# Pizza d'Ô: Agent-Direct Score C (66.2%)

Site: http://pizzado.fr/
Report: https://directindex.org/r/pizzado.fr
Scanned: 2026-10-20 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
Pizza d'Ô is partly visible to agents.
An AI assistant can open Pizza d'Ô's website. It can't find a menu or price list, so it answers from other sites. To book or order, it is sent to Uber Eats, a marketplace.

## Direct links
- Phone: +33467526100
- Hours, from OpenStreetMap · Overture Maps: Mon–Tue 11:30–13:45, 18:30–22:00; Wed closed; Thu–Fri 11:30–13:45, 18:30–22:00; Sat closed; Sun 18:30–22:00
- Prices: 275 prices on the site, the middle one €12.00

## Nearby, also direct
Places near Pizza d'Ô that take a booking or an order on their own website, with no marketplace in between.
- Pizza Pierrot & Fils (1.4 km): https://directindex.org/r/pizzapierrot.com
- Yamma pizza Montpellier (3.1 km): https://directindex.org/r/yammapizza.fr
- Pizza Delizia Montpellier - PIzzeria au feu de bois (3.4 km): https://directindex.org/r/pizza-delizia.fr
- Show Pizza (3.4 km): https://directindex.org/r/restaurantcabanas.com

## What to fix first
- **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 menu or price list found.** (+7 points) Agents answer 'what do they offer?' from marketplaces instead. Add a page with the menu or price list and link to it from the homepage. Guide: https://directindex.org/guides/menu-pdf-ai
- **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 Montpellier, 9.5% of comparable sites declare one.
- **275 prices on the landing page, the middle one €12.00.** In Montpellier, the middle price of comparable sites that show prices is €14.70.

## Fix kit: What to paste

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

```
# Pizza d'Ô

> restaurant (pizza) in Montpellier. Phone +33467526100.

## Opening hours

Mo,Tu,Th,Fr 11:30-13:45,18:30-22:00; Su 18:30-22:00; We off

## About

- Website: http://pizzado.fr/
- 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
- **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
157 of 363 in Montpellier. Top 43% 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 | 95% | no |
| Let AI crawlers in (no block at the server or in robots.txt) | 100% | yes |
| Structured data with address, phone and hours | 51% | yes |
| Have an llms.txt | 22% | no |

Nearest places with a similar menu: Pizza Pierrot & Fils (B, 1398 m, https://directindex.org/r/pizzapierrot.com); House Pizza (F, 1534 m, https://directindex.org/r/house-pizzas.fr); O Soleil du Triolet (C, 2154 m, https://directindex.org/r/soleildutriolet.com); L'Entr'deux (C, 2400 m, https://directindex.org/r/restaurant-lentrdeux.fr); Spizza34 (D, 3038 m, https://directindex.org/r/byclickeat.fr); Yamma pizza Montpellier (A, 3069 m, https://directindex.org/r/yammapizza.fr); Pizza Delizia Montpellier - PIzzeria au feu de bois (A, 3408 m, https://directindex.org/r/pizza-delizia.fr); Show Pizza (C, 3413 m, https://directindex.org/r/restaurantcabanas.com); Don Peppino (F, 4179 m, https://directindex.org/r/breastinstitute.info); Cheezy pizza (C, 4294 m, https://directindex.org/r/cheezy-pizza.fr).

## 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 Montpellier and named 69 places. Pizza d'Ô wasn't one of them. See who was named: https://directindex.org/city/montpellier/recommended


Compared with its peers: Sites using Uber Eats 62% (33% A or B, 1718 sites); This site 66.2%.

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

## Businesses like Pizza d'Ô in Montpellier

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Montpellier | 363 | 58% | 39% | 66.2% |
| Sites using Uber Eats in Montpellier | 12 | 61% | 17% | 66.2% |

The best of the sites using Uber Eats in Montpellier: J'aime ma crêpe (A 100%, https://directindex.org/r/oanabrunch.fr); Brasserie du Corum (B 72.3%, https://directindex.org/r/brasserieducorum.fr); Krispy's (C 66.2%, https://directindex.org/r/krispys.fr); Subway (C 62.5%, https://directindex.org/r/subwayfrance.fr); Bisciu (C 56.9%, https://directindex.org/r/xn--bisci-5ua.fr).

With the three fixes above (Ordering only through ubereats; No menu or price list found; No working HTTPS), the score would be about 100%, which would be first of 363 in Montpellier.

## The direct record
What agents get for Pizza d'Ô, as JSON: https://directindex.org/api/direct/pizzado.fr
- Book: none on record
- Order: none on record
- Menu: none on record
- Hours: Mo,Tu,Th,Fr 11:30-13:45,18:30-22:00; Su 18:30-22:00; We off (closed now) (from OpenStreetMap)
- Phone: +33467526100

## 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 | 22 | 25 |
| Readable | 18 | 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/pizzado.fr
- 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: yes

Keep watching this business (https://directindex.org/r/pizzado.fr/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/pizzado.fr/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=pizzado.fr&force=1