Cost of Living and Comparison Shopping Trends
The UK cost of living squeeze is driving more comparison shopping. What this means for AI agents and structured product data.
Blog
Writing on product data, AI agents, and the infrastructure between them.
Cross-Merchant Product Matching with GTINs
How GTINs solve the product matching problem across retailers, where they fall short, and a practical matching strategy for product data services.
Data Freshness and Trust in Agent APIs
The staleness problem in product data, the cost of getting it wrong, and how to design APIs that are honest about data freshness.
MCP Tools for Commerce
What the Model Context Protocol means for commercial data services, how it changes agent tool discovery, and what a commerce MCP tool looks like.
The UK Electronics Price Data Landscape
Major UK electronics retailers, why electronics data is tractable for normalisation, and the real challenges of price data aggregation.
Affiliate Product Feeds: What Developers Need to Know
What affiliate product feeds are, what they contain, where they fall short, and how to work with them effectively as a developer.
Building for Agents, Not Humans
Why Aether has no consumer interface. Agent-first design priorities and the strategic advantage of staying invisible during validation.
How Affiliate Routing Works
The basic mechanics of affiliate marketing, how tracking works through redirect chains and cookies, and how Aether adapts the model for AI agents.
The Problem with Price Comparison for AI
Traditional comparison sites are built for humans, not agents. Why existing tools fail for AI and what a purpose-built data layer looks like.
Why Agents Need Structured Product Data
AI agents are increasingly asked to help with purchase decisions, but the product data they need doesn't exist in a usable form. Here's why that's a problem.