What question did this study set out to answer?

The aim is to describe the discovery mechanisms and infrastructure required for AI systems within Stage 1 of the AI Visibility Lifecycle.

February 9, 2026Open Access

Stage 1 — AI Crawling: Discovery & Access Infrastructure (v0.7)

Puntos clave

The aim is to describe the discovery mechanisms and infrastructure required for AI systems within Stage 1 of the AI Visibility Lifecycle.
Detailed documentation of AI crawling mechanisms
Overview of URL submissions, sitemaps, and beacons
Examination of crawl infrastructure and JavaScript processing
Analysis of crawl budget dynamics
Identification of key components necessary for effective AI domain discovery
Clarification of architectural conditions required for Stage 2 progression
Emphasis on the importance of autonomous exploration in AI systems

Resumen

Comprehensive technical documentation of Stage 1 of the 11-Stage AI Visibility Lifecycle. Covers how AI systems discover domains through URL submissions, sitemaps, beacons, inter-domain signals, and autonomous exploration. Details crawl infrastructure requirements, rendering and JavaScript processing, crawl budget dynamics, and the architectural conditions that must be satisfied before progression to Stage 2 (AI Ingestion). Part of the AI Visibility Architecture (AIVA) framework documentation.

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Cite This Study

Bernard Lynch (Sat,) studied this question.

synapsesocial.com/papers/69897a06f0ec2af6756e83ca https://doi.org/https://doi.org/10.5281/zenodo.18512820

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