GEO Explained: How Developers Can Get Their Content Cited by AI Answer Engines

Generative Engine Optimization (GEO), also called Answer Engine Optimization (AEO), is an emerging practice focused on structuring web content so AI-powered tools like ChatGPT, Perplexity, and Google AI Overviews cite it as a source. Unlike traditional SEO, which targets ranked link results, GEO requires content to be highly extractable — meaning AI systems can lift clear, factual answers directly from the text. Key tactics include answering the core question within the first 60 words, using question-style headings, adding structured data markup, and maintaining consistent brand entity information across platforms. A developer writing on DEV Community shared that indie makers are increasingly asking how to appear inside AI-generated answers, and outlined a CLI tool he built to identify keyword gaps and question-style content clusters suited for both SEO and GEO. He argues the challenge is less about writing quality and more about identifying which conversational queries AI engines are already drawing from — framing it as a data problem rather than a content problem.