AVI Score™AI Visibility Index
The AVI Score (AI Visibility Index) is a proprietary measurement framework developed by Nordic Branch that provides an objective picture of how visible your brand is in AI-generated answers. The score is measured on a 0–100 scale across five dimensions and benchmarked against your competitors.
Why measure AI Visibility?
67% of all Google searches are zero-click (SparkToro 2025). 48% of search results now show AI Overviews (BrightEdge 2026). Conversion rate from LLM traffic is 11x higher than traditional organic traffic (Ahrefs 2025).
AI visibility compounds. The brands building strong AI signals today become the default recommendations tomorrow. Our audits consistently show that the gap between market leaders and challengers is rarely about brand strength. It comes down to structural GEO signals: entity recognition, source depth, and how consistently AI perceives your identity across platforms.
Despite this, most companies still only measure traditional search visibility. The AVI Score fills this gap by measuring what actually determines whether your brand appears when AI answers.
The 5 dimensions
Each dimension is independently measured on a 0–100 scale and weighted into a composite AVI Score.
Presence
AVI-P1How often your brand appears in AI-generated answers for relevant queries. We measure citation frequency across ChatGPT, Perplexity, Google AI Overview, and Claude for your target keywords and compare against competitors.
Preference
AVI-P2How favorably AI describes your brand compared to competitors. We analyze sentiment, positioning (first mention vs buried), and whether AI recommends you as a top choice or just lists you among many.
Proof
AVI-P3Whether AI cites your content, data, and research as evidence in its answers. This dimension measures source attribution — does the AI link to your site, reference your reports, or quote your data when supporting its claims?
Path-to-action
AVI-P4Whether AI answers include actionable links to your site or recommend concrete next steps involving your brand. We measure click-through potential from AI-generated responses and whether your conversion paths are preserved.
Risk
AVI-RWhether competitors or negative content dominates AI answers about your category. This defensive dimension identifies threats: competitor mentions, outdated information, or inaccurate claims that AI might surface about your brand.
What stops AI from recommending you?
Low AVI scores are rarely about weak branding. They come down to three structural signals that determine whether AI chooses to cite you.
Inconsistent AI presence
Your visibility varies significantly across platforms. You might appear in Perplexity but be invisible in ChatGPT. This signals that visibility relies on live retrieval rather than learned AI confidence.
Low entity confidence
AI systems classify you as a niche provider instead of a market leader. Low brand recognition and unclear entity identity reduce the likelihood that AI recommends you over competitors.
Weak source footprint
AI cannot recommend what it cannot verify. Insufficient citation signals, low mention depth, and weak data quality in external sources limit your visibility.
These are not brand problems. They are structural GEO signals that determine whether AI recommends a provider.
How is the AVI Score calculated?
Keyword mapping
We identify your most important queries and your competitors.
AI testing
We query ChatGPT, Perplexity, Google AI, and Claude with your keywords.
Analysis
We analyze citation, sentiment, source attribution, and positioning.
Scoring
Each dimension is weighted and compiled into your AVI Score 0–100.
AVI Score FAQ
What is the AVI Score?+
How does the AVI Score differ from traditional SEO metrics?+
How long does an AVI Score analysis take?+
Which AI platforms do you test?+
Can I improve my AVI Score?+
Why does my AVI Score vary between AI platforms?+
What is "entity confidence" and why does it matter?+
How does our source footprint affect AI visibility?+
Ready to measure your AI Visibility?
Request your AVI Score and get an objective picture of how your brand performs in AI answers compared to your competitors.