Roughly 60% of Google searches now end without a click (SparkToro, 2024). That number climbs as AI Overviews answer questions on the results page itself.
If your growth still assumes a searcher clicks through to your site, it's aimed at a shrinking target.
Generative Engine Optimization (GEO) is the practice of structuring content so AI engines — ChatGPT, Perplexity, Gemini, Google AI Overviews — cite your business inside their generated answers.
SEO vs AEO vs GEO in one line
| Winning unit | Key signal | |
|---|---|---|
| SEO | The page | Backlinks, relevance |
| AEO | The paragraph | Structured answers, schema |
| GEO | The quotable sentence | Citations, statistics, entity clarity |
The Princeton-led GEO study found adding statistics, citations, and expert quotes can lift a page's visibility in generative answers by up to 40%.
What actually moves the needle
- Self-contained sentences the model can quote without losing the subject
- At least 2 sourced statistics per topic
- FAQPage / Article / Speakable schema that matches your visible copy
- An
llms.txtfile pointing crawlers at your key pages
One gotcha we hit repeatedly: teams add schema but leave the visible copy vague. Engines cross-check structured data against on-page text — if they don't match, the schema gets ignored.
I wrote the full breakdown (with a schema snippet and a 6-step starter workflow) here:
👉 Read the full guide on Loop2Tech
How are you approaching AI search visibility? Drop your take in the comments. 👇
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