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.
Most AI chatbot vendors can't clearly define what counts as a billable conversation. This post provides a conversation taxonomy, three criteria for meaningful interactions, quantifies the noise tax, and gives you five audit questions for your next vendor call.
Most ecommerce brands run three separate AI tools for shopping, support, and visibility. The integration tax alone adds 25-40% to total tech spend. Here is why the AI ecommerce stack is about to consolidate the same way martech did a decade ago.
Physical stores convert at 20-40%. Online stores at 2-3%. The gap isn't UX or page speed. It's the sales associate. This post breaks down why chatbots, recommendation engines, and live chat all fail to replicate in-store selling, and what a true AI shopping assistant does differently.
AI-driven traffic to retail rose 393% in Q1 2026 and converts 42% better. This maps the five-layer reference architecture for ecommerce AI visibility: from product data through structured markup, content optimization, monitoring, and the optimization loop.
Health and wellness products convert at 4.68% from AI-referred traffic, second only to beauty. But YMYL classification means AI engines apply extra scrutiny before recommending supplements and wellness products. These seven trust signals separate recommended health brands from invisible ones.
AI visibility shifts too fast for monthly reviews. This operational playbook breaks down the exact weekly workflow ecommerce teams need: prompt auditing, content refresh, schema validation, third-party monitoring, and KPI reporting across ChatGPT, Perplexity, and Google AI Overviews.