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

DataLane

datalane.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.
481 of 2,219
its rank by overall score
Place in its category
66th of 315 fintech infrastructure companies
Closing balance

Named in

6of 60 answers

by 3 of 4 assistants

Statement note

What this means for DataLane

AI assistants name DataLane in 10% of their answers, which is higher than the typical company in its sector at 1.7%. DataLane has an overall score of 37 out of 100, ranked 481st of 2,219 companies. Its website passes 2 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned DataLane by name. AI assistants named it in 6 of the 60 answers. Counting only how often it is named, it ranks 118th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
37Overall score
  • Visibility12
  • Citations4
  • Sentiment100
  • Site quality73
  • AI readiness14
Summary of account
Named by AI in
10.0%
6 of 60 answers
Share of mentions
18.2%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
152 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

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

  1. 01What are the best go-to-market data platforms for targeting local business decision makers?1/4
  2. 02What should enterprise sales leaders consider before purchasing a go-to-market data solution for local business outreach?0/4
  3. 03What is the typical price range for enterprise-grade B2B data platforms targeting local businesses in the United States?0/4
  4. 04Why am I struggling to identify accurate decision maker contacts at small and mid-sized local businesses?0/4
  5. 05Is it worth investing in a dedicated local business sales intelligence platform for a large sales team?0/4
  6. 06Are there affordable options for accessing up-to-date local business decision maker intelligence for enterprise teams?0/4
  7. 07What alternatives are available to enterprise B2B data platforms for reaching local business buyers?3/4
  8. 08What are the differences between B2B data providers focused on enterprise versus those specializing in local markets?1/4
  9. 09How can sales teams use non-software tactics to gather local business intelligence?0/4
  10. 10Where can I find total addressable market (TAM) insights for US-based local business segments?0/4
  11. 11How do go-to-market data platforms help with territory planning for local business sales?0/4
  12. 12How do enterprise sales teams find accurate local business contact information?0/4
  13. 13What’s the best way to reach on-site decision makers who aren’t active on social media platforms?0/4
  14. 14How do go-to-market intelligence platforms compare to traditional CRM tools for selling to local businesses?0/4
  15. 15How can sales teams overcome outdated or incomplete local business data in their prospecting efforts?1/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 0/15Gemini: 4/15All assistants: 6/60
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 Claude actually said

An answer that names the company

Claudenamed the company

“What alternatives are available to enterprise B2B data platforms for reaching local business buyers?”

I'll search for information about alternatives to enterprise B2B data platforms for reaching local business buyers.Based on the search results, here are the main alternatives to enterprise B2B data platforms for reaching local business buyers:

Specialized Local Business Platforms

DataLane builds the account universe from scratch using non-LinkedIn sources: state licensing boards, permit filings, county data, local business registries, and franchise hierarchies. Origami is purpose-built for local and non-tech verticals, pulling from live web sources to find businesses and owners traditiona …

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
    Lusha
    6
  2. 02
    Apollo.io
    5

Share of mentions

CompanyShare
  1. Apollo.io
    51.5%
  2. Lusha
    21.2%
  3. DataLane
    18.2%
  4. D&B Hoovers (by Dun & Bradstreet)
    9.1%
  5. LeadIQ
    0.0%
  6. Salesgenie (by Data Axle)
    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
    pipeline.zoominfo.com
    18
  2. 02
    datalane.com (its own website)
    9
  3. 03
    origami.chat
    9
  4. 04
    openmart.com
    8
  5. 05
    salesgenie.com
    6
  6. 06
    salesmotion.io
    6
  7. 07
    scrap.io
    5
  8. 08
    lusha.com
    5
  9. 09
    hginsights.com
    4
  10. 10
    leadfeeder.com
    4

DataLane 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
4/15
Claude
1/15
OpenAI
1/15
Perplexity
0/15
Market comparisonSection 06

How DataLane 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
12

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

Citations
4

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

Sentiment
100

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
14

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
37
Ranks 152 of 574. Typical company: 29
Named in answers
10.0%
Ranks 118 of 574. Typical company: 1.7%
AI readiness
14
Ranks 504 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
37
Ranks 63 of 315. Typical company: 28
Named in answers
10.0%
Ranks 47 of 315. Typical company: 1.7%
AI readiness
14
Ranks 277 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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Can an AI agent check out here?

Not by itself. DataLane 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
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 headersCould not check

    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 negotiationCould not check

    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 30 of 100 · 81% of checks could run · checked on October 9, 2026 · datalane.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

2 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%
  • Not metXML 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 37 of 100 badge for DataLane

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/datalane.com"><img src="https://aeo-audit.rezolve.com/finance/badges/datalane.com.svg" alt="Overall score 37 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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