Peec AI tracks how a brand appears inside answers from AI search platforms. It reports three core metrics: Visibility, the share of chats that mention your brand; Position, where the brand ranks inside those answers; and Sentiment, how the AI describes it. Teams enter their own prompts, group them with tags, track them across countries, add competitor brands, choose which AI models to monitor, and see which sources the answers cite. Results can be exported, sent to Looker Studio, or pulled through an API, and a Peec MCP server is available for use with other AI tools.
Marketing teams that already watch rankings in traditional search use Peec AI to see the same picture for AI answers. Brand managers get a clear read on how often they are named next to competitors. SEO specialists and content leads can see which pages and domains AI models cite, then decide what to publish or fix. Agencies can set up separate tracking for several clients and hand over reports. The product is aimed at people who report on brand performance to stakeholders, with more than 3000 brands and agencies listed as users.
A startup selling a CRM can track prompts such as the best CRMs for startups and compare its Visibility, Position and Sentiment against rivals month over month. An agency can build a client report from exported data and a Looker Studio dashboard. A content team can review the key sources behind AI answers and plan outreach or new articles around the gaps. A regional marketer can track the same prompts in several countries to see where the brand is strong or missing. Developers can feed the data into internal dashboards through the API or the MCP server.
