Coca-Cola FEMSA
coca-colafemsa.com · Consumer goods · KOF
Ranked 1,320 of 2,047 companies in the study
- Visibility7
- Citations0
- Sentiment50
- Site quality87
- AI readiness21
AI assistants rarely name Coca-Cola FEMSA, mentioning it in 2 out of 60 answers. Its overall score is 29 out of 100, ranking 1,320th of 2,047 companies. The company's website passes 3 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the consumer goods market: none named Coca-Cola FEMSA. AI assistants named it in 2 of 60 answers (3.3%). The typical consumer goods company is named in 3.3% of answers. By how often it is named, Coca-Cola FEMSA ranks 56 of 118 in its sector.
Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.
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
“What are the top beverage bottling and distribution companies in Latin America?”
Based on the search results, here are the top beverage bottling and distribution companies in Latin America:
Major Players
Coca-Cola FEMSA (KOF)
FEMSA operates the largest independent Coca-Cola bottling group in the world, and it has an extensive production footprint across Latin America, operating in 10 countries: Mexico, Brazil, Guatemala, Colombia, Argentina, Costa Rica, Nicaragua, Panama, Uruguay, and Venezuela, with 56 manufacturing plants and over 250 distribution centers.
Arca Continental
Arca Continental is a Mexican multinational company that produces, distributes and ma …
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 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 4, 2026 · coca-colafemsa.com · 2,047 companies scanned
3 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%
- 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.
- GPTBotallowed
- ClaudeBotallowed
- Anthropic-AIallowed
- Google-Extendedallowed
- Applebot-Extendedallowed
- Meta-ExternalAgentallowed
- FacebookBotallowed
- Bytespiderallowed
- CCBotallowed
- Diffbotallowed
- Omgilibotallowed
- OAI-SearchBotallowed
- Claude-SearchBotallowed
- PerplexityBotallowed
- Applebotallowed
- Amazonbotallowed
- YouBotallowed
- ChatGPT-Userallowed
- 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.
How many times each website was listed as a source in these answers
In the study as Consumer brands.
- Typical pricing structures for beverage bottling and distribution services in the US
- How does independent beverage bottling compare to franchise bottling models?
- Differences between large-scale beverage distributors and regional bottlers
- How can bottling plants reduce water and energy consumption effectively?
- Common logistical challenges for beverage distributors expanding in Latin America
- Is investing in beverage bottling companies worth it for long-term growth?
- Alternative supply chain strategies for beverage manufacturers in Latin America
- What are other options besides direct distribution for getting beverages to market?
- What should investors look for in a leading beverage distribution company?
- What are the top beverage bottling and distribution companies in Latin America?
- How do beverage bottlers help build sustainable value chains for their business partners?
- Best practices for sustainable beverage bottling operations
- Ways beverage distributors support retailers with inventory management
- Alternatives to traditional beverage bottling for small soft drink brands
- How does the cost per case compare between outsourced bottling and in-house production?
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.