SparkToro, 2026
<1%
identical brand lists across runs of the same prompt
Ask an AI model the exact same question twice, and you will rarely get the same answer. In fact, identical prompts return identical brand lists less than 1% of the time (SparkToro, 2026). A single chat session that names, or skips, your brand is a coin flip, not a strategy.
01Which LED mask…?Is red light safe…?Does it help fine lines…?
Ask
Real buyer questions, on every shelf
02- ChatGPT
- Gemini
- Google AI Overviews
- Google AI Mode
- Perplexity
- Copilot
Repeat
Multiple runs on 6 AI assistants
03
Count
~780 answers per shelf, every cycle
04
Measure
A margin of error on every score
We replace coin flips with measured numbers.
Shelvity runs every buyer question multiple times per shelf across 6 major AI assistants, aggregating around 780 query simulations per shelf every cycle. Every score in your report includes its sample size and margin of error. That is the difference between a loose hunch and a hard metric you can bring straight to your board.
Disclosure: Shelvity's founder also runs Lead Alchemist; partner agencies may pay us a referral fee. That never affects the index or a report's findings.