AI-powered development tools are producing websites with major search engine optimization flaws. Developers relying on LLMs often ship code that works but fails to rank. Common errors include client-side rendering without server-side support, which leaves content invisible to search crawlers.

Auto-generated URL slugs often contain special characters and break when titles change. Many sites lack proper meta tags, canonical URLs, and schema markup. Other issues include missing alt text on images, broken heading structures, and hallucinated statistics that damage credibility.

Few AI-generated sites include essential files like robots.txt or sitemap.xml. These mistakes stem from LLMs optimizing for functionality over findability. Developers must specify SEO requirements upfront and choose frameworks like Next.js or Nuxt that support proper indexing.

A site that doesn't rank is a missed opportunity, regardless of how quickly it was built.