Feed transcripts from a CEO's calls (via Gong or Fathom) into ChatGPT and ask for recurring patterns and stories. This is a highly efficient way to surface authentic, important ideas for their LinkedIn posts.

Every customer call is a potential blog post. An AI workflow systematically redacts all sensitive and identifying information from call transcripts, then rewrites the core use-case discussion into an SEO-optimized article. This creates a scalable content machine fueled by real customer problems, generating thousands of posts.

Capture genuine expertise and your company's unique voice by recording long-form interviews with the founder or a technical expert. A single hour-long conversation can be transcribed and repurposed into 50-100 distinct pieces of content, from social posts to articles, ensuring authenticity that AI cannot replicate.

The most effective use of AI in content is not generating generic articles. Instead, feed it unique primary sources like expert interview transcripts or customer call recordings. Ask it to extract key highlights and structure a detailed outline, pairing human insight with AI's summarization power.

Alex Lieberman's system starts with an "Oracle" that scans internal tools like Slack and Notion. It analyzes the last seven days of activity to automatically surface and rank potential content ideas, or "spikes," daily. This solves the "blank page problem" by providing a constant stream of inspiration rooted in real work.

To create resonant content, move beyond guessing customer problems. Analyze transcripts of past sales calls with an AI tool to identify recurring pain points, common questions, and the exact language your audience uses to describe their challenges.

Your best stories are often hidden in conversations with clients. Upload call transcripts to an AI like Claude or ChatGPT and prompt it to extract powerful stories and impactful anecdotes. This is an efficient way to generate authentic, relevant content ideas you may have forgotten.

A powerful workflow is to use AI agents to mine your calendar, meeting notes, and DMs for latent content. This system can automatically transform real-life interactions—often the source of the best viral ideas—into authentic tweets and posts, creating a content engine from your daily activities.

The context from daily sales and support calls is incredibly valuable but often ephemeral. A powerful, underutilized agent use case is to transcribe these calls and feed them to an LLM to automatically generate sales coaching notes, customer FAQs, testimonials, and even new keyword-targeted landing pages based on customer language.