Brusco
brusco.pt is partly visible to agents.
Listed by Overture Maps.
See what an AI agent reads on this site →
36.7 of 65 points available
agent-readiness level, Not Ready
things to fix
Provisional: the action test and the assistant citation check still to come; the hatched part of the bar is not measured yet.
What to fix first
- Ordering only through ubereats +12 points
Every agent transaction goes through the marketplace and its commission. Add a direct path on your own site, even a simple form. How to fix it About this vendor
- Structured data is incomplete +7 points
Missing: address, telephone, opening hours. How to fix it
- Menu or price list is an image +6 points
Agents cannot read it. Publish it as text. How to fix it
- The server turns AI crawlers away at the door +3.3 points
Live fetches as GPTBot (http_403) were refused while a normal browser got the page. This is usually a hosting or firewall bot list the owner never chose. Ask the host to allow these user agents. How to fix it
- No llms.txt no points, still worth doing
Optional today, cheap to add: a short text file describing the business for language models. How to fix it
No one is listed yet to fix this in Porto. List your agency or yourself: free, reviewed by hand.
Already right
- robots.txt lets AI crawlers in There is no robots.txt, which allows everything.
- Structured data present (Restaurant) but without address, phone or 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. Read 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en. An assistant that is not a partner may not finish the step there; a direct path on your own domain works for all of them.
Builder: unknown · Front: cloudflare · Cloudflare in front; AI crawlers blocked at the edge
What to paste
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on your builder is in the guides.
Show the code to paste
Structured data (JSON-LD)
One block in the page's head, or in the builder's custom-code slot. Replace anything that is wrong. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Restaurant",
"name": "Brusco",
"url": "https://brusco.pt",
"address": "Ala Sul da Estação Ferroviária de São Bento, 4000-328, Porto",
"geo": {
"@type": "GeoCoordinates",
"latitude": 41.145151,
"longitude": -8.608896
},
"servesCuisine": [
"burger"
],
"hasMenu": "https://brusco.pt/img/BRUSCO-MENU.png"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Brusco > restaurant (burger) in Ala Sul da Estação Ferroviária de São Bento, 4000-328, Porto, Porto. ## Book or order directly - Menu: https://brusco.pt/img/BRUSCO-MENU.png ## About - Website: https://brusco.pt - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
How Brusco compares
208 of 492 in Porto
Top 42% of the sites scanned in this index. Just above: Domo Domo C, LI JIN C. Just below: Buga Ramen Ribeira C, Nola Kitchen C.
| What the top tenth 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 | 86% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 88% | no |
| Structured data with address, phone and hours | 28% | no |
| Have an llms.txt | 36% | no |
The top tenth is the 50 best-scoring reachable sites of the index at the last refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites using Uber Eats 661 sites | 63% | 34% | 56.5% |
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Burger King burger | 244 m | F | no |
| DeGema Hamburgueria burger | 494 m | C | yes |
| Holy Sandwich Shop burger | 658 m | B | yes |
| Noshi breakfast, regional, burger, asian | 696 m | D | no |
| MBH burger | 839 m | C | no |
| BAO'S burger | 1.0 km | F | no |
| Tio Fafá Hamburgueria burger | 1.1 km | C | yes |
| Boulevard Burger House burger, fast_food | 1.2 km | F | yes |
| Curb burger | 1.2 km | F | no |
| Real Hamburgueria Portuguesa burger | 1.2 km | C | yes |
Businesses like Brusco in Porto
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Porto | 492 | 50% | 26% | 56.5% |
| Using Uber Eats in Porto | 12 | 65% | 42% | 56.5% |
The best of Using Uber Eats in Porto
Restaurante Senhor Zé A 100% · Bellano Cucina Italiana A 87.7% · Nonna Piazza B 81.5% · Café Santiago B 76.9% · Thamel B 72.3%
The climb
With the three fixes above (Ordering only through ubereats; Structured data is incomplete; Menu or price list is an image) the score would be about 94.9%: 7th of 492 in Porto, up from 208th.
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
What assistants answer
Each assistant is asked three questions about this business: the official website, where to book, where to order. The cell says where the answer sent people.
Not asked yet. Assistants are asked about the top-ranked businesses in each city index, and about every claimed business the moment it is claimed; claim this page to be included.
Own this business?
Fixed something, or think a check is wrong? Rescans are free. Claiming takes one email to confirm; after that the three assistants are asked about the business right away, the site is rescanned weekly, and you get a message only when the score changes.
Rescan now · Markdown · Dispute a check
Keep watching this business: the assistants asked again every month, with what changed; 2 EUR a month or 19 EUR a year. Deep report: ten questions to each assistant and the places nearby; 5 EUR once. Reading and scanning stay free; these few euros pay for the questions sent to the assistants and for the servers.
Send the fixes to your web person
Show the score
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/brusco.pt"><img src="https://directindex.org/badge/brusco.pt.svg" alt="Agent-Direct Score C" width="236" height="40"></a>
What agents get, and what the site publishes
The direct record an agent is served for this business, the rails it could transact through, and the agent standards the site publishes.
Show the details
What agents get for Brusco
The links an assistant is sent when it books, orders or reads the menu for this business, where each leads, and when a browser last checked it. The same record is served as JSON at /api/direct/brusco.pt, through the MCP tool direct_record and in the city feed /city/porto/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | brusco.pt/img/BRUSCO-MENU.png image | from the scan |
| Hours | none on record | |
| Phone | none on record |
Stable links that count: /go/brusco.pt/menu answer 302 to the links above; the count is the line "followed N direct links" on this page.
Owners: claim the business below to correct this record; the claim email carries the link.
Can an agent transact?
Measured, not scored: the Agent-Direct Score stays at specification v1.0. This says which rails an agent could transact through today, and what the booking or ordering vendor's terms allow.
| 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, read 2026-10-15 | 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. Source. About Uber Eats · all vendors.
Level 0 of 5, Not Ready
The standards an agent looks for before it reads a page, on the same criteria as Cloudflare's Agent Readiness scan. Not part of the score; each missing item links to a how-to. Cloudflare's report.
| Link headers on the homepage | no how |
| sitemap.xml | no how |
| AI bot rules in robots.txt | no how |
| Content Signals in robots.txt | no how |
| Markdown on Accept: text/markdown | no how |
| llms.txt | no how |
| API catalog (RFC 9727) | no how |
| MCP server card | no how |
| A2A agent card | no how |
| Agent Skills index | no how |
| OAuth or OIDC discovery | no how |
| OAuth protected resource metadata | no how |
| auth.md | no how |
| Web Bot Auth key directory | no how |
| ARD capability manifest | no how |
| DNS-AID records | no how |
| WebMCP tools on the page | no how |
| JSON-LD for the business | yes |