- Visibility11
- Citations0
- Sentiment60
- Site quality73
- AI readiness36
AI assistants name JD Sports in 8.3% of answers, slightly above the typical company in retail at 6.7%. Its overall score is 31 out of 100, ranking 1,121st of 2,047 companies. The JD Sports website passes 5 out of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the retail market: none named JD Sports. 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, JD Sports 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 buy trending sneakers in the US”
For those looking to buy trending sneakers in the U.S., a variety of options exist, from well-known retailers to exclusive boutiques and online platforms.
Major Retailers & Online Stores:
Foot Locker, Finish Line, and JD Sports: These are reliable choices for a wide selection of popular sneakers and often have sales. They also offer the convenience of buying online or picking up in-store.
Nike and Adidas Apps/Websites: For brand-specific releases and occasional sales on less popular models, their official apps and websites are excellent resources.
Journeys: Offers …
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.
Not by itself. JD Sports 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 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.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- 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 ResourceNot met
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%WebMCPCould not check
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 32 of 100 · 97% of checks could run · checked on October 3, 2026 · www.jdsports.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- PassedHTTP 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%
- PassedExplicit 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 rules for 18 AI crawlers by name. All others follow its general rules.
- GPTBot*partly
- ClaudeBot*partly
- Anthropic-AI*partly
- Google-Extended*partly
- Applebot-Extended*partly
- Meta-ExternalAgent*partly
- FacebookBot*partly
- Bytespider*partly
- CCBot*partly
- Diffbot*partly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBot*partly
- PerplexityBot*partly
- Applebot*partly
- Amazonbotpartly
- YouBot*partly
- ChatGPT-User*partly
- Claude-User*partly
- Perplexity-User*partly
- 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 NRF Top 100 retailers. Number 70 on the NRF Top 100 Retailers 2026 list, ranked by US retail sales.
- Where to shop for affordable sportswear with the latest styles
- Running shoes vs training shoes: which are better for daily workouts?
- How can I verify if a pair of sneakers is authentic when shopping online?
- Alternatives to buying new releases for sneaker collectors
- Are there seasonal discounts on athletic apparel in the fall?
- What should I do if my online sneaker order hasn’t shipped?
- Options for finding exclusive sneakers without paying resale prices
- How do online sneaker retailers compare to physical stores for exclusive drops?
- Are premium sportswear collections actually better quality than standard lines?
- Best places to buy trending sneakers in the US
- Is it worth paying extra for limited edition sneaker releases?
- Best athletic shoes for people who stand all day
- Average price ranges for branded sneakers in the US
- Where can I find new releases for men's athletic footwear?
- Most comfortable sportswear for gym workouts
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/jdsports.com"><img src="https://aeo-audit.rezolve.com/us/badges/jdsports.com.svg" alt="Overall score 31 of 100, US AI Visibility Study 2026" width="280" height="64"></a>