AI Influencer Fit/Scoring Automation
Cross-references scraped influencer profiles against your brand's exact ICP using Claude 3.7 Sonnet — automatically generating a weighted score and surfacing top-tier creators for every campaign brief.
Impact
The Problem
Marketing teams waste days manually researching influencers and relying on gut-feel to pick creators. This leads to poor brand fit, diluted messaging, and wasted campaign budgets on influencers with fake engagement or misaligned audiences.
- Gut-feel selection: No structured scoring criteria across teams
- Fake engagement: High follower counts hide low-quality audiences
- Brand safety risk: Manual vetting misses red flags at scale
- Bottleneck: Senior marketers manually review every profile
Built For
Marketing Managers
Running creator campaigns across multiple brand verticals.
Brand Strategists
Needing ICP-aligned creators, not just high-follower profiles.
Performance Teams
Optimising creator spend against campaign ROI.
Quick Video Demo
Before vs After
The Old Way
- Days spent manually researching profiles
- Gut-feel creator selection
- Inconsistent brand safety checks
- High-follower ≠ high-fit
- Knowledge trapped with senior team members
The Automated Way
- 100+ profiles scored per hour
- 5-dimension weighted LLM scoring
- Automated brand safety flagging
- Tier 1–4 priority ranking per brief
- Self-serve scoring for the whole team
How the Workflow Runs
From raw input to client-ready execution
Tech Stack
What Gets Generated
Every run produces a ready-to-use pipeline of creators
Google Sheets Row (Scored Creator Sheet)
A sortable, filterable log of every analyzed creator