Introducing a YouTube Agent for Smart Content Briefs Based on Live Data and AI Search Demand
Here's a YouTube agent I created. It's about to enter the marketplace but there's a platform issue holding that up What it does: Each week, the agent pulls YouTube citation share and AI search demand for your topics, identifies where citation share is dropping while demand is rising, and produces a ready-to-use content brief for each gap: recommended format, title options, talking points, description, and tags. Where it fits: Research and content creation stages of GEO. The outcome is recovered citation share on YouTube, with clear priority on where you're losing ground fastest. How accuracy is maintained:
All citation share, search demand, and sub-topic data comes from live Profound and DataForSEO data. Nothing is estimated.
Before writing a brief, the agent checks your knowledge base for existing video content and brand guidelines, so it can flag likely duplicates and keep tone consistent. If the knowledge base has no relevant content yet, the brief notes that so nothing is assumed.
Every brief is routed for human review before it's shared.
Inputs needed: Topic keywords (required) and brand name (optional, used to tailor tone and positioning). If you're looking for a quick and effective way to build out YouTube content...the right content...this could help I used the output this week to pitch 10 YouTube ideas to a potential client If you have something similar, or feedback on ways to improve it, can you tag me here? Cheers🍻
