Ashu Dubey is the Co-founder and CEO of Alhena where he is building transformative customer experiences using Agentic AI. Before Alhena, he drove product growth at LinkedIn.
AI engines don't just read your site. They triangulate from off-site sources to decide which products to recommend. Here are the 7 off-site citation sources that drive AI product recommendations, each with a tactical playbook for ecommerce brands.
ChatGPT processes 50 million shopping queries daily, pulling 75% of product data from Google Shopping. This guide breaks down the five ranking signals, what ChatGPT shopping analysis means for your product pages, and how to win recommendations across AI engines.
AI engines answer shopper questions by pulling from structured FAQ content. Brands with schema-marked, conversational Q&A on product pages get cited by ChatGPT, Gemini, and Perplexity. This guide covers how to build an AEO FAQ engine that turns real customer questions into AI search rankings.
Answer engine optimization (AEO) is how ecommerce brands get their products recommended by ChatGPT, Google AI Overviews, and Perplexity. This guide covers the six strategies that drive AI visibility, from structured data to on-site AI assistants.
A shopper asks ChatGPT for moisturizer recommendations. The AI mentions your brand but recommends a discontinued product. Brand-level monitoring calls that a win. SKU-level AI product discovery tracking reveals the revenue leak your current tools can't see.
ChatGPT drives 97% of LLM traffic to ecommerce sites, and those visitors convert at 2.47%, above Google Ads and Meta Ads. Three levers determine whether AI recommends your products or skips them: on-site data quality, off-site citations, and review signals.