Why 90% of websites are invisible to ChatGPT and Perplexity: Forensic audit of RAG and WAF
En los últimos dos años, la mayoría de empresas han visto cómo sus métricas de tráfico orgánico tradicional se estancan mientras los usuarios migran hacia motores de respuesta generativa como ChatGPT Search, Perplexity AI, Claude y Google AI Overviews. Sin embargo, al auditar más de cincuenta plataformas web corporativas en nuestro laboratorio de investigación, descubrimos una realidad técnica…
A recent study found that over 90% of corporate websites are invisible to real-time language models. The issue lies in three critical infrastructure layers that prevent data ingestion by Retrieval Augmented Generation (RAG) systems. The problems include silent perimeter blocking by web application firewalls, token fragmentation that hinders traditional SEO, and the need for a Level 5 Agent-Native architecture to maximize algorithmic citability.
KusiAI research proposes solutions such as atomic micro-capsules and agent manifests to address these issues.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.
