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Cargill

cargill.com · Consumer goods

Ranked 493 of 2,047 companies in the study

39Overall score
  • Visibility18
  • Citations1
  • Sentiment83
  • Site quality80
  • AI readiness36
What this means for Cargill

AI assistants name Cargill in 10% of answers, more often than the typical company in consumer goods, which is named in 3.3% of answers. Its overall score is 39 out of 100, ranking 493rd 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 Cargill. AI assistants named it in 6 of 60 answers (10.0%). The typical consumer goods company is named in 3.3% of answers. By how often it is named, Cargill ranks 36 of 118 in its sector.

Named by AI in
10.0%
6 of 60 answers
Share of mentions
30.0%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
17 of 118
by overall score, where the typical consumer goods company scores 30
How Cargill 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
18

How often AI assistants name the company

Citations
1

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

Sentiment
83

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
36

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 consumer goods

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

Overall score39
Ranks 17 of 118. Typical company: 30
Named in answers10%
Ranks 36 of 118. Typical company: 3%
AI readiness36
Ranks 13 of 118. Typical company: 21
What Claude actually said

An answer that names the company

“Alternatives to large-scale distributor partnerships for sourcing food-grade agricultural products”

I'll search for current information about alternatives to large-scale distributor partnerships for sourcing food-grade agricultural products.Based on current research and industry trends, here are the main alternatives to large-scale distributor partnerships for sourcing food-grade agricultural products:

Food Aggregation & Hubs

Food hubs provide producers an entry into markets that will provide income and opportunities for scaling up their production by aggregating distribution and marketing channels. The number of local food aggregators, known as regional food hubs, increased by 288 perc …

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

Also named
Bunge3Ingredion2
Share of mentions

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

Cargill
40.0%
ADM (Archer Daniels Midland)
26.7%
Bunge
20.0%
Ingredion
13.3%
Tyson Foods
0.0%
Olam Agri (Olam Group)
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
3/15
Gemini
1/15
Perplexity
1/15
OpenAI
1/15
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • 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 team
Discoverability
80 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 headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

    study: 5.5%
Content accessibility
50 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtPassed

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

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    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
0 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 CardNot 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 SkillsNot 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 38 of 100 · 97% of checks could run · checked on October 5, 2026 · www.cargill.com · 2,047 companies scanned

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

The checks behind the AI readiness score

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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Passedllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit 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%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A 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 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.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • 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.

Websites the AI used as sources

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

pmc.ncbi.nlm.nih.gov
15
justdial.com
15
ams.usda.gov
12
foodnavigator.com
12
petfoodingredientsuppliers.us.com
10
fao.org
10
frontiersin.org
8
localline.co
8
en.wikipedia.org
7
weforum.org
7

In the study as Large private companies.

Every question, and where the company came up (3 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Average costs of food supply chain management services for medium-sized businesses
  • How can agricultural producers support decarbonization across the food supply chain?
  • Differences between commodity trading services and contract farming in agriculture supply chains
  • What are the best sustainable food supply chain solutions for reducing environmental impact?
  • How to solve common bottlenecks in agricultural logistics for US-based food producers
  • Alternatives to large-scale distributor partnerships for sourcing food-grade agricultural products
  • Top agricultural supply partners for supporting food manufacturers in the US
  • How does integrated food ingredient sourcing compare to using multiple specialized suppliers?
  • Are food supply chain management services worth it for mid-sized food manufacturers?
  • Is it beneficial for farmers to partner with large food supply networks?
  • Ways food manufacturers can improve supply chain resilience during weather disruptions
  • Best alternatives to traditional food supply chain models for local agribusinesses
  • Options for food manufacturers seeking local or regional ingredient suppliers instead of global networks
  • What factors affect the pricing of bulk food ingredients in the US market?
  • What should I do if my food ingredients order is persistently delayed at the distributor level?
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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Overall score 39 of 100 badge for Cargill

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