# Getting started

Start with your product-data problem and confirm a concrete setup scope.

Reviewed: 2026-09-06

## Book a demo or request an audit

Use the existing demo scheduling link to speak with Catalog, or request a product-data audit through the main website. The audit form asks for contact details and the brand website; the team follows up by email.

Sources: [Catalog website](https://www.getcatalog.ai/) · [Request a product-data audit](https://www.getcatalog.ai/audit)

## What to bring

Bring your brand website, commerce platform, examples of difficult product questions, and the sources available to answer them. Identify the channels and measurements that matter to your team.

Sources: [Catalog website](https://www.getcatalog.ai/) · [Request a product-data audit](https://www.getcatalog.ai/audit)

## Agree on access, review, and launch

Confirm the source connection, workspace setup, products to include, review process, and domain configuration with Catalog. Establish how you will check published content and what evidence will count as success.

Launch time depends on access, source quality, catalog size, review, and DNS. This reference does not promise a fixed turnaround. Pricing and commercial terms must be confirmed with the team; no purchasable plan is offered here.

Sources: [Catalog website](https://www.getcatalog.ai/) · [Request a product-data audit](https://www.getcatalog.ai/audit)

## 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/getting-started
JSON: https://ai.getcatalog.ai/getting-started.json
Main company website: https://www.getcatalog.ai/