- Visibility23
- Citations5
- Sentiment50
- Site quality87
- AI readiness43
AI assistants name CommVault Systems in 23.3% of answers, more often than the typical company in the technology sector at 10%. Its overall score is 37 out of 100, ranking 631st of 2,047 companies. The company's website passes 6 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the technology market: none named CommVault Systems. AI assistants named it in 14 of 60 answers (23.3%). The typical technology company is named in 10.0% of answers. By how often it is named, CommVault Systems ranks 67 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
“Which US-based enterprise data defense solutions are most trusted for critical infrastructure?”
Short answer — organizations protecting U.S. critical infrastructure most commonly rely on a combination of proven, U.S.-based vendors across three areas: hardened/immutable backup & recovery, data-security posture and governance, and OT/ICS protection (plus one‑way transfer hardware for high‑assurance air‑gap). The following vendors are the ones most frequently recommended and deployed for critical infrastructure environments:
Backup / immutable data protection (enterprise recovery & ransomware resilience)
Rubrik — widely used for immutable backups, rapid recovery, and for critical‑inf …
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 3: Agent-readable. Agents can request pages as markdown.
- 1 of MCP Server Card, A2A Agent Card, Agent Skills, API Catalog
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 negotiationPassed
Requests sent with Accept: text/markdown receive a markdown version of the page.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- study: 1.4%Content SignalsPassed
Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.
- 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 51 of 100 · 97% of checks could run · checked on October 5, 2026 · www.commvault.com · 2,047 companies scanned
6 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%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Not metllms.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 1 AI crawler by name. All others follow its general rules.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespider*blocked
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Which US-based enterprise data defense solutions are most trusted for critical infrastructure?
- Best ways to protect enterprise data from AI-driven threats?
- What factors influence the cost of premium AI-powered data protection solutions for big businesses?
- What features should I look for when choosing an enterprise platform that unifies security, identity, and recovery?
- Typical price range for comprehensive enterprise data recovery and security platforms in the US
- Is investing in an AI-enabled enterprise data recovery system worthwhile for a large business?
- What are the top enterprise data recovery platforms for large organizations focused on security?
- Best practices for restoring compromised enterprise systems to a clean state using automated solutions
- How do large organizations deploy continuous data recovery to mitigate ransomware risks?
- Alternatives to unified enterprise data recovery platforms for large-scale organizations
- How to resolve slow recovery times with enterprise data restoration platforms?
- Why might recovered data not return to a fully trusted state after an attack?
- How do unified data security and recovery solutions compare to standalone data backup tools?
- What are the main options besides AI-driven recovery for securing enterprise data integrity?
- AI-powered data recovery platforms vs traditional recovery solutions for enterprises
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/commvault.com"><img src="https://aeo-audit.rezolve.com/us/badges/commvault.com.svg" alt="Overall score 37 of 100, US AI Visibility Study 2026" width="280" height="64"></a>