Gain Of Knowledge Algorithms

by Wayne Smith

What are the Gain Of Knowledge Algorithms?

knowledge being added to a robot

The term did not originate from Google; gain of knowledge algorithms are a description of both information from the testimony of Google and observations of pages in Google search results.

The first incarnation would be in the collecting data for the Google Knowledge panel, using Google Knowledge Graph. Its second may be Google RankBrain Algorithm which specifically is designed as a ranking algorithm, although the Knowledge Panel algorithm may have been created for RankBrain. Natural Language Processing Algorithms are part of the gain of knowledge, which more specifically learns about the relationship between spoken concepts or entities. And the newest would be Google's Generative AI. All incarnations create a set of algorithms, and not all of the names of algorithms are public information.

Minimum Viable E-E-A-T for Knowledge Learning

The algorithmic learning is knowledge which Google does not hard code into search. Although some elements like CDC is the authority for Covid may be hard coded, dictionaries provide the meaning of words; The knowledge is not based on all available information on the internet. It is based algorithmically on selecting the best sources for accurate information.

It is fair to say that the knowledge is either what is published by sites that have authority or information that is agreed on by a number of sites.

Promoting truthful content and protecting users from false content

The promoting of truthful content and demoting of false content, (part of the YMYL algorithms), using AI is a polarizing concept.

Google's interest is to provide the user with the information they want, based on user intent, and maintain content on both sides of many topics. Demoting of content is mostly for YMYL, (Your Money, Your Life), topics. The algorithm is of course mathematical. For Entity SEO purposes, select entities or terms that do not conflict with the point of view of the content being produced. A citation of a fact check can be helpful to both readers and SEO.

SEO: Evolution of Websites (Brands) to Search Entities

Gain of Knowledge and SEO

It can be observed that updating content with a more careful use of words, (or in AI terms entities), which provide clarity to visitors and AI alike, can improve the placement in search for the page. Careful selection of entities can result in a smaller page that does better than a larger page.

AI content can do well in search, generative AI is based on entities. The selection of entities made by generative AI is to answer the query intent of the question; Content intent while it needs to match query intent is a different animal altogether. Content needs to answer many questions within the scope of the content. Human-written content does better than AI content when it is well-written.

Asking AI many questions can reveal topics that may have been overlooked in the draft copy of the content.

Filling in topical gaps provides the gain of knowledge which provides the promotion of content. As well as selecting entities that support the content on the page; instead of entities that contradict the information.