Executive Summary

The commerce landscape is undergoing its most significant transformation since the shift from brick-and-mortar to e-commerce. Consumers are increasingly bypassing traditional search engines in favor of AI-powered answer engines like ChatGPT, Google Gemini, and Perplexity for product discovery.

Original research from Asva AI's analysis of over 50,000 product queries across 200+ brands reveals the mechanics, metrics, and strategies that drive product visibility. We introduce a comprehensive measurement framework including Share of Voice (SOV), Citation Rate, Absence Rate, and Price Competitiveness.

Key Research Findings

AI platforms now influence 10% of product discovery

Query fan-out architecture analyzes ~100 sources per query

12 core parameters drive 80% of product visibility

First-mover advantage establishing category positioning

Strategic Impact

"Early movers are capturing 80% share of voice in emerging AI categories."

Audit Your Category

In This White Paper

1. The AI Commerce Revolution

Understanding the paradigm shift from search to agentic discovery.

2. Platform Architectures

Deep dive into ChatGPT Shopping and Gemini Universal Checkout.

3. Measurement Framework

How to calculate SOV, Citation Rate, and Absence Rate for AI.

4. Case Study: ITC Master Chef

Transforming frozen food visibility by 65% in 6 weeks.

5. Case Study: Amazon India

Maintaining dominance across home appliance categories.

6. The 12 Ranking Parameters

The variables that explain 80% of AI recommendation variance.

The AI Commerce Revolution