- Visibility29
- Citations2
- Sentiment87
- Site quality87
- AI readiness64
AI assistants name ModCloth in 25% of answers, which is much higher than the typical company in the retail sector at 6.7%. ModCloth's overall score is 47 out of 100, ranking 56th of 2,047 companies studied. Its website passes 9 of 14 technical checks showing some readiness for AI tools.
We asked 15 unbranded questions about the retail market: none named ModCloth. AI assistants named it in 15 of 60 answers (25.0%). The typical retail company is named in 6.7% of answers. By how often it is named, ModCloth ranks 116 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
“How much should I expect to pay for quality vintage-style dresses in the US?”
I'll search for information about vintage-style dress prices in the US.Based on the search results, here's what you can expect to pay for quality vintage-style dresses in the US:
General Price Range:
Vintage-inspired dresses are available under $200, with many options falling in the $50-$150 range. For example, ModCloth offers vintage-style dresses at regular prices around $109, and Unique Vintage has pieces like their Black & Lace Gloria Midi Dress at $110.
Budget-Friendly Options:
If you're shopping for vintage-inspired pieces from retailers like SimpleRetro or other similar shops, …
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. ModCloth 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 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.txtPartly met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- 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 discoveryPassed
OpenID Connect or OAuth metadata agents can use to sign in.
- study: 10.3%OAuth Protected ResourcePassed
Metadata telling agents which authorization server to use.
- 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%WebMCPPassed
Tools registered in the browser through navigator.modelContext.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 39 of 100 · 100% of checks could run · checked on October 5, 2026 · modcloth.com · 2,047 companies scanned
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 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%
- Not metExplicit AI bot rulesstudy: 13.0%
- 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%
- PassedWebMCP toolsstudy: 4.2%
- Not metAgent Skills declaredstudy: 0.0%
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.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- 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.
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.
- Is it worth paying extra for extended size options in retro fashion brands?
- What are some alternatives to shopping online for retro-style women's clothing?
- How much should I expect to pay for quality vintage-style dresses in the US?
- Where can I find budget-friendly options for vintage-inspired plus-size fashion?
- Where can I find size-inclusive vintage-inspired dresses in the US?
- Best places to shop for unique retro-style women's clothing online
- What are the most popular patterns and prints in retro-inspired women's fashion right now?
- How do you care for delicate fabrics often found in retro-style women's apparel?
- Are vintage-style accessories a good investment for updating your wardrobe?
- What can I do if the fit of my vintage-inspired dress isn't quite right?
- Are vintage-inspired accessories typically more affordable than apparel in this category?
- How does vintage-inspired apparel compare to true vintage clothing in terms of fit and comfort?
- What are some unique ways to style retro-inspired tops for work outfits?
- 1950s-inspired clothing vs 1970s-inspired clothing: what are the key style differences?
- How can plus-size shoppers create a complete vintage-inspired look for a special event?
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.
A badge of this result that you can show on your own website. Copy the code below.
<a href="https://aeo-audit.rezolve.com/us/modcloth.com"><img src="https://aeo-audit.rezolve.com/us/badges/modcloth.com.svg" alt="Overall score 47 of 100, US AI Visibility Study 2026" width="280" height="64"></a>