GEO is the work of shaping a brand's site, content and wider digital footprint so AI engines (ChatGPT, Claude, Gemini, Perplexity, Google's AI Overviews, etc.) recognize it, cite it and recommend it inside their answers.
SEO is about ranking a link on a results page. GEO is about getting named in the answer. They work together: solid SEO groundwork helps, but it does not guarantee a model will mention you.
How often your brand comes up against specific competitors when an AI is asked the buying questions from your industry, and how that share moves over time.
We run a set of industry questions through each engine on a schedule, save the answers as evidence, and compare three dimensions: visibility, competitiveness, and the quality and trustworthiness of each mention.
An interactive dashboard with where you stand across the three dimensions, how you compare to the competitors you actually run into, the saved evidence behind every answer, and a roadmap ordered by impact.
It depends on where you are starting, your category and how crowded it is. First movements usually show up somewhere between a few weeks and a few months, at the pace the models refresh their sources. That is why GEO is ongoing work rather than a one-time project: we measure before and after each cycle so you can see the real change.
If your customers look you up or compare options before deciding, yes. It works the same for an industrial supplier, a professional firm, a store or a service brand: what changes is the set of questions we track. The diagnostic shows you, with data from your own market, before you commit to anything.
That is the most common situation, and the most urgent one: every answer that leaves you out is business going elsewhere. The diagnostic shows exactly which questions your competitors are winning and what it takes to get into those answers.