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Thought leadership on AI commerce and product data intelligence. Perspectives from the team building the future of e-commerce content.
Trust Is the New Currency of AI
In a world where AI agents make product recommendations, the entity that provides the most trusted, most structured data wins. Not the prettiest website. Not the biggest ad budget. The best data.
Read articleYour Most Important Customer Isn't Human
The next wave of product discovery is AI-mediated. ChatGPT Shopping, Google AI Overview, Amazon Rufus — these agents don't read marketing copy. They query data layers.
Read articleThe $200 Billion Copy-Paste Problem
E-commerce is a $6 trillion industry built on a foundation of broken product data. Companies mine gold — detailed specifications, lab-tested measurements — then smash it into a generic brick and copy-paste it everywhere.
Read articleWhy Your Google Shopping Titles Are Costing You Money
Your Google Shopping title gets truncated at 70 characters on mobile. If your brand name and model number don't fit, you're invisible.
Read articleThe FAQ Nobody Writes (But Everyone Searches For)
Your customers have 50-100 specific questions about every product you sell. They're asking them on Reddit, YouTube, and Google. Your product page is silent.
Read articleAmazon's 250-Byte Trap
Amazon's backend keyword field has a 250-byte limit. Not characters — bytes. An umlaut is 2 bytes. One byte over and Amazon silently ignores the entire field.
Read articleDo We Even Need the Website Anymore?
If AI-to-AI commerce is the future — my agent reading your data layer, checking confidence scores, filtering by Smart Negatives — do we even need the product page?
Read article2028: Every Customer Has an AI Agent
Every consumer has a personal AI that knows their preferences, budget, and body measurements. It scans data layers, matches by compatibility, checks confidence scores, and makes purchases.
Read articleHow Commerce Learns to Improve Itself
Every customer interaction with the Product Intelligence Widget reveals what matters. The widget learns. The enrichment sharpens. The data compounds. After 24 months, the moat is unreplicable.
Read articleStay ahead of AI commerce
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