FAIV™ Insights
What we know about
AI visibility
Analysis, strategy and real learnings on how brand visibility works in generative AI engines.
Why AI doesn't recommend your brand (and what you can do about it)
AI visibility doesn't depend on budget or company size. It depends on the right signals.
GEO: what generative engine optimization is and how it differs from SEO
SEO optimizes for crawlers. GEO optimizes for how LLMs process, weight and cite information.
How to know if your brand appears in ChatGPT, Gemini and Claude
A practical method to audit your AI visibility today — without paid tools.
Trust signals: how AI decides who to recommend
AI doesn't recommend those who invest most in advertising. It recommends those with the right trust signals.
The difference between appearing on Google and appearing in AI
Two distinct layers of visibility, two types of user decision and two different strategies.
Perplexity vs ChatGPT: key visibility differences for brands
Not all AI engines are equal. Understanding how they differ is the foundation of an efficient visibility strategy.
AI visibility in the health sector: different rules, different signals
In health, AI is more conservative, more demanding about authority and more sensitive to trust signals. Here's how it works.
How AI categorizes your brand (and why that category determines everything)
Before recommending, AI classifies. If it can't classify you clearly, it won't recommend you in any category.
Why AI doesn't show your startup (even if you're better than the competition)
Product quality isn't enough for AI. What counts are signals — and startups usually have them poorly built.
When AI works against you: how to detect and correct harmful signals
Not all AI visibility is good. An incorrect or negative AI image is worse than invisibility.
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