The Data We Use
With AI, Context Is Everything.
We build a living knowledge base for each customer and pull only the facts that matter for each task to deliver accurate, local results.
Customer Facts
Understands services, hours, locations, pricing, photos, and brand tone.
Direct Inputs
Considers owner preferences, differentiators, FAQs, and approvals.
Industry Context
Applies deep vertical-specific knowledge and industry terminology.
Market Signals
Includes search trends, competitors, reviews, local directories, and SEO data.
We didn’t start as software; We started as a marketing agency.
Our contextual knowledge comes from billions of interaction points across thousands of real SMBs, informed by internal industry marketers, and battle‑tested on live sites.
How the Engine Works
Knowledge Retrieval
Before the AI delivers, it looks up only the relevant facts from the knowledge base and uses those to generate content.
Context Routing
When something changes, such as business hours, we identify exactly which pages and elements to update
Feedback Loop
Our Technology
The Tech Stack We Use
Models
The Gemini family (Flash for speed, Pro for quality, Deep Thinking for complex reasoning).
Retrieval‑Augmented Generation
RAG pipeline to pull the exact facts needed from the knowledge base.
Context Cache
Proprietary caching layer for speed and consistency across tasks.
Our Approach
Our approach keeps SMBs aligned with their local markets, ensures the safety and polish of a human agency, and powers it all with an efficient tech stack, so you don’t have to.
FAQ
