AI-Assisted
Digital
Marketing
Building and running a complete digital marketing strategy using AI tools — from audience research to content creation to performance tracking. Testing how much of the execution loop AI can handle.
The Question
Can AI run a full marketing operation with minimal human input?
Digital marketing is repetitive, research-heavy, and time-consuming. Audience analysis, competitor research, content calendars, copywriting, A/B testing, reporting — all of it is exactly the kind of structured, pattern-based work AI excels at.
This experiment runs through the full cycle — strategy to execution — documenting exactly where AI accelerates, where it needs human direction, and where it simply falls short.
Phases
Phase 01
Research
Audience profiling, competitive analysis, channel selection — all AI-assisted.
Phase 02
Strategy
Positioning, messaging framework, content pillars — built with AI, reviewed by human.
Phase 03
Creation
Content calendar, copy, and visuals — generated and iterated through AI tools.
Phase 04
Execution
Scheduling, posting, and distribution — automated where possible.
Phase 05
Analysis
Performance tracking, reporting, and iteration — AI reads the data, suggests next steps.
Phase 06
Document
Write up findings — what worked, what didn't, what AI can and can't own.
Status
- Define scope and target — select the product/brand this strategy is built for
- Run Phase 01 research — audience + competitive analysis
- Build strategy — positioning and messaging framework
- Execute and measure — run campaign, track results
- Publish findings — document on Substack and here
Tools