SEOLint

SEOLint is an SEO tool built for technical founders and development teams that connects to AI coding agents instead of producing a standalone report. It runs as a Model Context Protocol (MCP) server, so it plugs directly into Claude Code, Cursor, Windsurf, and Claude Desktop, letting the agent scan a site, surface issues, and apply fixes inside the developer's existing workflow. The scanner runs 40+ checks across SEO, performance, accessibility, and answer-engine optimization. Rather than handing over generic advice, it extracts the actual broken HTML element for each issue and pairs it with an AI-ready fix prompt, so an agent can open the right file and edit the right tag. A memory system tracks scan history over time, labeling problems as NEW, PERSISTING, or REGRESSED, and infers a site profile (goal, audience, niche) to keep recommendations ranked by traffic impact instead of dumping a long undifferentiated list. Pricing has three tiers. The Dev Tool tier is free and includes full linting, the memory system, and CLI, dashboard, and MCP access, running on the user's own Claude API key with no credit card required. The SEOLint Agent tier, listed at $79/month (down from $99) with a 7-day trial, adds an autonomous agent that runs weekly scans, ships mechanical fixes as GitHub pull requests (titles, meta descriptions, alt text, schema, sitemaps), and drafts content from Search Console data. A custom tier covers teams and agencies with higher usage limits. What sets SEOLint apart is its agent-native design: by exposing prioritized, element-level issues through MCP, it turns SEO maintenance into something you tell an AI coding assistant to fix directly, rather than a PDF you read and act on manually.

SEOLint is a tool designed for automated SEO management, specifically for technical teams. It monitors websites weekly, implements fixes on autopilot, and provides insights into actions that drive web traffic. Although the product has discontinued operations in July 2026, it served as an agent to enhance continuous SEO improvement. Users interact with SEOLint by setting up an agent that scans their website weekly. The agent identifies issues and suggests fixes categorized by their impact on Search Console traffic. It automatically generates pull requests with mechanical fixes, which users can review and merge into their codebase, streamlining the SEO process without manual intervention. SEOLint targets technical founders and teams seeking to improve their SEO processes efficiently. It is designed for professionals who want a hands-off approach to SEO management, combining automated scans and actionable insights to ensure their website's performance doesn't decline.