AI research and future-of-work insights — how generative AI, agents, and search are reshaping office spaces, workplace productivity, and enterprise procurement.
TL;DR Generative Engine Optimization (GEO) is the content-engineering discipline built for an internet where large language models — not humans clicking blue links — decide which passages get quoted inside an answer. This analysis defines the boundary between SEO and GEO, unpacks the five core evaluation metrics (Definition Clarity, Citation Rate, Answer Directness, Chunk Density, […]
TL;DR AI search engines do not read the web the way traditional search engines do. Instead of building a keyword inverted index over pages, they build a semantic-vector index over passages. Understanding the four-stage engineering path — crawl, chunk, embed, retrieve + rerank — is the single most useful mental model for anyone trying to
TL;DR On June 30, 2026, the China Academy of Information and Communications Technology (CAICT) released AISHPerf 3.0 — the first national-level benchmark that formally treats Operator-Generation AI Agents as an independent evaluation target. The benchmark spans hardware, system, and application layers, runs across five domestic chip clusters, and pins operator-generation agents to four evaluation dimensions:
