- Visibility22
- Citations3
- Sentiment71
- Site quality73
- AI readiness50
AI assistants name Once Upon A Child in 21.7% of answers, which is more often than the typical company in the retail sector. Its overall score is 39 out of 100, ranking 461st of 2,047 companies. The website passes 7 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the retail market: none named Once Upon A Child. AI assistants named it in 13 of 60 answers (21.7%). The typical retail company is named in 6.7% of answers. By how often it is named, Once Upon A Child ranks 138 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
“Differences between consignment, thrift, and resale stores for children's items”
While all three offer second-hand children's items, the key differences between consignment, thrift, and resale stores lie in how they acquire their inventory and how the original owner is compensated.
Consignment Stores:
How they acquire items: Consignment stores sell items on behalf of the original owner. When an item sells, the original owner receives a percentage of the sale price, and the store keeps the rest.
Quality of items: Consignment shops tend to be more selective about the items they accept, often looking for higher-quality, gently used, or even new items, so …
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
Yes. Once Upon A Child 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 BigCommerce.
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 negotiationPassed
Requests sent with Accept: text/markdown receive a markdown version of the page.
- 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 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%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 54 of 100 · 97% of checks could run · checked on October 5, 2026 · onceuponachild.com · 2,047 companies scanned
7 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%
- PassedMarkdown 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 17 AI crawlers by name. All others follow its general rules.
- GPTBot*partly
- ClaudeBot*partly
- Anthropic-AI*partly
- Google-Extended*partly
- Applebot-Extended*partly
- Meta-ExternalAgent*partly
- FacebookBot*partly
- Bytespider*partly
- CCBot*partly
- Diffbot*partly
- Omgilibot*partly
- OAI-SearchBot*partly
- Claude-SearchBotpartly
- PerplexityBot*partly
- Applebot*partly
- Amazonbot*partly
- YouBot*partly
- ChatGPT-User*partly
- 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 US retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.
- Alternatives to physical resale shops for buying used children's items online
- Best ways to save on back-to-school shopping for children
- What to do if used children's clothing has minor stains or wear?
- Is it worth buying secondhand children's shoes for my toddler?
- Differences between consignment, thrift, and resale stores for children's items
- How to build an affordable seasonal wardrobe for kids using resale shops
- How to check if a secondhand stroller meets current safety standards
- Typical price range for gently used baby items in US resale stores
- Where can I get affordable secondhand baby gear nearby?
- Buying secondhand children's apparel vs. new: pros and cons
- Is it better to sell outgrown baby gear at a resale shop or through local classified ads?
- How to know if used baby clothes are safe to buy
- Top tips for shopping secondhand kids' toys safely
- How much can I expect to get for selling kids' clothes at a secondhand retailer?
- Best places to find gently used children's clothing in the US
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/onceuponachild.com"><img src="https://aeo-audit.rezolve.com/us/badges/onceuponachild.com.svg" alt="Overall score 39 of 100, US AI Visibility Study 2026" width="280" height="64"></a>