# Khamsa Restaurant: Agent-Direct Score A (96.9%)

Site: http://khamsasf.com
Report: https://directindex.org/r/khamsasf.com
Scanned: 2026-10-24 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
Khamsa Restaurant is ready for agents.
An AI assistant can open Khamsa Restaurant's website. It can read what Khamsa Restaurant offers. It finds a way to book or order directly on the site.

## Direct links
- Order directly: https://khamsasf.com/order (on the business's own site)
- Menu: https://khamsasf.com/menu
- Phone: (628) 233-1503
- Address: 1503 15th St, 94103, San Francisco

## Nearby, also direct
Places near Khamsa Restaurant that take a booking or an order on their own website, with no marketplace in between.
- Freekeh (490 m): https://directindex.org/r/freekehsf.com
- Oren's Hummus (2.6 km): https://directindex.org/r/orenshummus.com
- Beit Rima (2.8 km): https://directindex.org/r/beitrimasf.com

## What to fix first
- **Almost no text without JavaScript.** (+2 points) Crawlers that don't run scripts see an empty page. Put the menu, hours and address in plain HTML. Guide: https://directindex.org/guides/website-blank-without-javascript
- **No llms.txt.** (no points, but worth doing) Optional for now and cheap to add. It's a short text file that describes the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business
- **The phone number on the site doesn't match the open map data.** The site shows 4153169458, but OpenStreetMap or Overture Maps lists (628) 233-1503. An assistant that sees two numbers can't tell which one to trust. Fix whichever is wrong, on the site or in the map data at openstreetmap.org.

## Fix kit: What to paste

llms.txt. Save as /llms.txt at the root of the site.

```
# Khamsa Restaurant

> restaurant (middle eastern) in 1503 15th St, 94103, San Francisco, San Francisco. Phone (628) 233-1503.

## Book or order directly

- Order: https://khamsasf.com/order (on the business's own site)
- Menu: https://khamsasf.com/menu

## About

- Website: http://khamsasf.com
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
```

## Already right
- **robots.txt lets AI crawlers in.** No rule blocks the main AI user agents.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all got a normal response.
- **Structured data found (Restaurant).** address, phone, opening hours
- **Menu or price list is an HTML page.** Agents can read the items and prices.
- **Ordering on your own site.** Agents can order without going through a marketplace.

## Where it stands
32 of 2332 in San Francisco. Top 1% of the sites scanned in this index.

| What the top 10% 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 | 89% | yes |
| Let AI crawlers in (no block at the server or in robots.txt) | 96% | yes |
| Structured data with address, phone and hours | 55% | yes |
| Have an llms.txt | 25% | no |

Nearest places with a similar menu: Freekeh (A, 486 m, https://directindex.org/r/freekehsf.com); Mazza Luna (C, 1838 m, https://directindex.org/r/mazzaluna.com); Old Jerusalem (C, 1918 m, https://directindex.org/r/mobile-webview1.com); Oren's Hummus (B, 2600 m, https://directindex.org/r/orenshummus.com); Abu Salim Middle Eastern Grill (F, 2711 m, https://directindex.org/r/abusalimsf.com); Beit Rima (C, 2802 m, https://directindex.org/r/beitrimasf.com).

## What assistants answer
The assistants haven't been asked about this business yet. They're asked about the top-ranked businesses in each city index, and about any business as soon as it's claimed. Claim this page to be included.

The assistants were asked 22 everyday questions about San Francisco and named 113 places. Khamsa Restaurant wasn't one of them. See who was named: https://directindex.org/city/san-francisco/recommended


Compared with its peers: Sites built with Popmenu 75% (66% A or B, 649 sites); This site 96.9%.

