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Nordic Branch
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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.

1

Presence

AVI-P1

How 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.

Key metric: AI Citation Rate
Deep dive
2

Preference

AVI-P2

How 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.

Key metric: Sentiment Score
Deep dive
3

Proof

AVI-P3

Whether 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?

Key metric: Content Extractability Score
Deep dive
4

Path-to-action

AVI-P4

Whether 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.

Key metric: AI Referral Traffic
Deep dive
5

Risk

AVI-R

Whether 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.

Key metric: Brand Mention Velocity
Deep dive

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?

01

Keyword mapping

We identify your most important queries and your competitors.

02

AI testing

We query ChatGPT, Perplexity, Google AI, and Claude with your keywords.

03

Analysis

We analyze citation, sentiment, source attribution, and positioning.

04

Scoring

Each dimension is weighted and compiled into your AVI Score 0–100.

AVI Score FAQ

What is the AVI Score?+
The AVI Score (AI Visibility Index) is a proprietary measurement framework developed by Nordic Branch that evaluates a brand's visibility in AI-generated answers on a scale of 0–100 across five dimensions: Presence, Preference, Proof, Path-to-action, and Risk.
How does the AVI Score differ from traditional SEO metrics?+
Traditional SEO metrics measure visibility in search engine results pages (SERPs). The AVI Score measures visibility in AI-generated answers — a fundamentally different channel where 67% of searches are zero-click. The AVI Score complements SEO metrics by covering the growing AI answer ecosystem.
How long does an AVI Score analysis take?+
An initial AVI profile is delivered within minutes. Want a full GEO Audit with a detailed action plan? Contact us for a proposal.
Which AI platforms do you test?+
We test against ChatGPT (GPT-4), Perplexity, Google AI Overview, Claude, and Gemini. We continuously expand as new AI search engines launch.
Can I improve my AVI Score?+
Yes. Through Generative Engine Optimization (GEO) — a combination of content optimization, structured data, authority building, and technical optimization. We offer both audit and implementation services.
Why does my AVI Score vary between AI platforms?+
Each AI platform has its own training model, indexing frequency, and source handling. It's common for a brand to have high visibility in Perplexity (which retrieves in real-time) but low in ChatGPT (which relies more on training data).
What is "entity confidence" and why does it matter?+
Entity confidence measures how clearly AI systems understand who you are. If AI classifies you as a niche provider instead of a market leader, the likelihood of being recommended drops.
How does our source footprint affect AI visibility?+
AI cannot recommend what it cannot verify. Your source footprint is about how often you're mentioned in credible external sources, the depth of those mentions, and the data quality.

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.