Emberos Makes Sure They See You.
The Tiered AI Visibility Index (TAVI) is the scoring framework that powers Emberos' visibility analytics. It converts thousands of AI-answer observations into a clear signal of how visible, trusted, and competitive a brand is inside generative environments.
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In search, visibility meant ranking. In AI, visibility means reasoning. Why a model includes you in its answers. TAVI translates that reasoning into three measurable layers that together form your AI Visibility Fingerprint.
The Three Visibility Tiers
Brand Ownership Score (BOS)
Direct visibility for branded questions.
Indicates factual accuracy and authority.
"What is [Brand] pricing?"
"Does [Brand] offer returns?"
Customer trust and data consistency
Category Dominance Score (CDS)
Competitive visibility when users compare options. Reflects market share within model reasoning.
"Best CRM for startups"
"Top eco running shoe brands"
Market presence and consideration share
Intent Expansion Score (IES)
Contextual visibility where the brand is not named but relevant. Shows reach into new audiences.
"Apps to manage remote teams"
"Things to do in LA this weekend"
Customer trust and data consistency
Demand creation and new audience reach
How TAVI is Measured
Emberos continuously observes how major models respond to prompts across these tiers. Each mention is scored on five dimensions:
Frequency
How often your brand appears
Prominence
Placement and emphasis within generated text
Accuracy
Alignment with verified brand data
Authority
Credibility of supporting citations or context
Tone
Sentiment or qualitative framing
Be the Brand
Machines Recommend.
From Measurement to Action
Once Fix Packs are implemented, the platform re-measures TAVI to confirm lift. This turns visibility management from a diagnostic exercise into an operational cycle.
- Narratives: Which narratives or data sources need reinforcement
- Visibility: The expected visibility lift once addressed
- Levels: Recommended priority level
Supporting Indices
TAVI connects to complementary signals that give richer context:
Sentiment Score
Unified AI brand perception
Signal Strength Index (SSI)
Quality and authority weighting
Prompt Demand Index (PDI)
Forecast of rising conversational intent
Citation Coverage Index (CCI)
Breadth and credibility of model-referenced sources
How Teams Use TAVI
TAVI gives every team a unified way to see how their brand actually appears inside AI systems. From marketing to insights to PR and governance, each team uses TAVI to measure, validate, and improve AI visibility. Here’s how different functions turn TAVI into an advantage.
Benchmark AI visibility alongside paid and organic performance
Correlate visibility lift with traffic and conversion data
Track factual accuracy and media echo inside models
Verify compliance and provenance of brand representations
Why TAVI Becomes the New Standard
Every era of digital growth creates its own metric: PageRank for search, engagement rate for social. TAVI is that metric for the AI era, unifying visibility, trust, and competitiveness into a single, repeatable score executives can track quarter over quarter.
The Future of Measurement
As AI agents move from recommending to purchasing, visibility becomes performance. TAVI will serve as the universal index that links brand integrity, discoverability, and commercial outcomes across every AI ecosystem.