# Olive And Pineapple- Best pizza's In Frankston: Agent-Direct Score C (60%) Site: https://oliveandpineapple.com.au/ Report: https://directindex.org/r/oliveandpineapple.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.) Olive And Pineapple- Best pizza's In Frankston is partly visible to agents. An AI assistant can open Olive And Pineapple- Best pizza's In Frankston's website. It can read what Olive And Pineapple- Best pizza's In Frankston offers. It finds a way to book or order directly, through orders.restoplus.com. ## Direct links - Menu: https://oliveandpineapple.com.au/menu - Phone: 0397837377 ## What to fix first - **No structured data for the business.** (+14 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 through an unrecognised third party.** (+9 points) Check that the provider keeps your business as the seller of record. Guide: https://directindex.org/guides/online-ordering-without-delivery-apps - **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. ``` # Olive And Pineapple- Best pizza's In Frankston > local business (pizza) in 2/151 beach street, 3199, Frankston, Melbourne. Phone 0397837377. ## Book or order directly - Menu: https://oliveandpineapple.com.au/menu ## About - Website: https://oliveandpineapple.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.** 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. ## Where it stands 2031 of 4078 in Melbourne. Top 50% 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% | yes | | Let AI crawlers in (no block at the server or in robots.txt) | 95% | yes | | Structured data with address, phone and hours | 50% | no | | Have an llms.txt | 27% | no | Nearest places in the index: Beach 162 (C, 86 m, https://directindex.org/r/beach162.com.au); Tandoori Grill Indian & Nepalese Restaurant (F, 133 m, https://directindex.org/r/tandoorigrill.com.au); Burger Days (F, 355 m, https://directindex.org/r/burgerdays.com.au); Madam Mekong (B, 583 m, https://directindex.org/r/madammekong.com.au); Celina's Pizza (F, 1314 m, https://directindex.org/r/celinaspizza.com.au); Fratelli Pizza e Pasta (F, 1335 m, https://directindex.org/r/fratellipizzapasta.com.au); Heatherhill Asian Kitchen (C, 1561 m, https://directindex.org/r/heatherhillasiankitchen.com.au); Geonbae Korean BBQ Restaurant (D, 1714 m, https://directindex.org/r/geonbae.com.au); The Cheeky Squire (F, 1769 m, https://directindex.org/r/jamessquire.com.au); Waves Restaurant (D, 1829 m, https://directindex.org/r/wavesonthebeach.com.au). ## 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. Olive And Pineapple- Best pizza's In Frankston wasn't one of them. See who was named: https://directindex.org/city/melbourne/recommended See what an AI agent reads on this site: https://directindex.org/r/oliveandpineapple.com.au/agent-view ## Businesses like Olive And Pineapple- Best pizza's In Frankston in Melbourne | Group | Sites | Avg score | A or B | This site | |---|---|---|---|---| | Businesses of the same kind in Melbourne | 4078 | 56% | 33% | 60% | The best of the businesses of the same kind in Melbourne: Afghan Central Restaurant (A 100%, https://directindex.org/r/afghancentral.com.au); An Di (A 100%, https://directindex.org/r/andivietnamese.com.au); Aurelle Café & Restaurant (A 100%, https://directindex.org/r/aurelles.com.au); Añada (A 100%, https://directindex.org/r/anada.com.au); BAMBU Asian Eating House (A 100%, https://directindex.org/r/eatbambu.com.au). With the two fixes above (No structured data for the business; Ordering through an unrecognised third party), the score would be about 95.4%. That would be 87th of 4,078 in Melbourne, up from 2031st. ## The direct record What agents get for Olive And Pineapple- Best pizza's In Frankston, as JSON: https://directindex.org/api/direct/oliveandpineapple.com.au - Book: none on record - Order: none on record - Menu: https://oliveandpineapple.com.au/menu (html_page; from the scan) - Hours: none on record - Phone: 0397837377 - Stable links that count: https://directindex.org/go/oliveandpineapple.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 ## Score breakdown | Component | Points | Available | |---|---|---| | Reachable | 25 | 25 | | Readable | 8 | 25 | | Actionable | 6 | 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/oliveandpineapple.com.au - 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/oliveandpineapple.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/oliveandpineapple.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=oliveandpineapple.com.au&force=1