Configure your AI Workforce and start scoring content

Before you build campaigns, chase attribution, or generate AI ads, do this one thing first: turn on your AI Workforce. It's the single setup step that everything else in Socialscale — scoring, tagging, ad matching, reporting — is built on top of, which is why it belongs at the very start of your setup, not somewhere in the middle.

AI Workforce gives your team access to specialized AI operators that handle repetitive operational work across marketing, creators, and finance. Each operator manages a specific responsibility, so instead of manually tagging content or eyeballing which post drove a sale, you get that continuously in the background.

Before you start

Step 1: Sync your product catalog first

This is the interdependency that trips teams up: the AI Workforce agents will turn on and run without a synced product catalog, but their output is noticeably weaker without one. Linking products to content is what unlocks richer AI summaries, accurate ROI tracking, and better agent performance overall — the agents need something to match content against.

Step 2: Open Settings → AI Workforce

In the app, go to Settings → AI Workforce. You'll see agents grouped by responsibility — this guide covers the Marketing group, which is what most teams configure first.

Step 3: Turn on each agent, in this order

Not all four agents matter equally on day one. Turn them on in this order so each one has something useful to work with by the time the next one runs:

1. AI Content Scoring Agent — 1 credit/match. Scores every piece of content on brand safety, hook, product fit, and quality using a visual model checked against Product Center, creator briefs, and your Brand Guidelines — not just text. Turn this on first; it's your cheapest signal and every other agent benefits from content already being scored. See AI Content Scoring Agent for the full mechanism.
2. Content Tagging Agent — 2 credits/match. Reviews content and assigns the correct product and creator based on what's actually shown and said, matched against your product images and descriptions. Anything it's not confident about gets routed to your team for review instead of guessed at. See Content Tagging Agent for how the matching itself works.
3. Social Commerce Expert Agent — 2 credits/match. Adds summaries, transcriptions, tips, and recommendations across your content library.
4. Ad Agent — 2 credits/match. Tracks creative performance across your connected ad accounts and attaches results directly to the content that drove them, for unified cross-platform reporting.

For each one, use Configure to review its settings, then flip it to Active. You'll see a live match/score counter and a "Last updated" timestamp once it starts processing your library.

Step 4: Verify it's actually running

Go to Content Library and confirm you're seeing:

• Score badges (brand safety / hook / product fit / quality) on recent content
• Product and creator tags appearing on content that previously had none
• A rising match count back on the AI Workforce settings page

If scores aren't appearing after a few minutes, double check that the agent shows Active (not just configured) and that there's unscored content in the library for it to process.

Who should prioritize what

Next: put this to work in a workflow

Once your AI Workforce is active and scoring content, the next step is usually a full campaign — where tagging, scoring, and ad tracking come together into a single attribution report.