Score model for discoverability and recommendation strength.
01Sales deck
Perceptiq for AI visibility and brand perception
A controlled, reusable sales deck structure for customer conversations.
02Problem
AI answers are becoming a new discovery layer
Brands are no longer only competing for search rankings. They are competing for how AI systems describe, compare, and recommend them.
- Customers increasingly ask AI systems before they visit websites.
- AI answers synthesize brand reputation from fragmented public signals.
- Most teams cannot see which gaps, risks, and competitors shape those answers.
03Brand ICP
Brand teams need visibility into an answer layer they do not control
Perceptiq helps brand and growth teams understand how AI systems compare them against alternatives and where public signals create perception gaps.
- See which prompts trigger competitor recommendations.
- Find weak or missing evidence that affects AI answer quality.
- Translate findings into content and market perception initiatives.
04Product
Perceptiq turns AI visibility into an operating system
The platform monitors how AI systems understand a brand, identifies the causes behind weak recommendations, and turns the findings into prioritized actions.
- Track visibility across real customer prompts.
- Understand perception gaps, risks, competitors, and advantages.
- Prioritize initiatives that improve how AI systems represent the brand.
05Proof
From scattered AI answers to measurable visibility work
The reusable metrics slide can be shared across sales and investor decks while the values evolve from approved source content.
Evaluation reflects real buying journeys and ICP-specific questions.
Findings are translated into concrete content and positioning work.
06Next step
Let us map where AI answers already shape your market
This shared contact slide should stay consistent across sales decks and investor follow-ups.