GEO in Action: Getting a B2B Brand Cited by AI Search Engines
How a B2B brand went from invisible in AI answers to consistently cited across ChatGPT, Perplexity, Gemini and Google AI Overviews - with a Generative Engine Optimization (GEO) program built on answer-first content, structured data and earned authority. A real project, presented anonymously under a confidentiality agreement.
The client: strong in its niche, invisible in AI answers
A respected B2B brand, well ranked in traditional search and trusted in its category. But its buyers had started to research differently - asking AI assistants for recommendations and comparisons. In those answers the brand simply wasn't there, while competitors were being named. Being absent from the AI answer was quietly costing it the shortlist.
The challenge: buyers now ask AI, and AI didn't know the brand
The brand had zero presence in AI-generated answers. Its content was written for people but not structured for machine extraction, there was no schema markup and no llms.txt, and organic clicks were eroding as AI Overviews answered questions without a click. Worst of all, there was no way to even measure how visible - or invisible - the brand was across the different AI engines.
The solution: a Generative Engine Optimization (GEO) program
Evolsign ran a GEO program designed to make the brand the cited source, not just a blue link. It combined answer-first content, clear entity and topical authority, machine-readable structure, and earned mentions on the sources that AI models actually trust - with traditional SEO kept solid as the foundation.
What we did
We began with an AI-visibility audit, baselining how often the brand was cited across ChatGPT, Perplexity, Gemini and Google AI Overviews. We restructured the priority pages into an answer-first format - clear definitions, comparisons and FAQs that engines can lift verbatim. We added schema.org structured data and an llms.txt, and strengthened technical SEO: crawlability, server-side rendering, speed and explicit access for AI crawlers. Finally, we built authoritative brand mentions and citations across trusted third-party sources, and stood up a measurement loop that tracks citations per engine and per question.
How we approached it
We start from the real questions buyers ask, then make each page answer one of them cleanly. We give the machines the structure they need - schema, llms.txt and clean server-rendered HTML - and we earn authority where the models look. Then we measure weekly and iterate, treating AI visibility as a metric to be grown, not a one-off project.
Results and business benefits
The brand moved from absent to regularly cited across the target AI engines for its priority questions. Branded and high-intent queries grew, qualified traffic recovered even as zero-click answers rose, and sales conversations increasingly opened with “we found you through AI.” As search shifts from links to answers, the brand now holds defensible visibility where the decision starts. (Metrics shown illustratively, for confidentiality.)
Want your brand to be the answer in AI search?
This is a real project, presented anonymously to respect the confidentiality agreement with the client. If your buyers are starting to ask ChatGPT, Perplexity or Google AI Overviews, we build GEO and AEO programs that make your brand the cited answer - with content, structure and authority that compound over time. Let's talk about your visibility.
