Perceptiq Blog
Field Notes For AI Visibility And Brand Perception
Practical guides for teams that want to understand how AI search sees their brand, where competitors win, and what to improve next.
Latest thinking
Guides built for AI-search operators.
Build the Brand Facts Page AI Can Trust
AI describes your brand from scattered, stale evidence unless you give it one canonical source. What a brand facts page includes, and how to structure it.
9 min readThe AI Visibility Metrics That Actually Matter
Skip the screenshot theater. A five-family AI visibility scorecard: visibility, competitive, evidence, perception, and progress metrics that create decisions.
9 min readThe Prompt Set Is the Strategy: How To Measure AI Visibility Across Real Buying Moments
Your AI visibility program is only as good as its prompt set. Here is the architecture, the seven prompt types, and a 20-prompt baseline you can build today.
10 min readHow AI Decides Which Brands To Recommend
AI recommendations are not magic. Learn the three-gate retrieval filter that decides whether AI recommends your brand, and how to find the gate you are failing.
9 min readHow to Audit How AI Sees Your Brand
Run an AI brand audit that shows where you appear in AI answers, how you are described, where competitors win, and what to fix first.
9 min readWhy AI Recommends Your Competitors Instead of You
Learn why AI recommends competitors in AI search answers, how to read the reason behind each win, and how to turn it into a practical fix.
9 min readAI Visibility vs AI Brand Perception: Why Showing Up Isn't Enough
AI visibility shows whether your brand appears in AI answers. AI brand perception shows whether it is understood correctly and recommended for the right reasons.
8 min readYour Next Customer Will Probably Ask AI First
AI brand discovery now happens before many website visits, as assistants build shortlists and shape how buyers understand and compare brands.
8 min read