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Melissa & Doug

melissaanddoug.com · Consumer goods

Ranked 35 of 2,047 companies in the study

48Overall score
  • Visibility32
  • Citations1
  • Sentiment100
  • Site quality73
  • AI readiness64
What this means for Melissa & Doug

AI assistants name Melissa & Doug in 16.7% of answers, which is much more often than the typical company in its sector at 3.3%. It has an overall score of 48 out of 100, ranking 35th of 2,047 companies. The website passes 9 out of 14 technical checks that show how ready it is for AI tools.

We asked 15 unbranded questions about the consumer goods market: none named Melissa & Doug. AI assistants named it in 10 of 60 answers (16.7%). The typical consumer goods company is named in 3.3% of answers. By how often it is named, Melissa & Doug ranks 23 of 118 in its sector.

Named by AI in
16.7%
10 of 60 answers
Share of mentions
55.6%
compared with 5 rivals
AI readiness
9/14
technical checks passed. Typical for its sector: 3
Rank in its sector
4 of 118
by overall score, where the typical consumer goods company scores 30
How Melissa & Doug 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
32

How often AI assistants name the company

Citations
1

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

Sentiment
100

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
64

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 score48
Ranks 4 of 118. Typical company: 30
Named in answers17%
Ranks 23 of 118. Typical company: 3%
AI readiness64
Ranks 1 of 118. Typical company: 21
What Gemini actually said

An answer that names the company

“Popular screen-free toys for preschool-aged children in the US?”

For preschool-aged children in the U.S., a variety of screen-free toys promote creativity, problem-solving, and developmental skills. These toys encourage hands-on learning and imaginative play.

Popular screen-free toys for preschoolers include:

Building Toys Classic wooden blocks, LEGO DUPLO sets, and magnetic tiles (like Magna-Tiles or Magnimoo) are excellent for fostering creativity, fine motor skills, and spatial awareness.

Puzzles Age-appropriate puzzles, from simple wooden peg puzzles to more complex jigsaws, help develop concentration, problem-solving abilities, and pat …

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

Also named
PlanToys2Hape1
Share of mentions

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

Melissa & Doug
76.9%
PlanToys
15.4%
Hape
7.7%
Fat Brain Toys
0.0%
Manhattan Toy
0.0%
Melissa & Doug Competitors - Tender Leaf Toys
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
3/15
OpenAI
3/15
Gemini
2/15
Perplexity
2/15
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. Melissa & Doug 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 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
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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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
20 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%
  • 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 49 of 100 · 97% of checks could run · checked on October 5, 2026 · www.melissaanddoug.com · 2,047 companies scanned

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

The checks behind the AI readiness score

9 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%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • PassedMarkdown content negotiationstudy: 8.3%
  • Passedllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • PassedExplicit 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 rules for 1 AI crawler by name. All others follow its general rules.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBot*allowed
  • 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

amazon.com
21
reddit.com
11
target.com
11
today.com
9
melissaanddoug.com (its own website)
7
momjunction.com
6
robotimeonline.com
6
chalkacademy.com
6
staples.com
6
discountschoolsupply.com
6

In the study as Consumer brands.

Every question, and where the company came up (4 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Best gifts for children who love hands-on or pretend play?
  • Is it better to invest in open-ended playsets or themed toy kits for preschoolers?
  • Which types of wooden puzzles are most engaging for young children?
  • Popular screen-free toys for preschool-aged children in the US?
  • Alternatives to wooden toys for families seeking screen-free play options?
  • What can I do if a wooden puzzle piece gets stuck or won't fit?
  • Puzzle sets versus building blocks—what's better for developing fine motor skills?
  • How should wooden preschool toys be cleaned to keep them safe?
  • How do wooden preschool toys compare to electronic learning games?
  • What are the best wooden preschool toys that encourage imaginative play?
  • Wooden toys vs. plastic toys for preschoolers—what are the main differences?
  • Toys that help preschoolers learn shapes, colors, and numbers without screens?
  • Where can I find discounts on wooden puzzles for preschoolers in the US?
  • Typical price range for quality wooden toys for young children?
  • Are high-quality wooden puzzles for kids worth the extra money?
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 48 of 100 badge for Melissa & Doug

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<a href="https://aeo-audit.rezolve.com/us/melissaanddoug.com"><img src="https://aeo-audit.rezolve.com/us/badges/melissaanddoug.com.svg" alt="Overall score 48 of 100, US AI Visibility Study 2026" width="280" height="64"></a>
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