LLM SEO · GEO · Answer Engine Optimization

LLM SEO — get your brand cited in AI answers

LLM SEO — also called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) — is the practice of making your brand visible inside the answers that ChatGPT, Gemini, Perplexity and Google AI Overviews give your customers. Ranking on Google is no longer enough. Increasingly, the first answer your buyer sees is written by an AI assistant, and if you aren't named or cited in it, you were never in the consideration set.

What LLM SEO actually measures

The Dear Future AI Visibility Engine runs a stratified prompt library against every major assistant, every day. From each answer we extract:

• Share of Voice in AI — your slice of the AI conversation vs the market, with a 95% Wilson confidence interval.
• Citations — which of your pages the assistant actually links to, and which competitor pages win when yours don't.
• Mentions & sentiment — whether your brand is named, in what order, and how it's framed.
• Whitespace — the prompts where competitors own the answer and you're invisible.

Why traditional SEO can't do this

Google keyword rankings tell you where your page sits in a list of blue links. AI Overviews and ChatGPT don't return a list — they return a synthesized answer, and only a handful of sources make it into that answer. LLM SEO measures who does. It also handles the messy statistics of AI output: models are non-deterministic, so a single query proves nothing. We aggregate weekly and run a significance test before flagging any change as real.

Answer Engine Optimization in practice

Each week, the Engine ranks the gaps in your AI visibility by win-likelihood × estimated impact — a prioritized to-do list, not a wall of data. You act on the highest-probability wins first, then prove the lift with control-group A/B tests against untouched prompts. That's what turns AEO from a buzzword into a measurable growth channel.