π‘ AI Performance Advisor
Get actionable, data-backed recommendations powered by continuous AI analysis of your content performance, audience behavior, and industry benchmarks.
How It Worksβ
The AI Advisor is not a one-time report β it's a continuously running intelligence layer. It analyzes:
- Your complete posting history and engagement patterns
- Audience behavior across platforms and time zones
- Industry and niche benchmarks from the Intelligence system
- A/B test results and historical experiments
- Revenue attribution data (if e-commerce is connected)
- Prediction accuracy feedback loops
The advisor endpoint is available at GET /analytics/advisor.
Types of Recommendationsβ
The Advisor generates personalized recommendations across six categories:
| Category | What It Covers | Example Recommendation |
|---|---|---|
| π¨ Content | Topics, formats, and styles that resonate | "Your TUTORIAL content gets 2.4x more saves than PROMOTIONAL posts β create more educational content" |
| β° Timing | Optimal posting windows | "Your audience is most active TueβThu between 6β8 PM β schedule high-priority content in this window" |
| π Frequency | Posting cadence optimization | "Posting more than 2x/day on Instagram is causing a 12% drop in per-post engagement" |
| π± Platform | Where to focus your efforts | "Your REEL content gets 3x more reach on TikTok than Instagram β consider cross-posting there first" |
| π₯ Audience | Growth and targeting insights | "Your follower growth stalled β try UGC content which drove 45% of new follows last quarter" |
| π° Revenue | Social-to-sales optimization | "Product posts with a direct CTA convert 2.1x better than soft-sell approaches" |
Data Sources Powering Recommendationsβ
The Advisor draws on multiple data models to generate its insights:
Post Classification (Intelligence)β
Every post is auto-classified with metadata including contentType, contentFormat, topics, hookStrength, captionLength, hashtagCount, hasEmoji, hasCTA, ctaType, and language. This lets the Advisor reason about why things work, not just what works.
Niche Benchmarksβ
Your performance is compared against your industry using the NicheBenchmark model:
| Field | Description |
|---|---|
workspaceEngagement | Your current engagement rate |
industryAvgEngagement | Average for your industry |
percentileRank | Where you stand (e.g., 75th percentile) |
strengths | What you're doing well (JSON array) |
weaknesses | Areas for improvement (JSON array) |
recommendations | Specific action items (JSON array) |
Industry Benchmarksβ
Broader market data from the IndustryBenchmark model:
| Field | Description |
|---|---|
avgEngagementRate | Industry average engagement |
medianEngagementRate | Median engagement (less skewed by outliers) |
p25 / p75 | 25th and 75th percentile engagement rates |
bestPostingHours | When top performers in your industry post |
topContentTypes | Most successful content types in the industry |
topHashtags | Trending hashtags in your niche |
revenuePerFollower | Industry benchmark for monetization efficiency |
Accessing the Advisorβ
- Dedicated page: Navigate to Analytics > AI Advisor for the full recommendation feed
- Contextual tips: Look for the π‘ lightbulb icon throughout the dashboard for in-context advice
- Post editor: When creating content, the Advisor provides real-time suggestions based on what's working
The Advisor's recommendations improve over time as it accumulates more data about your specific audience. Connect all your platforms and enable revenue attribution for the most comprehensive insights.
Related Pagesβ
- Dashboard β See AI insights on the main analytics view
- Predictions β Forward-looking engagement and revenue forecasts
- Competitor Intelligence β Benchmark data that feeds the Advisor
- A/B Testing β Validate Advisor recommendations with experiments