The Difference Between GEO, AEO And LLM SEO
Where the Distinction Does Matter One place, and it is worth being alert to. Read broadly, answer engine optimization includes surfaces that are not generative at all, such as featured snippets and structured result features.
In practice it is used to mean roughly the same thing as generative engine optimization, occasionally with a stronger emphasis on training data and brand presence in the underlying corpus rather than on live retrieval.
Buying a Score Instead of Evidence A monthly number that rises is easy to present and impossible to audit. The vendor controls the number and the prompt set behind it, and a client has no way to distinguish real improvement from a methodology change.
Keep a small number of deliberately hostile prompts in the set permanently. Questions asking whether you are expensive, slow or suitable only for large clients reveal what the system believes about your reputation, and the belief is often traceable to one specific source. Nobody enjoys reading those answers, and they generate more actionable work than the flattering prompts do.
There is a related mistake worth naming, which is copying a tactic from a case study in an unrelated category. What works is heavily shaped by which sources your particular category's answers are built from, and a technique that transformed visibility for a software company may be irrelevant to a regional contractor whose answers come entirely from two review platforms. Read your own citation list before adopting anybody else's playbook.
Some practitioners still use it that way, which makes it a superset of the newer work. Others use it as a synonym for the generative work specifically. Both usages are in circulation, which is why asking somebody what they mean by it is a reasonable question rather than a pedantic one.
Prioritise by your own citation data rather than by prestige. A trade directory nobody has heard of that appears in half your category's answers is worth more attention than a well known publication that never gets cited. ai visibility agency
Lead With Evidence Nobody Can Dismiss Do not open with market forecasts. Open by running three prompts in the meeting: the question your best customer would have asked before they found you, the comparison question naming your main competitor, and the question asking who your company is.
Expect the vocabulary to keep shifting, and expect new terms to arrive with each wave of positioning. The underlying work has been stable since these systems started retrieving live sources, and it is the work rather than the name that you are buying. ai visibility agency
Second, prompts that presuppose a weakness: is this company expensive, are they slow, are they suitable for small clients. The answers reveal what the system believes about your reputation, and where the belief is wrong it points at a specific source you can correct.
The Structural Reason A system composing a recommendation needs to weigh several options against each other. A review site has already done that. A brand site argues for one option and has an obvious interest in the conclusion.
Starting With Content The most common and the most expensive. A brand decides to take this seriously and commissions twenty articles, without knowing which questions matter, which assistants answer them badly, or which sources those answers are built from.
The condition is that it has to be honest. A comparison where every row favours you is transparent to readers and produces nothing quotable as an impartial claim. Name real competitors, use concrete axes, and state plainly where somebody else is the better choice.
The test is simple. If somebody on your sales team reads a question and does not recognise it, delete it. The value of this entire approach rests on the questions being real, and a set half filled with invented ones is barely better than a keyword list. ai visibility agency
Real questions are messy, specific and frequently uncomfortable. They ask about price, about limitations, about whether you can handle a particular awkward situation. That specificity is exactly what makes an answer quotable, because it matches the shape of a real query rather than a generic one.
Weight toward the commercial tiers. Roughly a third on buying intent, a quarter on evaluation, a quarter on problem framing and the remainder split between definitional and branded is a reasonable starting distribution.
Ahrefs measured the overlap in July 2025 across 15,000 long-tail prompts and four assistants, finding roughly 80 percent of cited pages did not rank for the original query at all. Ranking gets a page considered. It does not reserve a seat.
Answer Engine Optimization Older and broader in origin. It predates the current generation of assistants and originally covered any surface that answers directly, including featured snippets, knowledge panels and voice assistants.
A prompt set built from internal vocabulary measures how visible you are to people who already talk like you, which is a group that mostly consists of your own staff. It reliably produces flattering results and no useful information.