GEO Optimizer

A pluggable generative engine optimization framework written in Go, with built-in strategies for common use cases and support for registering your own. Strategies include one that enhances content with citations, sources and credentials, one that moves key conclusions to the beginning, one that adds a clear heading hierarchy with bullet points and organized sections, and one that generates FAQ sections for common queries. A rule-based content scoring system rates GEO quality, an LLM abstraction supports multiple providers, with GLM supported today and others possible, and presets store preferences for AI platforms such as ChatGPT and Perplexity. End-to-end tests cover basic functionality, from LLM chat to single-strategy optimization, and a full business flow, with Markdown test reports. It needs Go 1.21 or later and LLM API access, and detailed API documentation is provided. MIT licensed.