AIVA — AI Visibility Analyst

As search shifts from traditional ranking lists to synthesized AI responses, AI Visibility Analyst (AIVA) addresses the gap between traditional SEO rankings and AI-citable authority. Grounded in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) principles, AIVA evaluates pages using 28 deterministic rules without relying on backend AI judgment calls. It specifically tests whether a site provides the structural, authorship, and content density signals necessary for AI LLMs and search engines to cite it as a direct source.

The audit evaluates pages across three distinct scoring layers: the Domain Layer (checking crawler access in robots.txt, llms.txt, and navigation landmarks), the Page Layer (analyzing JSON-LD Schema markup like FAQPage and Person/Organization, canonical clarity, and authorship/publisher signals), and the Content Core (evaluating answer density, heading hierarchy, statistics/evidence density, and date/link freshness). Because it uses a deterministic rules engine, every pass/fail result is fully traceable and provides actionable explanations for what needs fixing.

AIVA is designed for site owners, SEO consultants, and marketing agencies. Each audit generates three calibrated outputs: a shareable public AI Visibility Report with high-level score rings and top priorities, a Detailed Report featuring complete findings across all 28 rules with implementation tactics and status dropdowns (open, in progress, done), and agency white-label capabilities that allow consultants to rebrand reports with their own logo and contact details. A free initial high-level audit is offered to evaluate any single page.