Command
Build our Peec AI tracking strategy. Inspect our current Peec project state, pull demand signals from connected data sources (analytics, Search Console, SEO tools), and recommend a defensible set of brands, topics, tags, and prompts to track — sized to our plan credits and split by branded vs non-branded. After my sign-off, write the changes directly to Peec, analyse the results once the data settles, and iterate until the strategy stabilises. Then produce a stakeholder presentation that explains what we track and why.
What this use case can do for you
AI visibility tracking is a new category, and the measurement apparatus matters as much as the strategic decisions it informs. A prompt set that mirrors the business and a tag taxonomy that survives review beats a generic starter pack every time, and it survives the inevitable conversation with stakeholders who want to see the reasoning.
This runs the full strategy build: a layered intake across Peec, connected analytics and Search Console data, and the open web; a prescriptive prompt portfolio split by branded versus non-branded and sized to plan credits; a defensible brand roster, tag taxonomy, and topic structure written straight into Peec; and an iteration loop that sharpens the strategy as live data comes in.
A stakeholder presentation drops out at the end with the reasoning behind every decision, so the project doesn't just track the right things but also defend why.
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