AI media buying copilot
Altaviz watches every campaign across Meta, Google, Taboola, and TikTok — finds what broke, prices it in dollars, and drafts the fix for your approval.
The engine has already found every problem in the account — priced per day.
Statistical evidence, no LLM guesses: the Google outage, the fatigued solar ad.
“What should I kill today?” — approve the copilot’s actions in the queue.
A fatigued creative quietly doubles CPA. A tracking outage burns a day of spend while dashboards look normal. A winner sits budget-capped because scaling it was nobody's job that week.
At affiliate scale that detection lag is a permanent tax on ROI. Dashboards show numbers — not what changed, what it costs, and what to do. Altaviz closes that gap.
Statistical detection over every campaign — creative fatigue, CPA drift, spend spikes, tracking outages, underfunded winners. Every finding priced in $/day.
z-scores · trend slopes · significance gates
A Claude copilot grounded in the same tools as the dashboard. Ask "what should I kill today?" — get dollars, evidence, and the why.
claude · tool-calling agent
Typed actions with exact platform-API params, queued for human approval. An agent never spends money unattended.
human-in-the-loop · never auto-executes
Everything behind the copilot is an MCP server at /api/mcp. Plug the account into the AI tools your team already uses.
Claude Code: claude mcp add --transport http altaviz https://altaviz.vercel.app/api/mcp
{
"mcpServers": {
"altaviz": {
"command": "npx",
"args": ["-y", "mcp-remote",
"https://altaviz.vercel.app/api/mcp"]
}
}
}