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Mondelez International

mondelezinternational.com · Consumer goods · MDLZ

Ranked 1,602 of 2,047 companies in the study

27Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality87
  • AI readiness21
What this means for Mondelez International

AI assistants do not name Mondelez International in any of their 60 answers. Its overall score is 27 out of 100, ranking 1,602nd of 2,047 companies, compared with 30 for the typical company in its sector. The website passes 3 out of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the consumer goods market: none named Mondelez International. AI assistants named it in none of 60 answers. The typical consumer goods company is named in 3.3% of answers. By how often it is named, Mondelez International ranks 77 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.

Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
75 of 118
by overall score, where the typical consumer goods company scores 30
How Mondelez International 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
0

How often AI assistants name the company

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
21

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 score27
Ranks 75 of 118. Typical company: 30
Named in answers0%
Ranks 77 of 118. Typical company: 3%
AI readiness21
Ranks 53 of 118. Typical company: 21
What Gemini actually said

The company is not named in this answer

“Average price range for popular packaged snacks in the US?”

The average price range for popular packaged snacks in the US can vary significantly depending on the type of snack, brand, and where it's purchased. However, here's a general idea based on recent information:

General Price Points:

Many popular individual snack items, like a standard bag of potato chips or a can of Pringles, often fall in the $2.00 - $4.00 range in typical grocery stores. For example, an 8oz bag of Lay's Classic Potato Chips is around $2.97 at Walmart. Pringles are often priced similarly, with a 5.2 oz canister around $2.38.

Larger bags or "party size" options …

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

Share of mentions

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

PepsiCo (Frito-Lay)
100.0%
Mondelez International
0.0%
Kellogg Company (Kellanova)
0.0%
Campbell Soup Company (Campbell Snacks)
0.0%
General Mills
0.0%
Mars, Incorporated
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
0/15
Perplexity
0/15
Claude
0/15
OpenAI
0/15
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
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
0 of 100
  • Markdown negotiationNot met

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

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

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

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

The checks behind the AI readiness score

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 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%
  • Not metllms.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

target.com
23
facebook.com
9
tastingtable.com
9
justdial.com
9
healthline.com
8
pmc.ncbi.nlm.nih.gov
8
alibaba.com
7
amazon.com
7
reddit.com
7
businessinsider.com
6

In the study as S&P 500.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Popular savory snack options for office sharing?
  • Difference between packaged cookies and crackers as snacks?
  • What are good snack choices for people with nut allergies?
  • How do grocery store prices for snack foods compare to convenience store prices?
  • Are premium snack foods worth the higher price compared to budget options?
  • What non-dairy snacks are available for people with lactose intolerance?
  • What are healthier alternatives to traditional potato chips?
  • Is buying family-size snack packs more cost-effective than individual servings?
  • What should I do if my snack food arrives stale or damaged?
  • Best snacks for adding to kids’ lunchboxes?
  • Are there any plant-based snack food options for vegans?
  • What are the best snack foods for road trips in the US?
  • Average price range for popular packaged snacks in the US?
  • How do sweet snacks compare to salty snacks in terms of health benefits?
  • How can I keep my snacks fresh for longer after opening?
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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