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

Popl

popl.co

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.
11 of 2,219
its rank by overall score
Place in its category
2nd of 315 fintech infrastructure companies
Closing balance

Named in

17of 60 answers

by 4 of 4 assistants

Statement note

What this means for Popl

AI assistants name this fintech infrastructure company in 28.3% of answers, much more often than the typical company in its sector, which is named in 1.7%. Its overall score is 50 out of 100, placing it 11th of 2,219 companies and 4th of 574 in its sector. The website passes 9 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Popl by name. AI assistants named it in 17 of the 60 answers. Counting only how often it is named, it ranks 26th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
50Overall score
  • Visibility34
  • Citations7
  • Sentiment85
  • Site quality87
  • AI readiness64
Summary of account
Named by AI in
28.3%
17 of 60 answers
Share of mentions
48.6%
of the mentions of it and its 5 peers
AI readiness
9/14
technical checks passed. Typical for its sector: 4
Rank in its sector
4 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

Popl came up on 9 of 15 questions. Open any window to read that answer.

  1. 01Is investing in an AI-powered badge scanning tool worth it for large-scale conferences?2/4
  2. 02Typical pricing models for AI-powered event lead capture platforms in the US2/4
  3. 03Alternatives to using badge scanners for event lead capture2/4
  4. 04What are the most reliable AI-powered event lead capture platforms for B2B sales teams?2/4
  5. 05How can AI enrich data captured from event attendees?0/4
  6. 06How does AI event lead capture differ from manual badge scanning at conferences?0/4
  7. 07What are other ways GTM teams can collect leads at in-person events without badge scanning?0/4
  8. 08What to do if badge scanning isn’t syncing leads properly to my CRM?0/4
  9. 09AI-based event lead capture alternatives to traditional data entry at conferences2/4
  10. 10Best practices for converting in-person event badge scans into qualified sales leads0/4
  11. 11Best badge scanning apps for syncing event contacts to a CRM3/4
  12. 12Badge scanning vs. digital business card solutions for on-site lead collection0/4
  13. 13How to handle duplicate or incomplete leads from event badge scans?1/4
  14. 14What should GTM teams look for when choosing an event lead capture platform?1/4
  15. 15Are there affordable badge scanning solutions for smaller marketing teams?2/4
Total namedOpenAI: 1/15Claude: 6/15Perplexity: 2/15Gemini: 8/15All assistants: 17/60
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 most reliable AI-powered event lead capture platforms for B2B sales teams?”

The most reliable choices for B2B sales teams are Cvent iCapture, Captello, iCapture by Cvent, Zuddl, Momencio, and Popl—with the best fit depending on CRM depth, event scale, offline performance, and AI follow-up needs. Current comparisons emphasize CRM synchronization, offline reliability, lead qualification, enrichment, and on-site meeting booking as the key differentiators.

Platform · Best for · Why it stands out

Cvent iCapture · Enterprise trade shows and teams already using Cvent · Strong badge scanning and CRM transfer while preserving qualification co …

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
    Cvent LeadCapture
    4
  2. 02
    iCapture
    3

Share of mentions

CompanyShare
  1. Popl
    48.6%
  2. Cvent LeadCapture
    28.6%
  3. iCapture
    22.9%
  4. Stova
    0.0%
  5. Akkroo (now part of Integrate Events)
    0.0%
  6. atEvent
    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
    blinq.me
    29
  2. 02
    popl.co (its own website)
    17
  3. 03
    wavecnct.com
    13
  4. 04
    b2brain.com
    11
  5. 05
    bizzabo.com
    11
  6. 06
    momencio.com
    10
  7. 07
    mobilocard.com
    8
  8. 08
    getboothiq.com
    7
  9. 09
    zuddl.com
    6
  10. 10
    getmobly.com
    6

Popl 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

Gemini
8/15
Claude
6/15
Perplexity
2/15
OpenAI
1/15
Market comparisonSection 06

How Popl 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
34

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

Citations
7

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

Sentiment
85

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
64

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
50
Ranks 4 of 574. Typical company: 29
Named in answers
28.3%
Ranks 26 of 574. Typical company: 1.7%
AI readiness
64
Ranks 3 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
50
Ranks 2 of 315. Typical company: 28
Named in answers
28.3%
Ranks 6 of 315. Typical company: 1.7%
AI readiness
64
Ranks 2 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?

Yes. Popl publishes UCP, which an AI agent can pay or check out through.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPPublished
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtPublished
  • WebMCPCould not check

The page also offers an agent tools inside the browser: add to cart, update cart lines, proceed to checkout.

The website runs on Shopify.

Show every check, for your technical team
Discoverability
80 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 DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

    study: 4.3%
Content accessibility
50 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtPassed

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

    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
20 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryPassed

    OpenID Connect or OAuth metadata agents can use to sign in.

    study: 6.3%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    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 45 of 100 · 97% of checks could run · checked on October 9, 2026 · popl.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

9 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

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • PassedOAuth Authorization Server discoverystudy: 5.2%
  • PassedOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • PassedWebMCP 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 50 of 100 badge for Popl

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/popl.co"><img src="https://aeo-audit.rezolve.com/finance/badges/popl.co.svg" alt="Overall score 50 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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