Product.ai
Latest research AUGUST 10, 2026

We Asked Four AI Engines the Same 200 Shopping Questions. 78% Produced a Factual Conflict.

ChatGPT, Claude, Gemini, and Perplexity, five runs each, for 4,000 answers. Every headphone question in the set produced a conflict.

SF

Sean Fisher and Dakota Nunley

AI Content Strategist · Director of Content

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Industry Reports

Original surveys and market analysis

Industry Report

The 2026 Trust in AI Commerce Report

Product.ai's 2026 survey of 1,463 U.S. online shoppers: 43% used AI to research a purchase in 90 days; 86% of them verified it through another source first.

Product.ai Research

Whitepapers

How we verify commerce claims

Whitepaper

Anatomy of a Verdict: How SimplyCodes Adjudicates Truth in a Broken Economy

How SimplyCodes adjudicates coupon code truth using automated testing, human verification networks, and real-time fleet signal—and why the most valuable verdict is often 'there's nothing to find.'

Michael Quoc, Bri Stanback
Whitepaper

Axiomatic Intelligence: A Post-Probabilistic Architecture for the Age of Noise

Why probabilistic AI fails in commerce—and how Axiomatic Intelligence solves it through adversarial verification, pre-computed truth, and proprietary transaction signal.

Michael Quoc

What We're Building

Studies and first-hand accounts from the Product.ai team: what we tried, what broke, what we found, and the questions still open.

What We're Building

We Asked Four AI Engines the Same 200 Shopping Questions. 78% Produced a Factual Conflict.

Product.ai asked four AI shopping engines the same 200 real shopping questions, five times each, for 4,000 answers total. 78% of questions produced a confirmed factual conflict, and headphones hit 100%.

Sean Fisher, Dakota Nunley
What We're Building

Why Every AI Shopping Assistant Sounds the Same — and What It Took to Build One That Doesn't

AI shopping assistants converge to the same undifferentiated answer by design. This practitioner account documents how Product.ai tested whether pre-forging thousands of adversarially verified product truths — across smartphones, running shoes, and skincare — could produce answers that change purchase outcomes.

Jessica Ho
What We're Building

Forging Brand Identity Through Adversarial Collision: Product.ai's AxI-Driven Design System

How Product.ai built a complete brand identity in 42 days using the Axiom Distillation Protocol—$0 in agency fees, a molecular-geometry-verified mark, and a Glass Box design system where every decision is traceable.

Elena Madrigal, David Guzman

Industry predictions on the record

We make public predictions about where industries and products are headed, based on the verified product claims in our Truth Graph.

Each prediction is posted with a date, a deadline, and how we'll know if we were right. When the deadline arrives, we post the result, and you can see how we did. We never delete the misses.

Skincare Prediction Study, 2026–2027: Seven Calls on Where Skincare Science and Market Hype Diverge · logged April 29, 2026 Open the study ↗
1 right · 6 still open
01
The FDA authorises bemotrizinol as a sunscreen ingredient
Deadline Sept 2026 · happened June 10, 2026
Right
02
Peptide and growth-factor skincare hits a credibility crisis
By Q4 2027
Open
03
Tranexamic acid, not copper peptides, becomes the next retinol
By end of 2027
Open
04
Korean sunscreen displaces American SPF as the default recommendation
By end of 2026
Open
05
Peptides get repackaged rather than abandoned
By end of 2027
Open
06
Tallow skincare peaks and the backlash starts
By Q1 2027
Open
07
The niacinamide concentration correction
Through 2027
Open
The full scorecard, with the reasoning behind each prediction, is on the study itself.

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The methodology behind axiomatic intelligence. How claims become verdicts. How the Truth Graph works.

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