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.
1,278 of 2,219
its rank by overall score
Place in its category
37th of 62 consumer lenders
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Rain

AI assistants rarely name this consumer lender. They name Rain in 1 of 60 answers; others named in the same response include DailyPay, Payactiv, and EarnIn. Rain has an overall score of 27 out of 100, ranking 1,278th of 2,219. Its website passes 5 of 14 technical checks showing how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Rain by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 49th of 93 in its sector. The typical lending and credit company is named in 3.3% 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
27Overall score
  • Visibility4
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness36
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
11.1%
of the mentions of it and its 5 peers
AI readiness
5/14
technical checks passed. Typical for its sector: 4
Rank in its sector
60 of 93
by overall score, where the typical lending and credit company scores 31

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01Why might an employee financial health platform not connect smoothly with an existing HR system?0/4
  2. 02Are there free financial wellness tools available for small businesses to support their employees?1/4
  3. 03How does an all-in-one employee financial health platform compare to traditional payroll advances?0/4
  4. 04How can employers use financial wellness tools to encourage better financial habits among staff?0/4
  5. 05Do workplace financial wellness tools actually help reduce staff turnover rates?0/4
  6. 06How can companies support employees in managing and growing their finances with digital tools?0/4
  7. 07What is the typical cost structure for monthly subscriptions to employee financial wellness platforms?0/4
  8. 08Which offline resources can employers recommend to staff for improving their financial stability?0/4
  9. 09Is investing in a financial well-being platform for employees worth it for employers?0/4
  10. 10What other kinds of benefits can employers offer to support financial health, beyond dedicated wellness platforms?0/4
  11. 11Employee financial wellness program vs. on-demand pay solutions: what's the difference?0/4
  12. 12What are the best employee financial wellness platforms for improving workforce retention?0/4
  13. 13What common issues cause delays when rolling out a new employee financial wellness platform?0/4
  14. 14What are effective ways to integrate financial coaching features into a workplace financial health program?0/4
  15. 15What alternatives exist besides financial wellness platforms for companies aiming to improve employee retention?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 1/15Gemini: 0/15All assistants: 1/60
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

“Are there free financial wellness tools available for small businesses to support their employees?”

… Free or employer-free platforms: Services such as ZayZoon, Tapcheck, Rain, and similar earned-wage-access products may be free for employers, although employees could face transaction fees or other costs depending on the service.

Free employee apps: Apps such as Empower may offer free budgeting, net-worth, investment-tracking, or retirement-monitoring features, though advanced features may require payment.

Before offering a tool, check whether “free” means free to the employer, whether employees pay fees, how employee data is used, whether the provider gives individu …

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
    DailyPay
    3
  2. 02
    Payactiv
    2
  3. 03
    EarnIn
    1

Share of mentions

CompanyShare
  1. DailyPay
    44.4%
  2. Payactiv
    33.3%
  3. Rain
    11.1%
  4. EarnIn
    11.1%
  5. Branch
    0.0%
  6. Immediate
    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
    adp.com
    17
  2. 02
    wellable.co
    9
  3. 03
    sourceforge.net
    5
  4. 04
    gartner.com
    4
  5. 05
    workhuman.com
    4
  6. 06
    business.bofa.com
    4
  7. 07
    consumerfinance.gov
    4
  8. 08
    g2.com
    3
  9. 09
    guideflow.com
    3
  10. 10
    linkedin.com
    3

Rain is in the study as a consumer lender.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Rain 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
4

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
73

How well built the website's own pages are

AI readiness
36

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 lending and credit companies

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

Overall score
27
Ranks 60 of 93. Typical company: 31
Named in answers
1.7%
Ranks 49 of 93. Typical company: 3.3%
AI readiness
36
Ranks 9 of 93. Typical company: 29
Against its categorySection 08

Compared with consumer lenders

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

Overall score
27
Ranks 35 of 62. Typical company: 28
Named in answers
1.7%
Ranks 28 of 62. Typical company: 1.7%
AI readiness
36
Ranks 6 of 62. 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. Rain 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.rainapp.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

5 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

  • 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 19 AI crawlers by name. All others follow its general rules.

Training AI

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

AI search

  • OAI-SearchBot*partly
  • Claude-SearchBot*partly
  • PerplexityBot*partly
  • Applebotpartly
  • Amazonbot*partly
  • YouBotpartly

Answering questions

  • ChatGPT-User*partly
  • Claude-User*partly
  • Perplexity-User*partly
  • DuckAssistBot*partly
  • MistralAI-User*partly

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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