Peec AI provides marketing teams with analytics for AI-driven search platforms, tracking brand visibility, position, and sentiment across large language models. The platform lets users define and monitor prompts, compare performance by model, region, and source, and generate actionable insights to improve rankings. Data can be exported, integrated via API, or visualized in Looker Studio for reporting and workflow automation.
Funding
Funding not disclosed
Founders
Product
Problem
Brands lack comprehensive tools to understand and optimize their visibility within AI-powered search platforms and large language models (LLMs). This makes it difficult to track brand mentions, identify key sources, and benchmark performance against competitors in the evolving AI search landscape. The absence of dedicated analytics hinders effective marketing strategies tailored for AI-driven search results.
Solution
Peec AI provides a brand visibility analytics platform designed to track, analyze, and improve performance on AI search platforms. The platform enables users to monitor brand mentions across major LLMs like ChatGPT, Perplexity, Google Gemini, Claude AI, and Meta Llama. It offers real-time ranking tracking, competitor insights, and analysis of visibility trends over weekly, bi-weekly, and monthly periods. By identifying which AI platforms and sources drive brand visibility, Peec AI helps marketing teams tailor their strategies and optimize content for AI-driven search results.
Target Audience
The primary target audience includes marketing teams, agencies, and brands seeking to understand and improve their visibility within AI search results and large language model outputs.
Features
- Real-time ranking tracker to monitor AI search positions with live updates.
- Competitive analysis to compare visibility scores with industry rivals.
- Visibility trend tracking across weekly, bi-weekly, and monthly periods.
- AI platform impact analysis across ChatGPT, Perplexity, Claude AI, Google Gemini, and Meta Llama.
- Identification of top sources cited in AI responses, such as websites and social media platforms.
- Prompt-based analysis to assess brand performance for specific search queries.
- Brand mention tracking to monitor conversations and mentions across AI platforms.