Approach
The Apolaki approach is a diagnostic method we call Sinag, after the rays of the sun the practice is named for. It reads identity, visibility, and consent as one architecture and returns a fix a person can act on.
Most tools tell you a page underperforms. They do not explain why in terms of what the page is for, and they hand a program page and a news post the same advice. Apolaki diagnoses each entity against its purpose, across the three legs of the spine, and returns a fix a person can act on.
Identity, visibility, and consent are three views of the same entity-data architecture. Ad platforms and CDPs were the old consumers of that architecture. Answer engines are the new one. The plumbing is the same. Diagnosing them together is what makes the fix hold.
Purpose determines diagnosis. An entity is judged against what it is for, not a generic checklist.
Diagnosis over monitoring. The deliverable is a root cause and a specific fix.
Read-only first. We start from data you already have, with no write access. A pilot is low risk and easy to stop.
Human gate. Every recommendation is reviewed before anything is applied. Automation is earned, not assumed.
Reasoning, not a checklist. The method reads each entity in context. The Sinag method keeps the output specific and falsifiable.
Read-only. Full diagnosis on your highest-value entities. Your team reviews and applies the fixes.
Extend diagnosis to the next tier, based on what the pilot shows about adoption and quality.
Only if quality is proven, apply straightforward fixes directly, every change reviewed before it publishes.
Track how you appear in machine-generated answers. Sequenced last because it is the hardest.