- Visibility30
- Citations2
- Sentiment74
- Site quality73
- AI readiness21
AI assistants name Kohl's in 33.3% of answers, which is much more often than the typical company in its sector. Its overall score is 39 out of 100, ranking 445th of 2,047 in the study. The website passes 3 out of 14 technical checks for how ready it is for AI tools.
We asked 15 unbranded questions about the retail market: none named Kohl's. AI assistants named it in 20 of 60 answers (33.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Kohl's ranks 67 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
“What are some popular department store sections for value-conscious parents?”
For value-conscious parents, several department store sections and types of stores offer great opportunities to save money while still getting necessary items for their families. Parents are often looking for one-stop shops where they can find deals for everyone in the family, prioritizing efficiency and good value.
Here are some popular department store sections and store types that cater to value-conscious parents:
1. Kids' and Baby Apparel Sections:
H&M, Zara, and Joe Fresh: These stores are noted for offering affordable and trendy clothing for both adults and children. H&M, f …
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
The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.
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.
- UCPCould not check
- ACPCould not check
- AP2Not present
- x402Not present
- MPPNot present
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.txtCould not check
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 AuthCould not check
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogCould not check
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryCould not check
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.mdCould not check
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardCould not check
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardCould not check
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsCould not check
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestCould not check
Publish an ai-catalog.json listing every agent interface.
Score 45 of 100 · 53% of checks could run · checked on October 4, 2026 · kohls.com · 2,047 companies scanned
3 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%
- 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 Consumer brands. Number 34 on the NRF Top 100 Retailers 2026 list, ranked by US retail sales.
- What are some popular department store sections for value-conscious parents?
- Which department store categories are best for redecorating on a budget?
- Department store vs specialty retailer for bedding and linens — which is better for deals?
- Outlet department store vs mall department store — what's the difference in product selection?
- How do price points compare across department store clearance sections for clothing?
- Is shopping at a department store worth it for back-to-school clothing deals?
- Where can I find a wide variety of family apparel and shoes at good prices?
- When do most department stores in the US offer the biggest discounts on home goods?
- Alternatives to department stores for buying affordable toys and games
- Where is the best place to find seasonal décor without spending a fortune?
- Budget-friendly options besides department stores for women’s workwear
- How can I resolve issues with online orders from national department stores?
- Best department stores for affordable home and kitchen gadgets in the US
- What should I do if I want to exchange or return an in-store purchase from a department store?
- Are US department stores good for one-stop holiday gift shopping?
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/kohls.com"><img src="https://aeo-audit.rezolve.com/us/badges/kohls.com.svg" alt="Overall score 39 of 100, US AI Visibility Study 2026" width="280" height="64"></a>