B2AI Protocol: Preliminary Results on Edge-Routed Content Negotiation for LLM Crawlers and ESG Optimization.

The current web ecosystem is designed and optimized exclusively for human consumption, requiring the download of heavy interfaces. However, an ever-growing portion of global traffic comes from AI crawlers. Forcing these automated agents to download the complete "Visual Web" generates critical scalability and sustainability problems (Bandwidth Waste and Computational Expense). To resolve this inefficiency, we propose the implementation of the B2AI protocol, based on Content Negotiation at the network perimeter (Edge Routing).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-12
DOI
https://doi.org/10.5281/zenodo.20128943
Primary Topic
Web Data Mining and Analysis
Type
preprint
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preprint

B2AI Protocol: Preliminary Results on Edge-Routed Content Negotiation for LLM Crawlers and ESG Optimization.

Pablo Gil
Zenodo (CERN European Organization for Nuclear Research)
Web Data Mining and Analysis
preprint

B2AI Protocol: Preliminary Results on Edge-Routed Content Negotiation for LLM Crawlers and ESG Optimization.

Pablo Gil
preprint en

Abstract

The current web ecosystem is designed and optimized exclusively for human consumption, requiring the download of heavy interfaces. However, an ever-growing portion of global traffic comes from AI crawlers. Forcing these automated agents to download the complete "Visual Web" generates critical scalability and sustainability problems (Bandwidth Waste and Computational Expense). To resolve this inefficiency, we propose the implementation of the B2AI protocol, based on Content Negotiation at the network perimeter (Edge Routing).

Zenodo (CERN European Organization for Nuclear Research)
Southall Environmental Associates (United States) (US)
Life in Land, Responsible consumption and production
Web Data Mining and Analysis
DOIOpen Access PDFOpenAlex
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