What AI search visibility actually is
AI search visibility starts with the same fundamentals that support strong SEO: clear entities, useful answers, credible evidence, consistent business facts, authoritative third party mentions, and a technically accessible website. The difference is what gets rewarded. Traditional search returns a list and lets the user choose. An assistant synthesizes an answer and names a few options. Being one of those named options is the goal.
AEO, GEO, LLM SEO, and citation optimization
Structuring content so it can be used directly as an answer rather than a link.
Making your business legible to systems that generate answers instead of ranking pages. The abbreviation is ambiguous and also means geospatial, so we avoid it in isolation.
The practical craft of being retrieved and cited by large language models.
Earning the corroborating third party mentions that assistants lean on when deciding who to trust.
These overlap heavily. Anyone selling them as four separate products is selling you the same work four times.
Mostly the same work, measured differently
Roughly 80 percent of AI search visibility work is good SEO done with more care about factual precision and entity consistency. What differs is measurement and the role of third party corroboration. There is no rank position to track. You track whether you are mentioned, whether you are cited, what source got cited, and whether the description of you was accurate.
is good SEO done with more care.
Measurement without a rank position, and third party corroboration doing work that on page changes cannot.
What we actually do
What can and cannot be promised
We cannot guarantee that an AI assistant will cite you, and no one can. These systems are opaque, they change without notice, and their outputs vary between users and sessions.
Schema does not cause citations. An llms.txt file does not cause citations, and we treat it as an experiment rather than a deliverable.
What we can do is make your business accurate, consistent, well corroborated, and easy to describe, then measure honestly whether that is working.
How visibility is measured
We build a fixed prompt set for your services and market, questions a real buyer would ask, then track monthly whether you are mentioned, whether you are cited, which URL was cited, which competitors appeared, whether the description of you was factually right, and which sources the assistants kept returning to. Prompt wording, model, and date are recorded every time, because comparing results across changed prompts is meaningless.
Treat this as directional visibility monitoring, not a rank tracker.
What it costs
Per month, added to an existing program.
Per month. It works considerably better bundled, because the underlying fundamentals are shared.
Questions we get asked
What is answer engine optimization?
Structuring content so it can be used directly as an answer rather than as a link to click. In practice that means answering the central question early, plainly, and in a way that survives being quoted out of context.
What is generative engine optimization?
Making your business legible to systems that generate answers rather than rank pages. Note the abbreviation GEO is ambiguous, it also means geospatial, so we avoid it in isolation.
What is LLM SEO?
The practical craft of being retrieved and cited by large language models. It is the same fundamentals as SEO with more care about factual precision and entity consistency.
How do I get my company cited by ChatGPT?
There is no switch. You make your business accurate, consistent, and well corroborated by third parties, publish answers worth quoting, and then measure whether citations follow. Anyone offering a guarantee is describing something they cannot control.
Does schema make AI cite a website?
No. Schema helps machines parse what is already there, and we implement it where the visible content supports it. It does not cause citations, and any agency telling you otherwise is selling markup as magic.
Is SEO dead because of AI?
No. The fundamentals that earn rankings are the fundamentals that earn citations. What changed is the destination and the measurement, not the work.
How is AI visibility measured?
A fixed prompt set, run monthly, recording whether you were mentioned, whether you were cited, which URL was cited, which competitors appeared, and whether the description was accurate. Prompt, model, and date are logged every time.