Welcome to Your Agentic Marketing Era

Kana helps marketing teams transition to agentic AI, turning fragmented data into real-time decisions and measurable business outcomes.

Recent Product Announcements

Explore our latest product announcements, built to support marketing teams as they adopt agentic AI.

Just Launched: Category Intelligence

Unify external market signals and proprietary data in one AI-powered workspace to uncover insights and act faster.

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Launch Smarter with Campaign Orchestrator

Launch AI-powered campaigns with a self-serve platform built for modern marketing teams.

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Featured Content

Stay up to date with the latest insights, news, and thinking from Kana.

Videos
The Agentic Divide Discussion Series - Episode 2: Who Owns Agentic Marketing?

This video explores the organizational dynamics of ownership regarding agentic marketing and how business leaders can effectively integrate AI into their marketing strategies. The discussion highlights the following key themes: The Role of the Chief AI Officer: The speakers note that placing the entire responsibility for AI adoption across all company functions on a single chief AI officer is not scalable. While these officers play an important role in driving the agenda and ensuring AI literacy within a company, they often lack the deep domain-specific knowledge required for every department. The Importance of Partnership: Instead of creating a binary "either/or" scenario where either marketing or the chief AI officer owns AI-driven marketing, the speakers advocate for a collaborative approach. Marketers are encouraged to partner with the chief AI officer, leveraging their own domain expertise to define use cases, structures, and centers of excellence that serve the company's goals. Marketing as an Insertion Point for AI: The speakers emphasize that marketers should seize the opportunity to own their AI initiatives rather than ceding them, as doing so could be a career-limiting move for a CMO. Marketing is an ideal place to initiate AI efforts because it involves: -High-stakes, recurring decisions where companies frequently waste significant resources. -Fast feedback loops that allow for immediate measurement of results. -An abundance of data, which serves as the essential fuel for AI initiatives. Effective Deployment: Successfully deploying agentic marketing requires building an apparatus that defines what is being measured and ensures the system can improve over time.

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2026-09-10
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From Data, to Decision, to Action

Kana builds agentic marketing applications that synthesize your data, produce insight and recommendations, and take action in real time.

Connects data across your marketing ecosystem. Unifies fragmented data, eliminating silos and incomplete insights.

Identifies patterns, risks, and opportunities in real time. Detects behavioral signals early, so you can act before issues impact revenue.

Recommends and executes next best actions. Replaces guesswork with precise, data-driven actions that improve performance.

What We Mean by Agentification

Watch the video to learn more.

Start Building Smarter Marketing Systems

Move from reactive workflows to intelligent, adaptive decision-making with Kana.

FAQ

Frequently asked questions and answers about agentic AI, agentic marketing, Kana's agentic AI marketing platform, integrations, and enterprise workflows.

What is Agentic Marketing and how does it differ from Generative AI?

While Generative AI is reactive, creating content only when prompted, Agentic Marketing is proactive. Kana’s agentic platform doesn’t just write copy; it sets goals, plans multi-step workflows, and executes them across your tech stack.

Why is agentic AI becoming a necessity for marketers now?

Marketing has outgrown its tools. With the decline in the influence of third-party cookies, fragmented data, and the rise of "AI Answer Engines," manual human intervention can’t keep up. Agentic AI provides the "operating layer" needed to process millions of signals in real-time and act before an opportunity is lost.

What is the "Operating Layer" for marketing?

Marketing currently lives in silos (email tool, ad tool, CRM). Kana’s "Marketing Operating Layer" sits on top of all of them, using AI agents to coordinate data and actions across the entire stack so your marketing works as one unified system. The purpose of the Operating Layer is to consolidate disparate systems (emails, spreadsheets, software) into a single, cohesive view, increase efficiency by removing the manual, daily tasks that prevent staff from focusing on high-value work, and standardize by providing a consistent, repeatable way of working across an organization.