Why Pfizer and Other Blue-Chip Brands Are Building Internal AI Search Hubs to Reclaim Control

Why It Matters

Control over AI‑driven search protects brand visibility and revenue as generative search reshapes discovery, while reducing dependence on costly GEO vendors. In‑house expertise also accelerates response to algorithmic shifts, safeguarding market share.

Key Takeaways

• Pfizer built an in‑house SEO/AI team in 60 days.
• U.S. Bank, Georgia Pacific, and others also internalized AI search.
• 26.4% of U.S. users will use generative AI for search in 2026.
• Unbranded search traffic fell 30‑70% for many advertisers.
• In‑house hubs enable faster reaction to algorithm and LLM shifts.

Pulse Analysis

The rise of large language models has turned traditional keyword‑based search on its head. According to eMarketer, more than a quarter of U.S. internet users will turn to generative AI for search queries in 2026, up 12.7% from the previous year. This shift is already eroding unbranded traffic, with some brands reporting declines between 30% and 70%. As AI‑generated results become the primary discovery path, control over how a brand appears in those answers has become a strategic imperative.

In response, blue‑chip advertisers are building internal AI search hubs. Pfizer’s 60‑day sprint to staff a dedicated SEO and AI discoverability team illustrates the speed at which companies are acting. The hub‑and‑spoke model—central expertise supporting regional or product‑specific spokes—allows firms to embed technical knowledge directly within marketing operations. By hiring former agency talent, brands gain day‑to‑day practice, reducing reliance on external GEO vendors and cutting the latency that can cost visibility in a rapidly evolving algorithmic environment.

The broader market impact is twofold. Agencies that once dominated search services now face an erosion of spend as clients internalize capabilities, prompting a shift toward advisory or technology‑focused offerings. Meanwhile, brands that successfully integrate AI search expertise can safeguard revenue streams, improve brand trust, and capture the emerging AI‑first audience. As LLM behavior continues to evolve, the competitive advantage will belong to those who can iterate quickly, making in‑house AI search hubs a cornerstone of modern digital strategy.