- Visibility0
- Citations0
- Sentiment50
- Site quality73
- AI readiness57
AI assistants do not name Tuesday Morning in any of their 60 answers. Its overall score is 28 out of 100, ranking 1,507th of 2,047 studied companies. The website passes 8 of 14 technical checks, showing how ready it is for AI tools.
We asked 15 unbranded questions about the retail market: none named Tuesday Morning. 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, Tuesday Morning 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.
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.
The company is not named in this answer
“Why do off-price home goods stores sometimes have limited stock”
Off-price home goods stores sometimes have limited stock because they buy opportunistically rather than ordering a fixed assortment far in advance. They rely on overstock, canceled orders, closeouts, and excess seasonal inventory, which usually comes in small, irregular quantities and often isn’t restocked once it sells out.
That business model creates a “treasure-hunt” effect, but it also means inventory is inconsistent by store and week. HomeGoods, for example, says it buys whatever opportunities arise, including overproduction and retailer cancellations; source …
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
Yes. Tuesday Morning 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 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.txtPassed
An llms.txt that tells language models what the site offers.
- 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 discoveryPassed
OpenID Connect or OAuth metadata agents can use to sign in.
- study: 10.3%OAuth Protected ResourcePassed
Metadata telling agents which authorization server to use.
- 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%WebMCPPassed
Tools registered in the browser through navigator.modelContext.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 45 of 100 · 100% of checks could run · checked on October 5, 2026 · www.tuesdaymorning.com · 2,047 companies scanned
8 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%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Passedllms.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%
- PassedOAuth Authorization Server discoverystudy: 10.1%
- PassedOAuth 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 Consumer brands.
- Why do off-price home goods stores sometimes have limited stock
- Where to find deals on décor if off-price stores are out of stock
- Alternatives to shopping new for affordable home furniture
- Do off-price décor retailers offer good value on brand-name bedding
- Is shopping at off-price home goods stores worth it for quality furniture
- Cheapest way to shop for discounted appliances in the US
- Best places to find discounted home furnishings in the US
- What should I do if I can't find matching items at a discount home furnishings store
- Off-price home goods stores vs traditional furniture retailers
- How do off-price retailers compare to outlet malls for home appliances
- Unexpected finds to look for at discount home furnishings stores
- Where can I shop for affordable home décor and designer rugs
- Average price range for seating and tables at off-price home goods stores
- How to find designer watches and unique décor items at bargain prices
- Tips for furnishing a home on a budget with off-price retailers
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.