Will AI Search Continue to Expand?

Garrett Sussman predicts that AI‑driven search will grow in volume while simultaneously slipping into the background of everyday AI assistants. He describes the trend as additive—users will be able to query more content than ever before—but also secondary, because search will be embedded within conversational interfaces powered by large‑language models. This dual movement means the classic keyword list is giving way to natural‑language prompts, and the line between a dedicated search engine and a chat‑based assistant is blurring. Marketers must therefore watch how conversational search reshapes discovery pathways.

From a marketer’s perspective, the conversation shifts from chasing hype to identifying genuine AI search opportunities. Sussman stresses that data‑first analysis can separate real traffic gains from fleeting buzz, urging teams to align content, technical SEO, and AI‑ready schema with conversational intent. Brands that integrate AI insights into their keyword strategy can capture voice‑driven queries and improve SERP visibility without over‑optimizing for outdated exact‑match formulas. The episode underscores that a flexible, measurement‑centric approach is essential to turn AI‑augmented search into sustainable organic growth.

Understanding this shift matters because search remains a primary acquisition channel for enterprises ranging from e‑commerce to SaaS. As AI assistants become the default front‑end, companies that pre‑emptively adapt their SEO playbooks will retain relevance while competitors lag behind. The podcast’s sponsor Previsible cites clients such as Yelp, eBay, Canva, Atlassian, and Square—illustrating that even industry leaders are investing in AI‑compatible organic strategies. Future planners should monitor LLM advancements, experiment with conversational keyword clusters, and embed AI metrics into their reporting to stay ahead of the evolving search landscape.