The Practical Guide
Answer Engine Optimization and SEO, explained without the fluff. A field-tested playbook of checklists, worksheets and a 30-day plan that helps your content surface in ChatGPT, Claude, Perplexity and Google.
Buyers now ask an AI assistant before they ask Google. This guide bridges the gap, showing you how to optimise for the answer engines that summarise the web and the search engines that still drive traffic, using one practical system.
Structure content so AI assistants quote you, cite you, and recommend you to the people asking.
The fundamentals that keep earning rankings, distilled into checklists you can actually run.
No theory dump. A week-by-week path from audit to published, optimised, measurable content.
Everything is built to be used, not just read. Includes various resources available for download, you can apply to your own site the same day.
The step-by-step framework to future-proof your SEO strategy and AI Search, win Answer Engines, and convert visitors into leads.
Most marketers pick up SEO in scattered fragments, a tip from a webinar, a tactic from a coworker. This chapter replaces the patchwork with one clear, working model of how search actually decides what to show.
Your organic traffic isn't slipping because your work got worse, the ground moved beneath it. Here's what actually changed in search, and why the old playbook stopped paying out.
AEO gets thrown around as though everyone agreed on a definition years ago. They didn't. This chapter gives you a clear one, and shows why it matters now.
You don't need an engineering background to influence AI answers, but you do need to know how they are assembled. This chapter opens the hood without the jargon.
Keyword research used to be a contained craft: pull a list, sort by volume, pick the winners. AI added new layers on top of the fundamentals, and this chapter shows you how to work them.
Polishing your prose harder won't get you cited. This chapter breaks down the structural traits that actually decide whether an AI quotes you or skips straight past.
Schema markup sounds technical enough to quietly avoid, yet it's the difference between hoping AI understands your page and telling it. Here's the small set of schema types that does most of the work.
AI describes your brand from signals scattered across the whole web, not just your own site. This chapter shows you how to make those signals strong, consistent, and credible.
Visibility means nothing if it never turns into pipeline. This chapter connects all the earlier work to the one number your boss actually cares about: leads.
Nine chapters of frameworks are a lot to hold in your head, and the obvious question is where to actually start. This is the part where it all becomes a simple, week-by-week plan sized for a real marketer with a real day job.
Every checklist, worksheet, and the SEO/AEO tool-evaluation matrix from the book, gathered in one place and ready to download so you can put the system to work the same day.
As a web manager, part of my day-to-day is to support marketing colleagues run their website campaigns and actually get found online. Over the years I watched search shift from a Google ranking game into something messier, where AI assistants now answer the question before anyone clicks a link. Most of the advice out there is either too technical for a busy marketer or too vague to act on.
So I wrote the practical guide I wanted on my own desk, tested on real sites and built for marketers, not engineers. No theory dump, no hype, just the work that gets you cited and ranked.