🧠 AI-Powered Influencer Discovery Engine

What I Built

I built an AI-powered platform that helps brands discover ideal influencers by tapping into real-time social media data. Unlike static influencer directories, this tool dynamically finds creators who align with a brand’s tone, values, target audience, and preferred content style.

The system uses an AI agent to:

• Collect brand intent via a clean, guided interface
• Generate a natural language brief for influencer matching
• Transform that into search signals (hashtags, keywords, captions)
• Crawl Instagram in real time using Bright Data's MCP

This lets brands find relevant, high-performing influencers based on their current content—not stale bios or outdated databases.

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Demo

GitHub Repo: github.com/raibove/Fluencr

Live Demo: https://fluencr.pages.dev/

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How I Used Bright Data's Infrastructure

To power the real-time influencer discovery system, I used Bright Data’s MCP (Mobile Cloud Proxy) and automation tools. Here's how it helped:

🔍 Discover – Crawler-Based Search

• Used Search Engine Crawler API to scan TikTok, Instagram, and YouTube content based on AI-generated hashtags, keywords, and even video transcript data.
• Dynamically prioritized posts with high engagement and recency.

🧭 Access – Platform Navigation with JS Rendering

• Platforms like TikTok and Instagram require login, scrolling, and human behavior simulation.
• Bright Data’s helped avoid detection and ensure reliability.

📥 Extract – Scraping Key Data

• Collected structured content:
  • Creator handles, bios, and follower count
  • Common hashtags and captions
  • Engagement stats and collaboration links
  • Video transcripts (when available)
• Stored this data with content embeddings for future AI-based matching.

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Performance Improvements

Traditional influencer tools rely on pre-populated databases or partner networks, which are:

• Often outdated
• Miss dynamic trends
• Lack true intent-based matching

By using real-time social content scraping, I was able to:

• Surface creators based on live content behavior
• Identify micro-influencers aligned with niche values like sustainability or tech innovation
• Deliver 10x more relevant results for brands with very specific audience goals

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Tech Stack

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App Flow: From Brand Brief to Influencer Match

1. Enter Brand Details
   
   → Dropdowns for brand tone, audience, platform, values

2. AI Improves Prompt
   
   → GPT-4 generates a structured brand profile:
   
   “Looking for creators who post funny, women-focused, Gen Z content around self-love on Instagram”

3. Generate Search Signals
   
   → AI outputs hashtags, content types, keywords

4. Search & Extract
   
   → Bright Data crawls platforms, simulates interaction, and extracts data

5. Deliver Matches
   
   → Ranked influencer shortlist with metrics and links

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Final Thoughts

This tool blends AI prompt generation, real-time web scraping, and content analysis to solve one of the biggest challenges in influencer marketing: finding creators who truly align with a brand’s evolving voice and values.

By using Bright Data’s infrastructure, I was able to go beyond APIs and get dynamic, actionable insights directly from the platforms that matter.