AI Marketing Strategy: Building Marketing Strategy for the AI Era
AI marketing strategy isn’t about adding AI tools—it’s about fundamentally rethinking marketing for AI-powered channels and capabilities.
AI Marketing Strategy Components
AI as Capability
Using AI tools across marketing functions for efficiency and effectiveness.
AI as Channel
Marketing in AI platforms: ChatGPT, Perplexity, voice assistants.
AI as Enabler
Personalization, automation, and optimization at scale.
Building AI Marketing Strategy
Assess Current State
Where are you using AI? Where should you be? What’s the gap?
Prioritize Opportunities
High impact + feasibility first. Build capabilities incrementally.
Build Capabilities
Tools, skills, processes, and data foundation.
Measure and Iterate
Track AI impact. Adjust strategy based on results.
AI Marketing Strategy Priorities
Near Term
AI content tools, platform AI features, basic personalization.
Medium Term
AI visibility optimization, advanced personalization, predictive capabilities.
Long Term
AI-native strategies, autonomous optimization, emerging platforms.
Frequently Asked Questions
How do I sell AI marketing strategy internally?
Focus on business outcomes: efficiency gains, performance improvements, competitive necessity. Start with quick wins that demonstrate value.
How much should we invest in AI marketing?
Depends on your situation. Minimum: leverage free AI tools and platform features. Meaningful investment: 10-20% of marketing tech budget for AI capabilities.
