For a long time, the SEO formula was simple: build backlinks, rise in the rankings, win the clicks. But as AI transforms traditional SEO, a new system is deciding which content surfaces — and it isn’t backlinks. It’s citations. In AEO, citations play a very different role than classic link-building: instead of other sites endorsing your page, AI answer engines are actively choosing your content as the underlying source for their generated responses. This evolution matters because the impact is concrete. When ChatGPT, Perplexity, or Google’s AI Overviews cite your page, you’re not just moving up a list of blue links. Your content becomes the answer for an expanding segment of buyers who never make it to the standard search results. And now that AEO tools and frameworks exist to track and improve this exposure, citations in AEO have moved beyond theory. They’re measurable, optimizable, and directly connected to revenue. In this guide, I’ll explain how AI engines decide which sources to cite, what kinds of content are most likely to be selected, and how to create a citation strategy that delivers tangible AI visibility using generative engine optimization tools and HubSpot’s integrated platform. Table of Contents: Why Citations Matter for Answer Engine Optimization (AEO) How AI Engines Choose Citations and Sources The Role of Citations in AEO What Types of Content Are Most Frequently Cited in LLMs? Frequently Asked Questions (FAQ) About the Role of Citations in AEO Citations Are Only the Starting Point for AEO Success Why Citations Matter for Answer Engine Optimization (AEO) First,…