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What's inside
The 7 steps.
- 01
Identify your category-defining terms
The 8–20 concepts your buyers ask about, that you've coined, or that you're constantly explaining.
- 02
Classify each term by ownership tier
Owned, reframed, adjacent, distracting. Not every term deserves a page.
- 03
Map the relationships
Part of, produces, constrains, resolves into, operationalises. This is what turns a glossary into a graph.
- 04
Choose your register
Encyclopaedic, technical specification, or reference manual. Pick one. Use it everywhere.
- 05
Structure each page identically
A 9-section skeleton that gives AI engines a predictable place to find each fact.
- 06
Map the ontology to JSON-LD
Stable URIs, bidirectional links, one canonical set.
- 07
Set the governance layer
Without governance, your ontology drifts. The monthly maintenance most companies underestimate.
Bonus: DIY vs. consultation — an honest read on what you can do in-house, and where the work gets harder than it looks.
If you'd rather not DIY
Done for you. Live in 30 days.
Some founders read the guide and run it themselves. Others realise the gap between understanding it and doing it is bigger than it looked.
RAMMP AEO Sprint
AUD $3,400 · one-time · live in 30 days
Your AI answer layer, fully built. Comparable US agency work starts at USD $15,000 — and most just adds schema to existing pages. The strategic ontology work is the part that's missing. This isn't. 12 founder seats at this price.
What you get: your 60-page below-the-line answer layer, fully built · term validation across ChatGPT, Perplexity & Google AI Overviews before we write a word · full ontology mapped, JSON-LD architected, entity graph cross-referenced · llms.txt deployed at your root domain · three third-party citation seeds (Reddit, LinkedIn, G2) · monthly governance audit for six months · 12 months of RAMMP included, so you can watch the Brand Trust Score move.
The window where AEO is cheap and uncrowded is open right now. It will not be open in 18 months.