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Shezad Ali Khan

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.

Download PDF PDF · 12 pages · ~1.4 MB No email needed
Shezad Ali Khan Shezad Ali Khan Trainer and SEO consultant, Mumbai
Code on screen representing an AI marketing stack

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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