How We Built a YouTube SEO Pipeline with AI Agents

Description and use

A three‑agent AI system automates topic research, script creation, offline video rendering, SEO, scheduling, and analytics, enabling 250+ YouTube videos with zero cloud costs.

Problem

Running a YouTube channel requires continuous research, scripting, rendering, uploading, and analytics, which becomes overwhelming for a solo developer team.

Outcome

Deployed 250+ videos across 7 waves with zero cloud TTS/rendering costs, 95% metadata issue detection before upload, and a 48‑hour analytics loop driving data‑driven topic selection.

Workflow

• 1. Agents scan tech trends and competitor channels for topics, fact-verify and tag keywords.
• 2. AI generates scripts following a strict blueprint (hook, content, engagement, anti-CTA, debrief, timeline).
• 3. Piper TTS generates voiceover offline; FFmpeg renders video with subtitles and effects.
• 4. SEO optimization applies description blueprint, hashtags, timestamps, and title A/B testing.
• 5. Upload scheduling script manages resumable uploads, quota tracking, scheduled publishing, and quality gates.
• 6. Analytics pulls daily reports via YouTube Reporting API, feeding back into topic selection and title optimization.

Evidence

250+ videos deployed across 7 waves

Source

Zero cloud APIs for TTS and rendering (100% offline)

Source

Automated quality gates catch 95% of metadata issues before upload

Source