Resolve · Represent · Permit
Consent, identity, and visibility for AI-era marketing.
Search moved from links to answers. Prospects and customers now research through AI assistants before they reach your site. That shift breaks three things at once: how machine systems resolve who you are, how they represent and cite you, and what they are permitted to use. Apolaki is the practice that fixes those three as one architecture.
Apolaki diagnoses why your pages, profiles, and records fail in AI-mediated discovery, and hands back specific fixes your team can apply. It works from data you already collect. It reads, it does not write to your systems. The output is a root cause and a fix, not another dashboard telling you that you underperform.
Machine systems must resolve you as the correct, distinct entity. Identity is the substrate.
Your content must be structured so engines extract and cite it accurately. Visibility is the outcome.
What you expose to crawlers and models must be intended and compliant. Consent is the boundary.
Regulated and reputation-sensitive organizations where a generic tool gives generic advice. Higher education, medical devices, and other verticals where being cited wrong, or exposing the wrong data, carries real cost.