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Versona

shopversona.com · Retail

Ranked 1,768 of 2,047 companies in the study

26Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness36
What this means for Versona

AI assistants do not name Versona in any of their 60 answers. Its overall score is 26 out of 100, ranking 1,768th of 2,047 companies. The website passes 3 of 14 technical checks measuring how ready it is for AI tools.

We asked 15 unbranded questions about the retail market: none named Versona. AI assistants named it in none of 60 answers. The typical retail company is named in 6.7% of answers. By how often it is named, Versona ranks 503 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.

Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
522 of 640
by overall score, where the typical retail company scores 34
How Versona 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
0

How often AI assistants name the company

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
36

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 retail

640 companies in this sector. The line on each bar is the typical company.

Overall score26
Ranks 522 of 640. Typical company: 34
Named in answers0%
Ranks 503 of 640. Typical company: 7%
AI readiness36
Ranks 156 of 640. Typical company: 29
What Gemini actually said

The company is not named in this answer

“Where else can I find trendy and affordable accessories besides women’s boutiques?”

Beyond women's boutiques, you can discover trendy and affordable accessories in a variety of places, both online and in physical stores.

Department Stores & Retail Chains:

Target: Known for its stylish and affordable accessories, Target is a great place to find scarves, jewelry, and shoes. You can often find special savings by checking their app.

Macy's and Nordstrom: These department stores offer a wide selection of accessories, including handbags, watches, earrings, scarves, and belts.

T.J. Maxx, Ross, and Marshalls: These discount department stores are excellent …

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

Named instead
Lulus2
Share of mentions

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

Lulus
83.3%
Pink Lily
16.7%
Versona
0.0%
Altar'd State
0.0%
Francesca's
0.0%
Apricot Lane Boutique
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
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?

Not by itself. Versona 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 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
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    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
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.shopversona.com · 2,047 companies scanned

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

The checks behind the AI readiness score

3 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%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • 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%
What AI crawlers may read (robots.txt)

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.

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

justdial.com
17
reddit.com
16
magnoliaboutique.com
12
whowhatwear.com
11
garmentory.com
10
vogue.com
9
macys.com
8
alibaba.com
7
atly.com
7
lulus.com
6

In the study as US retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Is it worth paying more for unique boutique accessories versus mass-produced options?
  • Where else can I find trendy and affordable accessories besides women’s boutiques?
  • How often do boutique fashion retailers in the US run sales or offer discounts?
  • What options exist for discovering up-and-coming boutique-style clothing online?
  • What are good outfit ideas from boutiques for a spring wedding?
  • Where can I find stylish jewelry and accessories to match a modern wardrobe?
  • What are alternatives to shopping at women’s boutiques for unique fashion?
  • How can I tell if boutique jewelry is hypoallergenic before buying?
  • What should I do if a boutique clothing order doesn’t fit as expected?
  • How do boutique fashion retailers compare to mainstream department stores for women’s apparel?
  • What’s the difference between shopping at a boutique for women's fashion and shopping at fast fashion chains?
  • How can I accessorize a simple dress with boutique finds for a night out?
  • Are boutique women’s clothing stores good for finding high-quality, on-trend pieces?
  • What are the best boutique clothing stores for trendy women’s fashion in the US?
  • What is a typical price range for women’s boutique dresses and accessories in the US?
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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