Our mission
AI has fundamentally changed how people discover brands. A growing share of buying decisions now start with a question in ChatGPT, Gemini, or Perplexity — not Google. Yet most brands are completely invisible in these conversations, and they don't even know it.
Citevis exists to close that gap. We built the first AI visibility platform that doesn't just tell you where you're missing — it tells you exactly what to fix on your website to show up. We call this the future of automatic brand marketing: not ads, not campaigns, but positioning your brand so AI recommends it naturally.
We believe every brand deserves to be seen in the platforms where their customers are searching. Citevis makes that possible, without a team of consultants or a six-figure budget.
Mousa has spent years studying how search engines and AI language models rank, retrieve, and recommend content. Long before AI chatbots became mainstream, he was deep in the mechanics of how information surfaces — and who gets seen.
That expertise became the foundation for Citevis. “I knew that when ChatGPT started answering questions, the same ranking signals that mattered in search would apply — but almost no one had the tools to measure or optimize for them,” he says. “Citevis is my answer to that problem.”
Citevis represents a new chapter in digital marketing: one where brands don't just optimize for keywords, but build the kind of authoritative, well-structured presence that AI models trust and cite. Mousa's vision is to make that kind of AI-native brand building accessible to every business.
Insight without action is useless
Knowing you're invisible in ChatGPT doesn't help you if no one tells you what to do about it. Every Citevis insight comes with a concrete next step.
Real data only
We scrape actual AI responses through live browser sessions — not estimates, not models, not simulations. What you see is what real users see.
AI visibility is a new marketing channel
AI chatbots are now a primary discovery channel. Brands that optimize for it today will have a compounding advantage that's nearly impossible to overcome later.
Transparency in how LLMs work
We demystify how language models rank and cite content — so your team understands the 'why' behind every recommendation, not just the what.
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