# Pizza La Famosa: Agent-Direct Score B (72.3%) Site: http://www.pizzalafamosa.be/ Report: https://directindex.org/r/pizzalafamosa.be Scanned: 2026-10-18 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.) Pizza La Famosa is mostly ready for agents. An AI assistant can open Pizza La Famosa's website. It can read what Pizza La Famosa offers. It finds a way to book or order directly on the site. ## Direct links - Book directly: https://www.pizzalafamosa.be/contact/ (on the business's own site) - Menu: https://www.pizzalafamosa.be/menu/ - Phone: +32484842222 ## What to fix first ## What the site tells visitors (Measured, not scored) - **No English version declared.** Visitors from abroad, and assistants answering in English, read the page as it is. In Brussels, 32% of comparable sites declare one. - **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). Every assistant reads this block first, and the fix kit below has it filled in. Guide: https://directindex.org/guides/structured-data-restaurant - **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 ## Fix kit: What to paste Structured data (JSON-LD). Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong. ```html ``` llms.txt. Save as /llms.txt at the root of the site. ``` # Pizza La Famosa > local business (pizza) in Waversesteenweg 1318a, 1160, Auderghem, Brussels. Phone +32484842222. ## Book or order directly - Book: https://www.pizzalafamosa.be/contact/ (on the business's own site) - Menu: https://www.pizzalafamosa.be/menu/ ## About - Website: http://www.pizzalafamosa.be/ - 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. - **Menu or price list is an HTML page.** Agents can read the items and prices. - **Booking on your own site.** Agents can book without going through a marketplace. ## Where it stands 535 of 1568 in Brussels. Top 34% 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 | 100% | yes | | Let AI crawlers in (no block at the server or in robots.txt) | 100% | yes | | Structured data with address, phone and hours | 94% | no | | Have an llms.txt | 3% | no | Nearest places with a similar menu: Amore & Fantasia (B, 630 m, https://directindex.org/r/amoreetfantasia.be); I Trulli (D, 1059 m, https://directindex.org/r/pizzeriaitrulli.be); Bros (A, 1453 m, https://directindex.org/r/brospizza.be); Pulcinella (D, 1623 m, https://directindex.org/r/pizza-pulcinella.com); Pavarotti (F, 1632 m, https://directindex.org/r/pizzeriapavarotti.be); Chez Valerio (F, 1782 m, https://directindex.org/r/chezvalerio.be); Pizza D’Italia (D, 1801 m, https://directindex.org/r/pizzaditalia-ixelles.be); Pizza Vino (B, 1847 m, https://directindex.org/r/pizzavino.be); Pizzeria Vorrei (B, 1851 m, https://directindex.org/r/pizzeriavorrei.be); Pizzeria Maestra Biga (B, 1951 m, https://directindex.org/r/maestrabiga.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 13 everyday questions about Brussels and named 67 places. Pizza La Famosa wasn't one of them. See who was named: https://directindex.org/city/brussels/recommended See what an AI agent reads on this site: https://directindex.org/r/pizzalafamosa.be/agent-view ## Businesses like Pizza La Famosa in Brussels | Group | Sites | Avg score | A or B | This site | |---|---|---|---|---| | Businesses of the same kind in Brussels | 1568 | 58% | 36% | 72.3% | The best of the businesses of the same kind in Brussels: 'T Kelderke (A 100%, https://directindex.org/r/restaurant-het-kelderke.be); 9 et voisins (A 100%, https://directindex.org/r/9-et-voisins.be); A l'Angolo (A 100%, https://directindex.org/r/alangolo.be); Afrikana (A 100%, https://directindex.org/r/afrikanarestaurant.be); Akai (A 100%, https://directindex.org/r/akaibrussels.com). With the fix above (No structured data for the business), the score would be about 95.4%. That would be 158th of 1,568 in Brussels, up from 535th. ## The direct record What agents get for Pizza La Famosa, as JSON: https://directindex.org/api/direct/pizzalafamosa.be - Book: https://www.pizzalafamosa.be/contact/ (own site; found by the scan of 2026-10-18, not yet tested) - Order: none on record - Menu: https://www.pizzalafamosa.be/menu/ (html_page; from the scan) - Hours: none on record - Phone: +32484842222 - Stable links that count: https://directindex.org/go/pizzalafamosa.be/book, https://directindex.org/go/pizzalafamosa.be/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 ## Score breakdown | Component | Points | Available | |---|---|---| | Reachable | 25 | 25 | | Readable | 7 | 25 | | Actionable | 15 | 15 (the action test: pending) | | Cited | 0 | 0 (the assistant citation check: pending) | ## Agent readiness (Cloudflare) Level 1 of 5, Basic Web Presence. Cloudflare's report: https://isitagentready.com/pizzalafamosa.be - Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md) - sitemap.xml: yes - 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: no Keep watching this business (https://directindex.org/r/pizzalafamosa.be/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/pizzalafamosa.be/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=pizzalafamosa.be&force=1