- Visibility36
- Citations2
- Sentiment72
- Site quality80
- AI readiness29
AI assistants name US Foods in 40% of answers, which is much more often than the typical company in the consumer goods sector. Its overall score is 42 out of 100, ranking 216th of 2,047 companies. The website passes 4 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the consumer goods market: none named US Foods. AI assistants named it in 24 of 60 answers (40.0%). The typical consumer goods company is named in 3.3% of answers. By how often it is named, US Foods ranks 5 of 118 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.
118 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Are direct-from-farm sourcing or farmers markets good substitutes for restaurant supply companies?”
Direct-from-farm sourcing and farmers' markets can be excellent complements to, or even partial substitutes for, traditional restaurant supply companies, especially for restaurants prioritizing fresh, local, and seasonal ingredients. However, each approach comes with its own set of benefits and challenges.
Direct-from-Farm Sourcing
Benefits:
Superior Freshness and Quality: Ingredients are often harvested at their peak and delivered quickly, leading to better flavor and nutritional value. This also means a longer shelf life in the restaurant's walk-in.
Seasonal Menu Flex …
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.txtPassed
An llms.txt that tells language models what the site offers.
- 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%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 36 of 100 · 97% of checks could run · checked on October 5, 2026 · www.usfoods.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%
- Passedllms.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%
This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- 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 Consumer brands.
- Are direct-from-farm sourcing or farmers markets good substitutes for restaurant supply companies?
- What should restaurants look for in a foodservice supplier contract?
- What are the best foodservice distributors for independent restaurants in the US?
- What can I do if my foodservice distributor misses a delivery?
- Restaurant supply warehouse vs traditional foodservice distributor: which is better for small restaurants?
- Where can restaurants get wholesale kitchen supplies outside of typical foodservice distributors?
- How do foodservice distributor prices compare to cash-and-carry suppliers in the US?
- Is it worth partnering with a full-service food distributor for a new restaurant?
- Best distributors for restaurants needing specialty or allergen-free ingredients
- What are typical delivery fees and minimum order requirements for bulk restaurant supply orders?
- Which food distributors cater to high-volume foodservice operations like hotels or hospitals?
- Alternatives to traditional foodservice distribution for sourcing restaurant ingredients
- How does a national food distributor compare to local specialty suppliers for fresh ingredients?
- How to handle receiving damaged goods from a food distributor
- Top restaurant supply companies with a wide selection of produce and proteins
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/usfoods.com"><img src="https://aeo-audit.rezolve.com/us/badges/usfoods.com.svg" alt="Overall score 42 of 100, US AI Visibility Study 2026" width="280" height="64"></a>