FitCandy
goldengranet.com is hard for agents to use.
See what an AI agent reads on this site →
28 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 (Restaurant, LocalBusiness or the closest type) with name, address, telephone and openingHoursSpecification, plus servesCuisine and acceptsReservations for a restaurant. It is the one block every assistant reads first. How to fix it
- No booking or ordering path at all +13 points
Only a phone number or WhatsApp. Agents cannot act on those yet. Add a booking or ordering page. How to fix it
- No menu or price list found +7 points
Agents answer 'what do they offer' from marketplaces instead. Add a menu or price list page and link it from the homepage. 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 Budapest. 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.
Builder: wordpress · 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 wordpress 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; add priceRange if you like. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FastFoodRestaurant",
"name": "FitCandy",
"url": "https://www.goldengranet.com/hu/",
"telephone": "+36306034343",
"email": "lovohaz21@goldengranet.com",
"address": {
"@type": "PostalAddress",
"streetAddress": "Lövőház utca 21",
"postalCode": "1024",
"addressLocality": "Budapest"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 47.5099174,
"longitude": 19.0247693
},
"openingHours": "Mo-Su 10:00-20:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [],
"opens": "10:00",
"closes": "20:00"
}
],
"servesCuisine": [
"cake",
"ice cream"
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# FitCandy > fast food restaurant (cake, ice cream) in Lövőház utca 21 1024 Budapest, Budapest. Phone +36306034343. ## Opening hours Mo-Su 10:00-20:00 ## About - Website: https://www.goldengranet.com/hu/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
476 of 1,034 in Budapest
Top 46% of the sites scanned in this index. Just above: Faház Önkiszolgáló Étterem D, Falatopia D. Just below: Foodstock D, Funny Burger & Pizza D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 64% | no |
| Publish the menu or price list as HTML | 80% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 93% | yes |
| Structured data with address, phone and hours | 37% | no |
| Have an llms.txt | 16% | no |
The top tenth is the 105 best-scoring reachable sites of the index at the last refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with WordPress 35,830 sites | 57% | 26% | 43.1% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Papa Gyrosa syrian | 55 m | D | no |
| Heavenly Kitchen & Bar hungarian, regional, burger, pasta, brunch, fried_food | 62 m | B | yes |
| Rétescake | 70 m | C | no |
| Buja Disznó(k) regional | 155 m | D | no |
| padthai wokbar Mammut thai | 162 m | F | no |
| KFC chicken | 237 m | C | yes |
| Pingrumba asian, middle_eastern, central_asian, indian | 261 m | D | no |
| Zappi pizza | 284 m | D | no |
| Arriba Taquería mexican | 310 m | D | no |
| Al Capone Pizzéria pizza | 320 m | F | 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.
| 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 | 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 | 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/goldengranet.com"><img src="https://directindex.org/badge/goldengranet.com.svg" alt="Agent-Direct Score D" 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.