
- Visibility17
- Citations0
- Sentiment100
- Site quality80
- AI readiness29
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.
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
“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.
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
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 teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapNot met
Serve an XML sitemap and reference it 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 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 discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceCould not check
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%WebMCPNot met
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 16 of 100 · 97% of checks could run · checked on October 4, 2026 · www.talbots.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- Not metXML 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%
- Not metExplicit 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 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.
- 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?
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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<a href="https://aeo-audit.rezolve.com/us/talbots.com"><img src="https://aeo-audit.rezolve.com/us/badges/talbots.com.svg" alt="Overall score 41 of 100, US AI Visibility Study 2026" width="280" height="64"></a>