Ask in plain language
No filters, no dashboards. Ask about hooks, competitors, or categories the way you talk.
Pick a question, then watch AGGClaw turn it into a structured, evidence-backed answer.
Raw rows tell you what ran. AGGClaw tells you why it worked and what to try next. One agent covers games, apps, and short drama.
No filters, no dashboards. Ask about hooks, competitors, or categories the way you talk.
Drill down, compare, and pivot. AGGClaw keeps session context across turns.
Every answer points back to the real ad materials behind each finding.
Most ad data APIs hand you rows. AGGClaw hands you a decision.
Thousands of rows. Your team still has to clean, tag, and interpret them.
A structured answer: what is running, why it works, and what to try next.
AI analysis is only as good as the data behind it. AppGrowing preprocesses ad creatives at scale so every answer is grounded in real marketing data.
Ship as an AI Agent Skill and a native MCP server. Your existing agents call ad intelligence without changing workflow.
Claude
ChatGPT
OpenClaw
AGGClawopenclaw skills install aggclaw
Model Context Protocol server for MCP-compatible agents.
Install in Claude, ChatGPT, Codex, OpenClaw, or an internal agent.
Ask on WhatsApp to get your key and a walkthrough.
Ask on WhatsAppCategory analysis, app teardown, script generation, weekly and monthly reports. Pick a stage, copy a ready-to-use prompt.
Understand how a genre or product is scaling before you commit budget.
My benchmark competitor is Whiteout Survival. Analyze the common characteristics of its highest-exposure creatives over the past month: extract the core selling points, the opening hooks in the first 3 seconds (survival crisis / numeric growth / side gameplay / live-action story), the closing hooks, the triggered emotions, and the highlighted gameplay features. Then summarize 3 reusable script skeletons for SLG survival titles.
Analyze the highest-volume Wuthering Waves creatives of the last 30 days. Identify the opening hooks and visual-wonder moments, the character/actor traits in videos, the triggered emotions, and the highlighted gameplay features (high-speed combat + open world). Summarize an open-world ARPG production methodology covering camera language, cut rhythm, and scene transitions.
AGGClaw is an AI ad strategy Agent built on the AppGrowing ad database. You ask a question in plain language and it returns a structured strategy analysis backed by real ad creatives.
AppGrowing tracks 2B+ ad creatives across 120+ ad channels, with 1M+ new ads added daily, including Meta Ads, Google Ads, TikTok for Business, AppLovin, Unity Ads, Mintegral, ironSource, and more.
Yes. AGGClaw has dedicated analysis modes for games, non-game apps, and short drama, plus an Inspire mode for creative ideation.
A native Model Context Protocol server that lets MCP-compatible AI Agents call AppGrowing ad intelligence directly.
Ask on WhatsApp and the AppGrowing team will set up access and onboarding for you.
Ask on WhatsAppYes. Sessions keep context, so you can drill down, compare, and pivot within the same conversation.
Yes. Answers reference the real ad materials behind each finding, which your team can review.
A raw data API returns rows of creatives. AGGClaw returns an analysis: what is running, why it works, and what to try next.
Install the AGGClaw Skill or use the MCP server with your agent. Ask on WhatsApp for setup help.
Put an ad strategy analyst inside your workflow.
Connect AppGrowing ad intelligence to your AI agents and start getting strategy answers in plain language.
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