Spruce
sprucesf.com is mostly ready for agents.
Book directly: www.sprucesf.com/reservations on the business's own site · Menu: www.sprucesf.com/menu
See what an AI agent reads on this site →
47 of 65 points available
agent-readiness level, Basic Web Presence
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.
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 San Francisco. List your agency or yourself: free, reviewed by hand.
Already right
- robots.txt lets AI crawlers in No rule blocks the key AI user agents.
- 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.
- Booking on your own site Agents can book without a marketplace in the loop.
Builder: squarespace · 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 squarespace 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": "Spruce",
"url": "https://www.sprucesf.com/",
"address": {
"@type": "PostalAddress",
"streetAddress": "Sacramento Street 3640",
"postalCode": "94118",
"addressLocality": "San Francisco"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 37.7877338,
"longitude": -122.4527537
},
"servesCuisine": [
"american",
"californian",
"wine bar"
],
"acceptsReservations": "https://www.sprucesf.com/reservations",
"hasMenu": "https://www.sprucesf.com/menu",
"potentialAction": [
{
"@type": "ReserveAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://www.sprucesf.com/reservations",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
},
"result": {
"@type": "Reservation",
"name": "Reservation"
}
}
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Spruce > restaurant (american, californian, wine bar) in Sacramento Street 3640 94118 San Francisco, San Francisco. ## Book or order directly - Book: https://www.sprucesf.com/reservations (on the business's own site) - Menu: https://www.sprucesf.com/menu ## About - Website: https://www.sprucesf.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
440 of 1,261 in San Francisco
Top 35% of the sites scanned in this index. Just above: Sidewalk Juice B, Split B. Just below: Tacubaya B, The Thonglor 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 | 94% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 94% | yes |
| Structured data with address, phone and hours | 50% | no |
| Have an llms.txt | 13% | no |
The top tenth is the 127 best-scoring reachable sites of the index at the last refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Squarespace 6,916 sites | 64% | 46% | 72.3% |
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| As Quoted brunch, american, salad, sandwich | 58 m | A | yes |
| Sorrel californian, italian, modern | 575 m | B | yes |
| Ironwoods american | 698 m | B | yes |
| Brenda's Meat & Three southern, comfort, american | 1.6 km | C | yes |
| Squat & Gobble american | 1.8 km | F | no |
| State Bird Provisions american, tapas | 1.8 km | A | yes |
| Progress american | 1.8 km | A | yes |
| Minnie Bell's Soul Movement american, regional, chicken | 1.9 km | B | yes |
| Indigo american | 1.9 km | A | yes |
| Blackwood american | 1.9 km | B | yes |
Level 1 of 5, Basic Web Presence
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 | yes |
| 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/sprucesf.com"><img src="https://directindex.org/badge/sprucesf.com.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.