- Visibility36
- Citations6
- Sentiment88
- Site quality93
- AI readiness7
AI assistants name Iron Mountain in 23.3% of answers, about twice as often as the typical company in its sector. Its overall score is 46 out of 100, ranking 83rd of 2,047 companies and highest in its sector. The website passes 1 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the real estate market: none named Iron Mountain. AI assistants named it in 14 of 60 answers (23.3%). The typical real estate company is named in 11.7% of answers. By how often it is named, Iron Mountain ranks 4 of 26 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.
26 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the best secure records storage solutions for large organizations in the US?”
Large organizations in the U.S. require robust and secure records storage solutions, encompassing both physical and digital formats, to ensure compliance with various regulations and protect sensitive information. These solutions often involve a combination of specialized services and technologies.
Key Considerations for Secure Records Storage:
Compliance: Adherence to regulations like HIPAA (for healthcare information) and NIST (for federal contractors and sensitive unclassified information) is paramount. This includes requirements for data encryption, access controls, audit log …
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
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.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapPartly met
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.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesNot 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 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 7 of 100 · 97% of checks could run · checked on October 3, 2026 · ironmountain.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 S&P 500.
- Alternatives to traditional records storage for long-term information retention?
- What are the best secure records storage solutions for large organizations in the US?
- How can secure document storage support regulatory compliance for financial institutions?
- How are enterprise information management services typically priced in the US market?
- What are the most secure options besides in-house shredding for destroying confidential documents?
- Common challenges enterprises face with physical records management and how to overcome them?
- Are professional document shredding and data destruction services cost-effective for large companies?
- What enterprise solutions exist to help manage records during large-scale office moves or consolidation?
- What should organizations do if they lose track of retired IT assets?
- Which digital platforms can help enterprises automate their information lifecycle management?
- How does offsite records storage differ from onsite storage for enterprise compliance and security?
- Top options for enterprise digital transformation through document digitization services?
- Enterprise data center colocation vs. cloud storage: Which is more secure for sensitive information?
- What factors influence the cost of secure IT asset disposition for large organizations?
- Is it worth investing in a managed IT asset disposition service for end-of-life devices?
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/ironmountain.com"><img src="https://aeo-audit.rezolve.com/us/badges/ironmountain.com.svg" alt="Overall score 46 of 100, US AI Visibility Study 2026" width="280" height="64"></a>