# Peec AI
*Also known as Peec*

- Website: https://peec.ai
- Location: Berlin, Berlin, Germany
- Agent profile: https://nowen.ai/agents/peec-ai
- Industry: Marketing Analytics

> 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.

**Mission:** Peec AI is the marketing platform built for the age of AI search.

## Products & Services

### [Peec AI Platform](https://peec.ai/)
*Platform*
Optimize your brand's visibility and performance across AI search engines with Peec AI Platform.

- **Actionable Recommendations** — Increases Visibility
- **Multi-engine Visibility Tracking** — Tracks Brand Performance
- **Cross-Engine Coverage** — Expand Monitoring Across Engines
- **MCP Integration and API Access** — Automates Workflows
- **AI Shopping Analytics** — Maximizes AI Placement
- **Actionable PDP Optimization** — Improve Placement Ranking
- **Per-Product Metrics** — Detailed Product Insights
- **SKU-Level Visibility Into AI Shopping** — Understand AI Recommendations
- **Collaboration and Scalability** — Enhances Team Collaboration
- **Sources and Citations Analysis** — Informs Content Strategy
- **Catalog Integration Options** — Streamlined Catalog Connections
- **Sentiment and Position Analytics** — Measures Brand Sentiment
- **Backfill History** — Access Historical Context

### [ChatGPT Visibility Tracker](https://peec.ai/chat-gpt-visibility-tracker)
*Product*
Optimize your brand's presence in ChatGPT with detailed visibility analytics and actionable insights.

- **Brand Mention Frequency** — Track Brand Mentions
- **Citation Intelligence** — Identify Source Impact
- **Competitive Benchmarking** — Benchmark Against Competitors
- **Data-to-Action Recommendations** — Get Prioritized Action Plans
- **Sentiment Analysis** — Analyze Brand Sentiment
- **Opportunity Scoring** — Score Opportunities
- **Query Fanouts** — Visualize Query Patterns

### [AI Mode Visibility Tracker](https://peec.ai/ai-mode-visibility-tracker)
*Product*
Enhance brand visibility and performance across AI Mode with actionable insights and benchmarking.

- **Actions and Recommendations** — Receive Tailored Recommendations
- **Brand Mention Frequency in AI Mode** — Track Your Brand Mentions
- **Sentiment Analysis** — Analyze Sentiment Trends
- **Citation Intelligence** — Know Your Influencing Sources
- **Competitive Benchmarking** — Benchmark Against Competitors

### [Peec MCP](https://peec.ai/mcp)
*Product*
Streamline AI visibility data access and reporting with Peec MCP's automated workflows.

- **API Access for Automation** — Incorporate Peec Data Into Existing Processes
- **Find Pages Losing Visibility** — Spot Declining Content Performance
- **Connectors and Integration** — Integrate Peec AI With Client Tools
- **White-label Client Reports** — Create Custom-Branded Reports for Clients
- **Use-case Workflows** — Utilize Prebuilt Workflows
- **Weekly AI Visibility Briefing** — Receive Automated Weekly Updates
- **Monthly Visibility Analysis** — Conduct In-Depth Monthly Reviews

## Market Segments

- **AI search analytics** (market size $850M, CAGR 34%): 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** (market size $4.4B, CAGR 19.55%): 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** (market size $1.0B, CAGR 25%): 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** (market size $20.0B, CAGR 14%): 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.

## Who do we serve

### Global Brand And Agency Leaders
Global brands and agencies seeking AI-driven visibility and grounding insights.
- Industries: Advertising, Marketing Agencies, Brand
- Geography: Global with emphasis on North America and Europe
- Pain points: Difficulty tracking AI-driven brand mentions across multiple engines; unclear grounding sources; slow, manual insights
- Business goals: Increase AI-driven brand visibility; improve sentiment accuracy; optimize AI-generated descriptions
- Positioning: Global brands and agencies gain real-time visibility into AI-generated brand mentions across multiple engines, with grounding-source insights and actionable recommendations to improve sentiment and positioning.

#### Persona: Brand Manager
- Needs: Real-time visibility, credible grounding sources, actionable recommendations
- Goals: Improve brand visibility and sentiment in AI outputs
- Challenges: Limited bandwidth to monitor multiple engines
- Pain points: Inconsistent citations; slow insights; manual reporting
- Solution: Provide real-time visibility across AI engines, citations, and prompts to optimize brand presence.

