My First Conversion
A few months ago, I had a revealing experience – not as a co-founder of the GEO platform, but simply as a regular user. I needed to roughly understand what kind of advertising budget one of my competitors might be running on social media. Not exact numbers, just an order of magnitude to reality-check my assumptions. I asked this question in Perplexity.
During the conversation, the AI:
- provided approximate figures,
- explained the logic behind the estimates,
- offered a few recommendations,
- and, at the end, listed the sources it was relying on.
One of those sources was a marketing agency. The pricing and conditions Perplexity referenced as an example caught my attention. I clicked through to the agency’s website, reviewed their cases, read the service descriptions, and left a contact request.
Only after closing the site did I fully realize what had just happened: I had converted – but not from Google, Facebook, or Instagram. I came as a customer directly from an AI system.
A fundamentally new scenario
What matters here is what didn’t happen.
- I didn’t compare five agencies.
- I didn’t open a top-10 list of websites.
- I didn’t read reviews or ratings on Google Business.
- I didn’t compare multiple offers side by side.
Perplexity gave an answer, mentioned a source – and that was enough for me to take action.
It was a source within an AI system that I generally trust. The reasoning Perplexity provided felt coherent and convincing in the moment. And that alone was sufficient to trigger the click.
The answer already contained an expert framing and clear context. The source was not perceived as “one of many”, but as part of the argument itself – almost as the conclusion. My click was commercially motivated, not exploratory.
This was not a classic SEO journey. It was a decision-driven scenario, where
the AI effectively acts as a consultant: filtering information, structuring the response, and making recommendations.
It’s worth noting that this isn’t really about Perplexity as a platform. I use different models for different purposes and often ask questions wherever it feels most convenient at the moment. The exact same scenario could have happened in ChatGPT (for some reason, it didn’t – but that’s beside the point). The point isn’t the specific AI.
It’s the usage pattern of generative models themselves.
What this means for business
In generative search, the winners are no longer those with the most traffic or the highest positions in the SERP. The winners are those embedded directly into AI-generated answers.
GEO (Generative Engine Optimization) is not about optimizing for clicks, but for being included in the answers.
From a business perspective, several conclusions follow naturally.
- First, AI already influences real decisions, not just information discovery.
- Second, users trust ready-made answers instead of conducting their own research.
- And third, a brand mention inside an AI response is effectively the entry point into the funnel.
In practice, AI has become a new customer acquisition channel. It is still poorly measured and far from transparent – but it is already working.
What this means for GEO and our platform
This personal case became another confirmation for me that GEO is not a hypothesis, not a future trend, and not an experiment for SEO enthusiasts. It is a new point of contact between brands and customers, and it is already converting.
If a brand does not know whether it appears in AI-generated answers, does not understand how it is presented there, and does not track the context in which it is mentioned, it is simply losing customers without even realizing it.
If AI systems are already capable of bringing clients to agencies, services, and brands, then the question is no longer whether GEO works. The real question is this:
Do you know what AI says about your brand? And whether it says anything at all?
Nina S.Dzhezher