- Visibility11
- Citations2
- Sentiment100
- Site quality60
- AI readiness7
AI assistants name Entrust in 5% of answers, which is less than the typical company in its sector at 10%. The company has an overall score of 33 points out of 100, ranked 997th of 2,047 companies. Its website passes 1 of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the technology market: none named Entrust. 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, Entrust 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 identity and data security solutions for large organizations in the US?”
For large organizations in the U.S., selecting the best enterprise identity and data security solutions involves considering comprehensive platforms that address various aspects of Identity and Access Management (IAM), Privileged Access Management (PAM), data protection, and Zero Trust strategies. The North American region dominates the IAM market due to its well-developed cybersecurity environment, increased cloud computing adoption, and widespread implementation of Zero Trust architectures.
Here are some of the leading providers and their key strengths:
1. Microsoft Entra ID (formerly Az …
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.
This website turned most of our scan away, so it has no level. None of the checks could run. That reflects the website’s rules for automated visitors, and an AI agent arriving by itself meets the same rules.
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtCould not check
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapCould not check
Serve an XML sitemap and reference it from robots.txt.
- study: 0.3%Link headersCould not check
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 negotiationCould not check
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 rulesCould not check
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsCould not check
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 CatalogCould not check
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryCould not check
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 CardCould not check
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 SkillsCould not check
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 manifestCould not check
Publish an ai-catalog.json listing every agent interface.
0% of checks could run · checked on October 5, 2026 · entrust.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 Large private companies.
- What are the best enterprise identity and data security solutions for large organizations in the US?
- Is investing in a comprehensive identity lifecycle security platform worth it for organizations with over 1,000 employees?
- Do advanced identity-centric security technologies justify the cost for enterprises managing sensitive payment data?
- What factors impact the cost of enterprise-level authentication and identity management platforms in the US?
- Top-rated authentication tools for securing employee access in large enterprises?
- Identity verification solutions vs. multi-factor authentication—what’s the difference for enterprise security?
- How can US healthcare organizations enhance patient data protection using post-quantum cryptography solutions?
- Best practices for securing card and ID issuance within educational institutions or large enterprises?
- What are some non-hardware-based authentication solutions available for remote workforce security?
- Why might an identity verification process fail during employee onboarding?
- Typical pricing tiers for comprehensive key management solutions for financial services firms?
- Alternatives to traditional PKI for managing digital identities in multinational organizations?
- What are some options for enterprises looking to modernize their legacy payment security infrastructure?
- How does key and certificate lifecycle management differ from basic password management in a business environment?
- How can organizations address challenges with digital certificate renewal in large-scale deployments?
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.
A badge of this result that you can show on your own website. Copy the code below.
<a href="https://aeo-audit.rezolve.com/us/entrust.com"><img src="https://aeo-audit.rezolve.com/us/badges/entrust.com.svg" alt="Overall score 33 of 100, US AI Visibility Study 2026" width="280" height="64"></a>