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Generative Engine Optimization

GEO for agencies, consultancies and service firms

Service firms sell trust, which makes them unusually exposed to how machines describe them. A prospect asking an assistant for a recommendation in your field is asking, in effect, who to trust with something important. The model's answer leans on reputation signals: who gets written about, who gets referenced as an authority, who clients and peers describe in credible terms.

That is both harder and fairer than it sounds. Harder, because you cannot manufacture a reputation with a clever page. Fairer, because genuine standing in your field translates fairly directly into the model's confidence. If respected sources treat you as a reference, so does the assistant. If you are invisible outside your own website, the assistant has little to go on.

The levers are the ones that build real authority. Publishing work that demonstrates genuine expertise, earning mentions and references from credible places, and being clear and consistent about what you do and who you do it for. Case studies and client outcomes help when they are specific and verifiable, because they give the model concrete evidence rather than adjectives.

There is a neat alignment here. The same things that make a model recommend a service firm, demonstrated expertise and a credible public footprint, are the things that win human clients too. You are not building a separate reputation for the machines. You are making sure the one you have is visible to them.