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Mattel

mattel.com · Consumer goods · MAT

Ranked 606 of 2,047 companies in the study

38Overall score
  • Visibility3
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness43
What this means for Mattel

AI assistants rarely name Mattel: they mention the company in 1 out of 60 answers. LEGO is also named in the same answer. Mattel's overall score is 38 out of 100, ranking 606th of 2,047 companies. The website passes 6 of 14 technical checks on how ready it is for AI tools.

We asked 15 unbranded questions about the consumer goods market: none named Mattel. AI assistants named it in 1 of 60 answers (1.7%). The typical consumer goods company is named in 3.3% of answers. By how often it is named, Mattel ranks 63 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
1.7%
1 of 60 answers
Share of mentions
5.0%
compared with 5 rivals
AI readiness
6/14
technical checks passed. Typical for its sector: 3
Rank in its sector
20 of 118
by overall score, where the typical consumer goods company scores 30
How Mattel 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
3

How often AI assistants name the company

Citations
0

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

Sentiment
100

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
43

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 score38
Ranks 20 of 118. Typical company: 30
Named in answers2%
Ranks 63 of 118. Typical company: 3%
AI readiness43
Ranks 9 of 118. Typical company: 21
What Gemini actually said

An answer that names the company

“What factors affect the cost of collectibles and limited-edition toy releases?”

The cost of collectibles and limited-edition toy releases is influenced by several key factors:

Rarity and Production Runs The fewer units produced, the rarer an item is, which often translates to a higher value. Limited production runs create scarcity, driving up demand and prices. Toys produced in limited batches or for special events tend to appreciate faster than mass-market items. Scarcity is considered the most reliable driver of value in collectibles.

Demand and Popularity Rarity alone isn't enough; there must also be significant demand from collectors. Demand can be i …

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

Also named
LEGO10
Share of mentions

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

LEGO
86.7%
Mattel
6.7%
Hasbro
6.7%
Spin Master
0.0%
Jakks Pacific
0.0%
Moose Toys
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
Claude
0/15
OpenAI
0/15
Perplexity
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
Can an AI agent buy here?

Yes. Mattel publishes a UCP profile, a file that tells an AI agent how to buy, and it includes checkout.

  • UCPPublished
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present

The page also offers an agent tools inside the browser: add to cart, proceed to checkout, update cart lines.

The shop runs on Shopify.

Show every check, for your technical team
Discoverability
77 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 DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

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

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

    study: 1.9%
  • llms.txtPartly 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
27 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryPassed

    OpenID Connect or OAuth metadata agents can use to sign in.

    study: 11.8%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    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%
  • WebMCPPassed

    Tools registered in the browser through navigator.modelContext.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 39 of 100 · 100% of checks could run · checked on October 3, 2026 · shopping.mattel.com · 2,047 companies scanned

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

The checks behind the AI readiness score

6 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%
  • PassedOAuth Authorization Server discoverystudy: 10.1%
  • PassedOAuth 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
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • 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.

Websites the AI used as sources

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

justdial.com
20
goodhousekeeping.com
11
amazon.com
10
target.com
7
nymag.com
5
momjunction.com
5
nytimes.com
5
reddit.com
4
forbes.com
4
discountschoolsupply.com
4

In the study as US-listed.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Best educational playsets for toddlers to build motor skills?
  • Wooden toys vs plastic toys for preschoolers—which is better for learning?
  • What are the most popular children's toys for sparking creativity in early childhood?
  • Top family-friendly games suitable for mixed-age groups?
  • Which types of action figures are best for promoting storytelling among children?
  • Are premium playsets for children worth the higher price compared to standard options?
  • What can you do if a battery-powered toy stops working suddenly?
  • Typical price range for high-quality preschool toys in the United States?
  • Ride-on vehicles vs building sets for encouraging imaginative play in kids?
  • What factors affect the cost of collectibles and limited-edition toy releases?
  • What are some non-traditional outdoor toys for keeping children active?
  • How can family board games support social skills development in kids?
  • Alternatives to classic dolls for role-playing activities?
  • Is it a good idea to invest in STEM-focused toys for a 5-year-old?
  • How do you safely clean interactive dolls and plush toys?
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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