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Peec AI Unclaimed

Marketing Analytics

peec.ai

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-tracker

AI Mode Visibility Tracker

Enhance brand visibility and performance across AI Mode with actionable insights and benchmarking.

peec.ai/ai-mode-visibility-tracker

Peec MCP

Streamline AI visibility data access and reporting with Peec MCP's automated workflows.

peec.ai/mcp

Who 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

0.85 Billion USD34% CAGR

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

4.39 Billion USD19.55% CAGR

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

1 Billion USD25% CAGR

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

20 Billion USD14% CAGR

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 Visibility
    Data-driven insights guide marketing teams in enhancing their brand presence across multiple AI search platforms.
  • Tracks Brand Performance
    Provides comprehensive visibility into brand performance across key AI platforms, enabling performance comparison and strategic adjustments.
  • Expand Monitoring Across Engines
    Stay ahead of competition and optimize presence by tracking your visibility across multiple AI shopping platforms.
  • Automates Workflows
    Streamlines data processing and enables integration with other tools, enhancing operational efficiency.
  • Maximizes AI Placement
    Allows e-commerce brands to understand which products are favored by AI platforms, leading to optimized listings.
  • Improve Placement Ranking
    Get prioritized actions based on data-driven insights to enhance your product detail pages, helping you win more placements.
  • Detailed Product Insights
    Access granular data for each SKU, enabling targeted strategies for improving performance.
  • Understand AI Recommendations
    Gain insights into how AI systems choose products, allowing you to optimize accordingly for better visibility.
  • Enhances Team Collaboration
    Allows marketing teams to work together seamlessly and scale their projects efficiently to achieve common goals.
  • Informs Content Strategy
    Empowers marketers to enhance their content strategy by understanding citation dynamics that impact brand visibility.
  • Streamlined Catalog Connections
    Integrate your product catalog smoothly from various platforms, facilitating quick data updates and streamlined performance tracking.
  • Measures Brand Sentiment
    Helps teams understand public perception of their brand, allowing for informed reputation management.
  • Access Historical Context
    Understand 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 Mentions
    Monitor the frequency and context of brand mentions within ChatGPT outputs to assess recognition and visibility.
  • Identify Source Impact
    Identify which external sources contribute to your brand visibility in ChatGPT and target them for citation.
  • Benchmark Against Competitors
    Evaluate your performance against competitors to identify strengths and areas for improvement in AI visibility.
  • Get Prioritized Action Plans
    Receive tailored recommendations for content and strategy adjustments to enhance visibility in ChatGPT results.
  • Analyze Brand Sentiment
    Measure how ChatGPT portrays your brand, helping you understand public perception and adjust strategies accordingly.
  • Score Opportunities
    Identify high-potential opportunities for enhancing brand visibility based on AI metrics.
  • Visualize Query Patterns
    Understand 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 Recommendations
    Get specific actions based on your visibility data to improve brand performance.
  • Track Your Brand Mentions
    Understand the frequency of your brand's mentions in AI Mode results to assess visibility.
  • Analyze Sentiment Trends
    Evaluate how AI Mode portrays your brand sentimentally over time.
  • Know Your Influencing Sources
    Discover which sources contribute to the narratives about your brand in AI responses.
  • Benchmark Against Competitors
    See 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 Processes
    Leverage the MCP API to seamlessly integrate Peec AI's insights into your workflows, enhancing automation and efficiency.
  • Spot Declining Content Performance
    Monitor and address content declines effectively by identifying URLs with the steepest drop in visibility, enabling timely action.
  • Integrate Peec AI With Client Tools
    Easily wire Peec AI data into your preferred tools, facilitating real-time access to insights across multiple platforms.
  • Create Custom-Branded Reports for Clients
    Easily compile and present insights in client-ready reports, enhancing professionalism and engagement with your findings.
  • Utilize Prebuilt Workflows
    Leverage designed workflows to efficiently analyze data, enhancing your marketing strategies with minimal setup time.
  • Receive Automated Weekly Updates
    Stay informed with consistent visibility briefs, summarizing your brand's performance and key shifts in the AI landscape.
  • Conduct In-Depth Monthly Reviews
    Gain 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.

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%.

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