
Proud Mary
AI Visibility Score and Ranking for
Coffee: Australia
Melbourne roaster with a rare cross-continental presence, roasting on two sides of the world.
Proud Mary ranks #9 in the AU Coffee AI Visibility Index with a Visibility Score of 8.0/100 — named in 36 of 450 AI answers across 22 of 150 tracked questions, averaging position 2.6 when mentioned.
8.0
Visibility score
9
Found Rank
-3
Movement vs last window
2.6
Avg. position when mentioned
22
Prompts hit, of 150
Proud Mary vs Coffee
Running at 1.7x the Coffee category average — ahead of the field.
8
5
Coffee
Where this brand sits in its industry
How it works
The questions shoppers ask. Every week. Every platform.
1. We ask what shoppers ask
150 questions per industry, drawn from real search and AI query data, not questions a brand would write about itself.
2. We ask every week, on every platform.
ChatGPT, Perplexity and Google's AI Overviews. Weekly scans, accumulated across a rolling scan window. Hundreds of answers per industry.
3. We record who gets named.
Every brand mention, its position in the answer, and which platform said it. The Visibility Score is the share of answers a brand appears in. Nothing weighted, nothing modelled.
How the score is measured
A fixed battery of questions per vertical, asked weekly on ChatGPT, Perplexity and Google AI Overviews and accumulated across the full scan window. Visibility Score is the share of all answers that named the brand. Every population is frozen before scoring, with a documented cut log.
Read the full methodologyFrequently asked questions
What is Proud Mary’s AI Visibility Score?
Proud Mary has an AI Visibility Score of 8.0 in the AU Coffee AI Visibility Index, ranked #9.
How often does AI recommend Proud Mary?
Proud Mary was named in 36 of 450 AI answers analysed, across 22 tracked questions, averaging position 2.6 when mentioned.
How is the AI Visibility Score calculated?
We asked ChatGPT, Perplexity and Google's AI Overviews the questions Australian coffee drinkers actually ask, and tracked how often each brand was named. Full methodology at flux.agency/found/methodology.
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