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Bealls

beallsinc.com · Retail

Ranked 1,518 of 2,047 companies in the study

27Overall score
  • Visibility12
  • Citations0
  • Sentiment50
  • Site quality60
  • AI readiness36
What this means for Bealls

AI assistants name Bealls in 10% of answers, which is more often than the typical company in the retail sector at 6.7%. Its overall score is 27 out of 100, ranking 1,518th of 2,047. The company's website passes 5 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the retail market: none named Bealls. AI assistants named it in 6 of 60 answers (10.0%). The typical retail company is named in 6.7% of answers. By how often it is named, Bealls ranks 251 of 640 in its sector.

Named by AI in
10.0%
6 of 60 answers
Share of mentions
15.4%
compared with 5 rivals
AI readiness
5/14
technical checks passed. Typical for its sector: 3
Rank in its sector
495 of 640
by overall score, where the typical retail company scores 34
How Bealls 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
12

How often AI assistants name the company

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
60

How well built the website's own pages are

AI readiness
36

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 score27
Ranks 495 of 640. Typical company: 34
Named in answers10%
Ranks 251 of 640. Typical company: 7%
AI readiness36
Ranks 156 of 640. Typical company: 29
What Claude actually said

An answer that names the company

“What are some good options for shopping affordable Florida-style fashion online?”

I can help you find some good options for affordable Florida-style fashion online. Let me search for some current recommendations.Based on my search results, here are some great options for shopping affordable Florida-style fashion online:

Florida-Based Online Boutiques

Chique Me offers hot fashions at affordable prices, including dresses, tanks, tops, jeans, skirts, shorts, and accessories. The Pink Nickel is a top online women's boutique in Jacksonville, FL, offering stylish designer clothes and accessories at great prices.

Anthony's Ladies Apparel offers the newest trends in women's a …

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

Also named
TJ Maxx14Ross Dress for Less2Kohl's1
Share of mentions

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

TJ Maxx
52.9%
Bealls
17.6%
Kohl's
17.6%
Ross Dress for Less
11.8%
Belk
0.0%
Stage Stores (Gordmans)
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
2/15
Gemini
2/15
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?

Yes. Bealls 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 shop runs on BigCommerce.

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
50 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 ResourceNot met

    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%
  • 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 34 of 100 · 97% of checks could run · checked on October 5, 2026 · beallsinc.com · 2,047 companies scanned

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

The checks behind the AI readiness score

5 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%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • PassedMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • PassedExplicit 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 rules for 17 AI crawlers by name. All others follow its general rules.

Training AI
  • GPTBot*partly
  • ClaudeBot*partly
  • Anthropic-AI*partly
  • Google-Extended*partly
  • Applebot-Extended*partly
  • Meta-ExternalAgent*partly
  • FacebookBot*partly
  • Bytespider*partly
  • CCBot*partly
  • Diffbot*partly
  • Omgilibot*partly
AI search
  • OAI-SearchBot*partly
  • Claude-SearchBotpartly
  • PerplexityBot*partly
  • Applebot*partly
  • Amazonbot*partly
  • YouBot*partly
Answering questions
  • ChatGPT-User*partly
  • 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
26
target.com
16
reddit.com
13
macys.com
11
apartmenttherapy.com
11
etsy.com
11
cnn.com
10
patpat.com
10
athome.com
9
businessinsider.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 (3 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Where can I shop for low-priced home goods that fit a modern American family aesthetic?
  • Is it worth shopping at off-price retailers for seasonal clothing updates?
  • How can I return or exchange home items bought from a low-cost retailer?
  • What should I do if an item from a discount apparel store doesn’t fit properly?
  • Where can I find deals on home accessories besides off-price retailers?
  • How do off-price clothing retailers compare to department stores for everyday apparel?
  • What’s the usual price range for children’s clothing at off-price retailers in the US?
  • How do prices for bedding and bath products at discount stores compare to big box retailers?
  • Outlet stores vs. discount chains for family home essentials — which has better deals?
  • What are some good options for shopping affordable Florida-style fashion online?
  • What are the best places to find affordable family apparel with a coastal or Florida-inspired style?
  • How can I refresh my living room with affordable coastal-inspired décor?
  • What are some alternatives to outlet stores for affordable family clothing?
  • Are budget stores good for picking up quality home décor for families?
  • Where can I shop for vacation-ready outfits for the whole family on a budget?
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 27 of 100 badge for Bealls

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