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Rankscale provides the essential measurement and observability layer for the AI agent ecosystem. As autonomous agents become the primary interface for web browsing and information retrieval, brands lose the direct feedback loop provided by traditional click-through rates. Rankscale allows companies to see how agents perceive, summarize, and cite their data.
By tracking visibility across 17+ platforms, the company is active in the "Discovery" and "Attribution" layers of the agent stack. They are effectively building the infrastructure for Generative Engine Optimization (GEO), helping ensure that as agents perform tasks or answer queries, they have access to accurate and authorized brand information. This is critical for anyone building agents that rely on real-time web data or for companies wanting to ensure their services are correctly represented to those agents.
For two decades, search engine optimization was a game of blue links and keywords. The industry focused on Google’s PageRank and the mechanics of appearing on the first page of results. As users shift toward chat interfaces and AI agents, the nature of visibility is changing. Rankscale is an analytics platform designed for this new environment. It tracks how brands appear in synthesized answers across 17 different AI engines.
Founded in early 2024 by Mathias Ptacek and Patrick Schmid, Rankscale is based in Königstetten, Austria. Ptacek, who is CEO, started the company to solve a specific measurement gap: understanding how Large Language Models (LLMs) use and cite brand content. The platform provides a dashboard that audits the structural and authority signals these engines use to verify information. This shift from simple ranking to "Answer Engine Optimization" (AEO) reflects a broader market move where the final output is a conversational response rather than a list of websites.
The software monitors a broad range of platforms, including ChatGPT, Perplexity, Claude, and Google Gemini. It also covers more specialized or region-specific models such as DeepSeek, Mistral, and Grok. Rankscale performs audits against 94 technical checkpoints. These checkpoints are designed to evaluate the likelihood that a brand's content will be selected by an AI as a primary source for a query.
One of the company's primary differentiators is its focus on intent-based prompt research. Instead of just tracking static keywords, the system analyzes how different prompt variations change the brand recommendations generated by the model. This allows marketing teams to see not just that they were mentioned, but the context of the mention—whether the AI is positioning them as a top-tier recommendation or an afterthought. The platform also offers global tracking across 240 countries and supports multiple languages, which is necessary for the enterprise clients they serve.
Rankscale has attracted a notable list of enterprise users, including Bosch, UBS, O2, and REWE. These organizations maintain large SEO and content teams that are now tasked with maintaining visibility in an era of zero-click searches. The company also works closely with major advertising agencies like Dentsu, Publicis Sapient, and WPP Media.
Behind the product is a team with deep experience in the agency and engineering world. CTO Sascha Rehbock brings two decades of experience in software engineering across automotive and finance sectors. Investor Lars Koppenhoefer, who co-managed a large digital agency for 25 years, provides a bridge to the B2B marketing world. This background is evident in the tool’s reporting features, which include integrations with Google Looker for high-level enterprise reporting.
While traditional SEO tools are adding AI tracking as a secondary feature, Rankscale is built on the premise that AI visibility is a distinct discipline. By focusing exclusively on the "answer engine," they provide a level of detail on model behavior that generalist SEO platforms typically lack. As agents become the primary way users interact with the web, the ability to measure and influence these systems becomes a core requirement for brand survival.
An analytics dashboard for tracking brand mentions and citations across generative AI engines.
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