Customers Are Using AI For Answers. Your Brand Needs To Be There.
At WhaleClicks, we help brands show up where AI models like ChatGPT and Gemini find their answers. Our AI Search Visibility service (GEO) gets your brand quoted, referenced, and recommended inside AI-generated responses.
We start by analyzing how your brand currently appears (or doesn’t appear) inside AI-generated answers across platforms like ChatGPT and Gemini. This includes testing real user prompts in your category and identifying which of your competitors are being cited and why. By auditing your existing content for AI usability, we will identify gaps that can be improved to increase visibility in AI responses.
We create AI-native reference pages designed specifically for generative engines, not just traditional SEO. These pages focus on clear “What is…,” “How does…,” and “X vs Y” explanations, with explicit brand attribution that ties your name directly to the concepts being explained. These reference pages become the core assets AI models like ChatGPT and Gemini reuse when generating answers.
We build semantic content clusters that reinforce your authority. AI models don’t evaluate pages in isolation; they learn relationships between concepts. By connecting related definitions and comparisons, consistently aligning terminology, and strengthening entity signals, we ensure your brand is clearly associated with specific topics.
This helps AI models like ChatGPT and Gemini understand not just what you explain, but that your brand is a credible source across the entire topic space.
To increase recall and trust, we extend your AI reference language beyond your website by placing short, reusable excerpts of your definitions across neutral, high-trust environments such as knowledge hubs, GitHub READMEs, Notion pages, and relevant community and Q&A platforms.
When AI models encounter the same framing across multiple neutral contexts, they treat it as consensus, significantly increasing the likelihood your brand is reused in AI-generated answers.
Our AI Search Visibility is not a “set and forget” service. We continuously test and refine performance by running prompt tests across multiple AI models to track brand mentions and identify where attribution is missing.
Based on these insights, we update your content weekly to improve AI recall and consistency. This iterative process is what turns early visibility into sustained brand mentions over time.
AI Search Visibility focuses on getting your brand quoted and referenced inside AI-generated answers from tools like ChatGPT, Gemini, and Perplexity. Traditional SEO optimizes for rankings and traffic on search engines like Google. AI Search Visibility is about becoming the answer behind user queries in generative AI, which increasingly shapes how decisions are made. We target patterns, definitions, and entity signals that AI models favor.
Generative Engine Optimization (GEO) is strategic and iterative. While every project differs, most brands begin to see early signs of AI visibility (brand mentions and consistent phrasing reuse) within 4–8 weeks as reference content clusters and pattern reinforcement take hold. Full impact, including improved recall and inclusion in AI answers across topics, typically grows over 3–6 months as we refine content based on real AI model feedback.
AI Search Visibility doesn’t replace SEO or PPC; it extends their value. The content and entity alignment we build for GEO can also help with richer organic visibility, better topic authority and stronger landing page relevance.
In many cases, the reference content we create lifts both SEO performance and PPC conversions because the same clarity and structure benefits human searchers and AI alike.
We track measurable signals, not guesses. Success is evaluated through: Frequency of your brand mentions in AI responses, inclusion of your phrasing in paraphrased answers, retention of your brand in follow-up AI anwers.
These metrics show actual AI behavior, not just traffic or rankings, giving you a clear view of model adoption of your content.
To do this effectively, we need access to your CMS (e.g., WordPress, HubSpot), your analytics platform (GA4, server logs, etc.), and your existing content assets.
This allows us to audit, optimize, deploy new AI-native reference pages, measure signals, and make updates based on actual user behavior. We handle integration professionally and securely, respecting your permissions and data privacy. We can also give the new AI optimized content to your team for them to load it but we can do it all, from copy to banner and UI/UX design.
Yes. Our approach is model-agnostic and focuses on the patterns all AI models share, such as clear definitions, entity consistency, and reference language structure.
That means your content becomes usable by multiple AI systems, not just one. We also test across platforms and refine your content based on how each model responds over time.
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