Feature: Smarter Channel Discovery with AI Categories

Changelog Summary

Released: March 2025

Feature: AI-powered topic classification

Available in: AI Category Search page →

What’s new:

• Every channel is now classified into one of 300+ curated categories
• Classifications are based on:

• Channel name
• Channel bio
• Last 50 videos

• Channels display a confidence score
• You can now filter and sort by category directly in search

Why it helps:

• Avoid irrelevant keyword matches
• Surface niche creators who don’t use obvious terms
• Great for outreach in emerging or specialised verticals (e.g. No-code Tools, Skincare, AI & Robotics)

→ AI Category Channel Discovery, try it now

Moving Beyond Keywords: Why This Matters

Traditional influencer tools rely on keyword search. It’s straightforward, but often unreliable.

If you search for "fitness", you might get gym vloggers, fitness memes, nutritionists, and lifestyle creators all in the same list. Worse, you might completely miss niche creators like physiotherapists or rehabilitation specialists who never use the word “fitness” at all.

Keyword-based search rewards those who say the right words — not necessarily those who create the right content.

That’s where AI Categories come in.

What’s New: Content-Based Categorisation

ChannelCrawler now analyses real content to classify YouTube channels. Instead of guessing based on metadata, we look at:

• The channel’s last 50 videos
• Its name and description
• The overall content pattern and audience topic

Each channel is then assigned one or more topic categories, with a confidence score that reflects how closely the channel fits.

The result is a cleaner, more consistent way to search — especially useful in edge cases or long-tail niches where keyword signals are weak.

How to Use AI Categories in Your Workflow

Here’s a quick guide:

1. Choose a topic Start from broad topics like Education or Social Media, or jump into more specific niches like TikTok Growth or Handmade & Artisan Marketplaces.
2. Sort by confidence Focus on channels where the algorithm is most confident — ideal for prioritising exports.
3. Add filters Use audience size, language, location, or upload activity to refine results further.
4. Export when ready Because categories are based on content, not keywords, your list should need little to no post-cleaning.

Tip: Don’t just stick to one label. If you're searching in Fashion, you might find great creators under Beauty Trends or DIY Design Projects.

Why We Built This

The goal is to make creator discovery faster and more accurate — especially for teams working in:

• Niche or technical industries
• Emerging creator categories
• Multi-language outreach
• Topics where keyword usage is inconsistent or misleading

By shifting from keyword matching to actual content classification, we help surface the right creators earlier — before they become obvious to everyone else.

Try It Now

You can find AI Categories on the Search page. We’ll continue expanding category coverage, so if you have suggestions or gaps you’d like us to cover, let us know.