Are We witnessing
the Age of AI Revolution ?
February 24, 2020
John Okumu
AI, Technology
Two new product updates aim to help retailers use agentic AI more effectively by improving shopper trust and making product detail pages (PDPs) easier for machines to understand.
A new agentic commerce platform from Cimulate connects traditional site search with newer discovery channels, including answer engines and conversational commerce.
Cimulate’s CommerceGPT adds new features to improve the traditional site search experience and give digital teams tools to support two emerging shopping paths — offsite discovery in answer engines like ChatGPT, Perplexity, and Claude, and onsite shopping via conversational commerce. Cimulate’s latest offerings include Human Feedback, Commerce AEO, and Co-Pilot Analytics.
“Digital commerce is no longer confined to a search bar, keywords, and Google,” John Andrews, co-founder and CEO of Cimulate, told the E-Commerce Times. “Consumers are shopping through agents and expecting conversational experiences on brand sites. They need a single platform that connects old and emerging digital channels, and that’s the gap we’re bridging with this release.”
Marissa Jones, SVP of product at Bazaarvoice, said PDP optimization is more than a cosmetic refresh. Done right, it can drive conversions, build trust, and boost revenue. That means formatting PDP content so it’s machine-readable for AI, not just human-readable.
“Many PDPs still rely on content that looks rich visually but is effectively invisible to AI systems. Retailers that are winning have audited their PDPs to ensure ratings, reviews, and Q&A are machine-readable and properly structured,” she told the E-Commerce Times.
Platform Updates for Agentic Shopping
Cimulate redesigned its platform to address three pain points arising from new commerce trends. New features reinvent site search for modern commerce, provide better insight and control into how products appear within agentic systems, and enable more efficient integration of AI shopping assistant conversations.
LLM-powered search interprets natural language, context, and intent while reducing reliance on manual rules. The Human Feedback tool allows merchandisers to tune AI’s understanding of relevance. With this feature, the platform complements the scalability of machine intelligence with the precision of human judgment.

