knowledge base

Field notes on getting
cited by AI.

Practical, source-backed guides on answer engine optimization — the same method behind the audit, written up so you can act on it. Naturally, we practise what we publish: every guide ships structured for the machines it's about.

In progress — first guides landing soon
Start hereDrafting

The AEO audit, explained: the six things we measure

A walk through the full diagnostic — citation benchmark, authority signals, entity clarity, schema, competitive gap and buried content — and how each becomes a ranked fix in the plan.

// the cornerstone guide
FoundationsPlanned

Schema that models actually read

A field checklist for the markup that makes a page legible to answer engines — and the mistakes that quietly make it invisible.

// guide
MethodPlanned

Claim-level structuring, in practice

How to turn your assertions, attributions and evidence into records a model can quote precisely — instead of paraphrasing you wrong.

// guide
ContentPlanned

Out of the PDF

Your best research is trapped in documents crawlers skip. A playbook for surfacing buried reports and whitepapers for AI.

// guide
MeasurementPlanned

Measuring share of answer

How to track how often — and how accurately — you're named across ChatGPT, Perplexity, Gemini and Claude, and turn it into a baseline.

// guide
PolicyPlanned

Cited vs. trained on

Staying visible to the engines that attribute and link, while setting your own terms with the crawlers that don't. Where the two questions diverge.

// guide

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