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Peec AI named fastest-growing AEO vendor by Ramp; expands North American footprint with New York office. Data from Ramp Rate reveals Peec AI quadrupled market adoption to 19% while accelerating ARR to $15M, with the second-highest adoption among enterprise companies (21%) and strong traction with growing marketing teams and agencies. Berlin, BERLIN, Oct. 13, 2026 (GLOBE NEWSWIRE) - Peec AI, a leading all-in-one AI search visibility platform for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), today announced it has been recognized as the fastest-growing vendor in the AEO category according to market spend data published by Ramp Rate. The company's market adoption rate grew from 4% in March 2025 to 19% in September 2026, driven by widespread adoption across enterprise organizations, mid-market businesses, growth marketing teams, and SEO agencies. During the same period, Peec AI accelerated its Annual Recurring Revenue (ARR) from $10M to $15M in just three months. "It's an honor to be recognized by Ramp Rate for our growth over this year. Ramp's data shows Peec AI is a top AEO vendor in enterprise adoption, with a 21% adoption rate among enterprise companies," stated Malte Landwehr, CPO and CMO of Peec AI. Peec AI ranks first in the AEO category in monthly adoption growth, at +0.84% per month. Peec AI also shows strong traction across mid-market (17%) and small-to-medium businesses (20%). Ramp Rate's dataset tracks corporate spend across more than 70,000 businesses. Enterprise-grade AI visibility, for teams of all sizes Throughout 2026, Peec AI expanded its platform with features built to enterprise standards, from brand perception analysis to log file integrations. Most features are available to teams of every size, whether they're on a self-serve plan or part of an enterprise deployment: * Comprehensive LLM ecosystem tracking: Monitors brand mentions at scale across major AI engines, with broad multi-model coverage of ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot, Gemini, Claude, Grok, Qwen, Deepseek, Mistral, Perplexity, and Meta Spark. * Brand perception and fact-checking: Analyzes AI answers to show how engines like ChatGPT, Gemini, AI Mode, and Claude describe a brand. Market, objections, and fact-checking diagnostics surface the attributes AI answers associate with a brand, identify the buying objections AI platforms repeat, and cross-reference AI-generated claims against company-supplied facts. * Actionable visibility KPIs: Peec AI provides granular reporting across core AI performance metrics, measured on every tracked AI answer, including visibility, sentiment, multi-model citation tracking, share of voice (SoV), and AI referrals. * Developer and agency integration: Provides programmatic API access to AI visibility data and a Model Context Protocol (MCP) integration for AI agent workflows like Claude Code, paired with customizable visualization tools like Power BI and Looker Studio. * Analytics and log file integrations: Peec AI integrates with Google Analytics and CDN log providers like Vercel, Cloudflare, AWS, and WordPress, connecting AI visibility to AI referral traffic and AI crawler activity. * Predictable scaling: Enterprise tiers include unlimited seats, SSO integration, multi-brand management, and multi-language tracking for international operations. On top of that, enterprise customers of Peec AI get a dedicated account manager and a named Customer Success Manager (CSM) alongside custom onboarding and prioritized support channels. Custom plans (starting around $499+/month) include direct phone support and named personnel to guide multi-market tracking architectures. Expanding footprint in North America Peec AI has opened a flagship U.S. office in New York City to support its expanding enterprise user base across North America. The hub will serve North American clients, agency partners, and strategic enterprise accounts. About Peec AI Peec AI helps marketing teams improve brand performance in AI search. More than 3,000 agencies and brands, including global enterprises, 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 in January 2025. Founded 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. About Ramp Rate Ramp Rate is a vendor directory powered by aggregated, anonymized data from Ramp's corporate card and bill pay platform, benchmarking corporate spend across billions of dollars and tens of thousands of businesses. Press Inquiries Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. 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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