Peec AI Unclaimed
Berlin, Berlin, Germany
Peec AI provides AI visibility analytics for marketing teams to understand and improve how brands are described and cited in AI-generated answers.
Peec AI is a private, venture-backed software company delivering AI visibility analytics for marketing teams. It tracks brand performance across AI search engines in real time, measuring how a brand is described, which sources influence AI-generated answers, and how to improve visibility and sentiment. The platform serves thousands of marketing teams, brands, and agencies with multi-engine tracking, insights into citations behind AI responses, and actionable guidance to optimize brand presence.
Peec AI is the marketing platform built for the age of AI search.
What we offer
Peec AI Platform
Optimize your brand's visibility and performance across AI search engines with Peec AI Platform.
peec.ai/ChatGPT Visibility Tracker
Optimize your brand's presence in ChatGPT with detailed visibility analytics and actionable insights.
peec.ai/chat-gpt-visibility-trackerAI Mode Visibility Tracker
Enhance brand visibility and performance across AI Mode with actionable insights and benchmarking.
peec.ai/ai-mode-visibility-trackerPeec MCP
Streamline AI visibility data access and reporting with Peec MCP's automated workflows.
peec.ai/mcpWho do we serve
Global Brand And Agency Leaders
Global brands and agencies seeking AI-driven visibility and grounding insights.
Retail And E-commerce Brand Teams
E-commerce retailers prioritizing AI shopping placements and SKU-level visibility.
Enterprise Marketing Teams And Agencies
Enterprises and agencies seeking scalable, auditable AI visibility with API access and client-ready reporting.
Market segments
Market size by segment
Growth potential (CAGR)
AI search analytics
Analytics for tracking keyword visibility, brand mentions, response and citation analysis, prompt-generation, and geo/language performance across AI-powered search engines with export and API integration.
AI shopping visibility
Visibility into how products surface in AI shopping and commerce conversations, including SKU-level placement, product attributes, merchant context, and competitive positioning.
AI citation monitoring
Capabilities that monitor how AI search engines and assistants cite and describe a brand, surface citation gaps and AI-perception signals, and provide alerts and analytics for marketing, product, and security teams.
Martech integration and automation
APIs, connectors and MCP workflows that embed AI visibility data into marketing workflows, automate weekly briefings and generate white-label reports for teams and agencies.
More information about our offering
Peec AI Platform
Peec AI Platform is the marketing platform built for AI search. It tracks brand visibility across major AI engines in real-time, surfaces the sources that shape AI answers, measures visibility and sentiment, and provides actionable guidance to improve positioning. The platform supports multi-user collaboration and integrates with MCP for automated workflows, enabling data-backed decisions at scale for marketing teams, brands, and agencies. AI Shopping Analytics is included, providing SKU-level insights into AI shopping placements.
- Increases VisibilityData-driven insights guide marketing teams in enhancing their brand presence across multiple AI search platforms.
- Tracks Brand PerformanceProvides comprehensive visibility into brand performance across key AI platforms, enabling performance comparison and strategic adjustments.
- Expand Monitoring Across EnginesStay ahead of competition and optimize presence by tracking your visibility across multiple AI shopping platforms.
- Automates WorkflowsStreamlines data processing and enables integration with other tools, enhancing operational efficiency.
- Maximizes AI PlacementAllows e-commerce brands to understand which products are favored by AI platforms, leading to optimized listings.
- Improve Placement RankingGet prioritized actions based on data-driven insights to enhance your product detail pages, helping you win more placements.
- Detailed Product InsightsAccess granular data for each SKU, enabling targeted strategies for improving performance.
- Understand AI RecommendationsGain insights into how AI systems choose products, allowing you to optimize accordingly for better visibility.
- Enhances Team CollaborationAllows marketing teams to work together seamlessly and scale their projects efficiently to achieve common goals.
- Informs Content StrategyEmpowers marketers to enhance their content strategy by understanding citation dynamics that impact brand visibility.
- Streamlined Catalog ConnectionsIntegrate your product catalog smoothly from various platforms, facilitating quick data updates and streamlined performance tracking.
- Measures Brand SentimentHelps teams understand public perception of their brand, allowing for informed reputation management.
- Access Historical ContextUnderstand recent performance patterns and shifts in visibility with a 30-day historical view.
ChatGPT Visibility Tracker
ChatGPT Visibility Tracker monitors how your brand appears in ChatGPT across prompts. It surfaces the underlying fanouts, analyzes brand mentions, and guides you with tailored recommendations to improve visibility within ChatGPT’s answers.
- Track Brand MentionsMonitor the frequency and context of brand mentions within ChatGPT outputs to assess recognition and visibility.
- Identify Source ImpactIdentify which external sources contribute to your brand visibility in ChatGPT and target them for citation.
- Benchmark Against CompetitorsEvaluate your performance against competitors to identify strengths and areas for improvement in AI visibility.
- Get Prioritized Action PlansReceive tailored recommendations for content and strategy adjustments to enhance visibility in ChatGPT results.
- Analyze Brand SentimentMeasure how ChatGPT portrays your brand, helping you understand public perception and adjust strategies accordingly.
- Score OpportunitiesIdentify high-potential opportunities for enhancing brand visibility based on AI metrics.
- Visualize Query PatternsUnderstand user behavior and query trends that lead to improved targeting and visibility.
AI Mode Visibility Tracker
AI Mode Visibility Tracker tracks brand visibility in Google’s AI Mode. It analyzes frequency, citations, sentiment, and competitive position, offering data-driven recommendations and cross-model benchmarking to improve visibility in AI Mode.
