# Pizza Pizza Pizza: Agent-Direct Score D (41.5%) Site: http://pizzapizzapizza.com.au/ Report: https://directindex.org/r/pizzapizzapizza.com.au 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 Pizza Pizza is hard for agents to use. An AI assistant can open Pizza Pizza Pizza's website. What Pizza Pizza Pizza offers is in a PDF or an image, and assistants read those badly. To book or order, it is sent to Uber Eats, a marketplace. ## Direct links - Menu: http://pizzapizzapizza.com.au/img/PizzaPizzaPizza.pdf ## 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). Every assistant reads this block first, and the fix kit below has it filled in. Guide: https://directindex.org/guides/structured-data-restaurant - **Ordering only through ubereats.** (+12 points) Every transaction an agent makes goes through the marketplace, which takes its commission. Add a direct way on your own site. Even a simple form will do. Guide: https://directindex.org/guides/online-ordering-without-delivery-apps - **No working HTTPS.** (+3 points) The page is only served over plain http. Browsers and agents rank it lower or refuse it. - **Menu or price list is a PDF.** (+3 points) Most agents skip PDFs or read them badly. Publish it as an HTML page and keep the PDF as a download. Guide: https://directindex.org/guides/menu-pdf-ai - **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 ## 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 Pizza Pizza > restaurant (pizza) in Melbourne. ## Book or order directly - Menu: http://pizzapizzapizza.com.au/img/PizzaPizzaPizza.pdf ## About - Website: http://pizzapizzapizza.com.au/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models. ``` ## Already right - **robots.txt lets AI crawlers in.** There's no robots.txt, which means everything is allowed. - **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all got a normal response. - **Uber Eats works with agents through its partners.** Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Terms read on 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en. An assistant that isn't a partner may not be able to finish there. A direct path on your own domain works for all of them. ## Where it stands 3050 of 4394 in Melbourne. Top 69% 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% | no | | Publish the menu or price list as HTML | 91% | no | | Let AI crawlers in (no block at the server or in robots.txt) | 95% | yes | | Structured data with address, phone and hours | 51% | no | | Have an llms.txt | 27% | no | Nearest places with a similar menu: Matto Napoletano Pizzeria (A, 161 m, https://directindex.org/r/mattonapoletano.com.au); Sal's Authentic New York Pizza (C, 842 m, https://directindex.org/r/salspizza.com.au); 11 Inch Pizza (D, 901 m, https://directindex.org/r/linkedin.com); Da Guido 365 (C, 925 m, https://directindex.org/r/daguido365.com.au); IL Gambero (A, 1103 m, https://directindex.org/r/ilgambero.com.au); Alley Cat Pizza and Pasta (F, 1174 m, https://directindex.org/r/alleycat.com.au); Pino Pinelli Public Bar (D, 1291 m, https://directindex.org/r/pinopinelli.com); Milano (F, 1381 m, https://directindex.org/r/milanodining.com.au); Queen Caterina Pizza e' Birra (C, 1413 m, https://directindex.org/r/queencaterinapizza.com.au); Garfield Pizzeria (D, 1602 m, https://directindex.org/r/garfieldpizzeria.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 12 everyday questions about Melbourne and named 56 places. Pizza Pizza Pizza wasn't one of them. See who was named: https://directindex.org/city/melbourne/recommended Compared with its peers: Sites using Uber Eats 62% (33% A or B, 1135 sites); This site 41.5%. See what an AI agent reads on this site: https://directindex.org/r/pizzapizzapizza.com.au/agent-view ## Businesses like Pizza Pizza Pizza in Melbourne | Group | Sites | Avg score | A or B | This site | |---|---|---|---|---| | Businesses of the same kind in Melbourne | 4394 | 56% | 32% | 41.5% | | Sites using Uber Eats in Melbourne | 73 | 65% | 41% | 41.5% | The best of the sites using Uber Eats in Melbourne: Outback Jacks Bar & Grill (A 100%, https://directindex.org/r/outbackjacks.com.au); Middels (A 93.8%, https://directindex.org/r/middels.com.au); Studio Amaro (A 93.8%, https://directindex.org/r/studioamaro.au); Al Nawab Restaurant & Cafe - St Kilda (A 92.3%, https://directindex.org/r/alnawabrestaurant.au); Squires Loft Camberwell (A 89.7%, https://directindex.org/r/squiresloftcamberwell.com.au). With the three fixes above (No structured data for the business; Ordering only through ubereats; No working HTTPS), the score would be about 87.7%. That would be 387th of 4,394 in Melbourne, up from 3050th. ## The direct record What agents get for Pizza Pizza Pizza, as JSON: https://directindex.org/api/direct/pizzapizzapizza.com.au - Book: none on record - Order: none on record - Menu: http://pizzapizzapizza.com.au/img/PizzaPizzaPizza.pdf (pdf; from the scan) - Hours: none on record - Phone: none on record - Stable links that count: https://directindex.org/go/pizzapizzapizza.com.au/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 - Vendor terms for agents, Uber Eats: Through partners. Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Read 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en ## Score breakdown | Component | Points | Available | |---|---|---| | Reachable | 20 | 25 | | Readable | 4 | 25 | | Actionable | 3 | 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/pizzapizzapizza.com.au - 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: no (how: https://isitagentready.com/.well-known/agent-skills/ai-rules/SKILL.md) - 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/pizzapizzapizza.com.au/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/pizzapizzapizza.com.au/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=pizzapizzapizza.com.au&force=1