You do not need to master GEO, AEO and LLM SEO. You need to understand one thing: your clients increasingly ask AI for a recommendation before they ask a human, and the firms that win are the ones AI can find, trust and cite. The acronyms are just different routes to that single outcome.
Why this matters more than the jargon
AI tools have become a first stop for professionals looking for an answer. ChatGPT alone draws billions of visits a month; Perplexity handles hundreds of millions of queries. These tools increasingly answer the question without sending a click, which means your content can be doing the work while you see fewer visitors. Optimise for nothing, and you are absent at the exact moment a prospect is deciding who to consider.
The acronyms, briefly
Traditional SEO still ranks your pages in Google, and it remains the foundation — pages that rank well are far more likely to be the ones AI draws on, so you cannot skip it.
Answer engine optimisation (AEO) makes your content easy to lift as a direct answer. You structure pages around the questions clients actually ask and answer them plainly, near the top, so a tool can extract them.
Generative engine optimisation (GEO) goes a step further: it is about being cited by AI when it builds an answer. Models favour content with clear authority, structure, evidence and named expertise — so attributed quotes, statistics and proper sourcing measurably raise your chances of being referenced.
You will also hear LLM SEO and AI SEO. There is no settled distinction between them; even Google says optimising for generative search is still, fundamentally, optimising for search. Whatever you call it, the goal is the same: be found and trusted by AI.
How to choose where to focus
For a firm with limited marketing time, the sequence matters more than the labels. Get the basics ranking. Restructure your most important pages around real client questions so the answers are clean and extractable. Then build the authority signals — research-backed content, expert commentary, consistent details across the web, mentions in places AI already trusts. And because the platforms give you almost no analytics, check manually: run the queries you care about and see whether you appear.
The hard part is not knowing — it is doing it every month
None of this is complicated to understand. The difficulty is consistency: it asks for steady, repeated work at exactly the moment client delivery is most demanding. That is the gap the Expert Circle programme is designed to close. AI visibility is one of its themes, and members work through it as a structured monthly rhythm rather than a one-off scramble — with two people from the firm on one membership and an accountability meeting that asks whether you actually did the thing. The point is not to learn the acronyms. It is to be the answer when a client asks. You can see how it works at Expert Circle.
Three things to do this week
- Test it. Run three questions a prospect might ask into ChatGPT and Perplexity, and note whether your firm — or only your competitors — appears.
- Pick one page. Choose your most commercially important service page and rewrite the top of it to answer one real client question directly, in plain language.
- Add one proof point. Find a place to back a key claim with a statistic, a named expert or a client outcome, so AI has a reason to cite you rather than someone else.
AI search is a structural shift, not a passing trend. The principle underneath every acronym is the same — credible content, clear structure, authoritative signals. Get those right and you stop chasing the jargon and start being the answer.
