Citation Optimization: Getting Cited by AI

Definition

Set of techniques aimed at maximizing the chances of your content being cited as a source by AI search engines.

Citation Optimization is a key GEO discipline that involves optimizing content to be cited as a reliable source by generative search engines (ChatGPT, Perplexity, Bing Copilot, etc.). This involves producing factual, well-sourced content with quantitative data, clear definitions, and a structure facilitating information extraction by LLMs. Citation factors include domain authority, content freshness, presence of structured data, and editorial clarity.

AI citation optimization Citation GEO

Key Points

Key GEO discipline for being cited by AI engines
Factual, sourced, and structured content is favored
Quantitative data and clear definitions increase citations

Practical Examples

Citable statistics

An article containing original, sourced statistics (e.g., '73% of SEO professionals use link building') has a strong chance of being cited by AI engines.

Clear definitions

Starting an article with a concise, factual definition of the subject increases the probability of citation by generative engines.

Frequently Asked Questions

How to measure your citations in AI engines?

Monitor referral traffic from AI domains (perplexity.ai, chatgpt.com, bing.com/chat) and manually test your target queries on these platforms.

What types of content are most cited?

Factual content with quantitative data, clear definitions, original studies, and structured practical guides are the most cited by AI engines.

Related Terms

Go Further with LemmiLink

Discover how LemmiLink can help you put these SEO concepts into practice.

Optimize your AI citations GEO strategies for agencies