Make products, policies and customer journeys understandable to people and compatible assistants.
A currently deliverable assessment and improvement service covering structured product data, catalogue quality, crawlability, AI-traffic attribution, accessibility, merchant policies and human checkout journeys.
Merchant studies report gaps in structured data, AI-traffic identification and readiness, while consumer studies show substantially greater acceptance of assisted research than autonomous purchasing.
CodeVolt can work with you to assess where you stand, design a bounded approach and build toward a controlled, measurable result. We are honest about what is early-stage and what open questions remain.
Product information, policies and conversion paths are often inconsistent, difficult for machines to interpret and impossible to attribute reliably.
Retailers, service businesses and website owners preparing for AI-assisted discovery without replacing their existing commerce stack.
A Visa/PYMNTS merchant study reported limited AI-traffic identification and structured-data readiness.
https://www.visaacceptance.com/content/dam/documents/campaign/shopping-index/2026-global-digital-shopping-index-agentic-edition.pdfGartner reported stronger consumer willingness for AI-supported narrowing of choices than for AI purchase decisions.
https://www.gartner.com/en/newsroom/press-releases/2026-05-27-gartner-survey-finds-consumers-want-ai-shopping-help-but-not-ai-purchase-decisionsThese are questions CodeVolt is still working through. Naming them is part of the honest framing of this capability.
There is genuine thinking behind this capability. If you are working through a similar problem, we would like to hear about it.
Start a conversationWe review suitability before agreeing any work.