Strong content, manual workflow.
PodPitch had a stack of posts that punched above their weight in search, but no engine behind them. Every new piece was a hand-built one-off. Trending queries went unanswered because nobody had time to find them.
← All case studiesPodPitch's autonomous
Case study · PodPitch
PodPitch's autonomous
content engine.
We built PodPitch a multi-agent system that ingests their internal docs and top-performing posts, scrapes trending queries and competitor SERPs, and ships new content in their voice. The team approves each piece. The system learns from what wins.
3.2xOrganic impressionsin the first 90 days
+185%Qualified inbound leadsengagement-period total
+47New top-10 keyword rankingsacross long-tail queries
8h → 45mTime to publish a piecefrom outline to live
Engagement-period figures, measured against PodPitch's 90-day pre-engagement baseline.
We were sitting on a stack of posts that worked and no system to compound them. Arkhos built an engine that reads what is winning, watches what the market is asking, and ships the next piece automatically. Our content went from a cost center to a growth channel.
Neal ShulmanFounder & CEO, PodPitch
The systemFour agents.
Four agents.
One flywheel.
Most content tools are a single LLM behind a prompt box. The PodPitch engine is a loop. Each turn of the wheel makes the next turn smarter, because the system actually watches what wins.
- 01
Read the source material
Agents ingest PodPitch's internal docs, brand guides, product notes, and top-performing posts to learn the voice, hooks, and entities that actually convert.
- 02
Scrape the market
Trending queries, AEO prompts, and competitor SERPs are pulled live. Nothing waits on a quarterly content review.
- 03
Draft and ship
A writing agent produces drafts grounded in PodPitch's voice, internal links, and current rankings. Editor approves, then it goes.
- 04
Learn and improve
Performance data feeds back into the loop. Posts that win get amplified. Posts that flatline get replaced. Each turn gets sharper.
A multi-agent system wired into their stack.
We built a system that natively connects to PodPitch's internal docs, analytics, and CMS. One agent reads the source material and the winners. One agent watches the market. One agent drafts in their voice. One agent measures and tunes. The team approves and ships.
Content moved from cost center to growth channel.
Within a quarter, organic reach stepped up materially, qualified inbound leads grew, and the team stopped writing from a blank page. The engine runs in the background. PodPitch directs it.
Your content channel