ReFiBuy revealed ACO Everywhere (Retailgentic), an evolved framework for Agentic Commerce Optimization that systematizes product-context capture across eight major surfaces: answer engines (ChatGPT, Gemini), retailer agents (Alexa), websites (search, reviews, FAQs), social media (TikTok, Pinterest, Instagram, YouTube), and offline operations. The framework operates on a three-step loop—Context Capture, Update Product Catalog, Publish—executed weekly to identify and close product information gaps that competitors might exploit.
The approach expands on ReFiBuy's earlier 9-step ACO methodology with two new steps: Multi-Surface Content Capture and Recursive Catalog Loops (Retailgentic). Rather than relying on traditional SEO or GEO metrics, ACO Everywhere produces visible, measurable results in under 30 days, allowing brands and retailers to start with their highest-priority agentic surfaces (answer engines for most retailers; retailer agents for most brands) and iterate based on actual context gaps discovered in LLM-generated product discussions. The weekly loop cadence enables merchants to run up to 18 optimization cycles before peak selling seasons.
For commerce practitioners, the competitive implication is direct: unanswered product information gaps become entry points for competitor products in AI-driven shopping contexts (Retailgentic). Since context is freely available across multiple surfaces but historically unmapped, ACO Everywhere systematizes the capture and publication workflow, turning scattered data into a continuous feedback engine that keeps product catalogs aligned with how AI agents and answer engines surface product information.