LLM-Citeops

The tool provides a command‑line audit for web pages, measuring two metrics: Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). It evaluates how well a page can appear in search results and be cited by AI‑driven answer engines, returning a single combined score, a brief summary, and actionable fixes. Output can be generated in HTML, JSON, or CSV, and the audit can be integrated into continuous‑integration pipelines, causing builds to fail if scores fall below defined thresholds.

Developers and operators can run the audit locally against URLs, files, folders, or sitemaps, and the results are formatted for both business stakeholders and technical teams. The report highlights issues such as missing schema markup, weak author or date signals, and insufficient external citations, suggesting concrete changes like adding FAQPage or HowTo schema, publishing author information, and improving source attribution.

The package is open source, distributed via npm and hosted on GitHub, and is positioned as a free, CI‑ready alternative to traditional SEO tools, focusing on visibility in both search rankings and AI‑generated answers. It targets teams that need a unified view of search and AI trust signals before releasing content.