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

Workhelix

workhelix.com

Consultancies and professional servicesAdvisers and services

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
662 of 2,219
its rank by overall score
Place in its category
37th of 177 consultancies
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Workhelix

AI assistants rarely name this consultancy: it appears in 1 of 60 answers, and DataRobot is also named. Its overall score is 35 out of 100, ranking 662nd of 2,219 companies, which is higher than the typical company in its sector. Its website passes 4 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Workhelix by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 118th of 346 in its sector. The typical advisory or services firm is named in 0.0% 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
35Overall score
  • Visibility5
  • Citations0
  • Sentiment100
  • Site quality67
  • AI readiness29
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
25.0%
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
80 of 346
by overall score, where the typical advisory or services firm scores 27

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01What are the best platforms to measure the ROI of enterprise AI investments?0/4
  2. 02Why might an enterprise analytics dashboard not accurately reflect AI-generated business value?0/4
  3. 03ROI tracking software vs traditional business intelligence tools for monitoring AI performance—what's the difference?0/4
  4. 04How do AI ROI analytics platforms differ from standard AI usage dashboards?0/4
  5. 05How do companies use AI ROI analytics platforms to identify underutilized opportunities?0/4
  6. 06Does implementing an ROI analytics tool for AI justify the costs for enterprise leaders?0/4
  7. 07Are there major differences in features between entry-level and premium AI ROI analytics platforms?0/4
  8. 08Which analytics tools help track value realization from AI projects in large organizations?1/4
  9. 09Is it worth investing in a dedicated analytics platform to optimize enterprise AI outcomes?0/4
  10. 10What manual methods can organizations use to assess the ROI of their AI implementation without specialized platforms?0/4
  11. 11How can enterprises use general analytics infrastructure to measure the outcomes of their AI programs if they don't want a dedicated solution?0/4
  12. 12Common mistakes when measuring the ROI of enterprise AI projects and how to fix them?0/4
  13. 13What is the typical pricing range for enterprise-level AI ROI analytics solutions in the US?0/4
  14. 14Best practices for leveraging AI value-tracking tools to inform future investments in AI.0/4
  15. 15Alternatives to AI ROI analytics platforms for tracking the impact of enterprise AI initiatives.0/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 0/15Gemini: 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 OpenAI actually said

An answer that names the company

OpenAInamed the company

“Which analytics tools help track value realization from AI projects in large organizations?”

… AI value-realization / ROI platforms — designed to quantify adoption, time-saved, savings/throughput gains, and portfolio ROI across many AI use cases: Nebuly, Dynamyc, Workhelix, SilkFlo, Ascerta (Atlas) and DataGalaxy’s AI Value features. These platforms focus on tying usage/adoption and defined business KPIs to dollarized value and portfolio views. (nebuly.com)

ML observability & model monitoring — track model health, drift, accuracy, fairness and prediction explanations so you can detect when value erodes and why: Arize, Fiddler, Evidently/WhyLabs, NannyM …

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
    DataRobot
    1

Share of mentions

CompanyShare
  1. DataRobot
    50.0%
  2. Workhelix
    25.0%
  3. Arize AI
    25.0%
  4. AHEAD
    0.0%
  5. Domino Data Lab
    0.0%
  6. Quantiphi
    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
    larridin.com
    20
  2. 02
    worklytics.co
    10
  3. 03
    olakai.ai
    8
  4. 04
    agility-at-scale.com
    7
  5. 05
    querio.ai
    5
  6. 06
    waydev.co
    5
  7. 07
    cometly.com
    4
  8. 08
    coworker.ai
    4
  9. 09
    getaigovernance.net
    4
  10. 10
    planisware.com
    4

Workhelix is in the study as a consultancy.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Workhelix 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
5

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
100

How positively AI describes the company

Site quality
67

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 advisory and services firms

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

Overall score
35
Ranks 80 of 346. Typical company: 27
Named in answers
1.7%
Ranks 118 of 346. Typical company: 0.0%
AI readiness
29
Ranks 96 of 346. Typical company: 29
Against its categorySection 08

Compared with consultancies

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

Overall score
35
Ranks 31 of 177. Typical company: 27
Named in answers
1.7%
Ranks 45 of 177. Typical company: 0.0%
AI readiness
29
Ranks 48 of 177. 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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. Workhelix 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
36 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    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 15 of 100 · 97% of checks could run · checked on October 9, 2026 · www.workhelix.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%
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End of statement
All 2,219 companiesHow we measured this
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