Open Source TypeScript SEO Tools

OpenSEO is an open-source search engine optimization platform positioned as a simpler alternative to large commercial SEO suites. It provides focused workflows for keyword research, rank tracking, competitor analysis, backlink research, site auditing, and AI visibility monitoring. A modern web interface keeps these tasks accessible without hiding them inside a large collection of unrelated reports. The platform exposes an MCP server so AI agents can work directly with SEO data and reusable agent skills. Users can run a hosted edition or self-host the application with Docker or Cloudflare. Self-hosted installations connect to DataForSEO with the user's own API key and use pay-as-you-go data rather than a mandatory software subscription. Because the code is open, teams can modify the workflows and build specialized internal SEO tools.

Ansvisor is an open-source AI visibility and answer engine optimization platform built to help brands understand how they appear in AI-generated answers. It tracks mentions across platforms such as ChatGPT, Google AI Overview, Google AI Mode, Gemini, Perplexity, Copilot, Grok, and Claude. The platform helps teams measure visibility scores, compare competitors, analyze prompt performance, and identify which sources AI systems cite alongside their brand. It also includes AI traffic analytics, allowing organizations to see visits that arrive from AI answer engines and break them down by platform, landing page, and country. Ansvisor supports content optimization workflows by generating briefs with titles, outlines, target keywords, and competitor insights. It can be self-hosted with unlocked features or used through a managed cloud option, making it useful for SEO teams, content marketers, agencies, and brands adapting to AI search.

Goose AEO is an AI agent orchestration framework focused on automating engineering operations and workflows through autonomous agents. It builds on the concept of local AI agents that can execute complex tasks such as writing code, debugging, managing pipelines, and interacting with APIs without continuous human supervision. The system is designed to be extensible and adaptable, allowing developers to integrate different language models and configure multi-agent workflows tailored to specific use cases. It emphasizes automation of repetitive and complex development tasks, enabling users to focus on higher-level problem solving and innovation. The framework supports both command-line and application-based interfaces, making it accessible in different development environments. It also promotes modularity, allowing users to extend functionality with plugins or custom components.