Read twice.

Amazon Web Services has backed PokPok from day one: startup credits, an Amazon-funded architecture review, and a full migration built by its partner SnapSoft. For brand teams and agencies, that means a report engine that delivers in about 12 minutes and scales when a hundred brands order on the same morning.

ChatGPT recommends a rival when it reads the rival's pages as a clearer answer to the buyer's question than yours. PokPok shows direct-to-consumer founders and small brands where ChatGPT's reading of their brand splits from how people read it, on the same 17 markers, and what to fix first.

A brand drifts when every channel, retailer and AI engine retells it in its own words. PokPok reads the website, top social content, Amazon pages and AI answers on one framework of 17 markers, so enterprise brand teams see exactly where the stories split and which gap to close first.

An agency can answer “why change this?” with a ranked list of gaps between how people and AI read the client's brand, each with its evidence. PokPok collects 300 or more data points per brand in minutes, so the strategist starts the brief with proof instead of hours of manual research.

PokPok scores every brand on 17 markers of brand perception, built on decades of brand science from Aaker, Kapferer, Sharp and Kahneman to Cialdini, and on 25 years of strategic brand work. Each marker is read twice, once as people read the brand and once as AI reads it, which makes the gap between them measurable.