For SEO, it is important to understand at which levels the search results are determined based on which ranking factors. Therefore, below is a brief explanation of the three dimensions.
A distinction must be made between document-specific ranking factors and more general meta-factors.
document level
Ranking factors that are responsible for evaluating relevance hong-kong phone number data usually work at the document level. Something is relevant for search engines if a document or content is significant in relation to the search query and its search intent.
The relevance assessment at document level is carried out by Ascorer / Muppet for the initial ranking and Superroot / Twiddler for the ongoing reranking.
Here are some of the ranking factors applied at the document level:
Keyword usage in headings, content and page titles
TF-IDF / BM25
Internal and external linking and anchor texts
meeting the search intent
user signals (Deeprank, RankEmbed BERT, Navboost)
Passage Based Indexing
Information Gain
Helpful Content (EEAT)
Knowledge Based Trust (EEAT)
domain level
Domains are digital representations of author entities. Ranking factors that are independent of entities also apply at the domain level. This dimension should therefore be considered in segments. Sitewide or domain-related ranking factors can have an effect at the overall domain level, website area level or topic level and are not relevance factors but quality factors. Here are some ranking factors at the domain level:
Top Level Domains (TLDs)
Internal and external linking and anchor texts
Content quality overall or per topic (EEAT)
Page Experience (Core Web Vitals)
domain age
domain trust
Distance to trust seed sites in the link graph (EEAT)
Transparency to Authors and Publishers (EEAT)
Topical Authority (EEAT)
author entity level
The evaluation of author entities (authors, organizations) according to EEAT is a relatively new dimension in Google ranking. It is also a thematic or general quality evaluation that can also be applied independently of the domain. The basis was created in 2013 by the Hummingbird Update and the Knowledge Graph. You can find out more about this here in the blog or if you google Olaf Kopp EEAT .
Ranking factors for evaluating the author entity include:
author's experience
Co-occurrences of the entity name with thematically relevant terms in search queries and content
sentiment around the entity
Number of published content on a topic
Share of content within a thematic document corpus
Mention of the entity in best of and award lists
Brand search volume
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