Peec AI is an AI search analytics platform for marketing teams, whose core purpose is to help brands track, analyze, and improve their performance on AI search platforms.
[Purpose and Positioning] As AI platforms such as ChatGPT, Perplexity, and Gemini gradually become new search entry points, Peec AI helps marketing teams understand how AI views and presents their brand. The platform is positioned as "AI search analytics," enabling brands to monitor and optimize for AI search (GEO/LLMO) just as they would do traditional SEO.
[Main Capabilities]
- AI search metrics: Monitor a brand's share of chats in AI conversations, its ranking position in AI search results, and AI sentiment and perception toward the brand, identifying which areas are performing well and which need improvement.
- Prompt management: Support adding custom prompts, organizing prompts with tags, and using AI-suggested prompts and search volume data to focus on the directions with the greatest opportunity.
- Competitor benchmarking: View ranking comparisons between the brand and important competitors in the market.
- AI model and regional coverage: Track rankings across different AI models and support tracking by country.
- Citation source analysis: Identify the citation sources that affect brand visibility and help optimize GEO strategy. For example, discovering that G2 review sites, LinkedIn, Reddit discussions, NYT articles, etc. are often cited, thereby providing corresponding action recommendations.
- Strategy recommendations: Provide strategy recommendations (the example shows 5 strategy recommendations) to help capture high-impact opportunities and improve rankings.
- Reporting and export: Transform complex AI search data into shareable reports, support exporting .csv files; provide a community connector to pull data across projects and create client dashboards; automate reporting through the API.
- MCP and API integration: Peec MCP is now live, allowing Peec to be connected to tools such as Claude, Cursor, and n8n to build custom workflows.
[How to Use] Users can start a free trial through the official website (Start Free Trial). The basic process is: set up prompts, view AI visibility data, and take action based on citation sources and strategy recommendations. Example prompts shown on the page include "What core features should a CRM include?" "How do CRMs handle GDPR or HIPAA compliance?" etc., used to track brand performance under specific questions.
[Applicable Scenarios] Suitable for marketing teams, SEO teams, and agencies that need to monitor brand performance in AI search, as well as brands that want to optimize content strategy for LLMs. User feedback mentions that it can be used to identify the types of content emerging in specific LLMs, so as to prioritize adjustments to content strategy.
[Integrations and Recognition] Peec AI supports connection to tools such as Claude, Cursor, and n8n through MCP and API; it is officially stated to be used by more than 3,000 brands and agencies and is rated 4.7/5 on G2.
[Limitations] Information such as pricing, specific plans, and the complete list of specific AI models supported by the platform is not yet provided in the materials.
