Daniel Drabo

Peec AI walks you through setting up a workspace with your brand name
and domain, then suggests prompts matched to real customer search
intent. Within a few minutes, your dashboard shows your first
AI visibility scores - a breakdown per engine so you see where your
brand already appears and where it doesn't.

Yes: you can filter your AI visiblity data by model, country, and prompt tags - each prompt can carry tags for the personas or funnel stage. This lets you compare performance across any segment, for instance US vs UK traffic, awareness vs purchase-intent prompts, or even a specific model like ChatGPT vs Gemini.

Peec AI executes each prompt once every 24 hours on every AI model you've
selected. This daily cadence gives you apples-to-apples trend data
across dates, models, and regions.

A brand mention happens when an AI answer directly names your brand.
A source citation happens when your website or content is used to
generate an answer - even if your brand isn't named. Tracking both
tells you if AI trusts your content as a source, and whether it recommends your brand.

Peec AI tracks both “used” (your content informed the AI’s answer) and “cited” (your URL is explicitly mentioned). You can view source usage at domain or URL levels - complete with citation frequency.

Peec AI allows you to integrate your BI stack through three channels: the Google Looker Studio connector for drag-and-drop dashboards, the REST API for custom data pipelines, or the Model Context Protocol (MCP) to feed visibility data directly into AI agents such as Claude. All three stream live visibility, source tracking, and multi-project metrics in real time.