Blackberry Market
blackberry.cafe is mostly ready for agents.
Order directly: www.blackberry.cafe/catering on the business's own site · Menu: www.blackberry.cafe/menu
Score over 2 scans since 2026-10-14: 72% → 72%
See what an AI agent reads on this site →
47 of 65 points available
agent-readiness level, Not Ready
things to fix
Provisional: the action test and the assistant citation check still to come; the hatched part of the bar is not measured yet.
Since the scan of 2026-10-14: no change in the findings.
What to fix first
- No structured data for the business +15 points
Add schema.org JSON-LD for the business (Restaurant, LocalBusiness or the closest type) with name, address, telephone and openingHoursSpecification, plus servesCuisine and acceptsReservations for a restaurant. It is the one block every assistant reads first. How to fix it
- No llms.txt no points, still worth doing
Optional today, cheap to add: a short text file describing the business for language models. How to fix it
No one is listed yet to fix this in Chicago. List your agency or yourself: free, reviewed by hand.
Already right
- robots.txt lets AI crawlers in There is no robots.txt, which allows everything.
- AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all received a normal response.
- Menu or price list is an HTML page Agents can read items and prices directly.
- Ordering on your own site Agents can order without a marketplace in the loop.
Builder: webflow · Front: cloudflare
What to paste
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on webflow is in the guides.
Structured data (JSON-LD)
One block in the page's <head>, or in the builder's custom-code slot. Replace anything that is wrong; add priceRange if you like. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Restaurant",
"name": "Blackberry Market",
"url": "https://blackberry.cafe/",
"telephone": "+1-708-571-2221",
"address": {
"@type": "PostalAddress",
"streetAddress": "South La Grange Road 36",
"postalCode": "60525",
"addressLocality": "La Grange"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 41.8143415,
"longitude": -87.8698572
},
"openingHours": "Mo-Su 07:00-17:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [],
"opens": "07:00",
"closes": "17:00"
}
],
"servesCuisine": [
"cafe"
],
"hasMenu": "https://www.blackberry.cafe/menu",
"potentialAction": [
{
"@type": "OrderAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://www.blackberry.cafe/catering",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
}
}
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Blackberry Market > restaurant (cafe) in South La Grange Road 36 60525 La Grange, Chicago. Phone +1-708-571-2221. ## Book or order directly - Order: https://www.blackberry.cafe/catering (on the business's own site) - Menu: https://www.blackberry.cafe/menu ## Opening hours Mo-Su 07:00-17:00 ## About - Website: https://blackberry.cafe/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
513 of 1,720 in Chicago
Top 30% of the sites scanned in this index. Just above: Barraco's Pizza B, Beggars Pizza B. Just below: Blowfish Sushi & Ramen B, Bob-O's Hot Dog's B.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | yes |
| Publish the menu or price list as HTML | 97% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 95% | yes |
| Structured data with address, phone and hours | 51% | no |
| Have an llms.txt | 18% | no |
The top tenth is the 173 best-scoring reachable sites of the index at the last refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Webflow 1,854 sites | 57% | 25% | 72.3% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Casa Margarita mexican | 18 m | A | yes |
| Blueberry Hill Breakfast Cafe american, breakfast, brunch | 38 m | F | no |
| Nonna's Goodlife Pizza pizza, gelato | 48 m | A | yes |
| Thipi Thai thai | 100 m | D | no |
| Q-BBQ barbecue | 154 m | B | yes |
| Sushi Ukai sushi | 165 m | A | yes |
| Luccas italian | 171 m | A | yes |
| Prasino fine_dining | 206 m | C | yes |
| Hangry Joe's Hot Chicken & Wings chicken | 267 m | B | yes |
| Skadarliya serbian | 1.4 km | F | no |
Level 0 of 5, Not Ready
The standards an agent looks for before it reads a page, on the same criteria as Cloudflare's Agent Readiness scan. Not part of the score; each missing item links to a how-to.
| Link headers on the homepage | no how |
| sitemap.xml | yes |
| AI bot rules in robots.txt | no how |
| Content Signals in robots.txt | no how |
| Markdown on Accept: text/markdown | no how |
| llms.txt | no how |
| API catalog (RFC 9727) | no how |
| MCP server card | no how |
| A2A agent card | no how |
| Agent Skills index | no how |
| OAuth or OIDC discovery | no how |
| OAuth protected resource metadata | no how |
| auth.md | no how |
| Web Bot Auth key directory | no how |
| ARD capability manifest | no how |
| DNS-AID records | no how |
| WebMCP tools on the page | no how |
| JSON-LD for the business | no |
What assistants answer
Each assistant is asked three questions about this business: the official website, where to book, where to order. The cell says where the answer sent people.
Not asked yet. Assistants are asked about the top-ranked businesses in each city index, and about every claimed business the moment it is claimed; claim this page to be included.
Show the score
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/blackberry.cafe"><img src="https://directindex.org/badge/blackberry.cafe.svg" alt="Agent-Direct Score B" width="236" height="40"></a>
Own this business?
Fixed something, or think a check is wrong? Rescans are free. Claiming takes one email to confirm; after that the three assistants are asked about the business right away, the site is rescanned weekly, and you get a message only when the score changes.