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OLLY builds agentic commerce foundation with Claude and practical SEO | AI Best Practices for Commerce | AI Best Practices for Commerce
  1. News
  2. › AI-Powered Order and Customer Service Automation
  3. › Jul 1, 2026
AI-Powered Order and Customer Service AutomationWednesday, July 1, 2026
  • Retail / DTC › Health and Personal Care Retailers › Pharmacies and Drug Retailers
EcommerceLLMSearchAmazonOLLYShopifyUnileverWalmartRufus · amazonSparky · walmart

OLLY builds agentic commerce foundation with Claude and practical SEO

Jennifer Peters, Director of DTC and MarTech at OLLY (a Unilever supplement brand), shared her playbook for agentic commerce optimization on the Retailgentic podcast, focusing on catalog feeds, FAQ restructuring, and clean data architecture rather than AI hype. For commerce practitioners, her approach demonstrates that agentic readiness starts with fundamentals—schema cleanup, DAM integration, and treating the website as the authoritative source agents query first.

AI-generated. Summaries are AI-generated from cited sources. Click through for the original report.

Jennifer Peters, Director of DTC, MarTech, and Digital Compliance at OLLY (a Unilever-owned supplement brand), outlined a grounded agentic commerce strategy in a Retailgentic podcast episode, emphasizing practical wins over AI-for-AI's-sake initiatives (Retailgentic). Peters, a self-taught Shopify developer, highlighted concrete optimizations: catalog feed enhancement, FAQ additions to product detail pages using existing content, and AI-ready attributes pushed back by partners—none customer-facing (Retailgentic). Her philosophy: clean schemas and data structure deliver SEO and agentic benefits simultaneously.

For commerce practitioners, Peters' work reframes agentic optimization as an extension of foundational e-commerce discipline. She emphasizes connecting DAM, creative, and marketing stacks before layering AI on top, and notes that OLLY's website—previously 7 or 8% of revenue—is now the brand authority source agents consult first, including for third-party platforms like Walmart's Sparky and Amazon's Rufus (Retailgentic). Peters advises keeping existing OKRs and business goals unchanged while using AI to execute them faster, and validates recommendations by triangulating signals across multiple tools before acting.

Peters also flagged emerging headwinds: growing backlash against data centers, and a potential counterculture positioning

Sources:1 report
  • Retailgentic
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ShareLast updated: July 1, 2026