Primary User
Shopify brands, ecommerce operators, and growth teams preparing for AI shopping agents
Agent conversion optimisation for Shopify brands
Bismion focuses on how ecommerce brands are selected by AI shopping agents, not only whether they are mentioned by AI systems.

Outcome Focus
Help merchants understand whether AI shopping agents choose their products and what evidence or content gaps may affect the verdict.
Primary User
Shopify brands, ecommerce operators, and growth teams preparing for AI shopping agents
Problem
AI shopping agents compare structured product facts, proof, policies, and competitor context, but many stores cannot see why agents choose another brand.
How it works
Agent-readiness audits combine store fact extraction, buyer-agent simulation, competitor context, losing-factor analysis, and approval-gated recommendations.
Current stage
Continue validating agent conversion workflows for ecommerce teams without presenting demo win-rate examples as achieved customer outcomes.
This product shows how Solvrz thinks about AI shopping-agent behaviour, merchant approval, and conversion evidence. Each brief stays grounded in product risk, architecture choices, operating constraints, and public proof.
Product Direction
A product for scanning a Shopify store, simulating AI buyer-agent decisions, identifying losing factors, and preparing merchant-approved fixes.
Store scan for product facts, schema, policies, FAQs, and trust signals
Buyer-agent simulation that shows what an AI agent picks and why
Merchant-approved fixes so recommendations do not publish automatically
Store Scan
Extracts product facts, schema, policies, FAQs, and trust signals from a store URL.
Agent Simulation
Runs buyer-style prompts against product and competitor context to observe which product an AI agent chooses.
Fix Review
Surfaces losing factors and proposed improvements for merchant approval before any change is published.
Evidence Points
Operating Risks
Related Product