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.
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.
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.
A field checklist for the markup that makes a page legible to answer engines — and the mistakes that quietly make it invisible.
How to turn your assertions, attributions and evidence into records a model can quote precisely — instead of paraphrasing you wrong.
Your best research is trapped in documents crawlers skip. A playbook for surfacing buried reports and whitepapers for AI.
How to track how often — and how accurately — you're named across ChatGPT, Perplexity, Gemini and Claude, and turn it into a baseline.
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.
No cadence promises, no noise — just a note when a new guide is published.
We'll email you when the first guides publish.
Email hello@rworks.ai and we'll add you.