aeo
GEO and AEO: How to Get Your Brand Cited by ChatGPT and AI Search
Search is splitting in two. Alongside Google, people now ask AI engines, and getting cited by them is a new discipline with its own rules. Here is the primer on AEO and GEO.
Author

For twenty years, being found meant ranking on Google. That is changing fast. A growing share of questions now get answered by AI, whether that is ChatGPT, Perplexity, or Google's own AI Overviews sitting above the traditional results. These systems do not hand back ten blue links. They synthesize an answer and cite a handful of sources. Getting your brand into that handful is a new discipline, and it has picked up two acronyms worth knowing: AEO and GEO. Here is what they mean and how to start showing up.
AEO versus GEO
The two are related but distinct, and it helps to keep them straight.
AEO, answer engine optimization, is about winning direct answers. Featured snippets, the "People also ask" boxes, voice-assistant responses. The goal is to be the single concise answer to a specific question, the thing that gets read aloud or pulled to the top of the page.
GEO, generative engine optimization, is about being cited inside generative AI answers. When ChatGPT or Perplexity composes a response and lists its sources, GEO is the work of being one of those sources. Both are a shift away from "rank a page in a list" and toward "be the answer itself."
What actually gets you cited
AI engines favor content that is clear, credible, and genuinely useful, which turns out to be less mysterious than it sounds. A few things reliably help:
- Answer questions directly. Lead with the answer, then explain underneath it. An answer buried in paragraph six rarely gets extracted.
- Structure for machines as well as people. Clear headings, clean formatting, and a logical flow make your content easy to parse and quote.
- Demonstrate real expertise. Depth, specifics, and original data signal a source worth quoting rather than one more thin summary.
- Build recognizable authority. Engines lean toward sources that the wider web already treats as credible on a topic.
The through-line: consistent, expert content
Underneath all of it sits one pattern. AI engines cite sources that are demonstrably expert and consistently present on a topic. A single page rarely wins the citation. A body of credible, on-topic content does, because it signals that you are a genuine authority rather than someone who wrote about the subject once. Which means the same behavior that builds human trust, showing up repeatedly with real expertise, is what builds machine citation too.
This is why a strong thought-leadership habit is quietly a GEO strategy. Tools that help you produce consistent, expert content in your voice, such as Poplar, feed exactly the signals these engines reward. You are not gaming an algorithm. You are becoming the kind of source AI wants to quote, which is a far more durable position than any trick.
Search is not dying. It is fragmenting across Google and a growing set of AI answer engines. The brands that adapt now, by becoming the clear, credible answer in both places, will own a decade of discovery while everyone else is still optimizing for a results page that fewer people scroll.
Related reading
Share

