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Peec AI is an analytics platform based in Berlin that focuses on Generative Engine Optimization (GEO). It helps marketing and SEO teams measure and improve brand visibility inside AI answer engines such as ChatGPT, Perplexity, Claude, and Gemini. The product works by tracking visibility, position, and sentiment through UI scraping that simulates real user interactions with AI systems. Customers include Wix, HomeToGo, and Glide. The company has raised multiple rounds, including a €1.8 million seed in May 2025, a €5.2 million seed extension in July 2025, and an €18 million Series A in November 2025, bringing disclosed equity funding to about €25 million. Its goal is to give brands actionable data to optimize their presence and reputation within AI-powered answers and keep pace with how AI engines surface information.
Company Size
51-200
Company Stage
Series A
Total Funding
$27.5M
Headquarters
Berlin, Germany
Founded
2025
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Peec AI has launched brand perception, a tool that shows companies how AI models describe and characterise their brands. The Berlin-based platform analyses which attributes AI models associate with brands, how they compare with competitors, and where claims conflict with company-supplied facts. The tool works across major AI platforms including ChatGPT, Google Gemini, Perplexity, Copilot, and Claude. It features three views: Market, which shows brand attributes and competitive rankings; Objections, which surfaces arguments AI models make against a brand; and Fact-checking, which compares AI-generated claims with company-registered information. Brand perception is available on all Peec AI plans. The company, founded in January 2025, has raised $40 million from investors including Singular, Antler, and Combination VC, and has surpassed $15 million in annual recurring revenue.
Peec AI launches brand perception to show companies how AI models describe, compare, and characterize their brands. Market, objections, and fact-checking reveal the attributes AI associates with a brand, the arguments it raises, and where AI-generated claims conflict with company-supplied facts. September 17, 2026 16:47 ET | Source: Peec AI Berlin, Germany, Sept. 17, 2026 (GLOBE NEWSWIRE) - Peec AI, a platform that helps marketing teams improve brand performance in AI search, today announced brand perception, a new set of views that helps companies understand how AI models describe their brand. Brand perception shows which attributes models associate with a company, how those associations compare with competitors, which objections recur in AI answers, and where claims in AI answers conflict with facts supplied by the company. Marketing teams have become used to asking whether their brand appears in AI answers. Brand perception addresses the next question: what is AI saying about their brand? An AI answer does more than point a buyer toward information. It interprets that information and describes the companies it recommends along the way. Those descriptions shape how buyers understand a brand before they ever reach its website. "AI is increasingly shaping how customers discover and understand brands. It determines which brands appear in an answer, how they're described, where they're seen as strong, and why they might be recommended - or not," said Marius Meiners, CEO and co-founder of Peec AI. "Marketing and communications teams need to see that narrative as clearly as they see a search ranking or a campaign report. Brand perception gives them a way to understand what AI is saying, trace where it comes from, and decide what to do about it." Where visibility tracking stops Traditional AI visibility tracking starts with the prompts a company chooses to monitor. Brand perception goes further: its Market and Objections views run their own question sets, so companies can surface attributes and arguments they did not already know to track. Within Market, Peec AI puts two questions to the models about every attribute. The first asks what a company is known for and produces an association score from 0 to 100. The second asks which companies in the market are known for that same quality and produces a market prominence score, also from 0 to 100. Read together, the scores separate a brand's own strengths and weaknesses from its standing in the category. A company can be described as "fast" in almost every answer while a competitor holds a far stronger association with speed across the wider market. A single score cannot show that difference. The result is a broader basis for action than visibility alone. Marketing teams can see which qualities are worth investing in, which arguments need answering, and which sources are shaping both. Three views * Market. Shows the attributes AI models associate with a brand, its association and market prominence scores, its rank against competitors, and the underlying language used in the source answers. * Objections. Surfaces the arguments AI models make against a brand when a buyer is weighing options. Peec AI groups semantically similar answers, so teams see the recurring objection instead of several versions of the same point. * Fact-checking. Extracts specific claims made about a brand and compares them with facts the company registers in Peec AI. Claims are marked as contradicted, supported, inconclusive, or not covered. Each claim is connected to a specific chat, with the originating prompt, model, and cited pages attached. Each view also shows the pages retrieved by the model and classifies them by source type. That turns a perception gap into something teams can investigate: editorial coverage shaping an attribute, a reference page carrying an outdated claim, or a community discussion influencing how the brand is described. What brand perception measures * Coverage across