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Talbots

talbots.com · Retail

Ranked 349 of 2,047 companies in the study

41Overall score
  • Visibility17
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness29
What this means for Talbots

AI assistants name Talbots in 8.3% of answers, slightly more often than the typical company in the retail sector. Its overall score is 41 out of 100, ranking it 349th of 2,047 companies. The Talbots website passes 2 of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the retail market: none named Talbots. AI assistants named it in 5 of 60 answers (8.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Talbots ranks 279 of 640 in its sector.

Named by AI in
8.3%
5 of 60 answers
Share of mentions
29.4%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
96 of 640
by overall score, where the typical retail company scores 34
How Talbots 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
17

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
80

How well built the website's own pages are

AI readiness
29

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 score41
Ranks 96 of 640. Typical company: 34
Named in answers8%
Ranks 279 of 640. Typical company: 7%
AI readiness29
Ranks 222 of 640. Typical company: 29
What Claude actually said

An answer that names the company

“Best places to shop for modern women’s apparel with inclusive sizing in the US”

Here are some of the best places to shop for modern women's apparel with inclusive sizing in the US:

Department Stores & Traditional Retailers

J.Crew offers size-inclusive clothing with almost all products available in a vast range of sizing, and carries sizes up to 3XL (equivalent to a 24) with many pieces available in tall and petite.

J.Jill offers its entire collection in sizes 2-28 with petites 00P-18P and talls 4T-18T, and features comfortable yet stylish attire including jeans and boho-inspired pieces.

Talbots is one of the most size-inclusive brands, offering Misses t …

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

Also named
Ann Taylor3J.Jill1Lands' End1
Share of mentions

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

Talbots
41.7%
Ann Taylor
25.0%
Lands' End
25.0%
J.Jill
8.3%
Chico's
0.0%
LOFT
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
2/15
Gemini
1/15
OpenAI
1/15
Perplexity
1/15
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent buy here?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

  • UCPNot present
  • ACPCould not check
  • AP2Not present
  • x402Not present
  • MPPCould not check

The shop runs on Salesforce Commerce Cloud.

Show every check, for your technical team
Discoverability
41 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapNot met

    Serve an XML sitemap and reference it 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 ResourceCould not check

    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%
  • WebMCPNot met

    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 16 of 100 · 97% of checks could run · checked on October 4, 2026 · www.talbots.com · 2,047 companies scanned

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

The checks behind the AI readiness score

2 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%
  • Not metXML 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
31
businessinsider.com
27
reddit.com
18
macys.com
16
youtube.com
13
whowhatwear.com
13
bloomingdales.com
9
us.headtopics.com
8
corporette.com
8
forbes.com
7

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
  • Typical price range for modern classic women’s clothing in US stores
  • Alternatives to classic women’s cardigans for layering in professional outfits
  • Do women's apparel retailers usually offer discounts on full-price sweaters during seasonal sales?
  • How can I prevent pilling on knit sweaters from everyday women’s apparel brands?
  • Best places to shop for modern women’s apparel with inclusive sizing in the US
  • Where can I find stylish classic women's clothing in petite and plus sizes?
  • What are some substitute wardrobe staples for modern classic trousers?
  • Best classic women’s clothing options for a business casual office environment
  • Petite vs plus size fits in traditional women’s apparel – what are the main differences?
  • Is it worth investing in higher-end classic women's blazers for workwear?
  • Affordable alternatives to traditional women’s sheath dresses for formal events
  • Are modern classic dresses a good option for a versatile wardrobe?
  • How does modern classic women's clothing compare to contemporary styles for work outfits?
  • What type of outerwear best matches a classic dress style for chilly weather?
  • What to do if classic cut women's pants don't fit correctly at the waist?
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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Overall score 41 of 100 badge for Talbots

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