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.
1,272 of 2,219
its rank by overall score
Place in its category
78th of 177 consultancies
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for NTT DATA

AI assistants rarely name this consultancy, mentioning it in 1 of 60 answers, with Accenture, Capgemini, and Infosys also named. Its overall score is 27 out of 100, ranking 1,272nd of 2,219, which matches the typical company in its sector. The website passes 3 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned NTT DATA 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
27Overall score
  • Visibility2
  • Citations0
  • Sentiment50
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
2.9%
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
172 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

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

  1. 01What are the most effective business transformation services for large organizations looking to implement AI?1/4
  2. 02Ways large organizations can leverage data analytics consulting to gain a competitive edge0/4
  3. 03How do cloud migration services compare to on-premises transformation for enterprise-scale projects?0/4
  4. 04Is investing in a comprehensive AI strategy for enterprise transformation worth the cost?0/4
  5. 05Typical pricing models for enterprise business transformation consulting in the US0/4
  6. 06How to evaluate if digital transformation consulting delivers real ROI for large organizations0/4
  7. 07What factors influence the cost of full-scale technology consulting for a multinational business?0/4
  8. 08Alternatives to enterprise-wide digital transformation for organizations on a budget0/4
  9. 09Other approaches to organizational change management beyond business transformation consulting0/4
  10. 10How can AI consulting services help streamline operations in the financial services industry?0/4
  11. 11Business transformation consulting vs. traditional IT consulting: what are the key differences?0/4
  12. 12Options for midsize businesses needing partial business transformation without full consulting engagement0/4
  13. 13Top technology consulting options for enterprises focused on digital innovation0/4
  14. 14What should enterprises do if their cloud transformation project stalls or fails to meet expectations?0/4
  15. 15Common challenges when integrating cybersecurity solutions during enterprise digital transformation0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All 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 Gemini actually said

An answer that names the company

Gemininamed the company

“What are the most effective business transformation services for large organizations looking to implement AI?”

… Consulting firms like IBM Consulting, BCG, Deloitte, EY, NTT DATA, and McKinsey (QuantumBlack) offer these types of comprehensive services, often leveraging alliances with technology leaders to create full ecosystems for transformation ibm.com, bcg.com, deloitte.com, ey.com, nttdata.com …

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
    Accenture
    4
  2. 02
    Capgemini
    4
  3. 03
    Infosys
    3
  4. 04
    Cognizant
    3

Share of mentions

CompanyShare
  1. Accenture
    26.5%
  2. Deloitte Consulting
    26.5%
  3. Capgemini
    20.6%
  4. Cognizant
    14.7%
  5. Infosys
    8.8%
  6. NTT DATA
    2.9%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    argano.com
    7
  2. 02
    deloitte.com
    4
  3. 03
    linkedin.com
    4
  4. 04
    talentmsh.com
    4
  5. 05
    prosci.com
    4
  6. 06
    moldstud.com
    3
  7. 07
    cleveroad.com
    3
  8. 08
    bdemerson.com
    3
  9. 09
    classicinformatics.com
    3
  10. 10
    bcg.com
    3

NTT DATA is in the study as a consultancy.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How NTT DATA 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
2

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
50

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 advisory and services firms

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

Overall score
27
Ranks 172 of 346. Typical company: 27
Named in answers
1.7%
Ranks 118 of 346. Typical company: 0.0%
AI readiness
21
Ranks 228 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
27
Ranks 77 of 177. Typical company: 27
Named in answers
1.7%
Ranks 45 of 177. Typical company: 0.0%
AI readiness
21
Ranks 113 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 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. NTT DATA 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
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
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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · www.nttdata.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

  • 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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