Glossary Term

Agentic AI.

Learn what Agentic AI means in modern search and SEO.

Part of speechadj.OriginLatin: agere (to act, do) + artificialis intelligentia (artificial intelligence)

AI systems designed to act autonomously toward goals, using tools and multi-step reasoning rather than responding to single prompts.

Agentic AI refers to AI systems that exhibit autonomous goal-directed behaviour—planning, acting, observing results, and re-planning—rather than simply responding to individual prompts. An agentic system given the goal 'research our top 5 competitors and identify keyword gaps' might independently query multiple sources, synthesise the findings, and produce a structured report without step-by-step human direction.

The Agentic Shift

The shift from chatbot AI (answer one question at a time) to agentic AI (complete a complex project) represents a fundamental change in how AI systems are deployed. This shift is enabled by more capable tool use, longer context windows, better reasoning, and improved ability to maintain coherent goals across multi-step tasks.

Implications for Marketing Teams

Agentic AI is beginning to automate portions of the marketing workflow that previously required human coordination: briefing writers, researching topics, checking content against SEO criteria, monitoring competitor changes, and flagging ranking opportunities. Teams that understand how to direct and verify agentic AI work will have significant productivity advantages.

Articles about Agentic AI

Sundar Pichai Says Search Is Becoming an Agent, Not an Answer

Google CEO Sundar Pichai sat down with The Verge's Nilay Patel just after Google I/O 2026 and laid out a vision where search kicks off tasks instead of delivering links. The conversation also put a name to something publishers have feared for years: Google Zero. Here's what changed, why it matters, and what you should do about it.

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