# Capabilities & how they work

From source product information to structured, readable product facts.

Reviewed: 2026-09-06

## 1. Bring source information together

Catalog connects to product sources and gathers product information for processing. Shopify has an implemented connection and synchronization path. Access to other sources and platforms should be confirmed for the proposed engagement.

Sources: [Catalog website](https://www.getcatalog.ai/)

## 2. Structure and enrich product facts

Catalog organizes information into fields that can support product comparison: identifiers, attributes, descriptions, and contextual details such as use cases. Source material can include existing product information, images, reviews, and approved external material.

Enrichment requires evidence and review. Missing or conflicting source material can leave a fact unresolved; generated or extracted information should not be treated as infallible.

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

## 3. Publish an AI-readable storefront

A brand’s AI storefront can expose product information through readable pages and structured representations on a brand subdomain. It is a parallel information layer; a brand can retain its existing customer-facing website.

Publishing depends on product activation, configuration, and a working domain. Product information being published does not establish that an external assistant has indexed or used it.

Sources: [Catalog website](https://www.getcatalog.ai/)

## 4. Review information and assess visibility

Catalog provides product-data review and visibility-related workflows. Agree on which measurements are available for your store and what each metric captures before using them to evaluate results.

Observed AI traffic, a sampled recommendation, and attributed sales are different signals. None alone proves that Catalog caused incremental revenue. The illustrative dashboard on the marketing site is not a customer result.

Sources: [Catalog website](https://www.getcatalog.ai/)

## 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/capabilities
JSON: https://ai.getcatalog.ai/capabilities.json
Main company website: https://www.getcatalog.ai/