A generative engine optimization agency that changes your source, not just your dashboard.

It is a service that works on being named inside AI-generated answers rather than only on ranking in a list of links. When someone asks ChatGPT or Gemini what to use in your category, a model assembles an answer from sources it can retrieve and trust. A GEO agency improves whether your site is one of those sources. Most vendors selling GEO today only measure it; the work is changing the pages the models already read.

Four layers, in order. Foundation: whether your pages can be crawled, rendered, and retrieved at all. Evidence: whether they contain original facts, specifications, methods, and comparisons rather than restated common knowledge. Distribution: whether anything outside your domain corroborates what you claim. Observation: recording which prompts return which citations, dated, so a change can be connected to a result. A program missing any one of these is not optimization.

Essential is $49.99 per site per month for monthly research and improvements. Pro is $149.99 per site per month for weekly checks and improvements. Both include supported drafts, customer approval, publishing, and live verification. Annual billing saves 20%.

It shares most of its foundation and diverges on what counts as a win. SEO succeeds when your URL appears in a ranked list. GEO succeeds when a model reproduces your information and attributes it to you, which can happen without anyone visiting the ranked list at all. The practical difference is that GEO rewards specificity and structure over keyword coverage: a page that states a real number, method, or constraint is quotable, and a page that summarises the category is not.

They overlap heavily and the industry uses them loosely. The useful distinction: AEO is about being the extractable answer to a specific question, which is largely a page-craft problem. GEO is broader — it also covers whether the model can retrieve you at all, whether anything off your domain corroborates you, and whether your entity is consistent enough to be recognised. AEO is a component of GEO in practice.

With a fixed panel of buyer questions, asked on a schedule, with every response stored. Foliora records the engine, the prompt, the market, the date, the response, the citation URLs, and which competitors were named instead of you. That matters because the same prompt returns different answers on different days — a single screenshot proves nothing, and a visibility score with no underlying observations cannot be audited.

ChatGPT and Gemini. We report the surfaces we actually sample rather than listing every assistant that exists, because a logo row is not a measurement. Each observation is stored with its engine, prompt, and date so you can reproduce it.

Frequently yes, and it is the most common surprise in the first snapshot. Strong Google rankings and zero AI citations happen constantly, usually because the pages that rank are commercial pages that never state the buying question in plain language. The reverse also happens. Running both checks before committing budget tells you which half is actually broken, which is why the snapshot is free.

No, and treat any GEO agency that does as a warning. Nobody controls model output, and citations vary run to run. What is honest to offer is this: the list of prompts where a competitor currently gets named, drafts on existing pages written to answer those prompts better, approval, and — on your own domain — a dated re-check so you can see whether it changed. Movement you can inspect beats a number you have to trust.