The 2026 AI Marketing Stack
A printable 12-page field guide. The tools I actually use across retainers — what they cost, what they replace, and what to ignore.
What this is
A no-fluff field guide to the AI tools, automations, and workflows I run across real marketing retainers in 2026. Not a listicle of 200 tools — a curated stack of what actually ships results.
This is the same stack I reference in my long-form breakdown of how to build an AI marketing operation from scratch.
What is inside
1. The core LLM layer
Which models to default to, what each is best at, and why switching between five models is slower than mastering one. Includes cost breakdowns per seat and per API call.
2. Content operations
The exact pipeline from brief to published post — research, outlining, drafting, editing, SEO review. Which steps benefit from AI and which ones don’t.
3. Automation & orchestration
n8n workflows, webhook patterns, and the three automations that save me 6+ hours per week across every retainer. With screenshots and node-by-node breakdowns.
4. Analytics & reporting
How to wire AI summaries into your reporting stack so clients get insights, not spreadsheets. Covers GA4, Search Console, and Looker Studio integrations.
5. What to skip
The tools I tested and dropped. Why most “AI SEO” platforms are wrappers around the same API. A framework for evaluating new tools without wasting a week on each one.
Who this is for
- Marketing managers building or upgrading their team’s tool stack
- Founders who want to understand what their agency should be using
- Freelancers looking to automate the repetitive 40% of their work
- Students preparing for marketing roles where AI fluency is table stakes
How to use it
Print it. Pin it next to your monitor. Or keep the PDF on your tablet for reference during tool evaluations. Each section has a one-line summary and a “skip if” note so you can jump to what matters.
The evaluation framework
For every tool in the guide, I score across four dimensions:
| Dimension | Question |
|---|---|
| Time saved | How many hours/week does this replace? |
| Quality delta | Is the output better, worse, or equal to manual? |
| Switching cost | How painful is it to move away later? |
| True cost | Seat price + API costs + setup time amortised over 12 months |
If a tool doesn’t clear a 3x return on the “true cost” line within 90 days, it doesn’t make the stack.
Version history
| Version | Date | Notes |
|---|---|---|
| 1.0 | June 2026 | Initial release |
Updates ship to newsletter subscribers first. The guide is revised quarterly as tools change.
