This guide covers what we typically set up in the first call and how we keep your restaurant’s information accurate for customers who ask questions through AI.

What we’re building

Create an AI-optimized knowledge base that helps AI models answer customer questions about a restaurant (e.g., availability, menus, catering) with high accuracy.

What we can connect (common restaurant data sources)

In many cases we can pull structured, up-to-date information from tools you already use.

• Examples of integrations: OpenTable
• Common uploads we can use as inputs: group dining menus, private event sheets, catering PDFs

How we keep menus current (recommended workflow)

Private events and sensitive pricing

Do not surface event package pricing initially; instead prompt prospects to contact the team for pricing.

Event pricing often needs negotiation and flexibility, and early price anchoring can discourage inquiries.

What we measure (so you can see the value)

AI-driven traffic to the knowledge base, clicks on links surfaced by the AI (e.g., reservations or contacting events), AI response accuracy and quality for detailed customer inquiries

The technical setup call

Most setups are quick:

• Typical duration: 20–30 minutes
• What we’ll need: Add a small code snippet to the website, Update a domain/DNS record

Helpful content you can send us

If you want the AI to answer nuanced questions the way your best staff member would, these inputs help:

voice recordings, documents, edited documents, sales call recordings (approved)

Where this is heading

Avoid requiring constant manual document edits by enabling automation and change detection for updates (e.g., detecting new prices).