Shoppers already ask ChatGPT, Gemini and Google AI Mode what to buy, and each answer names 3 or 4 stores. The stores on that list today are the ones review sites, Reddit threads and buying guides already mention. Every month those sources keep naming them, and the gap gets harder to close.
An example answer for an invented store. The question stays the same. The sources behind the answer change.
If two or more of these are true, AI answers are sending shoppers in your category to someone else.
Pick your monthly online revenue and a share you would want AI answers to drive. The result is your own target, not a forecast.
Each month without a place on the list sends that revenue to the stores already named.
AI answers are slow to change. That cuts both ways.
days left to fix your product data before it.
days until gift and deal questions peak.
For a November start: your day 90 check, with the holiday season inside it.
Product data fixed against the 8 checks, feed cleaned, answer pages planned, 50 questions tracked from day 0.
New answer pages each month and outreach to the review sites and threads engines cite.
Your share of answers against day 0. We guarantee +5 points of share of answers on your 50 locked questions by day 90, or month 4 is free.
We run 50 real shopper questions across ChatGPT, Gemini, Google AI Mode, Perplexity and Copilot, score your 8 product data checks, and walk you through it on a 30-minute call.
How a shopper's question turns into a short list of stores, and the one number that tells you if you are on it.
Read the guide →What ChatGPT, Gemini, Google AI Mode, Perplexity and Copilot read before they recommend a product.
Read the guide →Score your Shopify store in 10 minutes, with the free tools to test each check yourself.
Read the guide →The service: what we fix, the first 90 days, pricing and a sample monthly report.
See the service →