- Visibility6
- Citations0
- Sentiment88
- Site quality87
- AI readiness36
AI assistants name DXC Technology in 5% of answers, less often than the typical company in its sector. Its overall score is 37 out of 100, ranking 676th of 2,047 companies. The company's website passes 5 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named DXC Technology. AI assistants named it in 3 of 60 answers (5.0%). The typical technology company is named in 10.0% of answers. By how often it is named, DXC Technology ranks 185 of 273 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
273 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the best enterprise IT service providers for large organizations looking to implement AI-driven digital transformation?”
Based on current industry research, here are the best enterprise IT service providers for large organizations implementing AI-driven digital transformation:
Top-Tier Global Providers
Accenture stands out as a leading choice for large enterprises. Accenture maintains its position as a global top-managed IT service provider through comprehensive digital transformation expertise and has a top strategic specialization on Generative AI. The company achieved $3 billion in new GenAI-related bookings in fiscal year 2024.
IBM Consulting is particularly strong for complex enterprise enviro …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtPassed
An llms.txt that tells language models what the site offers.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%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: 0.1%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: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 43 of 100 · 97% of checks could run · checked on October 5, 2026 · dxc.com · 2,047 companies scanned
5 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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- PassedExplicit AI bot rulesstudy: 13.0%
- 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%
This website sets rules for 3 AI crawlers by name. All others follow its general rules.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*allowed
- Claude-SearchBotpartly
- PerplexityBot*allowed
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- ChatGPT-User*allowed
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- How do managed IT services compare to traditional in-house IT teams for large enterprises?
- What are effective ways for global enterprises to reduce technical debt while adopting new digital platforms?
- How can large organizations overcome resistance to digital transformation among their workforce?
- What are alternatives to full IT outsourcing for organizations seeking more control over their digital transformation?
- What are the best enterprise IT service providers for large organizations looking to implement AI-driven digital transformation?
- What are the key differences between private cloud solutions and hybrid cloud services for public sector organizations?
- Which solutions offer similar benefits to integrated workplace transformation services for large organizations?
- What is the typical cost structure for enterprise IT outsourcing services in the United States?
- What are common challenges when integrating AI and analytics solutions into existing enterprise infrastructures?
- Which technology consulting firms specialize in cloud migration and modernization for financial services companies?
- What are leading options for advanced analytics and AI platforms tailored for the public sector?
- Is transitioning to a digital-first workplace a smart move for large retailers in the US?
- How can energy companies use advanced technology solutions to improve operational efficiency?
- Are enterprise application modernization services worth the investment for companies with legacy systems?
- How do pricing models differ between on-premises and cloud-based enterprise software solutions?
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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<a href="https://aeo-audit.rezolve.com/us/dxc.com"><img src="https://aeo-audit.rezolve.com/us/badges/dxc.com.svg" alt="Overall score 37 of 100, US AI Visibility Study 2026" width="280" height="64"></a>