What is the AI Visibility Scorecard?

The AI Visibility Scorecard is a free, open-source, browser-based tool that scores how ChatGPT, Gemini, Perplexity, and Claude cite and recommend a brand across six metrics.

How is AI visibility different from SEO?

SEO measures how you rank on Google. AI visibility measures whether AI assistants cite and recommend you in their answers. A brand can rank well and still be invisible inside assistant responses.

What does the Scorecard output?

A per-assistant view of citation and recommendation behavior across six metrics. On a live relaunch it surfaced a citation gap between Perplexity (~71%) and Gemini (14%) that redirected page and keyword strategy.

Yes. It runs in the browser and is open-sourced under Aurics.

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AI Visibility Scorecard

SEO measures how you rank on Google. It says nothing about whether AI assistants recommend you. The Scorecard closes that gap - a browser-based tool scoring how ChatGPT, Gemini, Perplexity, and Claude cite and recommend a brand across six metrics. Built in Claude Code, open-sourced under Aurics. On a live relaunch, it surfaced a per-assistant citation gap (Perplexity ~71% vs. Gemini 14%) that redirected page and keyword strategy.

Live demo GitHub

What it measures

Mention Rate: Percentage of scored responses in which the brand is named.
Recommendation Rate: Percentage in which the brand is actively recommended, not merely listed.
Share of Voice: Brand mentions relative to brand plus competitor mentions.
Citation Rate: Percentage of brand mentions that cite or link to the brand's website.
Accuracy: Whether factual claims about the brand are correct (optional; requires brand ground-truth).
Average Position: Mean rank when the brand appears among listed options.

How to use it

Choose the buyer-intent questions relevant to the brand and category.
Configure the brand, competitors, and AI assistants.
Run the queries in the consumer assistants and score what appears.
Establish a Baseline.
Make discoverability, content, and positioning changes.
Rerun the same test as Current.
Compare changes over time.

Why the scoring is buyer-view based

The scorecard measures what a buyer actually sees in consumer AI assistants. The methodology therefore scores the end-user answer directly rather than treating a separate API output as equivalent to the consumer experience.

What it is useful for

The method can support:

A new product launch.
Product or company repositioning.
A website or content rebuild.
An established brand assessing how AI assistants describe, cite, and recommend it.

What it does not claim

The scorecard measures observed assistant responses at a point in time. It does not guarantee future rankings, citations, recommendations, or causality between an individual optimization and a later score change.

Part of the AEO & GEO practice.

FAQ

What is the AI Visibility Scorecard?: The AI Visibility Scorecard is a free, open-source, browser-based tool that scores how ChatGPT, Gemini, Perplexity, and Claude cite and recommend a brand across six metrics.
How is AI visibility different from SEO?: SEO measures how you rank on Google. AI visibility measures whether AI assistants cite and recommend you in their answers. A brand can rank well and still be invisible inside assistant responses.
What does the Scorecard output?: A per-assistant view of citation and recommendation behavior across six metrics. On a live relaunch it surfaced a citation gap between Perplexity (~71%) and Gemini (14%) that redirected page and keyword strategy.
Is it free to use?: Yes. It runs in the browser and is open-sourced under Aurics.