ovalroom.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.
Add schema.org JSON-LD for the business (Restaurant, LocalBusiness or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine and acceptsReservations). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it
Agents have nothing to act on. Add a booking or ordering page on your own domain. How to fix it
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
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 Washington, DC. List your agency or yourself: free, reviewed by hand.
Builder: wordpress · Front: cloudflare
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.
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": "The Oval Room",
"url": "https://www.ovalroom.com",
"telephone": "+1 202-463-8700",
"address": {
"@type": "PostalAddress",
"streetAddress": "Connecticut Avenue Northwest 800",
"postalCode": "20006",
"addressLocality": "Washington"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 38.9005966,
"longitude": -77.038562
},
"servesCuisine": [
"american"
]
}
</script>
Save as /llms.txt at the root of the site. Guide.
# The Oval Room > restaurant (american) in Connecticut Avenue Northwest 800 20006 Washington, Washington, DC. Phone +1 202-463-8700. ## About - Website: https://www.ovalroom.com - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
The ranking refreshes hourly; this site joins it on the next refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with WordPress 36,794 sites | 58% | 28% | 38.5% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| P. J. Clark's american | 228 m | C | yes |
| The Cheesecake Factory american | 451 m | A | yes |
| Equinox on 19th american | 463 m | B | no |
| Founding Farmers american | 520 m | B | yes |
| Old Ebbitt Grill american, seafood, steak_house | 534 m | B | yes |
| The Prime Rib american | 659 m | B | yes |
| The Brown Bag american | 665 m | B | yes |
| The Green Bee bagel, coffee_shop, american, breakfast, tea | 692 m | A | yes |
| Ruth's Chris Steak House american, steak_house | 755 m | F | no |
| Proper 21 american | 772 m | C | yes |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Built with WordPress in Washington, DC | 275 | 73% | 65% | 38.5% |
Agora A 100% · BibBop A 100% · Bibibop A 100% · Copper Canyon Grill A 100% · Fogo de Chão A 100%
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
No direct path on record: the scan of 2026-10-14 found no booking or ordering link on ovalroom.com or on a vendor's site. The same record is served as JSON at /api/direct/ovalroom.com, through the MCP tool direct_record and in the city feed /city/washington/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | none on record | |
| Hours | none on record | |
| Phone | +1 202-463-8700 |
Owners: claim the business below to correct this record; the claim email carries the link.
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 | not measured |
| ACP discovery document /.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol | not measured |
| 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 | not measured |
Not measured at this scan; the next scan measures it.
The next scan also reads the contact, menu and booking pages one hop deeper; facts found there can change the score.
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 | 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 |
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.
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/ovalroom.com"><img src="https://directindex.org/badge/ovalroom.com.svg" alt="Agent-Direct Score F" width="236" height="40"></a>
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.