website-llm-seo

To make a Next.js website indexable by Google and AI engines, fix auth-loading skeletons and Suspense/RSC streaming issues that hide content. Adding structured data and llms.txt signals ensures both search engines and AI models can discover your site.

Generative Engine Optimization (GEO) for AI discoverability is the process of implementing llms.txt and <link rel="alternate"> signals. This ensures modern AI language models can successfully access, crawl, and understand your website content.

Google indexing fails on Next.js Suspense and RSC streaming pages because bots receive loading skeletons instead of fully rendered text content. Rectifying insufficient text depth and resolving streaming blocks ensures proper search engine indexing.

To perform a competitive bot audit for Next.js SEO, run the provided Python script against your website and a competitor's site. This diagnoses content indexing issues and identifies missing structured data or llms.txt signals.

Yes, your website needs structured data and llms.txt for AI discoverability because these signals allow AI engines to understand content context. Without them, modern language models may find your pages invisible during generation.

The best way to fix thin content for SEO and GEO is to increase text depth and ensure fully rendered content reaches crawlers. Addressing insufficient text depth alongside missing structured data optimizes both Google indexing and AI discoverability.