AI Content Playbook
The 15-page playbook we use with our clients.
The five markers of AI slop, the brief that prevents it, and how to win citations from ChatGPT, Perplexity, and Google AI Overviews.
Free guide
The AI Content Playbook
15 pages
Written by Nathan Nicholls, founder of Ikigai.
About this guide
Most AI content reads as generic because the model has no context to work from. This playbook is the system we use with clients to produce content that sounds like the brand and earns citations from AI search. The same method, distilled into 15 pages you can apply this week.
What you'll learn
Spot AI slop on any page
The five markers Google and AI engines penalise, and why your bounce rate climbs when readers notice them.
Brief content that starts on-brand
The seven-field framework we complete before any model writes a word, so the first draft is close to publishable.
Win citations from AI search
What ChatGPT, Perplexity and Google AI Overviews reward when they choose which sources to quote.
Ship with a pre-publish check
A one-page checklist to audit a page and fix the worst offenders before it goes live.
What's inside the 15 pages
Four chapters, each a working framework, not theory.
01
The five markers of AI slop
How to recognise the patterns that make content read as machine-written.
- AI phrase density
- Missing experience and expertise (E-E-A-T)
- Low specificity
- Generic examples
- No point of view
02
The brief that beats slop
Seven fields that turn a vague topic into a specific, on-brand brief, before any model writes a word.
03
Winning AI citations
The signals AI engines reward when they pick which sources to quote.
- Original statistics and data
- Clear, cited sources
- Direct, quotable answers
- Structured, scannable passages
- Brand authority signals
04
The action checklist
A one-page audit you run on any page before you publish.
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