In 2026, local brand visibility doesn’t end with Google Maps. More and more often, a user asks a question in ChatGPT or Gemini, or gets a ready-made answer in AI Overviews - and only then clicks through to a specific business. That changes the rules of the game. In classic SEO, the main battle was for position. In GEO, what matters is whether your brand appears in generative answers as a credible recommendation [1][2][3].
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Geotargeting, also known as geographic targeting, is a marketing strategy that delivers content, ads, or offers based on the user’s physical location. This could be a city, neighborhood, postal code, region, or a radius around a specific business location.
Geolocation is the process of determining the geographic location of a user, device, or digital resource - using, for example, an IP address, GPS, Wi-Fi data, or network-based positioning. In the context of local SEO, it refers to a search engine’s or platform’s ability to tailor content and search results based on the user’s physical location or the business’s operating area.
Generative engine optimization (GEO) is a concept that redefines how we optimize content for AI-driven search engines. As generative AI becomes the leading source of answers online, traditional SEO evolves into a new framework—optimizing for generative engines.
We evaluated SEO agencies (listed under the business categories: SEO agency and marketing agency in their Google Business Profile) that did not appear as advertisements. Furthermore, these agencies needed to have an average rating of no less than 4.0 stars on Google, backed by a substantial number of reviews.
We evaluated SEO agencies (categorized as SEO agency and marketing agency in their Google Business Profile) that were not featured as advertisements. Moreover, they needed to have an average Google rating of no less than 4.0 stars, coupled with the maximum number of reviews.
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