What is GEO?
GEO is an acronym for Generative Engine Optimization in English; it can be translated as "Üretici Motor Optimizasyonu" (Generative Engine Optimization) in Turkish. It is the optimization practice performed to have content cited as a source in AI-powered search and chat systems like ChatGPT, Perplexity, Gemini, and Google AI Overviews.
Classic SEO aims to make your site stand out for link-listing search engines like Google. GEO, on the other hand, goes a step further: it aims to ensure your content is mentioned, quoted, or directly cited as a source in a response generated by artificial intelligence.
How Does AI Search Differ from Traditional Search?
Traditional search engines present users with a list of links; the user clicks on one of these links and reads the content themselves. AI search, however, works differently:
- The user asks a question.
- The AI system synthesizes information from internet sources (or training data).
- It generates a ready-made answer; the user often does not have to click.
- Sources may be shown below the answer, but sometimes they are not.
This structure changes the meaning of "being a source." In traditional SEO, ranking is important; in GEO, it is important for AI to refer to your content when generating a response.
Key Differences Between SEO and GEO
| Criterion | SEO | GEO |
|---|---|---|
| Target System | Google, Bing search engines | ChatGPT, Gemini, Perplexity, AI Overviews |
| Success Indicator | Ranking position, organic click-through | Source citation, quotation rate |
| Content Format | Keyword density, heading hierarchy | Question-answer structure, unique definitions, attributable data |
| Technical Infrastructure | Speed, mobile compatibility, crawlability | Structured data, llms.txt, AI bot access |
| Authority Signal | Backlink profile | E-E-A-T, entity clarity, social proof |
| Measurement | Rankings, CTR, organic traffic | AI citation test, branded search trend, direct traffic |
Do GEO and SEO Conflict?
No — quite the opposite, they reinforce each other. A good SEO foundation is necessary for GEO; however, it is not sufficient. Being ranked highly in Google's organic search does not guarantee that Perplexity will cite you as a source. On the other hand, good GEO work (deep content, strong E-E-A-T, structured data) also boosts your SEO performance.
Practical approach: maintain a solid SEO foundation, and add GEO-specific layers on top (llms.txt, FAQPage schema, question-focused content, quotable data blocks).
Which AI Systems Should Be Optimized For?
The order of priority specifically for Turkey is as follows:
- Google AI Overviews / Gemini: Highest reach potential due to Google's market dominance
- ChatGPT (GPT-4o): The most widely used AI assistant globally; over 200 million monthly active users
- Perplexity AI: Rapidly growing market share in research-oriented queries; the most transparent system for source citation
- Claude (Anthropic): Strong in long-form content analysis and coding queries; growing in enterprise use
How Is GEO Measured?
A standard measurement infrastructure for GEO has not yet matured; however, the following methods are used in practice:
- Manual AI test: Check whether your site is cited as a source in the answers by asking your target keywords to ChatGPT, Perplexity, and Gemini
- Branded search tracking: The trend of Google searches for your brand name is an indirect indicator of AI visibility
- GEO score tools: Platforms like GeoSkoru automatically evaluate your site based on structured data, content depth, and technical readiness criteria
First Steps for GEO
To start with GEO, it is sufficient to implement these three basic steps on your site:
- Enable AI crawler access: If you are blocking GPTBot, PerplexityBot, or Google-Extended in your robots.txt, remove them
- Add structured data: Add Organization, Article, and FAQPage schemas to your priority pages
- Increase content depth: Identify pages under 300 words and expand each to at least 800 words
GeoSkoru's free analysis shows the current status of your site according to these criteria in seconds and clearly identifies priority improvement areas.