LLMic is a native macOS AI SEO auditor built for the new kind of search. Earlier, ranking was mainly about links and keywords. Now, AI systems read your pages, extract facts, and then answer questions directly. Because of that, a page can “rank” and still lose attention if the content is hard to extract or risky to cite.

LLMic helps you fix that. First, it crawls your site like a careful reader. Then it measures signals that affect AI extraction, summarization, and quoting. Token economy shows how much code and noise surrounds your real content — so you know where to simplify. Hallucination risk highlights claims without support. If a model can’t find proof, it may fill gaps with guesses. So LLMic pushes you toward clearer definitions, better structure, and trust anchors (examples, sources, measurable statements).

The workflow stays simple: scan, review, fix, re-scan — and improve AI visibility step by step. It scans a site or paste a URL list, extracts content and computes trust signals, prioritizes issues by impact, and exports fixes.

LLMic helps you make your site AI-citable by identifying issues that affect citations, summaries, and trust in AI answers. It provides clean, local audits without dashboards or uploads.

Since LLMic is a desktop app, it feels fast and private. You can run audits without sending page content to a cloud dashboard. The target users are those looking to optimize their websites for AI search visibility.