
Agentic Commerce Optimization FAQs
Agentic commerce refers to AI-powered shopping experiences where AI agents not only recommend products but also facilitate or complete purchases on behalf of consumers. Unlike traditional search, agentic commerce occurs within the AI interface itself. Users describe what they're looking for, and the AI presents purchasing options with integrated checkout.
Traditional feed optimization primarily focuses on Google Shopping, Meta, and other ad platforms that utilize structured taxonomies and clear requirements. Agentic commerce optimization requires your products to be comprehensible and trustworthy to LLMs, which evaluate completeness, consistency, content quality, and cross-source validation in ways that traditional feeds don't account for. Goodie bridges that gap, providing coverage on both ends.
An AEO‑native feature that closes the loop for agentic commerce: observe → diagnose → fix → attribute. One place to see how your products appear across AI surfaces, repair the gaps that block visibility and conversion, and prove the revenue impact.
Goodie currently monitors and optimizes for ChatGPT Agentic Commerce, Google AI Mode Shopping, Amazon Rufus, and Perplexity Shopping. We're adding new platforms monthly as AI shopping expands. Enterprise customers can request priority coverage for specific platforms relevant to their market.
Goodie handles most optimizations without requiring developer resources. You can deploy feed enhancements, generate optimized content, inject schema, and publish changes directly within the platform. For storefront-level changes, we provide export-ready files or API integrations that sync with Shopify, BigCommerce, and custom eCommerce platforms.
Goodie tracks AI-sourced traffic using UTM parameters, referrer data, and platform signals. We connect impressions and clicks to assisted carts and checkouts. Revenue is attributed at surface level (which AI platform) and SKU level (which products), with incrementality testing to measure net lift.
No. Whether you have 200 SKUs or 200,000, Goodie scales to your catalog size. Smaller catalogs benefit from detailed per-product optimization. Larger catalogs benefit from bulk operations, automated content generation, and feed-level remediation.
No. Whether you have 200 SKUs or 200,000, Goodie scales to your catalog size. Smaller catalogs benefit from detailed per-product optimization. Larger catalogs benefit from bulk operations, automated content generation, and feed-level remediation.
Traditional SEO tools optimize for link-based search engines like Google. Goodie is purpose-built for AI-native discovery, where answers are synthesized from multiple sources. While SEO tools help you rank in search results, Goodie helps you get recommended in AI shopping queries.
Yes. Goodie integrates with Shopify, BigCommerce, Google Merchant Center, Meta Catalog, Amazon Seller Central, and custom APIs. We also support analytics integrations (Google Analytics, Segment) and data warehouse syncing.
Most customers see measurable improvements in AI visibility within 2-4 weeks of deploying optimizations. Attribution data becomes statistically significant within 30-60 days, depending on traffic volume. The timeline varies based on catalog size, optimization velocity, and platform-specific refresh cycles.
Goodie is designed for consumer brand marketers, e-commerce directors, growth teams, and digital merchandisers who need to control how their products appear in AI shopping experiences and demonstrate that visibility drives revenue. If you're responsible for product discoverability and conversion across emerging channels, Goodie is for you.