Interior Secrets
AI Visibility Score and Ranking for
Furniture: Australia
Designer-look furniture retailer at accessible price points, online-led.
Interior Secrets ranks #14 in the AU Furniture AI Visibility Index with a Visibility Score of 4.0/100. It was named in 72 of 1,800 AI answers across 31 of 150 tracked questions, averaging position 3.0 when mentioned.
4.0
Visibility score
14
Found Rank
0
Movement vs last window
3.0
Avg. position when mentioned
31
Prompts hit, of 150
Interior Secrets vs Furniture
Running at 0.6x the Furniture category average — a little behind the field.
4
7
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 Interior Secrets's AI Visibility Score?
Interior Secrets has an AI Visibility Score of 4.0 in the AU Furniture AI Visibility Index, ranked #14.
How often does AI recommend Interior Secrets?
Interior Secrets was named in 72 of 1,800 AI answers analysed, across 31 tracked questions, averaging position 3.0 when mentioned.
How is the AI Visibility Score calculated?
We asked ChatGPT, Perplexity and Google's AI Overviews the questions Australian furniture shoppers actually ask, and tracked how often each brand was named. Full methodology at flux.agency/found/methodology.
Now you know the gap. Here's how it closes.
AI recommends what it can understand. We rebuild how your products, pages and entities are described so there is something for it to recommend. Fixed price, starts with an assessment.
See how we fix it