Pepper’s content making machine

🎧 Highlights:[00:00:00] From freelance writer to $10M ARR founder[00:03:36] How Pepper scaled from a marketplace to an AI-powered content engine[00:05:06] The hybrid model: humans and AI creating together[00:07:12] Building “Nimbus” — Pepper’s internal AI platform[00:08:24] Re-optimizing thousands of old pages automatically[00:13:03] Why FAQs and freshness signals help you rank in AI results[00:15:00] GEO: Generative Engine Optimization explained[00:16:12] Tracking brand mentions across ChatGPT, Claude, Gemini, and Perplexity[00:18:00] Using AI to generate videos, voices, and creative assets[00:25:12] Scaling creative testing with 30,000+ AI-made ad banners[00:27:18] How smaller creators can apply these lessons today[00:30:27] Reddit, LinkedIn, and UGC as new AI search signals[00:33:00] Cold-emailing OpenAI’s Greg Brockman and getting access to GPT-3[00:34:21] Building PepperType.ai and learning from early AI adoption[00:35:30] Using AI personally to optimize meetings and calendar timeIn this episode, Andrew Warner interviews Anirudh Singla, founder and CEO of Pepper, a company that uses AI and human expertise to produce hundreds of thousands of pieces of content for enterprise brands.Anirudh shares how he went from writing on Upwork to building a platform now doing over $10M ARR, powered by a blend of automation, creativity, and data. He reveals how Pepper uses AI agents to write, edit, and even refresh old content — and why the next big wave isn’t SEO, it’s GEO: Generative Engine Optimization.