About
Search is shifting.
We help brands stay visible.
Millions of product and brand queries are now answered directly by AI — no links clicked, no rankings consulted. LLMEyes measures where your brand stands in those answers, and what to do about it.
What is AI visibility — and why does it matter?
AI visibility is how often — and how prominently — your brand appears when AI systems like ChatGPT, Gemini, or Google's AI Overviews answer questions about your product category.
Think about how buying decisions used to work: someone Googles "best email marketing tool", scans ten blue links, and clicks through to compare. Your brand had a shot as long as you showed up on page one.
That's changing fast. When someone asks ChatGPT or Gemini the same question today, they get a direct answer — a short list of named brands, sometimes with reasoning. There's no page two. No list of links to scroll through. If you're not mentioned, the conversation ends without you.
AI engines now handle hundreds of millions of product queries every day. That number is growing. And unlike search rankings, AI answers aren't driven by your website's SEO — they're driven by how consistently your brand appears across trusted third-party sources: review sites, comparison articles, analyst coverage, and editorial mentions. On average, a brand's own website contributes less than 10% of its AI citations.
The brands establishing presence in AI answers now are building compounding advantages. AI models tend to reinforce the citation patterns they've learned — early movers get mentioned, which drives more mentions. Waiting to measure means playing catch-up against competitors who already have that foothold.
AI visibility can be measured, tracked, and improved. That's what LLMEyes is built for.
The problem we're solving
Most brands have no idea whether they appear in AI-generated answers. Traditional SEO tools measure search rankings, not AI visibility. The signals that drive AI citations are fundamentally different from those that drive Google rankings — and no existing tool was built to measure them.
We built LLMEyes to close that gap. Our scan engine queries live AI models with real consumer prompts and measures where your brand appears — mention rate, position, sentiment, and which sources each AI trusts when recommending your category.
The insight driving everything we build: AI citation behavior varies significantly by context, category, and platform. ChatGPT and Gemini have less than 30% citation overlap on the same query. What works in one engine doesn't automatically translate to another. You need measurement across all of them.
Measurement-first
Every metric we report — mention rate, position, sentiment, citation sources — comes from live queries to real AI engines. No proxies, no estimates.
Citation intelligence
We map which domains each AI engine trusts by category. Understanding the citation source layer is what separates GEO strategy from guesswork.
Research-backed
Built on original research into AI citation behavior — not borrowed benchmarks. We publish findings openly so the whole ecosystem benefits.
Multi-engine by default
ChatGPT and Gemini have less than 30% citation overlap on the same query. We scan both — and are adding Perplexity and Google AI Overviews — because your users are on all of them.
See where your brand stands
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