Peec AI

Peec AI helps marketing teams analyze and improve brand performance on AI search platforms. Users set up prompts, add brands to benchmark against competitors, choose AI models to track, and view metrics including visibility (share of chats where a brand is mentioned), position (ranking within AI results), and sentiment (how AI perceives the brand). The page also describes source tracking of content used or cited in AI answers, filtering by model, country, and prompt tags, CSV exports, a Looker Studio connector, a REST API, and a Model Context Protocol (MCP) integration. According to the FAQ, each prompt is executed once every 24 hours on each selected model. The page lists tiers under Pricing but does not state prices in the supplied content.

Key features

• Visibility tracking showing how often a brand is mentioned in AI chats
• Position tracking of brand ranking within AI search results
• Sentiment analysis of how AI perceives a brand
• Prompt setup and organization with tags
• Competitor benchmarking by adding brands
• Model selection across AI platforms such as ChatGPT, Perplexity, and Gemini
• Source tracking of content used or cited in AI answers, at domain or URL level
• Filtering visibility data by model, country, and prompt tags
• Daily data refresh of each prompt on selected models
• CSV export of data
• Looker Studio connector for dashboards
• REST API for custom data pipelines
• Model Context Protocol (MCP) integration with tools such as Claude and Cursor
• Shareable reports for teams and clients

Best suited for

• Marketing teams tracking brand presence in AI search
• SEO and content strategists prioritizing content based on AI citations
• Agencies reporting AI visibility to clients
• Teams comparing brand performance against competitors in AI answers

Pricing

Not stated on the website