Agent skill · marketing growth · mvanhorn
pp-botsee
Have your agents measure and improve your brand's AI Visibility with botsee.io. API-first, agent-native. Trigger phrases: `check my AI visibility`, `audit my AI visibility`, `audit example.com`, `what AI is saying about my brand`, `show competitor mentions in ChatGPT`, `run botsee`, `use botsee`, `botsee audit`.
Why this skill is useful
Adds specific commands and workflows for auditing AI visibility that the AI wouldn't reliably generate on its own.
What it needs
Requires botsee-pp-cli installed locally. About 8k tokens when loaded. Last updated 2026-08-06. 1,890 stars on the source repository.
What this skill does
BotSee — Printing Press CLI Prerequisites: Install the CLI This skill drives the botsee-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first: 1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows: 2. Verify: botsee-pp-cli --version 3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill. If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer): If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds. When to Use This CLI Reach for this CLI when an agent or pipeline needs structured BotSee data without burning credits on repeat reads. Best for: running a fresh AI-visibility audit (ai-visibility-audit <url> is the headline), inspecting an existing site's setup (site-config), generating recommendations from a completed analysis, or aggregating cited sources across multiple sites for a portfolio view. Not the right tool for hosted dashboard UI use — that's app.botsee.io. Unique Capabilities These capabilities aren't available in any other tool for this API. Flagship workflow ai-visibility-audit — One command runs the full BotSee audit: idempotent on existing sites, bootstraps customer types and personas and questions if missing, then runs analysis across every LLM and prints a structured visibility report. This is THE command. Reach for it when an agent or user says 'audit my AI visibility' or 'check how AI sees example.com' — it handles the full lifecycle. recommendations — Generate next-step recommendations from an analysis — promoted to top-level so agents can discover it without descending into the analysis subcommand tree. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills mvanhorn/botsee