In my role as an early Sales & GTM leader, I've adopted LLMs to increase efficiency and speed. I don't just use tools; I build workflows that allow me to operate like a 5-person team.
I often need to test specific value props (e.g., "Usage-Based Billing") before bothering Engineering. I use Gemini to turn my raw briefs into fully coded HTML/CSS landing pages in seconds, allowing me to launch PPC tests independently.
I use Fireflies/LLMs to capture the raw data so I can focus purely on active listening. Post-call, I use AI to extract the nuance—not just the summary—and draft follow-ups that address specific objections raised by stakeholders.
As a team of one, I don't have a content marketing department. I interview our founders or technical leads, record the session, and use LLMs to structure their brain-dumps into high-quality white papers and assets.
I use Claude to act as my "Chief of Staff." I treat it like a chat interface where I can ask it to search my calls, HubSpot deals, and meeting transcripts to generate a prioritized follow-up list, ensuring nothing slips through the cracks.
Instead of bidding on expensive keywords like "Billing Software," I use LLMs to generate thousands of semantic variations for specific features (e.g., "automated invoice reconciliation python"). This lowers CAC by targeting high-intent, low-volume searches.