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

Brigit

hellobrigit.com

Personal finance and money appsBanking

Money20/20 attendee

Statement period
October 9 to 13, 2026
when the AI assistants were asked
Account no.
300 of 2,219
its rank by overall score
Place in its category
6th of 30 personal finance apps
Closing balance

Named in

9of 60 answers

by 4 of 4 assistants

Statement note

What this means for Brigit

AI assistants name this personal finance app in 15% of answers, which is more often than the typical company in its sector. Its overall score is 39 out of 100, ranking 300th of 2,219 companies studied. The website passes 1 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Brigit by name. AI assistants named it in 9 of the 60 answers. Counting only how often it is named, it ranks 51st of 394 in its sector. The typical banking company is named in 0.0% of answers.

Overall score
39Overall score
  • Visibility20
  • Citations0
  • Sentiment83
  • Site quality93
  • AI readiness7
Summary of account
Named by AI in
15.0%
9 of 60 answers
Share of mentions
33.3%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 3
Rank in its sector
45 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

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

  1. 01Is using a credit-building cash advance app worth it for someone with no credit history?1/4
  2. 02What are non-app ways to prevent bank account overdrafts?0/4
  3. 03What’s the process for getting a cash advance through a personal finance app?0/4
  4. 04What are good alternatives to cash advance apps for accessing emergency funds?0/4
  5. 05How can I use a financial insights app to improve my monthly budgeting?0/4
  6. 06Which tools can help boost credit scores besides credit-building finance apps?0/4
  7. 07Why might a cash advance app decline my request for funds?0/4
  8. 08Which personal finance tools help prevent overdraft fees?1/4
  9. 09How do credit-builder apps differ from traditional secured credit cards?0/4
  10. 10Are personal finance apps that offer instant cash advances reliable?0/4
  11. 11How much do credit-builder and cash advance apps typically charge in monthly fees?2/4
  12. 12Cash advance apps vs payday loans: which is safer for short-term borrowing?0/4
  13. 13What should I do if a credit-building app doesn’t update my credit score?0/4
  14. 14What are the best cash advance apps for building credit in the US?4/4
  15. 15Are there affordable personal finance apps that don’t require tipping or late fees?1/4
Total namedOpenAI: 2/15Claude: 2/15Perplexity: 3/15Gemini: 2/15All assistants: 9/60
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 Claude actually said

An answer that names the company

Claudenamed the company

“What are the best cash advance apps for building credit in the US?”

I'll search for information about the best cash advance apps that can help build credit in the US.Based on current reviews and comparisons, here are some of the best cash advance apps for building credit in the US:

Top Options for Credit Building:

Brigit

Brigit pairs its cash advances with tools built to strengthen your finances over time, with advances reaching up to $250, and the subscription unlocking a Credit Builder program, overdraft protection, budgeting insights, and identity-theft coverage.

Tilt (Formerly Empower)

Tilt is best for users who want to combine advances (up t …

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
    Dave
    4
  2. 02
    MoneyLion
    4
  3. 03
    Earnin
    3
  4. 04
    Albert
    1

Share of mentions

CompanyShare
  1. Brigit
    33.3%
  2. Earnin
    25.9%
  3. MoneyLion
    18.5%
  4. Dave
    11.1%
  5. Albert
    7.4%
  6. Klover
    3.7%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    finder.com
    17
  2. 02
    apps.apple.com
    15
  3. 03
    moneylion.com
    15
  4. 04
    thecreditpeople.com
    13
  5. 05
    consumerfinance.gov
    12
  6. 06
    forbes.com
    11
  7. 07
    credible.com
    9
  8. 08
    experian.com
    8
  9. 09
    firstcard.app
    7
  10. 10
    cnbc.com
    7

Brigit is in the study as a personal finance app.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
3/15
Claude
2/15
Gemini
2/15
OpenAI
2/15
Market comparisonSection 06

How Brigit 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
0

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

Sentiment
83

How positively AI describes the company

Site quality
93

How well built the website's own pages are

AI readiness
7

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
39
Ranks 45 of 394. Typical company: 28
Named in answers
15.0%
Ranks 51 of 394. Typical company: 0.0%
AI readiness
7
Ranks 362 of 394. Typical company: 29
Against its categorySection 08

Compared with personal finance apps

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

Overall score
39
Ranks 5 of 30. Typical company: 29
Named in answers
15.0%
Ranks 11 of 30. Typical company: 4.2%
AI readiness
7
Ranks 29 of 30. 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. Brigit 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
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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · www.hellobrigit.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

1 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

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML 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 39 of 100 badge for Brigit

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/hellobrigit.com"><img src="https://aeo-audit.rezolve.com/finance/badges/hellobrigit.com.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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