
Use contribution margin, attributable customers and explicit assumptions to budget AI visibility work. Citations and calculator outputs are not revenue.


Understand what llms.txt can document, what crawler logs cannot prove, and how to test a low-cost change without claiming a ranking benefit.


Check Perplexity access, relevant sources and page evidence, then measure fixed questions. A citation is observable; inclusion is never guaranteed.


Diagnose access, relevance and evidence gaps before changing content. A practical checklist that separates failed checks from measured non-citations.


A dated trirankai.com case: Search Console import, AI query setup, technical crawl fixes and a plan to measure outcomes without claiming causation.


Google has said it knows about low-quality 'best of' listicles and works to combat that abuse in Search and Gemini. What it actually said, what a weak list looks like, and how to write one that holds up.
