Guides

Getting started with catalog intelligence

A short path through CatalogIntel — from a product-data question to a decision. Follow it in order, or jump to the step that matches where you are.

Catalog intelligence covers a lot: structure, quality, enrichment, governance, and how AI systems read product data. This guide is a route through it. Each step points to the pages that go deeper.

  1. 1. Understand the concept

    Begin with the parent topic to see how the pieces connect. Read the Catalog Intelligence pillar and the answer What is catalog intelligence?

  2. 2. Diagnose your situation

    Name the problem you actually have. The Answers library covers the common ones — why product data is messy, why products don't show up in search, and who owns product data.

  3. 3. Learn the fundamentals

    Work through the four topic pillars, each with its own answer cluster: structured product data, product data quality, AI product discovery, and agentic commerce.

  4. 4. See who does what

    Understand the platform landscape neutrally through the vendor directory and the plain-language vendor answers.

  5. 5. Compare approaches

    Weigh options against each other and against building it yourself on the comparison pages.

  6. 6. Gauge your own catalog

    Learn how quality is measured so you can assess where you stand: How do you measure catalog quality? and What is catalog quality scoring? When you're ready to act, the Catalog Quality Audit guide walks through the steps.