Improve Discoverability Across LLMs and Retailer Search
ACE is GSPANN's PXM playbook for agentic commerce, helping brands make product data structured, semantically rich, consistent, and discoverable across LLMs, AI agents, and retailer search.
AI shopping experiences now recommend specific products. Incomplete, inconsistent, or hard-to-interpret product data can reduce a brand's visibility across these emerging discovery channels.
Fill required and recommended attributes against retailer schemas so LLMs and retail search have the product facts they need to form recommendations.
Rewrite titles, bullets, and descriptions in natural language that clearly explains what the product is, who it is for, and why it matters.
Align images with retailer specifications, improve descriptive alt text, and strengthen visual content for AI-led product discovery.
Keep names, weights, ingredients, identifiers, and other product facts consistent across retailer PDPs, brand.com, Google Shopping, and other channels.
Monitor attribute drift and retailer schema changes so product data stays current instead of reverting after a one-time cleanup.
Start with a focused readiness audit to identify attribute, content, rich-media, consistency, and governance gaps across your priority products.
