Analyzing AI Crawling Rules Across Major Platforms
1. Rule Overview
AI responses are primarily based on publicly available and legally compliant data. They learn language patterns through large-scale pre-training and supplement time-sensitive content by integrating real-time search information. Data sources undergo strict screening, including high-quality encyclopedias, books, academic papers, and content from authoritative websites. Duplicate data is removed, and low-quality as well as harmful information is filtered out through data cleaning processes.
2. Rule Interpretation
Publicly Available & Legally Compliant
We need to generate data that is publicly accessible and compliant with relevant laws and regulations.
Real-Time Search
AI is equipped with internet connectivity capabilities. Without internet access, data will not be updated, and the generated results may become outdated.
Time Sensitivity
This indicates that AI prioritizes capturing recently published content. Content with an earlier publication date has a lower probability of being adopted. It is important to note that search functionality relies on prior indexing. If content is not indexed, even newly published information will not be detected by AI. Therefore, ensuring that the content you publish is indexed is crucial.
Strict Screening
This means that AI does not reference all available data sources; instead, sources must go through a rigorous screening process.
Authoritative Websites
This implies that authoritative websites carry greater weight in AI's decision-making process. We also need to understand the concept of authoritative websites—what defines them and what characteristics they possess.
Deduplication & Consensus Seeking
AI captures content from multiple web pages and then identifies consensus among them. Content paragraphs lacking consensus are unlikely to be referenced. To increase the probability of being cited, a sufficient number of data sources supporting the content is required. A key consideration is determining the threshold for "sufficient"—specifically, how many sources are needed to meet this criterion.
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