Café Velazquez
cafevelasquez.com is partly visible to agents.
Menu: cafevelasquez.com/#os-nossos-pratos
See what an AI agent reads on this site →
36 of 65 points available
agent-readiness level, Basic Web Presence
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
- No structured data for the business +14 points
Add schema.org JSON-LD for the business (CafeOrCoffeeShop, BarOrPub or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it
- 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
- 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 cafes and bars. List your agency or yourself: free, reviewed by hand.
Already right
- robots.txt lets AI crawlers in No rule blocks the key AI user agents.
- AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all received a normal response.
- Menu or price list is an HTML page Agents can read items and prices directly.
Builder: unknown · Front: cloudflare
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.
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": "BarOrPub",
"name": "Café Velazquez",
"url": "https://cafevelasquez.com/",
"telephone": "+351 22 509 55 88",
"address": {
"@type": "PostalAddress",
"streetAddress": "Praça de Francisco Sá Carneiro 301",
"postalCode": "4200-314",
"addressLocality": "Porto"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 41.1631727,
"longitude": -8.5917992
},
"hasMenu": "https://cafevelasquez.com/#os-nossos-pratos"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Café Velazquez > bar or pub in Praça de Francisco Sá Carneiro 301 4200-314 Porto, Porto cafes and bars. Phone +351 22 509 55 88. ## Book or order directly - Menu: https://cafevelasquez.com/#os-nossos-pratos ## About - Website: https://cafevelasquez.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
26 of 71 in Porto cafes and bars
Top 37% of the sites scanned in this index. Just above: Simpli C, Base Porto C. Just below: SO Coffee Roasters C, 17° Bar D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 70% | no |
| Publish the menu or price list as HTML | 50% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 90% | yes |
| Structured data with address, phone and hours | 20% | no |
| Have an llms.txt | 50% | no |
The top tenth is the 10 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 653 sites | 63% | 34% | 55.4% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Bom Dia Caffe | 158 m | F | no |
| Confeitaria Labareda | 883 m | B | no |
| Confeitaria Doce Alto | 1.4 km | B | yes |
| Café Passaporte | 1.4 km | C | no |
| e-Learning Café da Asprela | 1.6 km | D | no |
| Lounge Nr1 | 1.7 km | F | no |
| 17° Bar portuguese | 1.8 km | D | no |
| von&vonnie microroasters | 1.8 km | C | no |
| Nata7 pastel_de_nata, coffee | 1.9 km | F | no |
| Letraria - Craft Beer Garden | 1.9 km | D | no |
Level 1 of 5, Basic Web Presence
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 | yes |
| AI bot rules in robots.txt | yes |
| Content Signals in robots.txt | no how |
| Markdown on Accept: text/markdown | yes |
| 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 | no |
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.
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/cafevelasquez.com"><img src="https://directindex.org/badge/cafevelasquez.com.svg" alt="Agent-Direct Score C" width="236" height="40"></a>
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.
Deep report Ten questions the way people ask, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF: 19 EUR, one-off.