- Visibility12
- Citations0
- Sentiment50
- Site quality60
- AI readiness7
AI assistants name EPAM Systems in 10% of answers, exactly as often as the typical company in the technology sector. Its overall score is 24 out of 100, ranking 1,856th of 2,047 companies. The EPAM Systems website passes 1 of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the technology market: none named EPAM Systems. AI assistants named it in 6 of 60 answers (10.0%). The typical technology company is named in 10.0% of answers. By how often it is named, EPAM Systems ranks 132 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 software engineering consultancies for large-scale digital transformation projects?”
For large-scale digital transformation projects, the "best" enterprise software engineering consultancies often excel in connecting digital strategy with technology, change management, and execution to achieve clear business outcomes. These firms help businesses adapt to a dynamic tech ecosystem by designing, deploying, and scaling technology, often leveraging AI, analytics, and automation.
Here are some of the top enterprise software engineering consultancies for large-scale digital transformation projects:
Global Leaders & Integrators:
Accenture: Recognized as the largest tran …
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Some checks could not run. With them, up to level 1 would be possible.
The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.
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%SitemapCould not check
Serve an XML sitemap and reference it 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.txtCould not check
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- 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 AuthCould not check
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 ResourceCould not check
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdCould not check
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 CardCould not check
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%WebMCPNot met
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestCould not check
Publish an ai-catalog.json listing every agent interface.
Score 23 of 100 · 67% of checks could run · checked on October 4, 2026 · epam.com · 2,047 companies scanned
1 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
- Not metrobots.txt publishedstudy: 85.0%
- Not metXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit 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%
How many times each website was listed as a source in these answers
In the study as US-listed.
- How does platform and product development consultancy compare to traditional IT outsourcing for enterprise needs?
- What are the best enterprise software engineering consultancies for large-scale digital transformation projects?
- What are other options besides full-scale digital advisory services for organizations wanting to adopt generative AI solutions?
- What is the typical pricing structure for enterprise-level software engineering consultancy services in the US?
- How do consultancy-led agile transformations benefit large enterprises with complex project portfolios?
- Best strategies large organizations use to select a partner for cloud data migration and AI integration?
- Are digital transformation strategy and implementation costs usually bundled or billed separately by consultancies?
- Alternatives to traditional enterprise software consultancies for digital platform modernization?
- Top digital transformation advisory firms for Fortune 500 companies in the US?
- Digital business process outsourcing vs. in-house software engineering: What are the key trade-offs for major organizations?
- Why do digital transformation initiatives sometimes fail at the implementation stage within enterprises?
- Ways enterprise consultancies support mergers and acquisitions through technology integration and data analytics?
- Common challenges large organizations face when integrating AI and analytics into core business systems?
- Is hiring a digital transformation consultancy worth the investment for legacy system modernization?
- What do organizations typically gain from partnering with an enterprise software advisory firm in complex cloud migrations?
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/epam.com"><img src="https://aeo-audit.rezolve.com/us/badges/epam.com.svg" alt="Overall score 24 of 100, US AI Visibility Study 2026" width="280" height="64"></a>