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Strategy, tactics and measurement methods for Generative Engine Optimization.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization is the practice of getting your brand mentioned and cited inside AI answers. Here is the complete 2026 playbook — concepts, metrics, tactics.
AI Search vs. Traditional SEO — what changed in 2026
AI search engines reshape the funnel. Here are the seven concrete differences between optimising for Google's blue links and optimising for ChatGPT, Perplexity and Google AI Overviews.
How ChatGPT picks sources — and how to be one of them
ChatGPT cites sources via two completely different paths: training data and live browsing. Here is what governs each, and what you can actually influence.
Perplexity citation guide — what gets cited and what doesn't
Perplexity is the most citation-heavy AI search engine. Here is a tactical guide to becoming a numbered source on Perplexity, based on six months of measurement data.
Schema markup for LLMs — the 2026 spec sheet
Schema.org JSON-LD is now load-bearing infrastructure for AI search. Here are the eight schema types that move the needle and the ones that don't.
Measuring AI share of voice — the metric that matters most
Visibility score is the headline KPI. But Share of Voice is the metric that tells you if you're winning or losing the market. Here is how to define, calculate, and track it.
Google AI Overviews explained — and how to be cited inside one
Google AI Overviews (AIO) sit above the blue links and synthesize answers from a curated source set. Here is how AIO selects sources and what to do about it.
llms.txt — the new robots.txt for AI engines
llms.txt is an emerging standard for declaring AI-friendly content sources at your domain root. What it does, who reads it, and how to ship one this week.
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