AI Visibility Rank checks how AI models rank your company when someone asks a buying question. You type a prompt such as who the top cybersecurity companies are, and it runs the question across leading models including Grok, Llama, Sonar, Nova Lite and DeepSeek, then shows where your brand lands against competitors, with company and domain analysis and an optional web search mode. It also surfaces the sources that models cite most often, plus trending companies listed by sector. The output is aimed at answer engine optimization, or AEO, meaning the work of showing up in AI-generated answers.
Marketing and SEO teams are the obvious users, particularly those who already track Google rankings and now need to know whether AI assistants recommend their brand. Founders at startups can run a check before investing in content, agencies can compare several clients against rivals, and market researchers can use the sector views to see which companies models tend to name. Product marketers and brand managers in fields like cybersecurity, fintech, healthcare, telecom and e-commerce will find the sector lists familiar. No technical background is needed, since the starting point is a plain-language question typed into a single box.
A common workflow is to enter a category question, read the ranked list and note which competitors outrank you. The cited sources then show which publications, directories and review sites the models trust, which tells a content team where to seek mentions. Teams can repeat the same prompt over time to see whether new articles or PR work moved the ranking. Others use it for competitive research before a pitch, for sizing up a market sector, or to check how a domain is described by models. An expert ranking mode and web search toggle let users compare answers with and without live search results.
