Open-source, platform-agnostic methodology skill for building or refining an AI visibility tracking strategy — the prompt set, grouping structure, brand roster and reporting split that measure how a brand appears in ChatGPT, Gemini, Perplexity, AI Overviews and similar — on any AI visibility monitoring platform. Load it into any MCP-capable AI agent (Claude, Cursor, Codex, n8n, etc.).
Runs an iterative loop — Intake → Strategy → Write → Analyse — that produces concrete configuration changes and findings each pass, with an optional stakeholder presentation once the strategy has stabilised. Intake uses three rings (automated tools, a baseline path that always works, a batched user ask); Strategy outputs prescriptive recommendations with explicit override callouts; Write goes through the platform's API or a validated import file; Analyse reads the platform's data and feeds the next loop.
AI visibility, GEO, AI brand monitoring, prompt tracking, "what prompts should we track", "how are we showing up in ChatGPT / Gemini / Perplexity", a prompt set for an AI monitoring tool, a tracking strategy review, or reusing one market's allocation in another.
This is the core. Load it together with the companion for the platform in use:
- Peec AI —
peec-ai-tracking-strategy-builder(withpeec-ai-mcpfor tool mechanics) - SISTRIX —
sistrix-tracking-strategy-builder(withsistrix-mcp)
For any other platform, run the core alone and treat its import or API contract as the companion's job. Section numbers are shared across the family: every "§N — implementation" part in a companion extends the core's §N.
SKILL.md— mental model, cross-cutting and core principles, workflow overview, and a section map saying when to load each reference file.references/— the phase playbooks, loaded on demand: data persistence (§7), intake (§8), strategy incl. prompt authoring (§9–§10), pattern library (§11), write-and-analyse principles (§12–§13), Phase B stakeholder deliverable (§14), quality gates (§15), andallocate.py(the damped revenue-share allocation of §9.1.2).CONTRIBUTING.md— how to propose changes.LICENSE— CC BY 4.0.
Install the whole skill directory — SKILL.md and references/ must travel together — into your MCP-capable agent's skills directory, following the client-specific path, and install the platform companion beside it. Restart your client; the skill description triggers on the phrases above.
Open an issue or a PR at github.com/rebelytics/ai-visibility-tracking-strategy-builder. Platform-specific findings belong on the companion's repository.
- Original author: Eoghan Henn / LinkedIn
- Not affiliated with any AI visibility platform.
CC BY 4.0 — see LICENSE. Use it, fork it, adapt it, monetise it. Keep the attribution.