Findabl Guides
Everything you need to understand Generative Engine Optimization, AI citation intelligence, and how Findabl helps you show up in AI answers.
Foundations
Core concepts — what GEO is, how Findabl measures it, and how to read your scores.
What is Generative Engine Optimization (GEO)?
GEO is the practice of getting AI engines like ChatGPT, Perplexity, Claude, and Gemini to cite your brand when users ask them questions. Here is what it means and why it matters.
How Findabl measures AI citations
The methodology behind every citation scan: unbranded query generation, multi-engine monitoring, and how we separate what AI cites from what your brand says about itself.
Understanding the GEO Score
How Findabl calculates the GEO Score: a blend of 70% citation rate and 30% site readiness, designed to give you one honest number without hiding the inputs.
Why we only use unbranded queries
If you only show up in AI responses when the prompt already names you, you are not really being cited — you are being echoed. Here is why Findabl never injects your brand into tracked prompts.
Understanding Citation Variance
Why AI engines like ChatGPT, Perplexity, Claude, and Gemini produce different citations between runs — and how Findabl separates signal from noise.
GEO vs SEO: how they differ and how to run both
SEO optimizes for rankings in a list of blue links. GEO optimizes for being the single source an AI engine picks. Same goal (visibility), different mechanics.
Strategy
How to earn citations and improve your citation rate over time.
Product
How specific Findabl features work — gap analysis, publisher index, and more.
Troubleshooting
Diagnosing issues when you are not being cited, or when metrics look off.
Ready to see your citation rate?
Run a free citation scan and see how ChatGPT, Perplexity, Claude, and Gemini answer unbranded questions about your category.
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