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Kyndryl

kyndryl.com · Industrial · KD

Ranked 1,076 of 2,047 companies in the study

32Overall score
  • Visibility7
  • Citations0
  • Sentiment67
  • Site quality87
  • AI readiness21
What this means for Kyndryl

AI assistants name Kyndryl in 5% of answers, which matches the typical company in its sector. Its overall score is 32 out of 100, ranking 1,076th of 2,047 companies. The company's website passes 3 out of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the industrial market: none named Kyndryl. AI assistants named it in 3 of 60 answers (5.0%). The typical industrial company is named in 5.0% of answers. By how often it is named, Kyndryl ranks 116 of 246 in its sector.

Named by AI in
5.0%
3 of 60 answers
Share of mentions
8.8%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
110 of 246
by overall score, where the typical industrial company scores 31
How Kyndryl compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
7

How often AI assistants name the company

Citations
0

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

Sentiment
67

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.

Compared with industrial

246 companies in this sector. The line on each bar is the typical company.

Overall score32
Ranks 110 of 246. Typical company: 31
Named in answers5%
Ranks 116 of 246. Typical company: 5%
AI readiness21
Ranks 107 of 246. Typical company: 21
What OpenAI actually said

An answer that names the company

“Top IT infrastructure consulting options for complex U.S. companies”

Below is a practical shortlist of top IT‑infrastructure consulting options for complex U.S. enterprises, plus how to choose among them and next‑step questions to use when you engage vendors.

High‑level categories (short): what to consider and representative leaders

Global systems integrators / “big consultancies” — best for large, multi‑cloud, multi‑workload, regulated and global transformations where you need program governance, deep industry practice and scale. Examples: Accenture, Deloitte, IBM Consulting, Capgemini, TCS, Cognizant. (accenture.com …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Accenture7IBM Consulting6Cognizant3DXC Technology2Infosys1
Share of mentions

How the mentions in these answers were split between this company and its rivals

Accenture
31.0%
IBM Consulting
27.6%
Cognizant
13.8%
Kyndryl
10.3%
DXC Technology
10.3%
Infosys
6.9%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
2/15
Perplexity
1/15
Claude
0/15
Gemini
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, 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
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: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

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

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

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

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.kyndryl.com · 2,047 companies scanned

See how every company did, and how this was measured.

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: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% 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.

Websites the AI used as sources

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

linkedin.com
10
techtarget.com
8
ibm.com
7
splashtop.com
6
moveworks.com
6
redriver.com
6
worldmetrics.org
6
simform.com
5
gartsolutions.com
5
n-ix.com
5

In the study as US-listed.

Every question, and where the company came up (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Best ways to assess technology readiness for organizational digital transformation
  • Top IT infrastructure consulting options for complex U.S. companies
  • Alternatives to fully managed IT infrastructure services for complex organizations
  • Are enterprise IT infrastructure management services worth the investment for large organizations?
  • What are the best enterprise IT modernization services for large organizations?
  • What options do enterprises have besides comprehensive business workflow transformation services?
  • How to evaluate the value of outsourced IT modernization for critical business systems
  • How can organizations improve cybersecurity during IT modernization projects?
  • How much does it cost to modernize mission-critical technology systems for a large organization?
  • Common challenges when integrating legacy systems with modern cloud infrastructure
  • Use cases for AI-driven automation in enterprise infrastructure management
  • Typical pricing models for enterprise IT consulting and infrastructure management in the U.S.
  • Cloud migration services vs on-premise modernization solutions for enterprises
  • How do managed IT infrastructure services compare to self-managed approaches for mission-critical systems?
  • How can large enterprises address ongoing issues with digital workplace transformation?
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.

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Overall score 32 of 100 badge for Kyndryl

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