What it does
Uses AI to analyse your top-performing Instagram posts and suggest optimised hashtag sets based on engagement patterns, competitor research, and trending topics, eliminating hashtag research guesswork.
Why I recommend it
Random hashtags get random results. AI analysis of what actually drives your engagement creates data-driven hashtag strategies that consistently improve reach without manual research.
Expected benefits
- 30-40% higher post reach
- Data-driven hashtag selection
- Zero manual hashtag research
- Consistent hashtag strategy
How it works
Fetch top-performing Instagram posts from last 30 days -> analyse which hashtags correlated with highest engagement -> research competitor hashtags in your niche -> identify trending related hashtags -> AI generates optimised hashtag sets (primary, secondary, niche) -> save as templates for different content types.
Quick start
Manually review your last 20 posts. Note which hashtags appeared on highest-performing posts. Research competitor hashtags. Create 3-5 hashtag sets manually. Test AI generation against your manual sets, refine, then automate.
Level-up version
Generate hashtag sets per content pillar (educational, promotional, behind-scenes). Include mix of high-volume and niche hashtags. Rotate hashtags to avoid Instagram spam detection. Track performance by hashtag set. Update strategy monthly based on results.
Tools you can use
AI: ChatGPT API, Claude API
Instagram: Instagram Graph API for post data
Analytics: Instagram Insights, Iconosquare, Later analytics
Hashtag research: Hashtagify, RiteTag, Display Purposes
Automation: Zapier, Make, n8n
Also works with
Social tools: Hootsuite, Buffer, Sprout Social
Content planning: Planoly, Later for content calendars
Competitor analysis: Phlanx, Social Blade
Technical implementation solution
- No-code: Manually export Instagram insights -> paste top posts into ChatGPT with hashtag strategy prompt -> receive optimised hashtag sets -> save to content calendar.
- API-based: Instagram API fetch recent posts with engagement metrics -> identify top performers -> extract hashtags -> competitor account API scrape -> send data to Claude API for analysis -> generate hashtag sets -> save to database -> integrate with scheduling tools.
Where it gets tricky
Avoiding banned or spammy hashtags, balancing broad reach vs targeted engagement, keeping up with hashtag trends and algorithm changes, and preventing hashtag repetition that triggers Instagram suppression.
