Known
The Known pillar is about being understood by AI agents. It captures who a venue is, what makes it distinctive, and who it's for.
The challenge
A venue's website tells a human story. Photos, prose, design choices. Humans read between the lines.
AI agents need explicit structure. "Intimate" needs to mean something specific. "Romantic" needs to connect to occasions like anniversaries. "Design-forward" needs to be a recognisable category, not just a marketing phrase.
Known turns implicit character into explicit structure that agents can reason about.
What Known contains
Identity
Foundational facts. Name, type, location, ownership. The DID that anchors everything.
Vibe
Character and atmosphere. The primary feel, secondary dimensions, how it feels to be there.
Attributes
Concrete features. Amenities, facilities, capabilities. What's physically there.
Fit
Who it's for, and who it's not. Ideal guests, occasions, contexts. When this venue is the right choice, and when it isn't.
How Known is built
Groundry assembles Known from multiple sources:
- Existing content (websites, listings, descriptions)
- Direct input from the venue
- Third-party data where available
- Verification from trusted sources
The process structures this information into a consistent format. Claims link to evidence in the Trusted pillar.
An example
A boutique hotel's Known might include:
| Category | Content |
|---|---|
| Type | Hotel, boutique, 24 rooms |
| Vibe | Intimate, design-forward, locally-rooted |
| Amenities | Spa, restaurant, garden, EV charging |
| Ideal for | Couples, creative retreats, milestone celebrations |
| Occasions | Anniversaries, reconnection trips, digital detox |
When an agent receives a query like "somewhere quiet for a few days away from screens," this structure lets it match confidently rather than guess from keywords.
What agents can do with Known
- Match queries to venues based on character, not just category
- Describe venues accurately when recommending
- Explain fit to guests asking "why this place?"
- Filter appropriately when a venue wouldn't suit
The structure enables reasoning. An agent can understand that a family-friendly resort probably isn't right for a romantic weekend, even if both are "nice hotels."