See what an AI agent reads on this site: https://directindex.org/r/khamsasf.com/agent-view

## Businesses like Khamsa Restaurant in San Francisco

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in San Francisco | 2332 | 49% | 32% | 96.9% |
| Sites built with Popmenu in San Francisco | 6 | 92% | 83% | 96.9% |

The best of the sites built with Popmenu in San Francisco: The Brixton (A 100%, https://directindex.org/r/brixtonsf.com); Freekeh (A 96.9%, https://directindex.org/r/freekehsf.com); Milbrae Pancake House (A 96.9%, https://directindex.org/r/millbraepancake.com); Zpizza (A 96.9%, https://directindex.org/r/zpizza.com); Alora Coastal Mediterranean (C 66.2%, https://directindex.org/r/visitalora.com).

With the fix above (Almost no text without JavaScript), the score would be about 100%, which would be first of 2,332 in San Francisco.

## The direct record
What agents get for Khamsa Restaurant, as JSON: https://directindex.org/api/direct/khamsasf.com
- Book: none on record
- Order: https://khamsasf.com/order (own site; found by the scan of 2026-10-24, not yet tested)
- Menu: https://khamsasf.com/menu (html_page; from the scan)
- Hours: none on record
- Phone: (628) 233-1503
- Stable links that count: https://directindex.org/go/khamsasf.com/order, https://directindex.org/go/khamsasf.com/menu

## Can an agent transact?
Measured, not scored (the score stays at spec v1.0).
- UCP profile (/.well-known/ucp, Google and Shopify's Universal Commerce Protocol): no
- ACP discovery document (/.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol): no
- MCP server card (/.well-known/mcp/server-card.json): no
- Ordering vendor that takes agent orders (Square, Toast, or a vendor whose terms allow agents): no

Found one hop past the home page: menu page /menu: menu schema.

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 23 | 25 |
| Readable | 25 | 25 |
| Actionable | 15 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Level 0 of 5, Not Ready. Cloudflare's report: https://isitagentready.com/khamsasf.com
- Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md)
- sitemap.xml: no (how: https://isitagentready.com/.well-known/agent-skills/sitemap/SKILL.md)
- AI bot rules in robots.txt: yes
- Content Signals in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/content-signals/SKILL.md)
- Markdown on Accept: text/markdown: no (how: https://isitagentready.com/.well-known/agent-skills/markdown-negotiation/SKILL.md)
- llms.txt: no (how: https://isitagentready.com/.well-known/agent-skills/llms-txt/SKILL.md)
- API catalog (RFC 9727): no (how: https://isitagentready.com/.well-known/agent-skills/api-catalog/SKILL.md)
- MCP server card: no (how: https://isitagentready.com/.well-known/agent-skills/mcp-server-card/SKILL.md)
- A2A agent card: no (how: https://isitagentready.com/.well-known/agent-skills/a2a-agent-card/SKILL.md)
- Agent Skills index: no (how: https://isitagentready.com/.well-known/agent-skills/agent-skills/SKILL.md)
- OAuth or OIDC discovery: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-discovery/SKILL.md)
- OAuth protected resource metadata: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-protected-resource/SKILL.md)
- auth.md: no (how: https://isitagentready.com/.well-known/agent-skills/auth-md/SKILL.md)
- Web Bot Auth key directory: no (how: https://isitagentready.com/.well-known/agent-skills/web-bot-auth/SKILL.md)
- ARD capability manifest: no (how: https://isitagentready.com/.well-known/agent-skills/ard/SKILL.md)
- DNS-AID records: no (how: https://isitagentready.com/.well-known/agent-skills/dns-aid/SKILL.md)
- WebMCP tools on the page: no (how: https://isitagentready.com/.well-known/agent-skills/webmcp/SKILL.md)
- JSON-LD for the business: yes

Keep watching this business (https://directindex.org/r/khamsasf.com/plan): the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year.
Deep report: https://directindex.org/r/khamsasf.com/deep. Ten questions phrased the way people ask them, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF. 5 EUR, paid once. Reading and scanning stay free. These few euros pay for the questions sent to the assistants and for the servers.
Methodology: https://directindex.org/methodology · Rescan now: https://directindex.org/scan?url=khamsasf.com&force=1