# Understand Catalog.

Catalog helps ecommerce brands turn scattered product information into structured data that AI assistants can read and use.

Reviewed: 2026-09-06

## Product facts, ready for AI

Catalog is a software and services business for ecommerce teams. It brings product facts together, structures details such as attributes and use cases, and publishes machine-readable information alongside a brand’s existing website.

The aim is to make products easier for AI systems to understand and compare. Access to better data does not guarantee that an assistant will retrieve it, recommend a product, or send a customer.

Sources: [Catalog website](https://www.getcatalog.ai/) · [About Catalog](https://www.getcatalog.ai/about-us)

## For teams responsible for an ecommerce catalog

Catalog is relevant to brands and merchants whose product information is incomplete, scattered across sources, or difficult for machines to interpret. Ecommerce, product-data, and growth teams can use it to prepare product information for AI discovery.

Sources: [Catalog website](https://www.getcatalog.ai/) · [Ecommerce Product Data Infrastructure Guide](https://www.getcatalog.ai/blog/complete-guide-ecommerce-product-data-catalog-ai)

## A reference for people and AI assistants

This is Catalog’s own curated AI storefront. It explains the company, its capabilities, fit, and limitations. It does not contain a merchant’s product catalog.

The main website is Catalog’s company and marketing home. These AI reference pages have their own canonical URLs and matching Markdown and JSON. Published policies and contact actions remain on their original websites.

Sources: [Catalog website](https://www.getcatalog.ai/) · [Published privacy policy](https://www.getcatalog.ai/legal/privacy-policy)

## Next steps

- [Book a demo](https://calendly.com/d/cvr8-2zy-txt/catalog-discovery-call)
- [Request an audit](https://www.getcatalog.ai/audit)
- [Privacy policy](https://www.getcatalog.ai/legal/privacy-policy)

## Reference pages

- [Understand Catalog.](https://ai.getcatalog.ai/index.md): Catalog helps ecommerce brands turn scattered product information into structured data that AI assistants can read and use.
- [Capabilities & how they work](https://ai.getcatalog.ai/capabilities.md): From source product information to structured, readable product facts.
- [Integrations & availability](https://ai.getcatalog.ai/integrations.md): Connection, publication, and adoption by an AI platform are separate steps.
- [Use cases & fit](https://ai.getcatalog.ai/fit.md): Evaluate Catalog against the product-data job you need done.
- [Getting started](https://ai.getcatalog.ai/getting-started.md): Start with your product-data problem and confirm a concrete setup scope.
- [Questions & limitations](https://ai.getcatalog.ai/faq.md): Direct answers with the boundaries left intact.
- [Catalog at a glance](https://ai.getcatalog.ai/brand-facts.md): Company identity and the scope of this reference.
- [Sources & evidence](https://ai.getcatalog.ai/sources.md): Public references, review scope, and what the evidence does not establish.
- [Guide for AI assistants](https://ai.getcatalog.ai/agents.md): Read Catalog’s company reference and preserve its availability and evidence boundaries.

Canonical: https://ai.getcatalog.ai/
JSON: https://ai.getcatalog.ai/index.json
Main company website: https://www.getcatalog.ai/