Free field guide · AI
The 2026 AI Marketing Stack
A printable 12-page field guide to the tools I use across retainers: what each costs, what it replaces, and which ones to ignore.
What this is
A short field guide to the AI tools, automations and workflows I run across real marketing retainers in 2026. You won’t find 200 tools here. It’s the small stack that has actually produced results for my clients.
It’s 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 one is good at, and why bouncing between five models is slower than learning one properly. Includes cost breakdowns per seat and per API call.
2. Content operations
The exact pipeline from brief to published post: research, outline, draft, edit, SEO review. I mark 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 a week across every retainer, with screenshots and node-by-node breakdowns.
4. Analytics & reporting
How to wire AI summaries into your reporting so clients get an explanation of what happened instead of a spreadsheet. Covers GA4, Search Console and Looker Studio.
5. What to skip
The tools I tested and dropped, and why most “AI SEO” platforms are wrappers around the same API. There’s also a framework for judging a new tool without losing a week to each one.
Who this is for
- Marketing managers building or upgrading their team’s tool stack
- Founders who want to know what their agency should be using
- Freelancers looking to automate the repetitive 40% of their work
- Students heading into marketing roles where AI fluency is now expected
How to use it
Print it and pin it next to your monitor, or keep the PDF on your tablet for when you’re evaluating a tool. Each section opens with a one-line summary and a “skip if” note, so you can jump to the part you need.
The evaluation framework
I score every tool in the guide on four things:
| 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 return 3x its “true cost” within 90 days, it doesn’t make the stack.
Version history
| Version | Date | Notes |
|---|---|---|
| 1.0 | June 2026 | Initial release |
Newsletter subscribers get updates first. I revise the guide every quarter as the tools change.
Take it with you PDF · 12 pages · ~1.4 MB
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