jev-seo 0.1.0

FOSS zero-cost, agent-first SEO & GEO search radar CLI powered by TypeSafe Jev
jev-seo-0.1.0 is not a library.

title: "jev-seo: FOSS Zero-Cost SEO & GEO Search Radar" description: "Open-source, subscription-free alternative to Semrush and OpenSEO. Powered by TypeSafe AI Jev and local DuckDuckGo scraping."

Why jev-seo?

Semrush and Ahrefs cost upwards of $130 per month. OpenSEO still requires paid DataForSEO credit cards. Most SEO suites are bloated web dashboards filled with vanity charts.

  • Zero subscriptions (₹0): Scrapes DuckDuckGo HTML and suggest endpoints directly. No credit cards, no paid API keys.
  • TypeSafe Jev System One: Semantic intent classification, competitive gap detection, and AI visibility (GEO) scored deterministically without conversational LLM hallucinations.
  • Agent native (MCP): Native stdio MCP server directly feeds keyword gaps and page audit scores into Claude Code, Gemini CLI, and Antigravity.
  • Local & private: All rank tracking and audit histories persist in a single local SQLite database (.jev-seo.db).
  • Low RAM footprint: Fast native Rust binary that runs in under 30MB RAM on resource-constrained machines.

Quickstart

# Install via Cargo (crates.io)
cargo install jev-seo

# Set your TypeSafe key for semantic oracle scoring
export TYPESAFE_API_KEY=your_key_here

# Run a live SERP competitive radar check
jev-seo query "offline expense tracker android"

# Audit a markdown blog post or local HTML file
jev-seo audit content/posts/my-post.md --keyword "offline expense tracker"

# Track domain rankings over time (saved to local SQLite)
jev-seo rank track --domain mysite.com --keywords "rust cli, seo tools"

# Start the Agent MCP Server
jev-seo mcp

Workflows

1. Keyword Research & Search Intent

jev-seo keywords "rust tui"

Fetches autocomplete branches and uses Jev Choice to categorize intent into Informational, Commercial, Navigational, or Transactional.

2. Live SERP Radar & Content Gaps

jev-seo query "best local markdown editor"

Pulls top 10 live SERP results, analyzes winning patterns, and highlights structural content gaps.

3. Generative Engine Optimization (GEO)

jev-seo geo https://mysite.com/features

Calculates citation probability for Perplexity, SearchGPT, and Gemini Overviews using Jev Score (1-10) and Noul.

4. Git Pre-Commit SEO Screener

git diff HEAD~1 | jev-seo diff

Screens changed markdown and HTML files for missing meta tags, broken link references, and AI-slop vocabulary.

Architecture

jev-seo
├── src
│   ├── main.rs         CLI entrypoint & command dispatch
│   ├── cli.rs          Clap command definitions
│   ├── engine.rs       TypeSafe Jev client & speculative fan-out
│   ├── serp.rs         DuckDuckGo HTML & suggest scraper
│   ├── audit.rs        Markdown & HTML parser and meta verifier
│   ├── rank.rs         Local SQLite rank drift tracker
│   └── mcp.rs          Stdio JSON-RPC 2.0 MCP server
└── Cargo.toml

Non-Goals

  • No bloated electron or cloud web dashboards.
  • No paid third-party API dependencies (no forced DataForSEO subscriptions).
  • No generative AI prose synthesis (Jev is used strictly as a deterministic evaluation oracle).

Ecosystem

Built alongside:

Author: Akash Priyadarshi (Patna, Bihar, India)
GitHub: @AkashPriyadarshii • Portfolio: akashpriyadarshi.vercel.app • LinkedIn: in/akash-priyadarshi-1aa51b37a