The Citation Method

The Citation Method is CitationLab's method for AEO and GEO optimisation. It models an AI answer as a chain of eight links — discovery, retrieval, selection, context, generation, citation, influence and action — measures each link separately, diagnoses which link a brand is losing at, and fixes the cause in that link rather than everywhere at once.

Because the citation is the point where visibility becomes measurable. Everything before it — being in the model's memory, being retrieved, surviving re-ranking, fitting in the context window — is invisible from the outside and can only be inferred. The citation is the first link you can observe directly, so it is the anchor the rest of the chain is measured around.

The ABC method — Acquisition, Behavior, Conversion — is a framework for measuring the commercial chain from traffic to revenue, and it is still in use here as the third layer of the Citation Method. What it does not do is explain why an AI model does or does not cite you. The Citation Method adds that: eight links describing how the answer is produced, and a diagnosis that points at one of them. ABC tells you the traffic is not converting. The citation chain tells you the traffic never arrived, and which of the eight links stopped it.

Both, and the distinction matters less than the vocabulary suggests. AEO (Answer Engine Optimization) is usually used about being the source an answer engine cites; GEO (Generative Engine Optimization) about being represented well in generated text. In the citation chain they are different links of the same chain: AEO is weighted towards links two through six, GEO towards links five through seven. We do not run them as separate services because a brand losing at link two cannot be helped by work aimed at link six.

From how retrieval-augmented generation actually works: a routing decision, a retrieval step, a re-ranking step, a context window with a hard limit, a generation step, and a citation step that is decided separately from the generation. The last two links, influence and action, are ours: they cover what happens after the answer is produced — whether the description is correct, and whether anything happens at your end. The model is descriptive, not proprietary. What is ours is measuring each link separately and treating the diagnosis as the deliverable.

The baseline exists after two to four weeks, which is when you first know where you stand. Technical work in link two and passage work in link four typically show within weeks. Selection in link three moves over one to two months. Entity work in link one is the slow one and should be judged in quarters, because the model's memory only updates when the models do.

ChatGPT, Gemini, Perplexity and Google AI Overview as standard, measured separately rather than averaged. Keeping them apart matters more than it sounds: the same brand is regularly dominant on one model and absent on another, and the causes differ — one of them may be reading a rendered page while another never gets past the JavaScript.

For phases one and two, nothing from you but your website and the names of your competitors — the measurement runs against public model answers. To close the chain at link eight we also need analytics, Search Console and whatever holds the conversion value: a CRM, order data, or an offline process. Without that last part, link eight is guesswork, and we would rather say so than report a number for it.

Yes, and it is a normal way to use the method. After phase two you have a baseline, and after phase three you have a prioritised list of causes tied to links in the chain. Many clients take that in-house and run the actions themselves. The daily measurement is what most of them come back for, because a plan without a time series behind it cannot tell you whether it worked.

Yes, and it is not an add-on. Every prompt returns whoever the model named, so competitor visibility is a by-product of measuring your own. It matters because share of voice in AI answers is a fixed-size pool: an answer names a handful of providers, and being absent from it is the same outcome whether the reason is your content or somebody else's.

No. The chain works the same at any size — the difference is how many prompts and categories it takes to cover the market you sell into. A specialist with one service area is often easier to move than a large brand with a diffuse entity, because link one rewards being unambiguous rather than being big.

Most AEO offerings start with the remedy — more content, more structured data, more links — and report on activity. The Citation Method starts with the diagnosis and refuses to act before it has one. Every action has to name the link it is meant to move and the measurement that will show whether it did. If it cannot, it does not get done.