Persona-Based Strategy
Measure how AI answers each of your audiences
An AI engine tailors its answer to who it believes is asking. A single average visibility score hides this: you can lead with one audience, be invisible to another, and never know it.
Ask the same question as two different audiences and you can get two different lists of brands. Perquery is built around this: you define personas for the audiences that matter, and each scan asks every prompt in each persona’s voice, next to a neutral baseline that is free on every plan.
Performance Overview, Prompts and Competitor Analysis can all be filtered by persona, and the Content Brief Generator can write for one. Insight and action stay tied to a real segment, not a blurred average.
What you can answer
- Which audiences see us, and which never do?
- Are we visible to our target personas, or to the wrong ones?
- Where is a competitor ahead of us for a specific persona?
- Do we score the same for everyone: a sign we aren’t differentiated?
Persona × LLM
Who sees you, and on which AI engine.
ChatGPT
Gemini
Claude
Perplexity
Google AI Mode
Enterprise buyers
82
64
71
40
68
SMB owners
48
52
33
20
41
Developers
60
44
78
55
36
Marketers
88
70
62
46
76
Students
30
38
22
16
Low visibilityHigh
Persona comparison
Compare two personas side by side
Visibility
71%
Rank
#2
Recommended brands
#1Perquery
#2Rival A
#3Rival B
#4Rival C
Visibility
80%
Rank
#1
Recommended brands
#1Perquery
#2Rival C
#3Rival A
#4Rival B