AI-Powered Product Recommendations and More

SaaStr's AI, despite being newly implemented, has already engaged in over 30,000 conversations with B2B executives in just five weeks. Its capabilities have rapidly expanded beyond initial expectations.

Unexpected AI Applications

The AI has surprised us with its diverse applications, including:

  • Reviewing hundreds of VC pitch decks
  • Analyzing board packages
  • Drafting compensation plans for VPs of Sales
  • Rewriting outbound sales scripts
  • Coaching founders on navigating slowdowns
  • Reviewing candidate resumes and advising on hiring decisions
  • Evaluating speaker submissions for SaaStr Annual

AI-Driven Product Recommendations

Most recently, the AI has begun making product recommendations. For example, it compared Clay and Apollo, suggesting specific use cases for each.

While SaaStr currently utilizes Lusha for its extensive database and gap-filling capabilities, the AI's independent product evaluation highlights its evolving potential.

Now our AI is making product recommendations.

Did not expect this.

A strong AI will do many things you did not expect.

— Jason Lemkin (@jasonlk)

AI's Independent Initiative

The AI's proactive and detailed product recommendation, without explicit design for this function, showcases its ability to learn and adapt. This underscores the potential of AI to perform tasks beyond initial programming.

A powerful AI can achieve remarkable outcomes, often exceeding expectations and opening new possibilities.

Things our AI has already done I never expected:

  • Reviewed 100s of VC pitch decks
  • Reviewed board packages
  • Drafted comp plans for VPs of Sales
  • Rewritten outbound scripts
  • Coached founders on how to deal with slowdowns
  • Reviewed candidates and resumes - and told founders...
— Jason Lemkin (@jasonlk)

Learn More about AI in Sales

Explore the transformative impact of AI on sales strategies and processes in our dedicated resources.