminidid not name the company

“Best online banking tools for people who don’t meet standard banking requirements in the US”

For individuals in the US who face challenges meeting standard banking requirements, several online banking tools and alternatives offer accessible financial services. These options often cater to those with bad credit, a history of banking issues (like ChexSystems records), or those who prefer not to use traditional banks.

Online Banks and Fintech Companies

Many financial technology (fintech) companies and online banks are designed to be more inclusive, often skipping hard credit checks and consumer banking reports from ChexSystems or Early Warning Services (EWS). They frequently offer …

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.

Named instead

CompanyTimes named
  1. 01
    Chime
    14
  2. 02
    GO2bank
    3
  3. 03
    Oportun
    1

Share of mentions

CompanyShare
  1. Chime
    50.0%
  2. Varo Bank
    31.8%
  3. GO2bank
    13.6%
  4. Oportun
    4.5%
  5. Fig Tech
    0.0%
  6. LendUp
    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
    bankrate.com
    12
  2. 02
    experian.com
    9
  3. 03
    phoenix.edu
    7
  4. 04
    sofi.com
    6
  5. 05
    chime.com
    5
  6. 06
    cnbc.com
    5
  7. 07
    fdic.gov
    5
  8. 08
    apps.apple.com
    5
  9. 09
    firstcard.app
    4
  10. 10
    kansascityfed.org
    4

Fig Tech is in the study as a small business banking provider.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Fig Tech 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
0

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

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
67

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 banking companies

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

Overall score
24
Ranks 323 of 394. Typical company: 28
Named in answers
0.0%
Ranks 188 of 394. Typical company: 0.0%
AI readiness
29
Ranks 82 of 394. Typical company: 29
Against its categorySection 08

Compared with small business banking providers

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

Overall score
24
Ranks 35 of 38. Typical company: 29
Named in answers
0.0%
Ranks 24 of 38. Typical company: 1.7%
AI readiness
29
Ranks 17 of 38. 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. Fig Tech 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
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
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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 32 of 100 · 97% of checks could run · checked on October 9, 2026 · www.figtech.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%
  • 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

  • PassedExplicit 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 rules for 13 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*partly
  • ClaudeBot*partly
  • Anthropic-AI*partly
  • Google-Extended*partly
  • Applebot-Extended*partly
  • Meta-ExternalAgent*partly
  • FacebookBot*partly
  • Bytespider*partly
  • CCBot*partly
  • Diffbotpartly
  • Omgilibot*partly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbot*partly
  • YouBot*partly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBot*partly
  • 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.

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End of statement
All 2,219 companiesHow we measured this
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