The Difference Between GEO, AEO And LLM SEO

That is the problem an AI SEO agency exists to solve. The work overlaps with traditional search marketing in places and diverges sharply in others, and the difference is worth understanding before you hire anyone. Here is what the job actually involves, stripped of the acronyms. ai citation tracking

That emphasis is worth watching, since retrieval is where most current influence actually lies. A proposal built primarily on getting into training data is describing a slower and far less controllable mechanism than one built on being retrievable now.

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.

The distinction to draw is between flat results with the inputs completed, and flat results with the inputs missing. The first is a category or timing problem and may be worth persisting with. The second is a delivery problem.

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.

Be wary of pricing tied to a proprietary visibility score, since the vendor controls both the number and the prompt set that produces it. Be equally wary of performance pricing tied to mentions, which sounds aligned and creates pressure to game the measurement rather than improve the business.

None of that is achieved by keyword density or by publishing more blog posts. It is closer to reputation work with a technical spine. The agency is trying to change what a model believes about your company, and models form beliefs from the whole web, not from your website alone.

A retrieval fetch reads text present in the response. If your dimensions, materials, compatibility and price are not there as text, they do not exist for this purpose, however clearly they display in a browser.

Product recommendations are a harder case than service recommendations, because the answer has to be specific enough to act on. A model naming a product is committing to a name, usually a price band and often a comparison, and it needs sources confident enough to support that.

Overclaiming here is the main risk to your own standing. A proposal that promises a channel shift and delivers a corrected directory listing will be remembered. One that promised a baseline and delivered a baseline plus some unexpected fixes will be renewed. ai citation tracking

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.

Assume the pitch is good. Everyone's pitch is good, and the vocabulary in this field is easy enough that a competent salesperson can hold a convincing conversation without anyone behind them who can do the work.

Ask What Happens in Month One A proposal that opens with content production has skipped the diagnosis. There is no way to know what to write before you know which questions matter, which assistants answer them badly and which sources they draw on.

Before leaving, make sure you take the prompt set, the baseline archive and everything published. If those were not yours under the contract, that is a lesson for the next agreement rather than something to negotiate at the exit.

Ask ChatGPT, Perplexity or Gemini to recommend a supplier in your category and you will get a short list. Three names, maybe five. Your customers are already asking those questions, and the answer they receive does not come from a page of ten blue links they can scroll past. It comes as a recommendation, delivered with confidence, and most people act on it without checking a second source.

The emphasis is on being included in a generated response, whether or not you are cited by name and whether or not it produces a click. The term appeared in academic work before agencies adopted it, which gives it slightly firmer footing than the alternatives.

Be Honest About What Cannot Be Measured State the limits at the top rather than being caught out on them. There is no console reporting how often you were named. Referral attribution is incomplete because some assistants strip referrer data. Most of the channel's value arrives without a click.

Treat your marketplace listings as primary marketing assets rather than as a sales channel afterthought. Check the specifications match your own, that the product name is identical and that the category is right. A listing contradicting your own site creates exactly the inconsistency that stops mentions resolving.

The Signals That Mean Nothing A rising composite visibility score with no methodology attached. The vendor controls both the number and the prompt set behind it, and it can improve without anything changing.