# How to Do AI Optimization in Practice?

> How to do AI optimization in practice? A 5-step guide covering auditing, strategy, technical implementation, content, and tracking.

Canonical: https://www.wearefrank.fi/en/how-to-do-ai-optimization/
Published: 2026-03-22
Modified: 2026-03-22

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AI optimization is done in five steps: audit the current state, build a content strategy, optimize technical aspects, produce GEO content, and track results.

## Step 1: How is an AI visibility audit done?

The first step is to find out which AI searches your company already appears in and which not. The audit is done by testing 20-30 search terms across four platforms: Google AI Overview, ChatGPT, Perplexity, and Microsoft Copilot.

## Step 2: What content strategy works for AI search?

An effective GEO content strategy is built on a pillar-cluster model, where one comprehensive page serves as a hub and 5-10 specialized articles support it.

## Step 3: What technical changes does AI optimization require?

Technical optimization forms the foundation. Three critical elements are schema markup, website structure, and indexing speed.

- **FAQPage:** questions and answers that AI picks as direct answers
- **HowTo:** step-by-step instructions
- **Article/BlogPosting:** article metadata, author, publication date
- **Organization:** company details for entity recognition
- **BreadcrumbList:** site hierarchy as navigation path

## Step 4: How to write GEO-optimized content?

The core principle: answer the question directly right under the heading and justify afterward. AI picks answers from pages where the answer is found quickly.

## Step 5: How to measure and track AI visibility?

AI visibility measurement differs significantly from traditional SEO tracking, as the key metric is not ranking but mention frequency.

## Summary

AI optimization in practice means a five-step process: audit, strategy, technology, content, and tracking.

[Order a free AI visibility report](/en/ai-visibility-report/)