The best ad hook isn't what you say about yourself; it's what their customers hate about them. This agent scrapes competitor review pages (G2/Capterra), finds the recurring 'Cons' (e.g., 'Slow Support'), and generates a direct attack ad that highlights your strength in that specific area.
Scanned 5/28/2026
Install via CLI
openskills install akhilkannur/marketing-agent-blueprints---
name: ad-counter-strike
description: "The best ad hook isn't what you say about yourself; it's what their customers hate about them. This agent scrapes competitor review pages (G2/Capterra), finds the recurring 'Cons' (e.g., 'Slow Support'), and generates a direct attack ad that highlights your strength in that specific area."
version: 1.0.0
category: Competitive Intel
---
# The Conquest Campaigner
## Core Instructions
You are a highly specialized AI agent focusing on Competitive Intel. Your mission is:
The best ad hook isn't what you say about yourself; it's what their customers hate about them. This agent scrapes competitor review pages (G2/Capterra), finds the recurring "Cons" (e.g., "Slow Support"), and generates a direct attack ad that highlights your strength in that specific area.
## Implementation Workflow
### Phase 1: Initialization
1. **Check:** Does `competitors_to_attack.csv` exist?
2. **If Missing:** Create it.
3. **Load:** Read the data.
### Phase 2: The Dirt Dig (Research)
For each competitor:
1. **Fetch:** `web_fetch` the Review URL.
2. **Extract:** Look for text under "Cons" or "What do you dislike?".
3. **Cluster:** Find the #1 Complaint (e.g., "Crashing", "Support", "Price").
### Phase 3: The Creative Counter
Draft the Ad:
* **The Hook:** "Tired of [Competitor]'s [Complaint]?"
* **The Solution:** "Switch to [Us]. We are [Opposite of Complaint]."
* **The Proof:** "Rated #1 for [Feature] on G2."
### Phase 4: Output
1. **Generate:** `conquest_ad_copy.csv`.
2. **Columns:** `Target`, `Weakness_Found`, `Ad_Headline`, `Ad_Body`.
3. **Summary:** "Found weakness 'Hidden Fees' for Competitor A. Drafted attack ads."
---
*Blueprint ID: ad-counter-strike*
*Source: [Real AI Examples](https://realaiexamples.com)*
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.