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La Senza

lasenza.com · Retail

Ranked 511 of 2,047 companies in the study

39Overall score
  • Visibility4
  • Citations0
  • Sentiment100
  • Site quality73
  • AI readiness64
What this means for La Senza

AI assistants rarely name La Senza in their answers, mentioning the company in 2 of 60 answers. They also name ThirdLove, Savage X Fenty, and Adore Me in the same responses. La Senza has an overall score of 39 out of 100, which ranks 511th of 2,047 companies. The website passes 9 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the retail market: none named La Senza. AI assistants named it in 2 of 60 answers (3.3%). The typical retail company is named in 6.7% of answers. By how often it is named, La Senza ranks 392 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
3.3%
2 of 60 answers
Share of mentions
4.2%
compared with 5 rivals
AI readiness
9/14
technical checks passed. Typical for its sector: 3
Rank in its sector
156 of 640
by overall score, where the typical retail company scores 34
How La Senza 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
4

How often AI assistants name the company

Citations
0

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

Sentiment
100

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
64

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 score39
Ranks 156 of 640. Typical company: 34
Named in answers3%
Ranks 392 of 640. Typical company: 7%
AI readiness64
Ranks 9 of 640. Typical company: 29
What Gemini actually said

An answer that names the company

“How to find deals on quality bras and panties online?”

Finding deals on quality bras and panties online requires a bit of savvy shopping. Here's how you can find great pieces without breaking the bank:

1. Shop during sales and clearance events:

Seasonal Sales: Many retailers offer major markdowns during holidays and end-of-season transitions. Keep an eye out for sales events.

Clearance sections: Most online stores have a dedicated clearance or sale section where you can find heavily discounted items. These are often last-chance styles, so sizes and inventory might be limited.

Specific Sales: Look for promotion …

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

Also named
ThirdLove10Savage X Fenty3Adore Me2Victoria's Secret2
Share of mentions

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

ThirdLove
27.9%
Aerie (by American Eagle)
23.3%
Victoria's Secret
18.6%
Savage X Fenty
14.0%
Adore Me
11.6%
La Senza
4.7%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
Perplexity
1/15
Claude
0/15
OpenAI
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?

Yes. La Senza 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 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
50 of 100
  • Markdown negotiationNot met

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

    study: 1.9%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    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
27 of 100
  • API CatalogNot met

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

    study: 0.3%
  • OAuth discoveryPassed

    OpenID Connect or OAuth metadata agents can use to sign in.

    study: 11.8%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    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%
  • WebMCPPassed

    Tools registered in the browser through navigator.modelContext.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 45 of 100 · 100% of checks could run · checked on October 5, 2026 · www.lasenza.com · 2,047 companies scanned

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

The checks behind the AI readiness score

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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • PassedMarkdown content negotiationstudy: 8.3%
  • Passedllms.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%
  • 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%
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

reddit.com
19
thirdlove.com
16
victoriassecret.com
13
goodhousekeeping.com
11
theknot.com
11
cosmopolitan.com
9
amazon.com
8
macys.com
8
whowhatwear.com
7
brafinder.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 (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How to find deals on quality bras and panties online?
  • Options for wireless bras with good support
  • Alternatives to lace bras for sensitive skin
  • What can I do if my bra band rides up in the back?
  • Is it worth buying matching bra and panty sets?
  • How do you prevent discomfort from underwire bras?
  • Best types of lingerie for a romantic night in
  • Affordable alternatives to luxury lingerie brands
  • What type of bra is recommended for low-cut tops?
  • Differences between bodysuits and traditional lingerie sets
  • What are the most comfortable bras for everyday wear?
  • Best underwear options for wearing under tight dresses
  • Push up bras vs lightly lined bras: which offers more support?
  • Typical price range for women's lingerie in the US
  • Are premium lingerie sets worth the higher price?
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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