- Visibility22
- Citations0
- Sentiment91
- Site quality80
- AI readiness43
AI assistants name Claude in 25% of their answers, more often than the typical company in the technology sector, which is named in 10% of answers. Claude has an overall score of 42 out of 100, ranking 235th of 2,047 companies. Its website passes 5 of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the technology market: none named Claude. AI assistants named it in 15 of 60 answers (25.0%). The typical technology company is named in 10.0% of answers. By how often it is named, Claude ranks 59 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 AI chat platforms offer the most natural language understanding?”
The platforms most associated with strong natural language understanding are Google Dialogflow, Amazon Lex, Kore.ai, Rasa, and modern LLM-based chat platforms such as Google Gemini and Claude-based chat products.
A practical way to think about it is this:
Best pure NLU platforms for building chatbots: Dialogflow and Amazon Lex are explicitly described as natural language understanding platforms for interpreting user intent and supporting conversational interfaces.
Best enterprise conversational AI platforms: Kore …
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
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%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.txtNot met
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 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%WebMCPNot met
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 24 of 100 · 100% of checks could run · checked on October 3, 2026 · claude.ai · 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%
- PassedHTTP 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%
- 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 4 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extended*blocked
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*blocked
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- ChatGPT-User*blocked
- 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 Consumer brands. One of the most visited websites in the United States (Similarweb, August 2026). An Anthropic product.
- What factors should professionals consider before choosing an AI chatbot platform?
- Which AI chat platforms offer the most natural language understanding?
- What are the best AI chatbot platforms for professional productivity?
- How can I improve the reliability of my AI chatbot platform?
- Are there any free or low-cost AI chatbot platforms suitable for individuals?
- How do rule-based chatbots compare to generative AI chatbot platforms?
- Other solutions professionals use instead of conversational AI for productivity?
- AI chatbot platforms vs virtual assistant software: what's the difference?
- Is investing in a conversational AI platform worth it for small businesses?
- Why does my AI chatbot respond inaccurately to complex requests?
- Best AI chatbot use-cases for boosting workplace productivity?
- How do professionals use conversational AI for customer support?
- How much do advanced AI chatbot platforms typically cost in the US?
- Most advanced conversational AI tools for businesses in the US?
- Alternatives to AI chatbot platforms for automating business conversations?
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/claude.ai"><img src="https://aeo-audit.rezolve.com/us/badges/claude.ai.svg" alt="Overall score 42 of 100, US AI Visibility Study 2026" width="280" height="64"></a>