- Receive Tailored RecommendationsGet specific actions based on your visibility data to improve brand performance.
- Track Your Brand MentionsUnderstand the frequency of your brand's mentions in AI Mode results to assess visibility.
- Analyze Sentiment TrendsEvaluate how AI Mode portrays your brand sentimentally over time.
- Know Your Influencing SourcesDiscover which sources contribute to the narratives about your brand in AI responses.
- Benchmark Against CompetitorsSee how your brand's visibility compares to key competitors in AI Mode.
Peec MCP
Peec MCP (Model Context Protocol) enables AI agents to access Peec AI visibility data directly, wiring Peec data into client tools and workflows through connectors and an API, enabling repeatable, automated insights and client-ready reporting.
- Incorporate Peec Data Into Existing ProcessesLeverage the MCP API to seamlessly integrate Peec AI's insights into your workflows, enhancing automation and efficiency.
- Spot Declining Content PerformanceMonitor and address content declines effectively by identifying URLs with the steepest drop in visibility, enabling timely action.
- Integrate Peec AI With Client ToolsEasily wire Peec AI data into your preferred tools, facilitating real-time access to insights across multiple platforms.
- Create Custom-Branded Reports for ClientsEasily compile and present insights in client-ready reports, enhancing professionalism and engagement with your findings.
- Utilize Prebuilt WorkflowsLeverage designed workflows to efficiently analyze data, enhancing your marketing strategies with minimal setup time.
- Receive Automated Weekly UpdatesStay informed with consistent visibility briefs, summarizing your brand's performance and key shifts in the AI landscape.
- Conduct In-Depth Monthly ReviewsGain comprehensive insights into monthly performance trends, informing strategy adjustments based on evolving metrics.
References
Methodology and sourcing behind the figures shown above.
AI search analytics
Estimate based on market-data for GEO/AEO and AI search tooling within the supplied results. Passionfruit and AI Labs Audit report the AI search visibility/GEO market at roughly $0.85–0.89B (2024–2025), while broader AI search engine markets are ~USD 18–21B (2025) and generative-AI analytics forecasts show high double-digit CAGRs. I treat AI search analytics (visibility, citation tracking, AEO/GEO tools) as the niche corresponding to the GEO/AEO market and use the cited GEO CAGR (conservative growth potential ≈34% annually) as the growth estimate.
- The GEO market was valued at $848 million in 2025 and is projected to reach $33.7 billion by 2034.
- GEO market: $886M (2024) → $7.3 billion (2031), 34% CAGR.
- The AI search engine market was valued at USD 18.5 billion in 2025.
- Generative AI in analytics market size reached USD 1.20 billion in 2024 and projected USD 12.45 billion by 2034, CAGR 26.36%.
AI shopping visibility
Estimate based on Mordor Intelligence’s AI Search Visibility Services report (USD 4.39B market in 2026; projected USD 10.72B by 2031, 19.55% CAGR). Adoption signals from Yotpo (40% of search traffic via AI by 2027) and LinkedIn reporting (73% of consumers use AI in their shopping journey) corroborate strong near-term growth potential for AI shopping visibility services.
AI citation monitoring
No explicit market-size data for “AI citation monitoring” appears in the provided results. I used the supplied global AI market size and growth data as the basis and applied a conservative downstream share-to-niche approach. Global AI market estimates in the results range from roughly USD 294B (2025) to USD 900B (2026) with high multi-year CAGRs (≈18–27%). AI citation monitoring is a narrow MarTech/analytics niche (tools that track brand citations in AI answers). Assuming: (a) AI software and services create the addressable technology pool; (b) marketing-analytics/AEO use-cases capture a small single-digit share of AI software spend; and (c) monitoring & SaaS tooling for citations is an early-stage subsegment capturing a fraction of that share, a reasonable current market-size estimate is about USD 1.0 billion. Growth potential is strong given rapid AI-assistant adoption and rising AEO demand; I estimate a near-term CAGR around 25% as enterprises and MarTech vendors adopt specialized citation-tracking solutions.
Martech integration and automation
Triangulated from MarTech market totals and category shares in the provided search results. Sources show global MarTech market estimates (roughly USD 176B–661B, depending on publisher) and that Marketing Automation is ~30% of MarTech (~USD 56.7B in 2026 per PMR). Integration, APIs, connectors and workflow automation are a subset spanning integration services and portions of marketing-automation/platform spend. Using platform (73% share) and services (remaining share) data plus the explicit Marketing Automation value, the addressable segment for “Martech integration and automation” is estimated as a mid-single-digit to low-double-digit percentage of total MarTech (primarily services + automation platform integration). That yields an estimated market size ≈ USD 20B. Growth potential is set above overall MarTech CAGR (sources report ~11–14%); integration and automation demand from AI, cloud migration, and complexity justifies a slightly higher CAGR estimate of ~14%.
- Marketing Automation commands the largest share at over 30% in 2026, valued at more than US$ 56.7 Bn
- Software / Platforms dominate with over 73% market share in 2026, valued at more than US$ 138 Bn
- MarTech market is expected to reach USD 296.88 billion by 2030 from USD 175.95 billion in 2025, at a CAGR of 11.0%
- grow from USD 660.91 billion in 2026 to USD 1,270.82 billion by 2031, CAGR 13.95%
- MarTech market valued at USD 475.52 Billion in 2026, projected to USD 962.26 Billion by 2035, CAGR 8.15%
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