- Visibility14
- Citations0
- Sentiment100
- Site quality80
- AI readiness29
AI assistants name C.H. Robinson in 5% of answers, which is about the same as the typical company in its sector. Its overall score is 40 out of 100, ranking 427th of 2,047 companies. The company's website passes 4 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the industrial market: none named C.H. Robinson. AI assistants named it in 3 of 60 answers (5.0%). The typical industrial company is named in 5.0% of answers. By how often it is named, C.H. Robinson ranks 116 of 246 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.
246 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the best third-party logistics providers for enterprises looking to optimize global supply chains?”
I'll search for current information about the best third-party logistics (3PL) providers for enterprise global supply chain optimization.Let me search for more specific information about enterprise-focused 3PL providers for global supply chain optimization.Based on current market information, here are the best third-party logistics providers for enterprises looking to optimize global supply chains:
Leading Global Enterprise 3PL Providers
DHL Supply Chain
DHL Supply Chain is a top-ranked logistics company in the world that provides supply chain solutions to multinational enterprises th …
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
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 rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- 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 31 of 100 · 100% of checks could run · checked on October 3, 2026 · www.chrobinson.com · 2,047 companies scanned
4 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%
- 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%
- 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 18 AI crawlers by name. All others follow its general rules.
- GPTBot*allowed
- ClaudeBot*allowed
- Anthropic-AI*allowed
- Google-Extendedblocked
- Applebot-Extended*allowed
- Meta-ExternalAgent*allowed
- FacebookBot*allowed
- Bytespider*allowed
- CCBot*allowed
- Diffbot*allowed
- Omgilibotblocked
- OAI-SearchBot*allowed
- Claude-SearchBotblocked
- PerplexityBot*allowed
- Applebot*allowed
- Amazonbot*allowed
- YouBot*allowed
- ChatGPT-User*allowed
- Claude-Userblocked
- Perplexity-User*allowed
- DuckAssistBot*allowed
- MistralAI-User*allowed
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 S&P 500.
- What are the main differences between using a consultancy-based supply chain partner versus an automated logistics platform?
- Do advanced 3PL solutions deliver enough value to justify higher costs for enterprise shippers?
- How does traditional third-party logistics compare to AI-driven supply chain management for large businesses?
- Why might a supply chain not be optimizing delivery routes as expected with a 3PL partner?
- Which AI-powered supply chain management solutions are most effective for reducing operational costs?
- Which supply chain management solutions offer real-time visibility and self-healing capabilities?
- How do freight forwarding fees typically compare to end-to-end supply chain optimization services?
- Is investing in an AI-enabled third-party logistics service worth it for mid-sized companies expanding internationally?
- What pricing tiers are common for third-party logistics and AI-powered supply chain services in the US market?
- What are the best third-party logistics providers for enterprises looking to optimize global supply chains?
- How can delays in global freight shipments be resolved when using technology-driven logistics providers?
- Are there non-traditional methods for optimizing complex global logistics besides outsourcing to a 3PL?
- What are typical use cases for deploying AI in supply chain management for the retail sector?
- What alternatives exist to third-party logistics for companies wanting more in-house control over their supply chains?
- How do enterprises leverage third-party logistics for seasonal surges in demand?
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/chrobinson.com"><img src="https://aeo-audit.rezolve.com/us/badges/chrobinson.com.svg" alt="Overall score 40 of 100, US AI Visibility Study 2026" width="280" height="64"></a>