Ecommerce brands track share of voice in SEO, paid search, and social media. But most can't tell you how often ChatGPT or Perplexity recommend their products. AI share of voice is the LLM brand visibility metric that fills that gap, and this guide shows you how to measure it.
AI search platforms like ChatGPT and Perplexity pull structured data differently than Google. This guide breaks down the four schema types, critical fields, and audit steps ecommerce brands need to make their products visible in AI-generated answers.
AI conversion lift by channel varies dramatically: TikTok 76x, Meta 13.1x, Google 6.1x. The multiplier maps to each visitor's information gap at arrival. Channel-aware AI strategies unlock disproportionate returns from your highest-spend traffic.
The Alhena Agentic Commerce Report analyzed 329 brands across the US and EU. These five findings, from LLM conversion rates to the 5.5x proactive engagement gap, show DTC founders where AI commerce stands today and what to do about it.
Brands deploying proactive AI see 5.5x higher engagement than passive chatbot setups. A four-stage maturity model shows the path from reactive support to autonomous AI-led commerce.
Across every channel analyzed, roughly 1% of visitors who engage with an AI shopping assistant account for approximately 10% of total revenue. This 10x revenue contribution redefines how brands should think about on-site conversion.