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Cloudflare

cloudflare.com · Technology · NET

Ranked 19 of 2,047 companies in the study

50Overall score
  • Visibility40
  • Citations2
  • Sentiment87
  • Site quality80
  • AI readiness71
What this means for Cloudflare

AI assistants name Cloudflare in 33.3% of answers, more often than the typical company in the technology sector, which is named in 10% of answers. Cloudflare's overall score is 50 out of 100, ranking 19th of 2,047 companies. The website passes 9 out of 14 technical checks showing its readiness for AI tools.

We asked 15 unbranded questions about the technology market: none named Cloudflare. AI assistants named it in 20 of 60 answers (33.3%). The typical technology company is named in 10.0% of answers. By how often it is named, Cloudflare ranks 42 of 273 in its sector.

Named by AI in
33.3%
20 of 60 answers
Share of mentions
48.8%
compared with 5 rivals
AI readiness
9/14
technical checks passed. Typical for its sector: 4
Rank in its sector
6 of 273
by overall score, where the typical technology company scores 36
How Cloudflare compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
40

How often AI assistants name the company

Citations
2

How often AI uses the company's own website as a source

Sentiment
87

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
71

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with technology

273 companies in this sector. The line on each bar is the typical company.

Overall score50
Ranks 6 of 273. Typical company: 36
Named in answers33%
Ranks 42 of 273. Typical company: 10%
AI readiness71
Ranks 1 of 273. Typical company: 29
What OpenAI actually said

An answer that names the company

“Best solutions for protecting customer data in high-traffic ecommerce applications”

Below is a practical, prioritized set of solutions and patterns for protecting customer data in high‑traffic e‑commerce apps. I cover architecture, data handling, runtime protections, compliance, operational controls, and performance considerations so you can apply measures that scale.

High-level principles (apply everywhere)

Least privilege: grant the minimum access required at every layer (services, DB, keys, logs).

Defense in depth: multiple, independent controls so a single failure isn’t catastrophic.

Minimize & separate sensitive data: don’t collect or store more than you need; kee …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Akamai4Fastly4StackPath2
Share of mentions

How the mentions in these answers were split between this company and its rivals

Cloudflare
55.6%
Fastly
13.9%
Akamai
11.1%
Amazon CloudFront (AWS)
8.3%
StackPath
8.3%
Imperva
2.8%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
6/15
Gemini
5/15
Perplexity
5/15
Claude
4/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 4: Agent-integrated. At least one of an MCP card, A2A card, skills index or API catalog is published.

To reach level 5:
  • Web Bot Auth
  • 4 of MCP Server Card, A2A Agent Card, Agent Skills, API Catalog
  • 1 of OAuth discovery, OAuth Protected Resource, auth.md
Show every check, for your technical team
Discoverability
100 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersPassed

    HTTP Link headers on the homepage that point agents at machine readable resources.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
100 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    study: 1.9%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 25.1%
Bot access control
100 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    study: 93.4%
  • Content SignalsPassed

    Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
28 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardPartly met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsPartly met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 76 of 100 · 97% of checks could run · checked on October 5, 2026 · www.cloudflare.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

9 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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • PassedMarkdown content negotiationstudy: 8.3%
  • Passedllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • PassedExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • PassedMCP Server Cardstudy: 0.0%
  • PassedA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets rules for 6 AI crawlers by name. All others follow its general rules.

Training AI
  • GPTBot*allowed
  • ClaudeBotallowed
  • Anthropic-AI*allowed
  • Google-Extended*allowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBot*allowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBot*allowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-User*allowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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.

Websites the AI used as sources

How many times each website was listed as a source in these answers

aws.amazon.com
27
cloud.google.com
17
radware.com
13
digitalocean.com
13
northflank.com
12
cloudflare.com (its own website)
12
f5.com
12
paloaltonetworks.com
10
arxiv.org
10
docs.citrix.com
9

In the study as US-listed.

Every question, and where the company came up (9 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Best solutions for protecting customer data in high-traffic ecommerce applications
  • What are the differences between agent-powered and serverless application delivery networks?
  • How do you run serverless workloads at scale while maintaining low network latency?
  • Why might a cloud security solution not be blocking all types of web-based attacks?
  • Cheaper alternatives to enterprise-grade global application delivery networks
  • Is a unified cloud application platform worth the investment for a startup looking to scale quickly?
  • What are other ways to deliver agent-based applications without using a full-stack cloud platform?
  • Top cloud-based solutions for unified application delivery and security for businesses
  • What are the best platforms for building and scaling internet-facing applications without managing infrastructure?
  • What should I consider before choosing a platform to secure and accelerate my web applications?
  • Are there free options for basic DDoS protection for small businesses?
  • How can I troubleshoot high latency when using a global app delivery platform?
  • Alternatives to unified cloud application platforms for scaling and securing web workloads
  • How do edge application security platforms compare with traditional on-premises firewalls?
  • How do pricing tiers for cloud-based application security platforms typically work?
named the companyanswered without naming itdid not answer

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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