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Ocean State Job Lot

oceanstatejoblot.com · Retail

Ranked 1,085 of 2,047 companies in the study

32Overall score
  • Visibility4
  • Citations0
  • Sentiment75
  • Site quality80
  • AI readiness29
What this means for Ocean State Job Lot

AI assistants rarely name Ocean State Job Lot, mentioning it in 2 of 60 answers. In those cases, they also name Big Lots, Family Dollar, and Dollar General. Ocean State Job Lot has an overall score of 32 out of 100, ranking 1,085th of 2,047 companies. Its website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the retail market: none named Ocean State Job Lot. 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, Ocean State Job Lot 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
4.4%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
354 of 640
by overall score, where the typical retail company scores 34
How Ocean State Job Lot 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
75

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 score32
Ranks 354 of 640. Typical company: 34
Named in answers3%
Ranks 392 of 640. Typical company: 7%
AI readiness29
Ranks 222 of 640. Typical company: 29
What Gemini actually said

An answer that names the company

“Other ways to find discounted name-brand goods outside of discount stores”

Beyond traditional discount stores, several avenues can lead you to discounted name-brand goods. Here's a breakdown of options:

1. Online Retailers Specializing in Discounts & Overstock:

Many websites focus on selling designer and name-brand items at reduced prices. These often function like virtual outlet malls or offer curated selections of discounted goods. Some popular examples include:

6PM: This site offers clothing, shoes, and accessories for men, women, and kids at discounts of up to 75% off the manufacturer's suggested retail price. You can find brands like Tart, L …

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

Also named
Big Lots8Family Dollar8Dollar General8
Share of mentions

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

Big Lots
32.5%
Dollar General
30.0%
Family Dollar
22.5%
Ollie's Bargain Outlet
10.0%
Ocean State Job Lot
5.0%
Gabriel Brothers (Gabe’s)
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
Claude
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. Ocean State Job Lot 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
72 of 100
  • robots.txtPassed

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

    study: 92.0%
  • SitemapPartly 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
11 of 100
  • API CatalogNot met

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

    study: 0.3%
  • OAuth discoveryCould not check

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

    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%
  • 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 28 of 100 · 94% of checks could run · checked on October 5, 2026 · www.oceanstatejoblot.com · 2,047 companies scanned

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

The checks behind the AI readiness score

4 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%
  • 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%
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
45
reddit.com
13
en.wikipedia.org
10
consumerreports.org
9
thepennyhoarder.com
9
savingsgrove.com
9
moneypantry.com
9
target.com
8
businessinsider.com
8
homegoods.com
8

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 do off-price retailers keep their prices so low on name-brand items?
  • Other ways to find discounted name-brand goods outside of discount stores
  • Best stores for stocking up on seasonal home essentials for less
  • Alternatives to off-price retailers for budget shopping on essentials
  • Where else can value-conscious shoppers buy affordable home and apparel goods?
  • What can I do if an off-price store purchase is missing an item?
  • Discount general merchandise retailers vs dollar stores—what's the difference?
  • Where can I find affordable name-brand goods for everyday use?
  • Where can I shop discounted electronics and clothing in one place?
  • Are general merchandise discount stores reliable for name-brand products?
  • Is it worth shopping at off-price retailers for home goods?
  • Best off-price stores for household essentials in the US
  • Why did my online discount order not qualify for free shipping?
  • Are clearance deals at general merchandise discount stores really a bargain?
  • Warehouse clubs vs off-price stores for bulk shopping savings
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.

Next step

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