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By Ekin Kahraman

January 25, 2026

How AI Shopping Engines Choose Which Stores to Recommend

Why do AI engines recommend your competitors instead of you? Discover the 3-gate decision framework—Authority, Data Consistency, and Entity Confidence—that determines who gets cited and who gets ignored.

An illustration representing e-commerce products being discovered and cited by AI shopping engines

An illustration representing e-commerce products being discovered and cited by ChatGPT

Why ChatGPT Recommends Your Competitors Instead of Your Store

You rank #1, but AI recommends your competitor. Why? Because algorithms don't trust your data. We break down the difference between 'findable' vs 'trustworthy' and the 5 signals you need to fix to stop getting ghosted by ChatGPT.

Google Agentic Shopping: The New Era of E-commerce Search

Google Agentic Shopping: The Complete Guide to Direct Offers & UCP

Google just launched the infrastructure for AI-native commerce. Here is your complete guide to Direct Offers, Universal Commerce Protocol (UCP), and winning in the AI shopping era.

How Often Should E-commerce Stores Update for AI? A 2026 Playbook

How Often Should E-commerce Stores Update for AI? A 2026 Playbook

60-70% of AI bot visits go to content updated within the past year. But each crawler runs on a different clock. Perplexity gives you 48 hours. ChatGPT gives you months. Here's what actually counts as 'fresh' for each one, and a step-by-step playbook for e-commerce stores to stay visible in 2026.

A cartoon illustration of a confused document file looking into a mirror that reflects three different personas: a wizard, a secure file, and an inspected document, symbolizing the many misconceptions of llms.txt.

Is llms.txt Useful for E-commerce? The Reality Check

Debunking myths about llms.txt for online stores. Learn why auto-generators fail, what the file actually does, and how to implement it correctly for AI search.