Experiment Data: Text in Paragraphs is More Important for Ranking than H2-H3 Headings

Experiment Data: Text in Paragraphs is More Important for Ranking than H2-H3 Headings

Based on data from over 400 controlled experiments, a hierarchy of on-page ranking factors has been established using a purely mathematical approach.

This data-driven model challenges the popular myth that «content is king,» asserting that one must first meet the mathematical requirements of the algorithm for content to have any chance of ranking.

The most significant on-page elements (HTML tags), in order of decreasing importance:

1. title
2. H1
3. p
4. H2-H3
5. URL

A key and often overlooked insight is the high value of content in p tags, which, as the data shows, carries more weight than the H2-H3 subheadings.

This indicates that while subheadings provide structure, the main text serves as a more significant signal.

Practical application: first, create a strong structure with clear titles and subheadings.

This will yield well-structured content that will then require only minor adjustments for optimization.

It is reported that this data-driven optimization model works even more effectively in the current AI landscape of search engines.

https://seobymarta.com/blog/math-behind-rankings-interview-with-kyle-roof/