Godard Abel, CEO of G2, discusses the original vision for G2, going multi-product, AI's importance, struggles with reviews, strategic value of data product, evaluating vendors, cautious recovery in marketing spend, balancing short-term and long-term goals, and the potential of AI in B2B sales.

Godard Abel, Founder and CEO of G2, joins Ajay Manglani to explore the fascination of AI and productivity in software discovery. They discuss the revolutionizing impact of AI on the tech industry, leveraging AI to stay competitive, conversational interfaces, and the future of software buying with AI bots. They also emphasize the value of unique datasets, conscious leadership, and the potential for G2 to go public.

Godard Abel, Co-founder and CEO of G2, shares insights from his journey in the SaaS industry. He discusses the evolution of G2 and the significance of buyer trust in software discovery. The conversation highlights the importance of support systems and 'founder mode' leadership during challenging times. Godard also explores how AI is transforming enterprise software, enhancing both user experience and operational efficiency. He draws parallels between personal growth and entrepreneurial challenges, emphasizing teamwork and perseverance.

Godard Abel, Co-Founder and CEO of G2 and a seasoned force in the SaaS community, shares his wealth of experience. He emphasizes the critical importance of trusted co-founders and building a committed team. Godard recounts innovative strategies for gathering user feedback and the struggles G2 faced in Silicon Valley before finding success in Chicago. He also discusses leadership transitions, the challenges of recruiting top talent, and the impact of generative AI on software purchasing, all while reflecting on his family's entrepreneurial legacy.

Godard Abel, founder and CEO of G2, discusses lessons learned from building three companies, challenges he faces, picking industries to build in, hiring talented people, software trends, and exciting concepts in AI. Topics include alternative data points for software evaluation, challenges in obtaining pricing data, industry selection for enterprise software, and trends in software and AI.