major AI platforms. ChatGPT, Google Gemini, Google AI Mode, Google AI Overviews, Perplexity, Copilot, and Claude. Scores are averaged across the models a company tracks, and every view filters to a single model, because a brand is often described differently in one than in another. * The language models use. Alongside the grouped attributes, Peec AI shows the exact terms that appeared in AI answers, how often each came up, which attribute it was grouped into, and which models used it. * Source attribution on every finding. Each attribute, objection, and claim carries the pages the model retrieved, with occurrences, retrievals, citation rate, and a classification of both the URL and the domain. A separate field shows whether the brand appears in the content of the page at all. * The company's own facts as the reference point. Companies register facts such as pricing, integrations, availability, and market coverage in Peec AI. Brand perception extracts claims from tracked AI answers and compares them with those company-supplied facts, identifying where the model's claim is supported, contradicted, inconclusive, or not covered. Availability Brand perception is available on every Peec AI plan, with fact and prompt coverage scaling by tier. Objections is available on Pro plans and above. Peec AI offers a seven-day free trial. About Peec AI Peec AI helps marketing teams improve brand performance in AI search. More than 3,000 brands and agencies rely on Peec AI to understand where they stand, what shapes how they appear and get recommended, and where to act. The company combines original research with rigorous measurement of the markets, models, sources, competitors, and websites behind AI answers - helping teams separate meaningful signals from noise and make better-informed decisions about what to do next. Peec AI is one of Europe's fastest-growing AI software companies, surpassing $15M in ARR since launching at the end of 2025. Founded in January 2025 by Marius Meiners, Daniel Drabo, and Tobias Siwonia, Peec AI has raised $40M from investors including Singular, Antler, Combination VC, identity.vc, and S20. Learn more at peec.ai. Press Inquiries
"Next year we are a unicorn": Peec AI founder on 100 million revenue, rapid growth and socks in the office. 16:07, 28 Aug. 2026 Peec AI has raised millions of euros at turbo speed and hired 100 employees. We visited CEO Marius Meiners at the new headquarters at the Berlin TV Tower.
Peec AI Adds Mistral Coverage, Now tracking 10+ LLMs across the US, China, and Europe. Jul. 30, 2026, 12:29 PM Berlin, BERLIN, July 30, 2026 (GLOBE NEWSWIRE) - Peec AI, an AI visibility tracking platform, today announced it has added support for Mistral, the European AI leader, bringing its total coverage to more than 10 large language models. The expansion makes Peec AI one of the few monitoring platforms that tracks how brands appear across models from all three major AI regions - the United States, China, and Europe. Peec AI Adds Mistral Coverage - Now Tracks Brand Visibility Across 10+ LLMs in the US, China, and Europe Marketing teams and agencies using Peec AI can now measure their brand's Share of Voice in generative search engines, brand mention frequency, sentiment, and cited sources inside Mistral's models (Mistral Small and Mistral Medium), alongside the Peec AI existing coverage of ChatGPT, Google AI Mode, Google AI Overviews, Gemini, Perplexity, Microsoft Copilot, Claude Sonnet 4, GPT-5 Search, DeepSeek, and Qwen. The platform tracks Share of Voice for every prompt across LLMs, so teams see not just whether their brand appears, but which specific questions trigger a recommendation - and which brands are mentioned. "AI Search used to be dominated by ChatGPT and Perplexity. Nowadays the landscape is more fragmented", said Malte Landwehr, Chief Product & Marketing Officer of Peec AI. "With Mistral our clients can not just see where they stand in US- and China-centric LLMs but how visible they are in the leading European LLM." Attribution and benchmarking across the full AI landscape The addition of Mistral closes a critical gap in multi-region AI search monitoring. European brands, regulators, and enterprise buyers increasingly rely on Mistral's models for AI-powered search and recommendation - making visibility there a growing priority for companies competing in the European market. Peec AI surfaces not only where a brand ranks, but why an LLM chose a competitor - using attribution tracking that identifies which content pages models cited and which signals drove the decision. Teams can run real-time AI visibility benchmarking across models, compare competitor Share of Voice side by side, and audit RAG impact - isolating whether a response came from retrieved content or the model's static weights. With more than 10 models tracked daily through both native UIs and APIs, Peec AI offers LLM coverage that spans: * United States - ChatGPT, Google AI Mode, Google AI Overviews, Gemini, Perplexity, Microsoft Copilot, Claude * China - DeepSeek, Qwen * Europe - Mistral About Peec AI Peec AI is an AI search analytics platform that helps marketing teams and agencies monitor, benchmark, and improve how their brands appear across AI answer engines. With comprehensive coverage of 10+ LLM platforms - including ChatGPT, Perplexity, Gemini, Google AI Overviews and AI Mode, Claude, DeepSeek, Qwen, and Mistral - Peec AI provides Generative Share of Voice tracking, citation attribution, RAG impact auditing, competitor benchmarking, and prioritized recommendations that show teams exactly what to change to earn more AI citations. Founded in January 2025 by Marius Meiners, Daniel Drabo, and Tobias Siwonia, Peec AI is backed by Singular, 20VC, and Antler. Learn more at peec.ai Press Inquiries Markets Insider and Business Insider Editorial Teams were not involved in the creation of this post. Sponsored Financial Content
