# Generative Engine Optimization: RAG, Research, and Practice

> Generative engine optimization explained: RAG architecture, research findings, and practical optimization guide for AI search.

Canonical: https://www.wearefrank.fi/en/generative-engine-optimization/
Published: 2026-03-22
Modified: 2026-03-22

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Generative engine optimization means optimizing web content so that generative AI search engines pick it as an answer to user questions.

## How does generative engine optimization work technically?

Generative engine optimization is based on understanding RAG architecture.

RAG (Retrieval-Augmented Generation) works in three stages:

1. **Retrieval:** User question is converted into a search query
1. **Augmentation:** Most relevant pages are selected and fed to the language model as context
1. **Generation:** The language model reads the question and context, generates a unified answer

## What does research say about generative engine optimization?

Georgia Tech's 2024 study found that statistical citations increased citeability by 40%, and direct answers under headings were the most effective single structural change.

## Summary

Generative engine optimization means optimizing content according to RAG architecture requirements.

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