AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) name the same goal with two labels: getting your brand named, recommended, and cited inside the answers AI systems give buyers — instead of ranking a link the way SEO does. GEO is the term from the original research; AEO is the name marketing teams use more often. In practice you work them the same way: give the models clear, well-evidenced reasons to pick you.
Both AEO and GEO are about the same shift: buyers increasingly ask an AI assistant — ChatGPT, Gemini, Claude, Grok — instead of scanning a page of links. What you compete for is no longer a ranking on a list; it's inclusion in the answer itself, and ideally the recommendation. SEO optimizes the link; AEO and GEO optimize whether the model names and trusts you.
The small distinction people draw: GEO came from an academic paper and leans toward generative engines specifically, while AEO is the broader, more common term that sometimes stretches to cover any answer surface, including featured snippets and voice. For a marketing team, the difference rarely matters — the work is the same: be easy to find, easy to recommend, and backed by proof the model can cite.
Whatever you call it, the hard part is knowing where you actually stand and what to publish next. That is where Trendscoded fits: it reads where your brand stands inside AI answers against your rivals, then turns the weak spots into a ranked list of next steps — the page, comparison, or proof that moves the answer.
$500 · 24 hours · founder-configured · fixed price · no subscription. Capped at the first 15 pilots.