Citation diagnosis
A check of whether and how your brand appears today in the main assistants' answers, by purchase question.

Service
Showing up in the answers from ChatGPT, Gemini and Perplexity, not only on Google. Part of purchase research now ends before the click.
When the assistant answers, the decision happens right there, with no visit to the site. Anyone not structured to be cited simply does not exist at that stage. AEO is the work of making the brand legible to these models and measuring what is being cited.
Book a 30-min conversationDeliverables that work together or separately, depending on where your brand stands.
A check of whether and how your brand appears today in the main assistants' answers, by purchase question.
Schema and markup designed for AI extraction, which reads differently from a traditional search crawler.
Material that answers the question directly, with source and context, which is what the model cites.
Work on the databases and directories the models frequently consult to assemble an answer.
Tracking of mentions and citations in each assistant, with a history of how it evolves.
Fixing what is not being cited, based on what the monitoring shows.
A clear method. A partner who stays when execution starts.
We start by checking what the assistants already say about your brand today. Without a baseline there is no way to know whether it improved.
A model cites what it can extract clearly. Badly structured content does not make the answer, however long it is.
A claim with no source is not cited with confidence. The content has to back what it says.
We do not work with attempts to manipulate models. What works is being the best available source on the subject.
AEO does not replace traditional search. The two coexist, and the technical foundation serves both.
No. Traditional search still brings most of the traffic. AEO covers the slice of the journey that now ends in the assistant's answer, and that slice is growing.
We query the main assistants with your segment's purchase questions and record when the brand appears, in what context and with which source.
It works best where research involves comparison and doubt, which is when people ask an assistant instead of going straight to the store.
The models refresh their base at different rates. Change usually appears within one to three months, which is why monitoring is continuous.
No, and anyone who guarantees it is selling an illusion. You can raise the probability substantially by structuring content the way the model can use it.
It helps a lot. The structured data that serves Google is the same foundation the model reads, so the two fronts support each other.
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