What is GEO?
GEO stands for Generative Engine Optimization. It means improving how your company appears in AI-generated answers from tools like ChatGPT, Perplexity, Claude, and Google AI Overviews. SEO helps you rank in traditional search results. GEO helps AI systems understand your company, connect you to the right topics, and mention or recommend you when buyers ask relevant questions.
How is GEO different from SEO?
SEO is focused on traditional search engines: rankings, keywords, pages, backlinks, technical structure, and organic traffic. GEO is focused on generative AI systems: how your company is understood, summarized, cited, compared, and recommended inside AI answers. They share the same foundation: strong content, clear structure, authority, relevance, and technical quality. The difference is how visibility is measured and how content needs to be structured for AI systems to use it.
Do we still need SEO if we invest in GEO?
Yes. GEO does not replace SEO. It builds on it. Most AI systems still rely on public web content, trusted sources, structured information, and signals that overlap with SEO. If your website is weak, unclear, or poorly structured, it becomes harder for both search engines and AI models to understand and recommend your company. The best approach is to improve SEO and GEO together.
How do you measure AI visibility?
We track a set of relevant prompts for your category across AI tools such as ChatGPT, Perplexity, Claude, and Google AI Overviews. We measure whether your company appears, how often it appears, how it is described, which competitors appear next to you, and which sources are used to support the answer. This gives you a visibility score by model, tracked over time, with competitor comparison and clear reporting for your team.
Can you guarantee that ChatGPT or Perplexity will mention us?
No serious partner should guarantee that. AI systems change often, and their answers depend on many signals outside one company's control. What we can do is improve the inputs that make your company more likely to be found, understood, cited, and recommended: content quality, structure, authority, clarity, coverage, and consistency across relevant surfaces.
How long does it take to see results?
You can usually get useful visibility data and first signals within 30–60 days. More meaningful results often take longer, especially for SEO, GEO, content, and authority-building. That is why our work is structured over a minimum 6-month period. The initial analysis gives you a realistic roadmap, so you know what can improve quickly and what needs more time.
What is BrandScan and how does it fit in?
BrandScan is our AI visibility monitoring platform. It tracks how your company appears across AI search surfaces such as ChatGPT, Perplexity, Claude, and Google AI Overviews. Inside BrandSignal, BrandScan powers the AI Visibility Tracking module. You use it to see your AI visibility score, monitor prompts, compare against competitors, and track progress over time.
What is included in the initial analysis?
The initial analysis gives you a clear picture of where you stand and what should be done first. It usually includes a technical SEO review, GEO scan, AI visibility baseline, competitor map, content review, landing page review, and marketing automation opportunity scan. The output is a written diagnosis with priorities, recommended actions, and a roadmap for the first months of work.
Can you work with our current agency?
Yes. BrandSignal can work alongside your current SEO agency, content agency, performance agency, or internal marketing team. At the start, we define who owns what, so the work is clear and there are no overlaps or gaps. In many cases, we add the AI visibility, GEO, competitor intelligence, content systems, landing pages, and automation layer on top of what already exists.
How is this different from an AI marketing agency?
Most AI marketing agencies focus on tools, experiments, or content production. BrandSignal connects the full system: SEO, GEO, AI visibility, competitor monitoring, content production, landing pages, knowledge hubs, and marketing automations. The value is not one isolated AI use case. The value is helping your marketing team adapt its operating system to how buyers now search, compare, and decide.