AI Shopping Changes How Products Get Discovered
Customers are increasingly using AI assistants to research and compare products before visiting your storefront.
These AI buyer agents don't evaluate products like humans — they rely on structured data, clear attributes, semantic signals, and contextual relevance.
If your catalog isn't optimized for AI interpretation, products may never be considered, regardless of price or brand quality.
Banavo Is The Intelligence Platform for Agentic Commerce
Evaluate
See how AI shopping engines evaluate your catalog. We surface the issues preventing products from being recommended by AI agents.
Each SKU gets a prioritized score showing exactly what to fix first.
Evaluate Product Catalog Gaps
Agentic Sales Channel Health
Enhance
Structured attributes and clear variant relationships are essential for AI understanding. Missing or inconsistent data can cause mapping errors, dropped variants, and lost product visibility.
Our agents fill gaps, resolve variant relationships, and organize product data so items are accurately grouped, compared, and recommended.
Agentic Catalog Overview
Agentic Metadata Studio
Monitor
See how your products appear across AI shopping engines. Outputs are scored for visibility, data quality, and competitive positioning so teams know where products are winning or falling behind.
Every issue connects to an actionable fix, helping you quickly optimize what matters next.
SKU Attribution
Agentic Channel Performance Overview
OpenAI Agent Channel Performance
UCP Enabled Agent Performance
Banavo Chat:
Business Intelligence You Can Talk To
Understand what’s happening, why it’s happening, and what to do next — all through conversation.
Connect Every Signal That Powers Your Business
Banavo unifies your commerce, marketing, and operational data so agents can surface insights and drive actions across every channel.