Promptwatch raises €6m seed to rival Peec in AI search. Key takeaways. Promptwatch Explainer Series - 3 step guide to AI Search Optimization * Promptwatch raised €6m seed led by Seed + Speed Ventures to expand into New York * The startup reached €2m ARR in May 2026, just 12 months after launch * CEO says companies must publish fresh content constantly to rank in AI chatbots Promptwatch, an Amsterdam startup helping companies appear in AI chatbot responses, has raised a €6m seed round led by Seed + Speed Ventures. The company claims nearly 2,000 users, including Duolingo and Fireflies, and says it reached €2m in annual recurring revenue by May 2026, one year after launch. Blum Ventures and Arches Capital also participated in the round. The funding will support Promptwatch's expansion into New York, where it recently opened an office. What does Promptwatch actually do? The company operates in a nascent field called generative engine optimization, or GEO. Where traditional SEO focused on ranking in Google results, GEO aims to get brands mentioned when users ask ChatGPT, Claude, or other AI assistants for recommendations. "The chatbots all pull from different places, whether that's Reddit or YouTube, so your company needs to show up in multiple places now," said cofounder and CEO Gijs de Groot. Promptwatch's team of 17 tracks how brands perform across various chatbots and creates content designed to be picked up by AI systems. De Groot says this content creation piece differentiates Promptwatch from Berlin-based Peec, which he identifies as the main European competitor. Why marketers are worried about AI search. The problem for brands is opacity. With Google, companies could track keywords, analyze click-through rates, and see exactly which pages drove traffic. AI chatbots offer no such visibility. They reference brands, compare providers, and cite sources without explaining why certain information appears. De Groot argues that Google rankings matter less than they did a few years ago. Still, he acknowledges the irony that some of Promptwatch's post-raise marketing budget will go toward improving its own Google visibility. Old habits die hard, even for companies selling the new paradigm. His main advice for companies wanting better AI chatbot visibility: publish more, and publish often. "It used to be that you could write one good blog post and it would keep showing up on Google for years. Now, content has a much shorter shelf life." A crowded global market. De Groot estimates there are around 10 serious competitors globally in AI search optimization. The European market, he says, is primarily a two-horse race between Promptwatch and Peec. The broader category of "AI visibility experts" has emerged rapidly as marketers try to understand how LLMs decide what to surface. Some consultants focus on auditing existing content. Others, like Promptwatch, combine analytics with content production. The €6m seed is a solid raise for a category that barely existed two years ago. Reaching €2m ARR in 12 months suggests real demand, particularly among tech companies already comfortable with AI tools. Logicity's take. Promptwatch's traction is real, but founders should approach GEO with clear eyes. The field is young, and no one fully understands how LLMs decide which brands to mention. That said, the underlying logic is sound: if AI assistants pull from Reddit, YouTube, and blog posts, having a presence across those channels increases your odds. For early-stage startups, the practical move is likely content diversification before paying for specialized tools. For companies with marketing budgets, tracking AI mentions through tools like Promptwatch or Peec could surface blind spots traditional SEO dashboards miss. Pricing for both remains undisclosed, so request demos before committing. What this means for content strategy. De Groot's advice, to publish more and fresher content, has implications for how companies allocate resources. The old model rewarded depth: one comprehensive guide that ranked for years. The new model rewards velocity and distribution across platforms. This shift creates tension. Quality content takes time. Publishing across Reddit, YouTube, and blogs simultaneously requires either a larger team or lower standards per piece. Most startups will need to pick their battles. The other tension: AI search optimization is optimizing for a black box. Google's algorithm was opaque, but at least SEO professionals could test hypotheses and measure results. With LLMs, the feedback loop is murkier. A brand might appear in one ChatGPT session and vanish in the next. Frequently asked questions. What is generative engine optimization (GEO)? GEO is the practice of optimizing content to appear in AI chatbot responses, like ChatGPT or Claude, rather than traditional search engine results. How is Promptwatch different from Peec? According to Promptwatch's CEO, the main difference is that Promptwatch also creates chatbot-friendly content for customers, while Peec focuses primarily on analytics and tracking. How can companies improve visibility in AI chatbots? Promptwatch's CEO recommends publishing fresh content frequently and maintaining presence across multiple platforms that LLMs draw from, including Reddit, YouTube, and blogs. What ARR did Promptwatch reach? Promptwatch claims it reached €2m in annual recurring revenue by May 2026, 12 months after launching. Need help implementing this? If you're exploring AI search optimization for your startup, start by auditing where your brand currently appears across Reddit, YouTube, and review sites. Track a few test queries in ChatGPT and Claude to establish a baseline before investing in specialized tools. Huma Shazia Senior AI & Tech Writer Produced with AI assistance and reviewed by the Logicity editorial team. Learn more in its Editorial Policy.