Company
About AutoRank
AutoRank is built in Stockholm by a team working across engineering, product, and AI visibility. We are close enough to the problem to care about the details, and practical enough to turn those details into software. Today, AI visibility is often handled by SEO specialists with custom analysis; we are building a product that lets any team understand where they show up, where competitors appear instead, and what to do next.
Category
AI Visibility Optimisation
Investors
Sting Core, Propel
Customers
Volvo, Ludvig & Co, Scania
Built in
Stockholm
What AutoRank does
AutoRank measures brand visibility in AI-generated answers. Teams can monitor approved prompts, compare share of voice against competitors, inspect citation sources, and see which topics create or lose visibility over time.
The product is built around one loop: monitor AI visibility, approve useful content actions, and drive traffic from the places where customers now ask questions. The goal is not another dashboard; it is a clearer way to decide what content or positioning work should happen next.
Why this matters
Customers are increasingly asking AI assistants for recommendations, comparisons, category explanations, and buying advice. If a brand is missing from those answers, the customer may never reach its website, even if the brand performs well in traditional search.
AutoRank helps teams see that gap. It shows whether the brand is mentioned, which competitors appear instead, which sources shape the answer, and whether the company already has a page that can answer the prompt more directly.
How teams use it
Marketing and growth teams use AutoRank to track prompts that matter to their market, not generic keyword lists. A B2B company can see whether it appears in comparison prompts, buyer questions, industry lists, and problem-aware searches across AI models.
The same workflow supports established brands and category challengers. Customers such as Volvo, Ludvig & Co, and Scania use AI visibility data to understand how they are represented and where competitors, publishers, forums, or reference sources are shaping answers.
What we believe
AI visibility should be measured with context. A mention rate alone is not enough; teams need to know the prompt, topic, answer, source mix, competitors, and the page or content action most likely to improve the result.
AutoRank is built to keep that context close to the metric. The platform is intentionally focused on real prompts, monitored sources, and concrete next steps rather than abstract SEO language.