- Visibility8
- Citations22
- Sentiment100
- Site quality73
- AI readiness29
AI assistants rarely name V.I.M., with only 1 of 60 answers including the company. Its overall score is 41 out of 100, which ranks 360th of 2,047 overall and 96th of 640 in retail. The company's website passes 4 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the retail market: none named V.I.M. AI assistants named it in 1 of 60 answers (1.7%). The typical retail company is named in 6.7% of answers. By how often it is named, V.I.M. ranks 431 of 640 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.
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 affordable trendy jeans and sneakers for the whole family in urban areas?”
If you’re looking for affordable, trendy jeans and sneakers for the whole family in urban areas, V.I.M. is one of the clearest matches in the results. It’s described as a long-running retailer with multiple city locations and a strong focus on jeans, sneakers, apparel, and accessories for men, women, and kids at affordable prices.
Some urban V.I.M. locations mentioned in the results include Brooklyn, the Bronx, Queens, and Jamaica in New York City.
If you want other budget-friendly places for jeans, the results also point to Old Navy, …
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
Not by itself. V.I.M. 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.txtNot met
Publish an llms.txt with a short summary and the key links.
- 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 32 of 100 · 97% of checks could run · checked on October 5, 2026 · www.vim.com · 2,047 companies scanned
4 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%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.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 13 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
- Diffbotpartly
- Omgilibot*partly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbot*partly
- YouBot*partly
- ChatGPT-Userpartly
- Claude-Userpartly
- Perplexity-Userpartly
- DuckAssistBot*partly
- 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.
- How to style urban family outfits for back-to-school shopping on a budget
- Are urban family apparel retailers cheaper than outlet malls?
- What should I do if sneakers I bought at a discount urban retailer don't fit right?
- Is it worth buying off-price urban footwear for kids and teens?
- Most popular uses for affordable urban accessories for families in city environments
- Alternatives to shopping at urban-focused family fashion stores in major U.S. cities
- Best places for value-conscious families to shop for urban fashion in the U.S.
- How do urban family apparel stores compare to department stores for price and selection?
- Where else can I shop for affordable city-inspired footwear besides specialty urban retailers?
- Do urban lifestyle apparel shops offer good quality at lower prices?
- How can I tell if trendy family jeans are genuine or lower quality in off-price stores?
- Where can I find affordable trendy jeans and sneakers for the whole family in urban areas?
- Urban outfitters vs big-box retailers: which is better for trendy kids’ apparel?
- What price range should I expect for trendy urban jeans at value-focused stores?
- Best substitutes for value-priced urban family clothing shops in the U.S.
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.