How much revenue are you leaving on the table?
AI shopping agents are projected to influence 3-8% of e-commerce traffic by 2027. Stores with higher readiness scores capture disproportionately more of that spend.
Industry Context: Why AI Readiness Has ROI
25% of U.S. e-commerce will be agentic by 2030
Source: Bain & Company, Dec 2025
Agentic shoppers could represent this much by 2030. 23% of Americans have already made AI purchases.
Source: Morgan Stanley, Dec 2025
US B2C agentic commerce opportunity by 2030
Source: McKinsey
Holiday revenue driven by AI agents -- 20% of all retail sales. Companies with AI agents saw 59% higher growth.
Source: Salesforce, Jan 2026
AI traffic converts 31% higher and drives 32% more revenue per visit vs non-AI traffic
Source: Human Security
Products with schema markup appear in AI shopping recommendations 3-5x more often
Source: BrightEdge / GetPassionfruit
Estimate Your AI Revenue Gap
Methodology
Projections are based on estimated AI shopping agent adoption rates by industry vertical, using publicly available forecasts from research analysts and protocol adoption trends.
The readiness conversion factor maps your Colter composite score (0-100) to the percentage of AI-driven traffic your store can actually convert. A score of 90+ means near-full capture; lower scores indicate missed opportunities due to missing protocols, poor discoverability, or incomplete structured data.
These estimates are directional, not guarantees. Actual results depend on product category, agent ecosystem evolution, and implementation quality. Based on data from 363 stores scanned by Colter.