SERP-based content scoring, entity analysis, and actionable SEO recommendations.
Score your content against top-ranking pages. Know exactly what to improve.
Why Content Optimizer?
Paid content optimization tools charge $89-$170/month for SERP-based scoring. Content Optimizer gives you the same analysis — for free, self-hosted, and extensible.
| Feature | Content Optimizer | Surfer SEO | Clearscope | Frase |
|---|---|---|---|---|
| Price | Free | $89/mo | $170/mo | $15/mo |
| Self-hosted | :white_check_mark: | :x: | :x: | :x: |
| Open source | :white_check_mark: | :x: | :x: | :x: |
| Content scoring | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Keyword analysis | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Readability analysis | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Heading optimization | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: |
| Entity/topic coverage | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| MCP server | :white_check_mark: | :x: | :x: | :x: |
| AI editor integration | :white_check_mark: | :x: | :x: | :x: |
| API access | :white_check_mark: | Paid add-on | :x: | Paid add-on |
| No data limits | :white_check_mark: | Credits-based | Credits-based | Credits-based |
:sparkles: Features
:dart: Content Scoring — Score content 0-100 across 7 SEO categories with per-category breakdowns
:mag: SERP Analysis — Analyze top-ranking pages for word count, headings, and topic benchmarks
:abc: Readability Analysis — Flesch-Kincaid scoring, grade level, sentence length, reading time
:bookmark_tabs: Heading Optimization — Detect hierarchy issues, suggest keyword-rich heading structure
:brain: Entity Coverage — Find topics competitors cover that you're missing
:clipboard: Actionable Recommendations — Prioritized improvements ranked by impact
:robot: MCP Server — Use with Claude Desktop, Cursor, or any MCP-compatible AI tool
:chart_with_upwards_trend: Scoring Categories
| Category | Max Points | What It Measures |
|---|---|---|
| Keyword Usage | 20 | Density, placement in first paragraph and headings |
| Word Count | 15 | Content length vs SERP average and target |
| Heading Structure | 15 | H1/H2/H3 hierarchy, count, keyword inclusion |
| Readability | 15 | Flesch-Kincaid score, grade level |
| Entity Coverage | 15 | Topic coverage vs SERP competitors |
| Content Depth | 10 | Paragraphs, lists, statistics, data points |
| Internal Structure | 10 | Introduction, conclusion, logical flow |
| 100 |
:camera: Screenshots
Screenshots coming soon — the web UI is under active development.
:rocket: Self-Hosting Setup
Prerequisites
- Node.js 18+
- npm 9+
Installation
git clone https://github.com/sharozdawa/content-optimizer.git
cd content-optimizer
npm install
Development
npm run dev
Open http://localhost:3000.
Production Build
npm run build
npm start
:electric_plug: MCP Server
The MCP server lets you use Content Optimizer directly inside AI coding tools like Claude Desktop and Cursor.
Install via npx
No setup required — just add the config:
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"content-optimizer": {
"comma
Tools (2)
analyze_contentScores content against top-ranking pages across 7 SEO categories including keyword usage, word count, and readability.get_serp_benchmarksRetrieves benchmarks for word count, headings, and topic coverage from top-ranking pages.Configuration
{"mcpServers": {"content-optimizer": {"command": "npx", "args": ["-y", "content-optimizer-mcp"]}}}