Navigating the Future of AI Search: The DGR Interview with Branch’s Adam Landis

Why It Matters

AI search reshapes B2B acquisition by rewarding intent over volume, forcing a strategic reallocation of spend and new analytics frameworks. Companies that master measurement now will capture the fastest‑growing discovery channel.

Key Takeaways

• AI search yields fewer visits but higher-intent B2B users.
• Marketers must shift focus from traffic volume to funnel quality.
• SEO and AI search will coexist, both expected to grow through 2026.
• 65% plan to allocate at least 25% of 2026 budget to AI search.
• Early measurement solutions give adopters a competitive advantage.

Pulse Analysis

The rapid adoption of large‑language‑model (LLM) powered search is redefining how B2B buyers discover solutions. Unlike traditional keyword‑based SEO, AI search aggregates content and surfaces concise answers, resulting in a smaller pool of visitors who are already deep in the buying cycle. The Branch benchmark reveals that over 60% of respondents see higher conversion rates despite a drop in overall traffic, underscoring the premium placed on intent. Marketers must therefore restructure funnel metrics, investing in data hygiene, structured content, and post‑click personalization to capitalize on these high‑value interactions.

Coexistence rather than cannibalization defines the next phase of search strategy. Survey data projects simultaneous growth for both SEO and AI search through 2026, with 65% of leaders committing at least 25% of their marketing spend to AI‑driven discovery. This dual‑track approach demands a unified measurement framework that can attribute revenue across opaque LLM outputs and classic SERP clicks. Early adopters are already experimenting with server‑log analysis and custom language models to surface attribution signals, mirroring the evolution of mobile measurement partners in the early app era. Firms that lock down reliable ROI metrics will secure budget priority and outpace rivals still wrestling with black‑box analytics.

Looking ahead, the most disruptive opportunity lies in AI search advertising. As LLMs evolve to serve sponsored answers, a new programmatic ad ecosystem will emerge, echoing the rise of search and social ads a decade ago. Marketers should build test‑and‑learn cultures, develop proprietary measurement tools, and align product roadmaps with emerging AI ad formats. Companies that master this loop—measure, iterate, scale—will not only dominate the AI search channel but also unlock novel revenue models in the burgeoning LLM economy.