- Visibility33
- Citations0
- Sentiment79
- Site quality80
- AI readiness36
AI assistants name Gap in 35% of answers, more often than the typical company in retail, which is named in 6.7% of answers. Gap has an overall score of 43 out of 100, ranking 170th of 2,047 companies. Its website passes 4 of 14 technical checks on how ready it is for AI tools.
We asked 15 unbranded questions about the retail market: none named Gap. AI assistants named it in 21 of 60 answers (35.0%). The typical retail company is named in 6.7% of answers. By how often it is named, Gap ranks 63 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
“How does shopping at an off-price apparel store compare to outlet malls for family basics?”
I'll search for information comparing off-price apparel stores with outlet malls for family basics shopping.Based on the latest research, here's how shopping at off-price apparel stores compares to outlet malls for family basics:
Quality Differences
The key distinction is what you're actually buying. About half of off-price stores investigated—particularly for mid-priced apparel stores like J. Crew and Banana Republic—are selling made-for-outlet goods, usually with cheaper fabrications and fewer fine details than mainline store merchandise. This applies to children's clothing too: Most po …
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
Not by itself. Gap 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 5, 2026 · www.gap.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- Not metXML 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 9 AI crawlers by name. All others follow its general rules.
- GPTBot*partly
- ClaudeBot*partly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgent*partly
- FacebookBotpartly
- Bytespiderpartly
- CCBot*partly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBotpartly
- PerplexityBot*partly
- Applebotpartly
- Amazonbot*partly
- YouBot*partly
- 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.
How many times each website was listed as a source in these answers
In the study as Consumer brands. Number 37 on the NRF Top 100 Retailers 2026 list, ranked by US retail sales.
- How does shopping at an off-price apparel store compare to outlet malls for family basics?
- Modern casual clothing retailer vs department store for essentials: which is better for families?
- How to find the best deals on basic everyday clothing for women, men, and kids?
- Is it better to shop sales or wait for seasonal promotions when buying everyday jeans and tees?
- Best affordable stores for comfy modern family clothing
- Are mid-range family clothing stores worth it for quality and comfort?
- Alternatives to chain retailers for classic wardrobe essentials for families
- Typical price range for modern casualwear for the whole family in the US
- How do I prevent pilling on knit sweaters and sweatshirts?
- Where can I buy comfortable work-from-home outfits for both adults and teens?
- What can I do if my new cotton tees shrink after the first wash?
- Options for sustainable family apparel brands with modern styles
- Where can I find stylish basics for women, men, and kids in the US?
- What are the best clothing options for coordinating looks for family photos?
- How do factory outlet stores compare to online family clothing retailers in selection and price?
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.
A badge of this result that you can show on your own website. Copy the code below.
<a href="https://aeo-audit.rezolve.com/us/gap.com"><img src="https://aeo-audit.rezolve.com/us/badges/gap.com.svg" alt="Overall score 43 of 100, US AI Visibility Study 2026" width="280" height="64"></a>