Automate content curation and moderation with AI agents
Set up AI agents that check new posts against your moderation rules, match them to the right communities, rank them for feeds, and flag what needs human review.
AI agents analyze each new submission, evaluate it against your guidelines, and act on it automatically. They approve, prioritize, downrank, flag, or reject content, so your team spends moderation time only where human judgment is needed.
As your social experience grows, hundreds of creators, merchants, and brand partners might publish across several communities at the same time. AI agents let your team scale content operations while keeping quality, safety, and relevance.
AI agents are part of Supervised Intelligence. For the product overview, see Supervised Intelligence: what it does and where to start.
What AI agents do
AI agents work as automated assistants in your content workflow. They evaluate content in real time and act on it based on Genuin's platform rules and the community standards you set.
| Task | What the agent does |
|---|---|
| Content filtering | Identifies content that violates platform or brand guidelines |
| Community relevance analysis | Determines which community a post best belongs to |
| Content ranking | Prioritizes high-quality content for feeds and discovery surfaces |
| Moderation flagging | Escalates posts that need manual review |
| Engagement optimization | Promotes posts likely to perform well with community audiences |
When to use AI agents
AI agents help most when you manage:
- Several communities with different content themes.
- Frequent creator or merchant uploads.
- Brand campaign activations across communities.
- Subscription-based posting programs.
- High volumes of user-generated content.
Instead of a person reviewing each post, AI agents analyze and curate content continuously across your network.
How AI agents fit into the content workflow
AI agents support both moderation and distribution decisions as content is published:
- A creator, merchant, partner, or member submits content.
- An AI agent analyzes its metadata, text, and visual elements.
- The agent evaluates the content against platform and community rules.
- The agent assigns a community and a ranking.
- Approved content appears in the right community feeds.
- Flagged content moves to the moderation queue.
Relevant content reaches audiences quickly, and community standards still apply. For how the queue works, see Moderation Baselines and Queue.
Turn on AI moderation and curation
Turn on AI agents in your content moderation settings. Once they're on, AI agents analyze every new submission across communities automatically.
AI agents review these content signals:
- Captions and descriptions.
- Visual elements in videos or images.
- Campaign tags or keywords.
- Community relevance indicators.
Define moderation and content rules
AI agents follow the moderation policies and community rules you define. These rules decide whether content is approved, prioritized, or flagged, and keep feeds brand-safe and relevant to each community.
| Rule category | Example |
|---|---|
| Platform safety rules | Block harmful or offensive content |
| Brand campaign rules | Require campaign tags or product references |
| Community relevance rules | Make sure content matches the group topic |
| Content quality signals | Detect low-quality or spam content |
Learn more about Community Guidelines and Appeals and Keyword and Topic Blocklists.
Set curation preferences
Next, define how AI agents curate and prioritize content across communities, so each audience segment sees its most valuable content. For example:
- Promote highly engaging creator videos.
- Prioritize merchant content in local communities.
- Highlight sponsored or campaign content.
- Elevate premium or subscriber posts.
Automate moderation actions
With rules and preferences in place, AI agents take these moderation actions automatically:
| Action | What happens |
|---|---|
| Auto-approve | Content that meets all guidelines is published |
| Flag for review | Suspicious content goes to the moderation queue |
| Downrank | Low-quality posts are deprioritized in feeds |
| Reject | Content that violates platform rules is blocked |
Your moderators then focus only on the content that needs human judgment. Learn more about approving content automatically based on brand, community, and platform guidelines.
Monitor AI moderation performance
Review how AI agents perform over time to keep moderation accurate and transparent. Monitoring shows:
- Auto-approved content volume.
- Flagged content trends.
- Moderation queue activity.
- Engagement performance of curated content.
| Metric | Example insight |
|---|---|
| Auto-approved posts | 82% of submissions |
| Flagged posts | 12% sent for review |
| Rejected posts | 6% removed for policy violations |
Use these numbers to adjust your moderation rules and improve AI performance over time.
Examples
Creator content communities
In creator-driven communities, AI agents analyze uploaded videos to find the groups they fit best. For example:
- Cooking tutorials go to food communities.
- Workout clips are prioritized in fitness groups.
- Product reviews appear in product discovery communities.
This curation brings content to the most relevant audiences.
Merchant video promotions
Local merchants in promotional video programs might upload several videos each month. AI agents automatically:
- Verify that the video references the merchant or product.
- Make sure the video fits the selected community.
- Approve the video for posting when it meets the guidelines.
Merchants publish quickly, and community standards still apply.
Sponsored brand campaigns
Brands running sponsored campaigns might receive large volumes of creator submissions. AI agents help by:
- Verifying campaign hashtags or product mentions.
- Filtering out irrelevant content.
- Highlighting high-quality submissions for promotion.
Campaigns scale creator participation without overwhelming your moderation team.
Recommendations
- Define clear community rules. AI agents perform best when each community has a well-defined content theme.
- Start with strict moderation settings. Relax the rules gradually as you see how the AI performs.
- Review flagged content periodically. Occasional manual review helps improve AI accuracy.
- Combine AI with human oversight. AI assists moderation; it doesn't replace it. To set what Supervised Intelligence can do without asking, see Supervised Intelligence Autonomy and Approvals.
