- Visibility23
- Citations1
- Sentiment61
- Site quality73
- AI readiness21
AI assistants name Family Dollar in 23.3% of answers, which is more often than the typical company in the retail sector. Its overall score is 34 out of 100, ranking it 880th of 2,047 companies. 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 Family Dollar. AI assistants named it in 14 of 60 answers (23.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Family Dollar ranks 126 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
“Are discount variety retailers worth it for brand-name groceries and essentials?”
I can provide you with a general analysis based on what's typically known about discount variety retailers.
Potential advantages:
Discount variety retailers (like Dollar General, Dollar Tree, Family Dollar, and similar stores) often offer competitive prices on name-brand groceries and essentials because they:
Operate with lower overhead costs
Use efficient supply chains
Accept lower profit margins per item
Buy in bulk and pass savings to customers
Considerations:
1. Selection limitations: These stores typically have smaller selections compared to traditional grocery sto …
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. Family Dollar 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 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 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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.familydollar.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 43 on the NRF Top 100 Retailers 2026 list, ranked by US retail sales.
- Are discount variety retailers worth it for brand-name groceries and essentials?
- Typical price ranges for detergent and cleaning products at discount variety retailers?
- Best strategies for saving money on groceries at discount variety stores in the US?
- Where can I find low-price household essentials and cleaning supplies near me?
- What are some alternatives to shopping at discount variety retailers for affordable household goods?
- Is shopping at a discount variety store a good way to save on laundry and kitchen supplies?
- How can families use discount variety retailers to stretch their grocery budget?
- What are the best discount variety retailers for affordable groceries and household products in the US?
- Discount variety retailer vs. warehouse club: which is better for household essentials?
- How do seasonal discounts work at dollar and discount variety stores?
- What to do if an item purchased at a discount variety store is defective or missing pieces?
- What type of household products are usually available at discount variety shops?
- Why are some items at discount variety stores priced higher than expected?
- Where else can I find budget-friendly groceries and personal care items besides discount variety shops?
- How do discount variety stores compare to traditional supermarkets for weekly grocery 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/familydollar.com"><img src="https://aeo-audit.rezolve.com/us/badges/familydollar.com.svg" alt="Overall score 34 of 100, US AI Visibility Study 2026" width="280" height="64"></a>