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.
64 of 2,219
its rank by overall score
Place in its category
4th of 29 digital wallets
Closing balance

Named in

24of 60 answers

by 4 of 4 assistants

Statement note

What this means for Ingo

AI assistants name this digital wallet in 40% of answers, which is much more often than the typical company in its sector. Its overall score is 44 out of 100, ranking 64th of 2,219 companies. The website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Ingo by name. AI assistants named it in 24 of the 60 answers. Counting only how often it is named, it ranks 13th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
44Overall score
  • Visibility37
  • Citations2
  • Sentiment85
  • Site quality73
  • AI readiness29
Summary of account
Named by AI in
40.0%
24 of 60 answers
Share of mentions
34.8%
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
13 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

Ingo came up on 12 of 15 questions. Open any window to read that answer.

  1. 01Why did my check get rejected by a mobile check cashing app?1/4
  2. 02How do mobile check cashing apps work with government or payroll checks?1/4
  3. 03Which check cashing services allow deposits directly to a prepaid card?4/4
  4. 04How does cashing a check on a mobile app compare to depositing by ATM?0/4
  5. 05Are there any free options for mobile check cashing with next-day deposit?2/4
  6. 06Which mobile check cashing services support deposit to PayPal accounts?4/4
  7. 07What are the best mobile check cashing apps for getting funds instantly?4/4
  8. 08Are mobile check cashing apps safe for depositing personal checks?0/4
  9. 09Mobile check cashing apps vs. physical check cashing stores: which is faster and cheaper?1/4
  10. 10Can I cash business checks using a mobile check cashing service as a sole proprietor?1/4
  11. 11Best options for fast check deposits besides mobile apps?0/4
  12. 12Is instant mobile check cashing worth the fees for fast access to money?1/4
  13. 13What are alternatives to using an app for cashing checks quickly?1/4
  14. 14What are typical fees for instant check cashing through mobile apps?3/4
  15. 15What can I do if my check isn't showing up after taking a picture in a check cashing app?1/4
Total namedOpenAI: 4/15Claude: 6/15Perplexity: 5/15Gemini: 9/15All assistants: 24/60
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 mobile check cashing apps for getting funds instantly?”

For fast access to check funds, these are the strongest options in the U.S.:

Ingo Money — Best dedicated check-cashing app. It accepts many check types and offers an instant-funding option, typically for a fee.

PayPal — Convenient if you already use PayPal; eligible payroll, government, and personal checks can be deposited to your balance, with instant access available after approval.

Cash App — Some eligible users can deposit checks and pay for faster access, though availability and approval vary.

Chime — A good low-cost option for payroll and governme …

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
    Ingo Money
    13
  2. 02
    Netspend
    5
  3. 03
    GO2bank
    4
  4. 04
    PayPal Cash a Check
    3

Share of mentions

CompanyShare
  1. Ingo
    34.8%
  2. PayPal Cash a Check
    33.3%
  3. Netspend
    18.8%
  4. GO2bank
    5.8%
  5. Brink's Money Prepaid Mobile App
    4.3%
  6. Walmart MoneyCard
    2.9%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    firstcard.app
    14
  2. 02
    joingerald.com
    11
  3. 03
    creditdonkey.com
    10
  4. 04
    linkedin.com
    10
  5. 05
    paypal.com
    10
  6. 06
    amerisave.com
    9
  7. 07
    finder.com
    9
  8. 08
    savingsgrove.com
    8
  9. 09
    gobankingrates.com
    5
  10. 10
    finance.yahoo.com
    4

Ingo is in the study as a digital wallet.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
9/15
Claude
6/15
Perplexity
5/15
OpenAI
4/15
Market comparisonSection 06

How Ingo 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
37

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

Citations
2

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

Sentiment
85

How positively AI describes the company

Site quality
73

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 cards and payments companies

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

Overall score
44
Ranks 13 of 375. Typical company: 27
Named in answers
40.0%
Ranks 13 of 375. Typical company: 0.0%
AI readiness
29
Ranks 106 of 375. Typical company: 29
Against its categorySection 08

Compared with digital wallets

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

Overall score
44
Ranks 3 of 29. Typical company: 29
Named in answers
40.0%
Ranks 4 of 29. Typical company: 3.3%
AI readiness
29
Ranks 6 of 29. 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. Ingo 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 WooCommerce.

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 · ingomoney.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%
  • 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

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Overall score 44 of 100 badge for Ingo

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