Berlin-based Peec AI, a startup that helps brands track and improve their visibility in AI-generated search results, has crossed $10 million in annualised recurring revenue (ARR), according to internal dashboard data seen and verified by TechCrunch. The milestone comes just six months after the company raised a $21 million Series A round at a valuation above $100 million, when it was running at just over $4 million ARR. Revenue has more than doubled in that period, and the pace of growth has accelerated significantly.
The product Peec AI offers occupies a category that barely existed 18 months ago: generative engine optimisation, or GEO. Where traditional SEO dashboards track a brand’s ranking on Google, Peec’s platform visualises whether a brand appears when users type a given set of prompts into ChatGPT, Claude, Gemini, Perplexity, or any other AI chatbot that is increasingly replacing the search bar. As consumers shift from clicking links to asking questions, the brands that show up in conversational AI responses capture attention that search engine results pages once monopolised. Peec gives marketers a dashboard to monitor, measure, and influence that visibility.
CEO Marius Meiners, a former professional esports athlete who once ranked among the top 100 League of Legends players globally, has built the company’s internal culture around competitive transparency. Peec’s revenue tracker is visible to all employees, a practice Meiners attributes to his background in competitive gaming: everyone on the team sees the score, in real time, at all times. This approach is part of a broader trend in European startups where founders are tracking revenue much more closely than in previous boom cycles.
Antler partner Christoph Klink, whose portfolio includes both Peec and vibe-coding platform Lovable, described Peec as one of the most successful investments in his fund. Speaking at an event in Berlin, Klink framed Peec’s trajectory as evidence of a structural shift in the European startup ecosystem. “Founders these days track revenue much more closely,” he said. After the 2021 valuation bubble and its painful correction, success in European venture is now defined by growth, not valuation. Revenue cannot be an afterthought, and startups that treat ARR as a live metric rather than a quarterly reporting exercise are outperforming those that do not.
Peec has taken an unusual approach to talent acquisition for a European startup. Like Bay Area companies but very few Berlin firms, it invested in physical billboards to recruit engineers and sell to prospects simultaneously. The billboards were, according to Klink, “more often than not strategically placed in front of other tech companies across the city.” The tactic is part of a broader positioning effort to make Peec feel like a company worth leaving a comfortable job for, a signalling strategy that matters particularly in the current AI cycle, where the window to build a category-defining product is narrow and the competition for engineers is intense.
The GEO category is growing in parallel with the shift in consumer behaviour it serves. Canva’s State of Marketing and AI Report, published this week, found that 97% of marketing leaders now use AI daily. Google’s own data shows that AI Overviews now appear on roughly 60% of US search queries, fundamentally changing which brands get seen and which disappear. For any company whose customer acquisition depends on being found online, the transition from SEO to GEO is not optional. Peec is building the measurement layer for that transition.
The competitive landscape includes HubSpot’s recently launched AI search analytics tools, Semrush’s GEO features, and a growing number of point solutions from startups in the US and Israel. Peec’s advantage, according to Meiners, is that it was built for GEO from the ground up rather than bolted onto an existing SEO platform. The company recently opened an office in New York to serve US enterprise clients, a move that reflects where the largest marketing budgets are and where the GEO adoption curve is steepest.
The revenue trajectory places Peec in a small cohort of European AI startups that are growing at a pace previously associated only with US companies. Lovable, also in Klink’s portfolio, added $100 million in revenue in a single month in March with just 146 employees. Mistral, the Paris-based foundation model company, reached $300 million ARR earlier this year. The pattern suggests that the gap between European and American AI startups, long defined by slower growth and smaller rounds, is narrowing for the companies that are building products in categories where demand is genuinely new rather than incremental.
Klink’s explanation for why companies like Peec and Lovable publicly disclose revenue milestones despite having no obligation to do so is simple: “That’s a way to show it’s working. It also shows a focus on growth that sets the culture.” In a market where investors have been burned by companies that optimised for valuation over substance, a $10 million ARR number verified by a journalist carries more weight than a press release about a funding round. As AI chatbots begin monetising through advertising, the question of who controls brand visibility inside those conversations will only become more commercially significant. Peec is betting that the answer is: whoever can measure it.
To understand the magnitude of Peec’s growth, it is essential to examine the broader shift in online search behaviour. For two decades, search engine optimisation has been the dominant digital marketing discipline. Companies invested heavily in keyword research, backlink building, and content creation to climb Google’s rankings. But the rise of large language models has upended that model. Users no longer need to scroll through a list of blue links; they can simply ask a chatbot for a direct answer. This shift has created an entirely new set of challenges for marketers. How do you ensure your product or service is mentioned by an AI when a user asks a relevant question? That is precisely the problem Peec solves.
The technology behind Peec’s platform is based on continuous monitoring of popular AI assistants. By running thousands of prompts daily, Peec tracks which brands are cited, in what context, and with what sentiment. The data is then presented in a dashboard that looks similar to traditional SEO tools but focuses on AI mentions rather than Google rankings. Marketers can see which queries drive the most visibility for their brand, identify gaps where competitors are mentioned but they are not, and experiment with changes to their website content or product descriptions to improve their AI footprint.
Meiners’ background as a professional esports athlete has strongly influenced Peec’s culture. In competitive gaming, players constantly monitor their performance metrics, learn from losses, and iterate rapidly. Meiners has applied the same mindset to building a startup. The revenue dashboard is public inside the company so that every employee from engineering to marketing can see how the business is performing in real time. This transparency creates a sense of shared ownership and urgency that is rare in most European startups, where financial data is often kept confidential.
The decision to use billboards for recruitment is another example of thinking differently. In Berlin, a city with a thriving tech scene but intense competition for engineering talent, standing out is critical. Peec’s billboards are not generic recruitment posters; they are designed to spark curiosity and signal that Peec is a fast-growing company with ambitious goals. The strategy has paid off. According to Klink, the billboards have not only helped attract top engineers but also serve as a marketing channel, generating awareness among potential clients who see them in transit or on their commute.
The GEO category itself is still in its infancy, but the numbers suggest explosive growth ahead. Google’s AI Overviews are now a standard feature in search results, and other platforms like Bing Chat and Perplexity are gaining users. As these tools become the primary way people find information, the brands that are not optimised for AI will effectively become invisible. This is a significant departure from the SEO era, where it was possible to achieve decent rankings with a moderate investment. GEO requires a different approach: content must be structured in a way that LLMs can easily parse, and brands must build authority and relevance in the eyes of the AI models, which often source their answers from websites, review platforms, and social media.
Peec’s early success has not gone unnoticed by investors. The $21 million Series A round was led by Antler, with participation from other prominent European venture capital firms. The valuation of over $100 million placed Peec in the unicorn club (on paper) within just a few years of founding. The rapid revenue growth has validated that valuation, and the company is now considered one of the brightest prospects in the European AI ecosystem.
Looking ahead, Peec plans to expand its product offering to include real-time optimisation recommendations and automated content adjustments. The New York office will focus on enterprise clients in industries like finance, healthcare, and e-commerce, where visibility in AI searches can directly impact revenue. The company is also exploring partnerships with AI model providers to integrate its measurement layer natively.
The story of Peec AI is emblematic of a larger transformation in how value is created in the digital economy. As artificial intelligence reshapes distribution channels, the ability to measure and influence that distribution becomes a critical competitive advantage. Peec has positioned itself at the centre of that transformation, and its revenue trajectory indicates that the market is responding. With a founder who treats growth as a game to be won, a product that addresses a genuine need, and a culture of radical transparency, Peec AI is on track to become a defining company of the generative AI era.