AI Studio unlocks AI-assisted capabilities across GrowthLoop, centered on the Studio experience in the app. Once AI Studio is enabled for a Dataset Group, your team can use natural language in Studio, see richer field descriptions in builders where available, and (with the right plan) receive Audience Discovery suggestions.

What AI Studio enables

• Use AI Studio — Chat with agents at Studio in the left sidebar: brainstorm audiences, attach goals, and iterate in /v2/studio.
• Context Manager — Define goals and text context so Studio conversations align with your marketing priorities (tab next to Studio).
• AI-generated field descriptions — Business-friendly explanations on dataset fields inside audience and journey builders, where enabled for your organization.
• Audience Discovery — Proactive audience ideas surfaced on Home and through notifications, based on how your team uses audiences.

Prerequisites

• Permission to edit the target Dataset Group (and your organization must have AI Studio licensed and feature-enabled).
• Completed warehouse connection and dataset configuration for that group.

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Enterprise Plan

AI Studio is typically available on enterprise plans. To enable it for your account, contact [email protected].

Enable AI Studio for a dataset group

AI Studio is enabled per Dataset Group so you control which schemas are in scope for AI features.

1. Open Datasets from the left navigation (or follow in-product links to your dataset groups).
2. Open the Dataset Group you want to enable.
3. Open the AI Studio tab for that group (acceptance and policy copy may reference generative marketing).
4. Read the GrowthLoop Generative Marketing Acceptable Use Policy.
5. Certify that you accept the policy and submit the form.

After submission, users with access to that group can use Studio and related AI Studio capabilities that depend on that group.

Organization access (administrators)

Two layers typically apply:

1. Studio navigation — Your GrowthLoop account must have the Studio experience enabled so Studio appears in the sidebar.
2. AI Studio on the dataset group — Each group still needs the AI Studio tab acceptance above.

If Studio does not appear, or AI Studio options are missing on the group, contact your Solutions Architect or [email protected].

What data does AI Studio use?

AI Studio and its agents are designed to be privacy-conscious:

• Studio builds live context from your warehouse schema (e.g. dataset and column names, types, and PII field flags you configure)—not from sampling or “training” on individual customer rows for these features.
• Audience Discovery uses metadata such as audience names, filters, dataset names, and column descriptions—not row-level PII for model training in the way described here.

For Audience Discovery specifically, AI Studio trains only on audience metadata, filters you have used in audiences, dataset names, dataset column names, and column descriptions. It does not train on individual row data within your datasets that are connected to GrowthLoop. This design is meant to make it simple for customers to ensure no PII is used in that learning loop.

For Studio chat, agents receive schema context focused on your primary dataset and datasets directly joined to it (first-order joins). Tables only reachable through longer chains are excluded so generated audiences don’t depend on join paths the product cannot reliably execute.

If you need a deeper review (for example, custom LLM usage or performance-based discovery signals), email [email protected].

You’re set. Continue to Use AI Studio or read the AI Studio overview for the bigger picture.