AI Videos

Why Most PE-Backed Companies Are Invisible to AI Search

The podcast spotlights a chronic blind spot in private‑equity‑backed B2B companies: marketing is either ignored or treated as a sales‑support function, leaving substantial revenue upside untapped. Shiv Narayan of How to SAS explains that while many firms scale to $100 million-plus on pure sales effort, they rarely invest in data‑driven marketing, leading to inefficiencies that PE investors struggle to quantify. Key insights include four recurring mistakes: an ill‑matched go‑to‑market strategy, misallocated spend across channels, understaffed or mis‑skilled marketing teams, and execution plans that focus on day‑to‑day tasks rather than enterprise‑value levers. Narayan cites a $200 million portfolio company that could not identify $25 million of waste without a deep analytics audit, illustrating how poor measurement erodes margins. He also stresses the evolving buyer journey. AI tools like ChatGPT now replace traditional Google searches and review‑site research, forcing marketers to redesign content and channel tactics. Narayan outlines a board‑ready reporting framework—pipeline, funnel metrics, channel performance, budget reallocations, forecasts, and talent needs—that gives CEOs and investors the transparency needed to allocate resources wisely. For PE firms, the implication is clear: integrating disciplined, data‑centric marketing and AI‑enabled buyer insights into value‑creation plans can unlock hidden growth, protect margins, and justify larger marketing budgets against sales‑only allocations.