What it is.
Slate ran 10 prompts 100 times each in independent Claude sessions with no memory carried between them, across CRM, payroll, email, eSignature and project management.
That produced 8,989 brand mentions across 253 brands. The correlation between a brand's awareness rank and its comparison rank, for the 61 brands appearing in both, is 0.25, which is close to random.
For anyone working on AI visibility the blunt finding is the citation column: across all 1,000 runs, Claude returned zero citations.
What you get.
- The method: 10 prompts run 100 times each in independent sessions, across five verticals
- 8,989 brand mentions across 253 unique brands, parsed by hand
- Awareness-to-comparison rank correlation of 0.25 across the 61 brands in both
- Stability by category, where one payroll prompt returned the same ten brands in the same order in 63 of its 100 responses
- A confidence spread of 0.11 to 0.63 between categories inside the same model on the same day
- Sentiment movement, with 6.1% of awareness mentions cautious and 0% in comparison mode
Read it at the source.
Read the guide
Do repeat runs mean anything?
Who ran it?
Does Claude cite its sources when recommending brands?
Is it worth working on anything below the top two positions?
Does winning best-in-category queries help with alternatives queries?
How stable are AI brand recommendations?