Search is changing. Large language models, AI overviews, and answer engines are reshaping how people find information, and your content either gets cited or gets skipped. Answer engine optimization is the practice of structuring your pages so AI systems can extract, attribute, and reference your expertise. It goes beyond traditional SEO by focusing on how machines read, summarize, and decide which sources to trust when generating answers.
These posts cover citation optimization, structured data for AI extractability, content formatting that machines can parse, and the broader shift from keyword-driven search to conversational answers. We explore how entity recognition, semantic markup, and clear topical authority influence whether your page becomes the source an AI quotes or the one it ignores. We're building eiAEO to help sites prepare for this new landscape, and we share what we're learning along the way, from the patterns that earn citations to the mistakes that get your content overlooked. Whether you're optimizing for ChatGPT, Google AI Overviews, or Perplexity, the principles start here.
Written by Brent Passmore, Had A Farm