#### Persona: Head Of Brand Analytics
- Needs: Benchmarking, cross-engine comparisons, data stack integration
- Goals: Achieve consistent branding across AI outputs; improve sentiment
- Challenges: Siloed data, data reconciliation across engines
- Pain points: Unclear attribution; manual dashboards
- Solution: Leverage multi-engine visibility, sentiment analytics, and MCP integration to unify insights.

#### Persona: Digital Creative Manager
- Needs: Grounding sources, prompts for better AI responses, timely recommendations
- Goals: Improve brand mentions and citations in AI outputs
- Challenges: Time pressure to optimize prompts; limited data to guide creative decisions
- Pain points: Inaccurate brand mentions; uncertain sources
- Solution: Use AI Mode and ChatGPT Visibility Tracker for prompts and citation intelligence

### Retail And E-commerce Brand Teams
E-commerce retailers prioritizing AI shopping placements and SKU-level visibility.
- Industries: Retail, E-commerce, Consumer Goods
- Geography: Global with emphasis on North America and Europe
- Pain points: Lack of SKU-level visibility in AI results; difficulty optimizing product listings in AI shopping results; data quality and catalog synchronization challenges
- Business goals: Maximize AI-driven visibility and placements; improve AI-driven conversions; optimize product data for AI shopping
- Positioning: Retail teams can optimize AI shopping visibility with SKU-level insights, actionable recommendations, and seamless catalog integration across major AI engines.

#### Persona: E-commerce Merchandiser
- Needs: SKU-level visibility, reliable data feeds, prompts for optimization
- Goals: Improve AI shopping placements and conversions
- Challenges: Managing large catalogs; data quality issues
- Pain points: Outdated product data; limited visibility into AI placements
- Solution: Leverage SKU-level visibility and AI Shopping Analytics to optimize listings and placements

#### Persona: Catalog Manager
- Needs: Catalog integration options, data quality checks
- Goals: Keep catalogs accurate and optimized for AI shopping
- Challenges: Data synchronization delays; attribute inconsistencies
- Pain points: Mismatched data across storefronts and AI results
- Solution: Catalog integration options and per-product metrics within Peec Platform

#### Persona: Growth Marketing Manager
- Needs: Cross-engine visibility, Shopify and data integrations
- Goals: Maximize ROI from AI-driven shopping visibility
- Challenges: Fragmented data, slow iteration
- Pain points: Time-consuming optimization and reporting
- Solution: Peec Platform's multi-engine visibility and SKU analytics

### Enterprise Marketing Teams And Agencies
Enterprises and agencies seeking scalable, auditable AI visibility with API access and client-ready reporting.
- Industries: Marketing Technology Firms, B2B SaaS, Enterprise Software
- Geography: Global
- Pain points: Managing brand visibility across multiple engines at scale; heavy manual reporting; integration with client workflows
- Business goals: Scale marketing operations; deliver client-ready insights; automate visibility reporting
- Positioning: Organizations can achieve scalable, auditable AI visibility with automation, API access, and client-ready reporting across engines.

#### Persona: Chief Marketing Officer
- Needs: High-level visibility across engines, governance
- Goals: Align marketing strategy with AI visibility outcomes
- Challenges: Security, governance, cross-team coordination
- Pain points: Overwhelming data, complex client reporting
- Solution: Peec Platform and MCP provide automated reporting and API access for governance

#### Persona: Marketing Operations Director
- Needs: Automated reporting, MCP workflows
- Goals: Streamline internal processes and client reporting
- Challenges: Manual tasks; data quality inconsistencies
- Pain points: Time spent building reports
- Solution: MCP workflows, weekly AI visibility briefing, white-label reports

#### Persona: Agency Account Director
- Needs: White-label reports, connectors
- Goals: Deliver client-ready insights
- Challenges: Branding and timeline constraints
- Pain points: Reporting overhead
- Solution: White-label client reports and MCP connectors

#### Persona: Platform Engineer
- Needs: API access, connectors to MCP, data pipelines
- Goals: Ensure reliable data flows and integration
- Challenges: Developer resource constraints
- Pain points: APIs lacking or not robust
- Solution: Peec MCP API and connectors