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.
500 of 2,219
its rank by overall score
Closing balance

Named in

3of 60 answers

by 2 of 4 assistants

Statement note

What this means for NelsonHall

AI assistants name this research or media company in 5% of answers, while the typical company in its sector is not named at all. Its overall score is 37 out of 100, ranking 500th of 2,219. The company's website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned NelsonHall by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 77th of 346 in its sector. The typical advisory or services firm is named in 0.0% of answers.

Overall score
37Overall score
  • Visibility4
  • Citations1
  • Sentiment100
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
3.6%
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
59 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

NelsonHall came up on 2 of 15 questions. Open any window to read that answer.

  1. 01Where else can I find objective insights on business process services beyond analyst reports?0/4
  2. 02Are paid research subscriptions for IT and business services worth the investment for mid-sized companies?0/4
  3. 03How can I assess the reliability of analyst insight when planning a business transformation initiative?0/4
  4. 04How do IT services analyst reports compare with business process analyst research in terms of depth and focus?0/4
  5. 05How much do typical subscriptions to IT and business services analyst platforms cost in the US?0/4
  6. 06How can analyst reports help with evaluating potential vendors for managed IT services?0/4
  7. 07Are there affordable options for accessing quality business process transformation research?0/4
  8. 08What should I do if analyst research on IT services is outdated or lacks actionable recommendations?0/4
  9. 09Is it better to use analyst research for vendor shortlisting or rely on internal expertise for service transformation projects?0/4
  10. 10What are good alternatives to traditional analyst research for understanding IT transformation best practices?0/4
  11. 11What are the best analyst research sources for business process transformation insights?2/4
  12. 12What’s the difference between global analyst research firms and boutique research providers for IT transformation?0/4
  13. 13What’s the role of analyst research when mapping out a digital transformation strategy?0/4
  14. 14Are there independent communities or platforms that provide peer-reviewed research on IT and business service transformation?0/4
  15. 15Where can I find expert analysis on IT service transformation trends?1/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 2/15Gemini: 0/15All assistants: 3/60
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

“Where can I find expert analysis on IT service transformation trends?”

For expert analysis on IT service transformation trends, these are strong places to start:

NelsonHall — Focuses specifically on business-process and IT-service transformation, including market analysis, vendor assessments, forecasts, and analyst commentary. Its NEAT evaluations are particularly useful for comparing service providers.

TSIA — Best for technology-service providers and IT leaders seeking research on AI adoption, managed services, service operations, and business-model transformation. Its portal provides specialized research and data-driven strategy guidance. …

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
    Gartner
    19
  2. 02
    Forrester
    16
  3. 03
    Everest Group
    3

Share of mentions

CompanyShare
  1. Gartner
    33.3%
  2. Forrester
    25.0%
  3. IDC (International Data Corporation)
    23.8%
  4. ISG (Information Services Group)
    8.3%
  5. Everest Group
    6.0%
  6. NelsonHall
    3.6%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    gitnux.org
    9
  2. 02
    vendr.com
    8
  3. 03
    worldmetrics.org
    7
  4. 04
    hcltech.com
    6
  5. 05
    infosysbpm.com
    5
  6. 06
    tsia.com
    5
  7. 07
    omdia.tech.informa.com
    5
  8. 08
    moldstud.com
    4
  9. 09
    researchgate.net
    4
  10. 10
    marketintelligencetools.com
    3

NelsonHall is in the study as a research or media company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
2/15
OpenAI
1/15
Claude
0/15
Gemini
0/15
Market comparisonSection 06

How NelsonHall 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
1

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

Sentiment
100

How positively AI describes the company

Site quality
80

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
37
Ranks 59 of 346. Typical company: 27
Named in answers
5.0%
Ranks 77 of 346. Typical company: 0.0%
AI readiness
29
Ranks 96 of 346. Typical company: 29
Against its categorySection 08

Compared with research and media companies

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

Overall score
37
Ranks 19 of 73. Typical company: 31
Named in answers
5.0%
Ranks 30 of 73. Typical company: 3.3%
AI readiness
29
Ranks 21 of 73. 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. NelsonHall 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.txtPublished
  • 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
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
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 36 of 100 · 97% of checks could run · checked on October 9, 2026 · reimagine.nelson-hall.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%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown 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%
  • 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

  • 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 37 of 100 badge for NelsonHall

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