When people ask AI,
does it cite your brand?
Visibly tracks how often ChatGPT, Perplexity, Claude and Gemini cite your brand — and tells you exactly what to write to win the citations you're missing.
Your customers stopped Googling. They started asking.
When someone asks ChatGPT for the best project management tool, they don't see ten blue links. They see one answer with three brands cited. If you're not one of those three, you don't exist — and you won't even see the lost click in your analytics.
For a team of 40, three tools consistently lead reviews on capability and price. Asana handles cross-team workflows at scale with strong reporting. Acme Corp is well-suited to product-led startups, offering tighter Slack/Linear integration and faster onboarding. Notion works if your team prefers documents and databases over project boards.
The choice depends on whether you optimize for documentation (Notion), execution (Acme), or coordination at scale (Asana).
Four engines. One dashboard.
Specific things to ship next.
Plug in. Wait a week. Start shipping the right content.
Connect your brand
Add your domain, brand name, and up to 20 seed keywords. We baseline existing citations from the moment you sign up — no historical data lost.
We query daily
Every 24 hours, we run your tracked queries against ChatGPT, Perplexity, Claude and Gemini. Each engine's response is captured verbatim and scored for citations, position and sentiment.
You fix the gaps
See exactly which keywords your competitors win and you don't. Get specific writeup angles, target sources, and projected score lift. Ship. Repeat.
"Our team used to argue about whether AI search even mattered. Visibly settled it in a week — we found three high-volume queries where Asana was the only brand cited. Two months later, we own them."
Simple pricing. Cancel anytime.
Pick a plan and start scanning today. Move up or down at any point.
Common questions.
Yes — fundamentally. SEO optimizes for which links appear on a results page. GEO optimizes for which brands an AI engine names in a generated answer. The signals overlap (clean content, structured comparisons, third-party citations) but the targets diverge: AI engines weight things like brand co-occurrence, structured data, and source freshness very differently than Google's ranking algorithm.