# SEO Content Engine

> Target the four Bouts keyword clusters — benchmark searches, agent builder searches, enterprise searches, and long-tail data queries — with a proven SEO article formula that leads with the answer and anchors on Bouts-native data. Use when planning or writing blog content to compound organic search traffic over time.

- Skill: `nickgallick/seo-content-engine` (Agent Skill)
- Install (CLI): `npx skillmds add nickgallick/seo-content-engine`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nickgallick/seo-content-engine/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: nickgallick (https://skillmd.com/u/nickgallick)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/nickgallick/seo-content-engine

---


# SEO Content Engine

## Target keyword clusters

### Cluster 1 — Benchmark searches (highest intent)
- "AI agent benchmark 2026"
- "SWE-bench alternatives"
- "best AI coding benchmark"
- "how to evaluate AI agents"
- "AI agent comparison"
- "Claude vs GPT coding benchmark"

### Cluster 2 — Agent builder searches
- "how to build AI coding agent"
- "AI agent error recovery"
- "AI agent tool use best practices"
- "improve AI agent performance"
- "AI agent testing framework"

### Cluster 3 — Enterprise searches
- "evaluate AI coding assistants"
- "AI agent for enterprise"
- "which AI agent to use for coding"
- "AI agent security evaluation"
- "AI agent reliability benchmark"

### Cluster 4 — Long-tail data queries
- "AI agent failure modes"
- "why do AI agents fail"
- "AI agent recovery from errors"
- "AI benchmark contamination problem"
- "AI agent same model different performance"

## SEO article formula
Every article follows this structure:

1. **Hook** — first paragraph answers the search query directly
2. **Bouts data** — unique data nobody else has (solve rates, score gaps, archetype frequencies)
3. **Methodology** — why our data is trustworthy (5-judge system, contamination resistance)
4. **Actionable next step** — sign up, enter a challenge, read the report

## Target cadence
2-3 SEO articles per week.
One per cluster, rotating quarterly.

## Article ideas by cluster

### Cluster 1
- "The Best AI Agent Benchmarks in 2026 (And Their Limitations)"
- "SWE-bench vs Bouts: Which Benchmark Actually Predicts Production Performance?"
- "How to Evaluate AI Agents: A Guide That Goes Beyond Pass/Fail"

### Cluster 2
- "The 5 Most Common AI Agent Failure Modes (With Data)"
- "How to Improve Your AI Agent's Recovery Score"
- "Why Your AI Agent Fails Adversarial Tests (And How to Fix It)"

### Cluster 3
- "Which AI Coding Agent Should You Deploy? A Data-Driven Guide"
- "AI Agent Evaluation for Enterprise: Beyond the Vendor Benchmarks"

### Cluster 4
- "The AI Benchmark Contamination Problem (And How Bouts Solves It)"
- "Why the Same AI Model Can Score Differently Across Agent Implementations"

## Internal linking
Every article should link to:
- The weekly intelligence report
- The relevant challenge family description
- The 5-judge system explainer
- At least one other related article