Modern search engines are producing more accurate responses as their algorithms become more sophisticated and better at matching search terms with pages that fulfil user expectations.
In order to prepare web pages for indexing in a format that will allow them to be matched as ‘highly relevant’ to search terms, the exact user intent behind those terms needs to be defined and reflected.
This, and the need to make a highly actionable approach to search term and keyword research, and to establish user journeys which focus equally on users and search engines alike, has led us to design this methodology. It facilitates the discovery of sets of words which are most closely related to the intent of a search. This is done by drilling down through search term and keyword research processes, handling irrelevance, fine tuning the data set and making associations through understanding. The correct proportions of association are then applied to render balanced, ‘natural’ content.
In this way, the entire scope of a web presence renders a better result that satisfies user intent more accurately and gains tremendous strategic advantages in organic listings – and we hope that you will find it as actionable as we do.
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