About jev-seo

jev-seo is a free and open-source SEO and Generative Engine Optimization toolkit in one native Rust binary. MIT licensed, zero subscriptions, zero paid data APIs, zero telemetry.

Why it exists

Semrush and Ahrefs cost over $130 a month, and most free alternatives hide behind a paid data API. jev-seo scrapes free DuckDuckGo endpoints directly, audits local files on your machine, and scores AI citation likelihood through TypeSafe Jev. The result is a complete search radar that never asks for a credit card.

What it does

Ten commands cover the full workflow: live SERP competitor radar and content gap analysis (query), batch on-page audits that catch thin pages, title collisions, orphan links and AI slop (audit), GEO citation scoring from 1 to 10 (geo), Schema.org JSON-LD validation (schema), AI crawler permission checks for GPTBot, ClaudeBot and Google-Extended (robots), competitor SERP synthesis into ready-to-write briefs (brief), rank drift tracking in local SQLite (rank), sitemap validation (sitemap), autocomplete keyword discovery (keywords), and a stdio MCP server (mcp) that feeds all of them into Claude Code, Gemini CLI, and Antigravity.

How the oracle works

TypeSafe Jev System One answers machine-native questions with machine-native types: Score for 1–10 ratings, Noul for calibrated probability, Choice for classification. The CLI does all arithmetic and counting; Jev does only semantic judgment. That split is the whole architecture, and it is why jev-seo flags real defects instead of writing confident paragraphs you then have to verify.

Licensing and cost

The project is MIT licensed and the source is public on GitHub. It runs under 30MB of RAM, keeps rank history in one local SQLite file, and the only optional dependency is a free TypeSafe API key for semantic scoring.

Evidence, not dashboarding. Read the full proof sheet or clone the source on GitHub ↗.