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

Glassbox

glassbox.com

Banking and fintech infrastructureFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
181 of 2,219
its rank by overall score
Place in its category
24th of 315 fintech infrastructure companies
Closing balance

Named in

9of 60 answers

by 3 of 4 assistants

Statement note

What this means for Glassbox

AI assistants name this fintech infrastructure company in 15% of answers, much more often than the typical company in its sector at 1.7%. Its overall score is 41 out of 100, which ranks it 181st of 2,219 companies. The website passes 3 of 14 technical checks for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Glassbox by name. AI assistants named it in 9 of the 60 answers. Counting only how often it is named, it ranks 76th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
41Overall score
  • Visibility17
  • Citations2
  • Sentiment95
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
15.0%
9 of 60 answers
Share of mentions
23.7%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
54 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01How can a digital experience platform help uncover user drop-off points in a mobile banking app?0/4
  2. 02Digital journey optimization solutions tailored for highly regulated sectors like finance or healthcare?0/4
  3. 03What factors influence the pricing of enterprise digital customer experience analytics platforms in the US?0/4
  4. 04Is investing in a digital customer experience analytics suite worth it for regulated businesses?1/4
  5. 05Common issues with integrating customer experience analytics into existing enterprise tech stacks?0/4
  6. 06Ways customer experience analytics platforms can support compliance monitoring in healthcare portals?0/4
  7. 07How do digital analytics platforms differ from standard web analytics tools for enterprise use?0/4
  8. 08Alternatives to digital experience analytics platforms for optimizing user journeys in web apps?3/4
  9. 09What are the best digital customer experience analytics platforms for optimizing web and mobile applications in regulated industries?3/4
  10. 10What are some non-analytics approaches for improving digital customer experience and compliance?0/4
  11. 11Top digital journey analytics solutions trusted by enterprises for compliance and data security requirements?2/4
  12. 12Are there affordable digital analytics options for large organizations with strict data security needs?0/4
  13. 13Why might digital analytics tools fail to capture user frustrations accurately on financial services apps?0/4
  14. 14Digital experience analytics vs traditional session replay tools—what are the pros and cons for large organizations?0/4
  15. 15How do I evaluate if an advanced digital analytics platform will deliver ROI for optimizing customer journeys?0/4
Total namedOpenAI: 2/15Claude: 4/15Perplexity: 3/15Gemini: 0/15All 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the best digital customer experience analytics platforms for optimizing web and mobile applications in regulated industries?”

The strongest shortlist for regulated organizations is Glassbox, Contentsquare, Adobe Analytics, FullStory, and Amplitude. The best choice depends on whether compliance-grade session capture, journey optimization, enterprise analytics, or product experimentation is the priority.

Platform · Best fit · Key strengths · Main considerations

Glassbox · Banks, insurers, healthcare, and government · Session replay, journey mapping, mobile-app analytics, compliance controls, and cloud or on-premises deployment; it is specifically positioned for regulated …

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
    FullStory
    9
  2. 02
    Contentsquare
    9
  3. 03
    Quantum Metric
    6
  4. 04
    Heap
    4

Share of mentions

CompanyShare
  1. Glassbox
    23.7%
  2. Contentsquare
    23.7%
  3. FullStory
    18.4%
  4. Quantum Metric
    18.4%
  5. Heap
    15.8%
  6. Decibel (by Medallia)
    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
    quantummetric.com
    16
  2. 02
    fullstory.com
    16
  3. 03
    contentsquare.com
    13
  4. 04
    business.adobe.com
    9
  5. 05
    guideflow.com
    8
  6. 06
    uxcam.com
    8
  7. 07
    glassbox.com (its own website)
    6
  8. 08
    amplitude.com
    6
  9. 09
    piwik.pro
    6
  10. 10
    cmswire.com
    5

Glassbox is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
4/15
Perplexity
3/15
OpenAI
2/15
Gemini
0/15
Market comparisonSection 06

How Glassbox 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
17

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
95

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
21

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 financial technology and data companies

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

Overall score
41
Ranks 54 of 574. Typical company: 29
Named in answers
15.0%
Ranks 76 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
41
Ranks 21 of 315. Typical company: 28
Named in answers
15.0%
Ranks 28 of 315. Typical company: 1.7%
AI readiness
21
Ranks 215 of 315. 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. Glassbox 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
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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 24 of 100 · 97% of checks could run · checked on October 9, 2026 · www.glassbox.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

3 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%
  • 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%
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 41 of 100 badge for Glassbox

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/glassbox.com"><img src="https://aeo-audit.rezolve.com/finance/badges/glassbox.com.svg" alt="Overall score 41 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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