Knowledge
AVO Concepts
Structural ideas the methodology is built on. Grows with each product release.
Concept
Ava — The Intelligence Layer
AVO measures. Ava tells you what to do about it. The engine that turns AS and VS data into actionable Cards and Account Insights.
→
Concept
Content Engine
The closed loop that turns Ava's content advice into verified outcomes — from gap detection through brief generation, drafting, publishing, and VS measurement.
→
Concept · §3.4
Digital Authority Funnel
The three-stage SEO → AVO → Tactical Layer model. Read top-to-bottom for dependency, across the rows for operations.
→
Concept
IKL — Intelligence Knowledge Layer
The cross-network intelligence that makes Ava's projections credible. Aggregates anonymised data across all clients to surface industry benchmarks, DP-VS correlations, and platform behaviour patterns.
→
Concept
Pixel — AI Traffic Tracking
Client-installed tracking that detects and attributes traffic originating from AI platform citations. Surfaces which pages AI is citing and whether citations are driving actual click-through.
→
Concept
Platform Architecture
How the AVO platform is structured across engines (Karsa, Ava, Netra), the partner deployment model (Sutra, Astra), and internal tooling (Artha, Shastra, Samhita).
→
Concept
Probe Intelligence
The secondary extraction pass that runs after VS probes complete. Builds the Relationship Map showing how AI positions a brand relative to its competitive landscape.
→
Concept
Vaidya — Page-Level Audit
Where AS gives a domain-level score, Vaidya gives per-page findings with severity ratings. The diagnostic bridge between domain scores and page-level remediation.
→