Maki-San
hoki178ss.com is largely invisible to agents.
See what an AI agent reads on this site →
25 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
- 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 for a restaurant. It is the one block every assistant reads first. How to fix it
- No booking or ordering path at all +15 points
Agents have nothing to act on. Add a booking or ordering page on your own domain. 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 Singapore. 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.
- AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all received a normal response.
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; add priceRange if you like. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FastFoodRestaurant",
"name": "Maki-San",
"url": "https://www.rollwithmakisan.com/",
"telephone": "+65 8218 4204",
"email": "moshimoshi@rollwithmakisan.com",
"address": {
"@type": "PostalAddress",
"streetAddress": "Sengkang Square 1",
"postalCode": "545078",
"addressLocality": "Singapore"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 1.3919961,
"longitude": 103.8948471
},
"openingHours": "Su-Th 11:30-21:30; PH -1 day,Fr-Sa 11:30-22:00",
"servesCuisine": [
"japanese",
"sushi",
"salad"
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Maki-San > fast food restaurant (japanese, sushi, salad) in Sengkang Square 1 545078 Singapore, Singapore. Phone +65 8218 4204. ## Opening hours Su-Th 11:30-21:30; PH -1 day,Fr-Sa 11:30-22:00 ## About - Website: https://www.rollwithmakisan.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
377 of 710 in Singapore
Top 53% of the sites scanned in this index. Just above: Jia Xiang Sarawak Kolo Mee F, Krispy Kreme F. Just below: Marina Bistro F, Nana's Green Tea F.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 88% | no |
| Publish the menu or price list as HTML | 96% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 96% | yes |
| Structured data with address, phone and hours | 38% | no |
| Have an llms.txt | 29% | no |
The top tenth is the 72 best-scoring reachable sites of the index at the last refresh.
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Krispy Kreme donut | 21 m | F | no |
| Pepper Lunch teppanyaki | 23 m | B | yes |
| Ajisen Ramen japanese | 32 m | D | no |
| Yoshinoya beef_bowl | 35 m | C | no |
| Swensen's ice_cream, fish_and_chips, pasta, burger | 49 m | B | yes |
| Mr Bean | 49 m | D | no |
| Mister Donut donut | 894 m | F | no |
| KFC chicken | 1.0 km | C | yes |
| McDonald's burger | 1.1 km | B | yes |
| Tenderbest Makcik Tuckshop | 1.4 km | C | yes |
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.
| 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 | 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/hoki178ss.com"><img src="https://directindex.org/badge/hoki178ss.com.svg" alt="Agent-Direct Score F" 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.