Glossary
Generative engine optimization (GEO)
GEO is the newest label for an old goal: being the brand a generative AI engine reaches for when it answers a buyer.
In short
Generative engine optimization (GEO) is the practice of improving how generative AI engines — ChatGPT, Perplexity, Google's AI answers — represent and recommend your brand. In practice it overlaps almost entirely with answer engine optimization: the real work is clearer pages, credible proof, and strong source trails, not prompt tricks. The 'generative' label just stresses that the engine writes an answer instead of returning a list of links.
Why it matters
Buyers increasingly read a generated answer before they click anything. GEO is simply the discipline of making sure that answer can understand, trust, and recommend you — which means the substance of your public evidence, not a new bag of tricks.
GEO vs SEO vs AEO vs LLM SEO
These terms describe overlapping work from different angles. SEO is the ranking layer underneath; GEO, AEO, and LLM SEO all point at the same newer goal — being well-represented inside AI answers. Chasing the acronyms matters less than improving the evidence they all depend on.
How Signalbat reads it
Signalbat does not optimize for a label. It reads what generative engines actually say about your brand, ties weak answers to the page, claim, or source behind them, and tracks whether the answer moves after you improve the evidence.