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

Tearsheet

tearsheet.co

Research, news and mediaAdvisers and services

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
860 of 2,219
its rank by overall score
Place in its category
38th of 73 research and media companies
Closing balance

Named in

5of 60 answers

by 4 of 4 assistants

Statement note

What this means for Tearsheet

AI assistants name this research or media company in 8.3% of answers, which is more often than the typical company in its sector. Its overall score is 30 out of 100, ranking 860th of 2,219 companies in the study. The website passes 4 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Tearsheet by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 53rd of 346 in its sector. The typical advisory or services firm is named in 0.0% of answers.

Overall score
30Overall score
  • Visibility11
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
16.1%
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
117 of 346
by overall score, where the typical advisory or services firm scores 27

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Line itemsSection 01

Every question, and where the company came up

Tearsheet came up on 4 of 15 questions. Open any window to read that answer.

  1. 01How can digital finance media platforms help with understanding regulatory changes in fintech?0/4
  2. 02How much do premium fintech news platforms usually cost per month?0/4
  3. 03Do digital finance news subscriptions provide significant value for industry stakeholders?0/4
  4. 04Why am I not receiving newsletters from my digital finance news subscription?0/4
  5. 05Is subscribing to a premium fintech insights newsletter worth it for financial professionals?1/4
  6. 06How does coverage differ between traditional finance media and digital fintech publications?1/4
  7. 07What are some alternatives to online fintech media for accessing digital finance insights?0/4
  8. 08How do I resolve login issues with online fintech media platforms?0/4
  9. 09Are there more affordable ways to keep up with fintech news besides paid digital media platforms?0/4
  10. 10Where can I find the latest analysis on artificial intelligence trends in financial technology?0/4
  11. 11What’s the best way to use fintech news platforms for market research on digital payments?1/4
  12. 12Are there any digital finance media options with free trial periods?0/4
  13. 13Are fintech-focused media outlets better for learning about new digital banking innovations compared to broader business news sites?2/4
  14. 14What are the top digital finance news sources for staying updated on fintech trends?0/4
  15. 15Best platforms for in-depth analysis on the intersection of finance and technology0/4
Total namedOpenAI: 2/15Claude: 1/15Perplexity: 1/15Gemini: 1/15All assistants: 5/60
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

An answer that names the company

Gemininamed the company

“How does coverage differ between traditional finance media and digital fintech publications?”

… Digital Fintech Publications (e.g., Tearsheet, Fintech Futures, Payments Dive, American Banker, Finextra) target a more niche, tech-savvy audience, including fintech practitioners, compliance officers, technical architects, treasury executives, and younger consumers comfortable with digital tools. Their content is geared towards those seeking innovative financial solutions and often covers specific advancements and operational realities within financial technology.

2. Content and Topics:

Traditional Finance Media often features company case studies, discussions on embedd …

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
    Finextra
    11
  2. 02
    American Banker
    3
  3. 03
    The Financial Brand
    3
  4. 04
    Banking Dive
    2

Share of mentions

CompanyShare
  1. Finextra
    41.9%
  2. Tearsheet
    16.1%
  3. PYMNTS.com
    12.9%
  4. American Banker
    12.9%
  5. The Financial Brand
    9.7%
  6. Banking Dive
    6.5%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    techbullion.com
    12
  2. 02
    readless.app
    9
  3. 03
    mintposition.co
    7
  4. 04
    dev.to
    5
  5. 05
    thecfoclub.com
    4
  6. 06
    ecommerceparadise.com
    4
  7. 07
    slicedbrand.com
    3
  8. 08
    wallstreetzen.com
    3
  9. 09
    linkedin.com
    3
  10. 10
    help.ft.com
    3

Tearsheet is in the study as a research or media company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Tearsheet 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
11

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
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 advisory and services firms

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

Overall score
30
Ranks 117 of 346. Typical company: 27
Named in answers
8.3%
Ranks 53 of 346. Typical company: 0.0%
AI readiness
29
Ranks 96 of 346. Typical company: 29
Against its categorySection 08

Compared with research and media companies

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

Overall score
30
Ranks 38 of 73. Typical company: 31
Named in answers
8.3%
Ranks 26 of 73. Typical company: 3.3%
AI readiness
29
Ranks 21 of 73. 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. Tearsheet 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 · tearsheet.co · 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%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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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ShareSection 12

Share this result

Overall score 30 of 100 badge for Tearsheet

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/tearsheet.co"><img src="https://aeo-audit.rezolve.com/finance/badges/tearsheet.co.svg" alt="Overall score 30 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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