- Visibility9
- Citations1
- Sentiment83
- Site quality80
- AI readiness43
AI assistants name Gymboree in 8.3% of answers, a bit more often than the typical company in the retail sector. Its overall score is 37 out of 100, ranking 664th of 2,047 companies. The website passes 6 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the retail market: none named Gymboree. AI assistants named it in 5 of 60 answers (8.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Gymboree ranks 279 of 640 in its sector.
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.
640 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Where can I find high-quality coordinating outfits for toddlers in the US?”
For high-quality coordinating outfits for toddlers in the US, you have several excellent options, ranging from boutique styles to well-known brands that offer both comfort and style.
Here are some places to consider:
Boutique and Specialty Stores:
Little English: This brand offers delightful sets for girls, made from soft, high-quality fabrics with charming, timeless details. They carry sizes from 3M to 4T and have options like smocked bishop bloomer sets and ruffled bloomer sets.
Mud Pie: Known for its boutique-inspired baby and toddler clothing, Mud Pie features thought …
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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.
- Markdown negotiation
Not by itself. Gymboree publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.
- UCPNot present
- ACPNot present
- AP2Not present
- x402Not present
- MPPNot present
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.txtPassed
An llms.txt that tells language models what the site offers.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- study: 1.4%Content SignalsPassed
Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.
- 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%WebMCPCould not check
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 51 of 100 · 97% of checks could run · checked on October 5, 2026 · www.gymboree.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- PassedExplicit 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 rules for 10 AI crawlers by name. All others follow its general rules.
- GPTBot*allowed
- ClaudeBot*allowed
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgent*allowed
- FacebookBotpartly
- Bytespider*allowed
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*allowed
- Claude-SearchBotpartly
- PerplexityBot*allowed
- Applebot*allowed
- Amazonbot*allowed
- YouBot*allowed
- ChatGPT-User*allowed
- 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.
How many times each website was listed as a source in these answers
In the study as Consumer brands.
- Which styles of baby clothes are easiest for diaper changes and everyday wear?
- Is it worth paying more for matching sets for siblings?
- What options are there for sustainable or eco-friendly kids’ clothing in the US?
- How does cotton compare to polyester for kids play clothes durability?
- Are curated outfit bundles for kids really a good value for money?
- How can I save money on coordinated kids’ apparel without sacrificing quality?
- Where can I find high-quality coordinating outfits for toddlers in the US?
- What can I do if the kids’ clothes I bought pill or lose shape quickly?
- What type of kids’ pajamas are best for year-round comfort in the US?
- What’s a typical price range for high-quality children’s outfits in the US?
- What’s the difference between hand-me-down quality and fast fashion in children’s clothing?
- What are the best places to buy timeless baby clothes for newborns and infants?
- How do you deal with shrinking or fading in toddler clothing after washing?
- What are some alternatives to shopping at large chain stores for baby and toddler clothes?
- Where else can I find coordinating children’s outfits for family events?
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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<a href="https://aeo-audit.rezolve.com/us/gymboree.com"><img src="https://aeo-audit.rezolve.com/us/badges/gymboree.com.svg" alt="Overall score 37 of 100, US AI Visibility Study 2026" width="280" height="64"></a>