Optimization Guide

This section gives you the playbooks, checklists, and best practices to systematically improve your catalog's AI readiness scores. Whether you want quick wins or a comprehensive overhaul, start here.

Why optimization matters

AI shopping agents — ChatGPT, Google Gemini, Microsoft Copilot — are becoming a major product discovery channel. These systems rely on structured, complete, and accurate product data to make recommendations. The better your data, the more likely your products are to appear in AI-generated shopping suggestions.

Vantage measures how ready your catalog is. This guide shows you how to act on those measurements.

The 80/20 rule

Not all dimensions are weighted equally. The three highest-weighted dimensions — Title Quality, Description Quality, and Attribute Completeness — account for over 50% of your total score. If you're short on time, focus there first.

But don't ignore the lower-weighted dimensions entirely. They still contribute, and a product with strong titles but no images, no SKUs, and no category is still leaving significant points on the table.

What's in this section

• Improving Scores — A prioritized step-by-step playbook for maximum impact. Start here.
• Category Checklists — The specific attributes Vantage expects for each product category. Use these as fill-in checklists.
• Product Data Best Practices — What AI agents actually look for and how to structure your data for maximum visibility.
• Common Mistakes — The anti-patterns that hurt scores most. Check these before optimizing to avoid wasted effort.