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

Increase

increase.com

Payment processors, acquirers and point of saleCards and payments

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
644 of 2,219
its rank by overall score
Place in its category
45th of 203 payment processors
Closing balance

Named in

3of 60 answers

by 3 of 4 assistants

Statement note

What this means for Increase

AI assistants name this payment processor in 5% of answers, while the typical company in its sector is not named at all. Its overall score is 35 out of 100, ranking 644th of 2,219 companies. Its website passes 7 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Increase by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 106th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
35Overall score
  • Visibility6
  • Citations0
  • Sentiment83
  • Site quality73
  • AI readiness50
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
9.4%
of the mentions of it and its 5 peers
AI readiness
7/14
technical checks passed. Typical for its sector: 4
Rank in its sector
88 of 375
by overall score, where the typical cards and payments company scores 27

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Line itemsSection 01

Every question, and where the company came up

Increase came up on 1 of 15 questions. Open any window to read that answer.

  1. 01Which non-banking infrastructure options exist for moving money at scale for US fintechs?0/4
  2. 02What are common ways fintech developers use programmable bank accounts in their products?0/4
  3. 03What are the main alternatives to embedded banking APIs for launching digital financial products?0/4
  4. 04How are card issuing and money movement fees typically charged for API-based banking platforms?0/4
  5. 05Real-time payments vs ACH: Which is better for a fintech product?0/4
  6. 06Who are the leading providers of modular compliance for fintech product builders in the US?0/4
  7. 07Is it worth using a banking-as-a-service platform for launching a new financial app?0/4
  8. 08What should I do if transactions are failing on my embedded payments rail?0/4
  9. 09Why might a US-based developer encounter delays in processing real-time payments?0/4
  10. 10Which embedded banking solutions offer full stack card issuing for startups?0/4
  11. 11How does an API-first banking platform differ from traditional banking integration for developers?0/4
  12. 12What are the best API-first banking platforms for US fintech companies?3/4
  13. 13How can a technology company set up flexibly-titled accounts for customers using banking APIs?0/4
  14. 14Are modular compliance features necessary when choosing embedded banking infrastructure?0/4
  15. 15What is the typical cost structure for embedded banking infrastructure in the US?0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 1/15Gemini: 1/15All assistants: 3/60
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 API-first banking platforms for US fintech companies?”

For US fintech companies building embedded banking products, the strongest shortlist is Treasury Prime, Unit, Synctera, Increase, Stripe Treasury, and Lithic. The best choice depends on whether you need full deposit-account infrastructure, payments, cards, or primarily developer-friendly banking APIs.

Platform · Best for · Key strengths · Main trade-off

Treasury Prime · Startups needing bank accounts and core banking APIs · API-first account creation, payments, compliance tooling, and access to a US bank-partner network; frequently recommended for US fintec …

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
    Unit
    8
  2. 02
    Synctera
    7
  3. 03
    Treasury Prime
    5
  4. 04
    Column
    3
  5. 05
    Bond
    2

Share of mentions

CompanyShare
  1. Synctera
    28.1%
  2. Unit
    21.9%
  3. Treasury Prime
    18.8%
  4. Column
    15.6%
  5. Increase
    9.4%
  6. Bond
    6.3%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    stripe.com
    12
  2. 02
    connectpay.com
    9
  3. 03
    sdk.finance
    7
  4. 04
    linkedin.com
    7
  5. 05
    dashdevs.com
    7
  6. 06
    airwallex.com
    6
  7. 07
    apideck.com
    5
  8. 08
    fintechspecs.com
    5
  9. 09
    fintegrationfs.com
    5
  10. 10
    backbase.com
    4

Increase is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
1/15
Perplexity
1/15
OpenAI
0/15
Market comparisonSection 06

How Increase 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
6

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
73

How well built the website's own pages are

AI readiness
50

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 cards and payments companies

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

Overall score
35
Ranks 88 of 375. Typical company: 27
Named in answers
5.0%
Ranks 106 of 375. Typical company: 0.0%
AI readiness
50
Ranks 7 of 375. Typical company: 29
Against its categorySection 08

Compared with payment processors

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

Overall score
35
Ranks 42 of 203. Typical company: 27
Named in answers
5.0%
Ranks 47 of 203. Typical company: 0.0%
AI readiness
50
Ranks 4 of 203. 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 4: Agent-integrated. At least one of an MCP card, A2A card, skills index or API catalog is published.

To reach level 5:
  • Web Bot Auth
  • 4 of MCP Server Card, A2A Agent Card, Agent Skills, API Catalog
  • 1 of OAuth discovery, OAuth Protected Resource, auth.md
Can an AI agent check out here?

Not by itself. Increase 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
  • MPPCould not check
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsPublished
  • API CatalogPublished
  • llms.txtPublished
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
100 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 headersPassed

    HTTP Link headers on the homepage that point agents at machine readable resources.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
100 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
68 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsPassed

    Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.

    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
30 of 100
  • API CatalogPassed

    A linkset at /.well-known/api-catalog listing APIs, specs and docs.

    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 SkillsPassed

    A skills index at /.well-known/agent-skills/index.json that agents can load.

    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 70 of 100 · 97% of checks could run · checked on October 9, 2026 · increase.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

7 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

  • PassedMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • PassedAPI 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

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • 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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ShareSection 12

Share this result

Overall score 35 of 100 badge for Increase

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/increase.com"><img src="https://aeo-audit.rezolve.com/finance/badges/increase.com.svg" alt="Overall score 35 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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