The 6 layers of ARIA
Layer 1
Monitor
Automated tracking across Google Search, Bing, YouTube, and Perplexity — every 6 hours. Captures where your brand is cited, ranked, and retrieved across all monitored query-engine pairs.
Layer 2
Diagnose
Five gap types identified with Impact Scores and Google Risk Scores: Rank Gap, Structure Gap, Freshness Gap, Entity Gap, and Benchmark Gap. Every gap has a specific fix.
Layer 3
Generate & Review
ARIA generates human-reviewed content patches for each diagnosed gap. Auto-deployment is permanently disabled at the infrastructure level — every change requires human approval.
Layer 4
Benchmark Engine
Monthly Pulse (free public benchmark), Quarterly Index (PDF report), Annual State of AI Discoverability (email-gated). Original benchmark data that builds citation authority.
Layer 5
Entity Authority Graph
Brand entity reinforcement across English, Tamil, and Hindi. Builds the entity profile that AI knowledge graphs use to identify and trust a brand as an authoritative source.
Layer 6
Citation Proof Archive
Every AI engine citation — query, response, date, SHA-256 hash — stored in an immutable record. Exportable as investor or board package. Undeniable proof of authority.
The governance principle
Non-negotiable design principle
“Deserve retrieval. Don't manipulate it.”
Every content change generated by ARIA requires human review before deployment. Auto-deployment is permanently disabled at the infrastructure level — not as a configuration option, but as a design principle. This is not a feature that can be turned off.
Related definitions
See ARIA in action
Start with a free AI visibility audit — the first step of the ARIA monitor layer.