AimissionHQ connects AI discovery, buyer intent, storefront behavior and revenue — so merchants can understand not only how AI finds their products, but what AI-referred shoppers actually do next.
An early AimissionHQ deployment showed that declared buying missions can reveal substantially different commercial behavior from the store-wide baseline.
Observed conversion among the measured declared-intent cohort versus a 2.5% general store baseline.
5 orders across 6 confirmed caregiver-mission sessions — an early directional signal, not a generalized benchmark.
Revenue attributed in the Circleflag production dataset to conversational-AI purchase activity.
AI commerce is not only a search problem. It becomes much more valuable when discovery, buyer intent, checkout and merchandising are connected.
AI conversations can contain valuable context that traditional storefront analytics cannot see.
"Direct / None." Viewed three products. Left the store. Maybe purchased. Maybe not. The reason behind the visit remains largely invisible.
"Buying for an elderly parent living alone." The merchant can connect the AI-referred session to the declared mission, products considered, completed order and the merchandising opportunity revealed by that behavior.
Your public catalog and your real shoppers are two different sources of intelligence. AimissionHQ connects both.
Analyze what AI search and recommendation systems can understand from your public storefront.
Go beyond visibility and observe the commercial behavior that follows an AI recommendation.
The valuable signal is understanding what that visitor was trying to accomplish — and whether your catalog gave them a complete path to purchase.
AimissionHQ is designed to move from observation to action — not simply produce another dashboard.
Capture AI discovery and referral signals alongside storefront activity.
Group shopper behavior around concrete buying missions rather than isolated page views.
Surface catalog gaps and prioritize merchandising opportunities.
Apply approved changes to product pages, bundles, guides, FAQs and category structure.
Compare commercial outcomes against store-normalized baselines and defined cohorts.
Feed observed outcomes back into future opportunity prioritization.
A merchant cannot measure or convert AI-referred demand if AI systems cannot first understand the catalog.
AEO/GEO helps improve the information AI systems can discover and understand — including product facts, use cases, category relationships, structured data and machine-readable content.
See the AEO/GEO Intelligence Guide →AimissionHQ adds the missing commercial layer: identify AI-referred shoppers, understand their buying missions, connect activity to orders and turn observed demand into merchandising action.
We are working with a small group of forward-thinking PrestaShop merchants to validate the complete AI commerce loop — from AI discovery and buyer intent to merchandising action and measured commercial outcomes.
See what AI systems can understand about your catalog before connecting live buyer intelligence.
Get Your Free AI Audit →A few common questions about AI search visibility, buyer intent and commerce attribution.
AimissionHQ is an AI commerce intelligence platform. It connects AI search visibility, conversational buyer intent, ecommerce attribution and merchandising action. The goal is to help merchants understand not only whether AI systems can discover their products, but what happens when AI-referred shoppers arrive.
AEO and GEO focus on helping AI systems discover, understand and potentially recommend your catalog. AimissionHQ extends that visibility layer into the storefront by connecting AI referrals to buyer missions, completed orders and merchandising decisions.
AI assistants can send shoppers through environments where conventional referral information is incomplete or missing. AimissionHQ combines additional attribution signals with storefront telemetry and declared intent to provide more context around AI-referred sessions.
The audit evaluates public catalog structure, machine-readable product information, crawlability, semantic product understanding, buying-mission coverage and related AI-commerce readiness signals.
AimissionHQ currently supports PrestaShop 1.7 and PrestaShop 8 through its native module. Shopify and WooCommerce support are currently in development.
Start with a free AI Commerce Audit to identify catalog visibility and buying-mission opportunities before connecting live buyer intelligence.