Peec AI, a Berlin-based startup, develops an AI search platform designed for marketing teams to analyze and improve brand visibility in LLMs, hence LLM SEO. The company announced a total of €7 million in funding, secured within five months of its founding. This includes a €1.8 million pre-Seed round closed in April, followed by a €5.2 million Seed round less than four weeks later.
The Seed round was led by 20VC. Participating investors included Antler, Foreword VC, Identity.VC, Combination VC, and S20.
Peec AI was founded in 2025 by Marius Meiners, Tobias Siwona, and Daniel Drabo. The company's platform enables marketing teams to understand brand performance in AI search, benchmark against competitors, track mentions, and identify high-impact sources. These features support strategies for driving traffic and conversions from AI search platforms.
Since launching its product four months ago, Peec AI has reportedly generated €650,000 in annual recurring revenue (ARR), with weekly growth of €80,000.
The shift in consumer search behavior is influencing the market. A recent study indicated that 27% of consumers now use AI search platforms for at least half of their internet searches. Google reports 1.5 billion monthly users of AI search across 100 countries. This trend has transformed how consumers access information and interact with brands, making AI search a critical channel for marketing teams.
"Companies must adjust to a world where people use platforms like ChatGPT and Perplexity for search, as traditional Google searches decline. We aim to provide marketers with tools to succeed on these new platforms and drive growth,” commented Marius Meiners, Co-founder of Peec AI.
Direct competitors focused solely on Generative Engine Optimization (GEO), or LLM SEO, are still developing, and established SEO and marketing analytics platforms such as Semrush, Ahrefs, and BrightEdge are adapting their offerings to address the evolving landscape of AI-driven search and content visibility. These companies traditionally provide tools for keyword research, site audits, backlink analysis, and content optimization, and are now beginning to integrate features relevant to AI search.
