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Family Fare

shopfamilyfare.com · Retail

Ranked 1,925 of 2,047 companies in the study

24Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness14
What this means for Family Fare

AI assistants do not name Family Fare in any of their 60 answers to market questions. Its overall score is 24 out of 100, ranking 1,925th of 2,047 companies, which is lower than the typical company in the retail sector. The website passes 2 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the retail market: none named Family Fare. AI assistants named it in none of 60 answers. The typical retail company is named in 6.7% of answers. By how often it is named, Family Fare ranks 503 of 640 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
575 of 640
by overall score, where the typical retail company scores 34
How Family Fare 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
0

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
73

How well built the website's own pages are

AI readiness
14

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 score24
Ranks 575 of 640. Typical company: 34
Named in answers0%
Ranks 503 of 640. Typical company: 7%
AI readiness14
Ranks 503 of 640. Typical company: 29
What Claude actually said

The company is not named in this answer

“What are alternatives to doing a full shop at a traditional supermarket for budget-conscious families?”

Here are some effective alternatives to traditional supermarket shopping for budget-conscious families:

Discount Grocery Stores

Aldi, Lidl, and similar discount chains offer significantly lower prices than conventional supermarkets

Their limited selection keeps costs down while maintaining quality

Warehouse Clubs

Costco, Sam's Club, and BJ's Wholesale offer bulk purchasing at reduced per-unit costs

Best for families with storage space and ability to buy in larger quantities

Farmers Markets

Direct from producers means lower prices, especially near closing time when vend …

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

Named instead
Aldi22Kroger7Meijer1
Share of mentions

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

Aldi
45.6%
Walmart Grocery
35.4%
Kroger
16.5%
Meijer
2.5%
Family Fare
0.0%
SpartanNash's D&W Fresh Market
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Can an AI agent buy here?

Not by itself. Family Fare 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 team
Discoverability
77 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced 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
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

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

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    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
18 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryPartly met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    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 31 of 100 · 97% of checks could run · checked on October 5, 2026 · www.shopfamilyfare.com · 2,047 companies scanned

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

The checks behind the AI readiness score

2 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%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit 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 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.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • 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.

Websites the AI used as sources

How many times each website was listed as a source in these answers

reddit.com
22
consumerreports.org
16
justdial.com
14
checkbook.org
10
money.usnews.com
9
thekitchn.com
9
propel.app
9
pmc.ncbi.nlm.nih.gov
8
usatoday.com
8
youtube.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 (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What are alternatives to doing a full shop at a traditional supermarket for budget-conscious families?
  • Supermarkets vs discount grocers: which is better for saving money on family groceries?
  • How do prices at regional supermarkets compare to nationwide grocery chains for basic staples?
  • How can I maximize savings if the weekly mix and match deals are out of stock at the store?
  • Do regional supermarkets offer better savings compared to big city grocery stores?
  • What's the average cost of a week's groceries for a family of four at budget-friendly supermarkets?
  • What are the best supermarkets for budget-friendly grocery shopping in small towns?
  • What are some options besides supermarkets for buying fresh groceries affordably in the US?
  • Is it worth shopping weekly specials at local supermarkets to lower family grocery bills?
  • Where can I find affordable grocery stores that cater to families on a budget?
  • What should I do if my online grocery pickup order is unavailable at my neighborhood supermarket?
  • Are neighborhood grocery stores typically cheaper than large chain supermarkets?
  • What are some effective ways to save time and money grocery shopping for a large family?
  • Where else can families find grocery deals if they don't have access to a nearby supermarket?
  • Which local grocery stores offer the best weekly deals for families?
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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