# Agave Mexican Restaurant: Agent-Direct Score D (49.2%) Site: http://agavemex.no/ Report: https://directindex.org/r/agavemex.no Scanned: 2026-10-22 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.) Agave Mexican Restaurant is hard for agents to use. An AI assistant can open Agave Mexican Restaurant's website. It can read what Agave Mexican Restaurant offers. To book or order, it is sent to foodora, a marketplace. ## Direct links - Menu: http://agavemex.no/menu/ - Phone: +4721384860 - Address: Cecilie Thoresens vei 23, 1153, Oslo - Its menu mentions: vegetarian dishes, allergens ## Nearby, also direct Places near Agave Mexican Restaurant that take a booking or an order on their own website, with no marketplace in between. - Peppes Pizza - Lambertseter (330 m): https://directindex.org/r/peppes.no - Pizzabakeren Lambertseter (750 m): https://directindex.org/r/pizzabakeren.no - Karlsrud Mat og Vinhus (760 m): https://directindex.org/r/karlsrudmatogvinhus.no - Egon Nordstrand (1.5 km): https://directindex.org/r/egon.no ## 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 foodora.** (+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. - **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 ## 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 Oslo, 17% of comparable sites declare one. ## 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. ``` # Agave Mexican Restaurant > local business (mexican) in Cecilie Thoresens vei 23, 1153, Oslo, Oslo. Phone +4721384860. ## Book or order directly - Menu: http://agavemex.no/menu/ ## About - Website: http://agavemex.no/ - 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 463 of 779 in Oslo. Top 59% 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 | 98% | no | | Publish the menu or price list as HTML | 43% | 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 | 23% | no | Nearest places in the index: Bambus Lambertseter (D, 14 m, https://directindex.org/r/bambussushi.no); Lambertseter Kro (C, 99 m, https://directindex.org/r/dileks.no); Peppes Pizza - Lambertseter (B, 333 m, https://directindex.org/r/peppes.no); Pizzabakeren Lambertseter (C, 751 m, https://directindex.org/r/pizzabakeren.no); Karlsrud Mat og Vinhus (C, 763 m, https://directindex.org/r/karlsrudmatogvinhus.no); tortas EL tommy (C, 1104 m, https://directindex.org/r/tortas.no); Egon Nordstrand (C, 1509 m, https://directindex.org/r/egon.no); Norlaks Sushi Sæter (F, 1526 m, https://directindex.org/r/norlaks.no); Nori Sushi Bar (D, 1528 m, https://directindex.org/r/norisushibar.no); Burger King (F, 1549 m, https://directindex.org/r/bk.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 Oslo and named 77 places. Agave Mexican Restaurant wasn't one of them. See who was named: https://directindex.org/city/oslo/recommended Compared with its peers: Sites built with WordPress 55% (24% A or B, 224455 sites); Sites using foodora 59% (26% A or B, 215 sites); This site 49.2%. See what an AI agent reads on this site: https://directindex.org/r/agavemex.no/agent-view ## Businesses like Agave Mexican Restaurant in Oslo | Group | Sites | Avg score | A or B | This site | |---|---|---|---|---| | Businesses of the same kind in Oslo | 779 | 53% | 23% | 49.2% | | Sites built with WordPress in Oslo | 216 | 58% | 24% | 49.2% | | Sites using foodora in Oslo | 16 | 57% | 31% | 49.2% | | Sites built with WordPress and using foodora in Oslo | 7 | 57% | 29% | 49.2% | The best of the sites built with WordPress and using foodora in Oslo: Coyo - Meksikansk Restaurant & Taquilla Bar Sørenga (B 73.8%, https://directindex.org/r/coyorestaurant.no); Big Horn Steak House (B 70.8%, https://directindex.org/r/bighorn.no); Troys (C 56.5%, https://directindex.org/r/troys.no); CASBAR (C 55.4%, https://directindex.org/r/casbar.no); Campo de' Fiori (D 48.8%, https://directindex.org/r/campo.no). With the three fixes above (No structured data for the business; Ordering only through foodora; No working HTTPS), the score would be about 95.4%. That would be 6th of 779 in Oslo, up from 463rd. ## The direct record What agents get for Agave Mexican Restaurant, as JSON: https://directindex.org/api/direct/agavemex.no - Book: none on record - Order: none on record - Menu: http://agavemex.no/menu/ (html_page; from the scan) - Hours: none on record - Phone: +4721384860 - Stable links that count: https://directindex.org/go/agavemex.no/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, foodora: Not stated. The terms do not address an agent acting for a person (several bar scraping or data extraction only), could not be read on the date given, or the vendor has not been researched yet. Found one hop past the home page: menu page /menu/: ordering via foodora. ## Score breakdown | Component | Points | Available | |---|---|---| | Reachable | 22 | 25 | | Readable | 7 | 25 | | Actionable | 3 | 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/agavemex.no - 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/agavemex.no/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/agavemex.no/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=agavemex.no&force=1