Keyword Research

This is a brief explanation of the keyword research process. The more potential customers understand about how these recommendations are generated, the more confidence they can have in them.

The database we currently use for researching keywords contains about 400-500 million recent searches. This database provides, among other things, a total count of the number of times a specific keyword appears in the database. It also extrapolates the data to predict a daily number of searches for that keyword for all search engines. Based on this data, the number of daily searches is currently nearly 600 million. This service is the standard in the search engine optimization (SEO) industry.

Here's the basic process we currently use to select the most appropriate and relevant keywords for a client.

The initial keyword list must come form the client, hopefully with a great deal of input form their customers. Beginning with this list, we search for synonyms.

Using chocolate as an example of a keyword, synonyms might be food, beverage, candy and deep brown. We then search laterally to find more related words. For example, the words cocoa, truffles and fudge are related to chocolate but are not synonyms. If the new words are highly relevant, we use them as subjects of further lateral and synonym searches.

Assuming an average initial list of 20-50 potential keywords, the completed research list can be quite lengthy. Eventually we'll reduce the list to the most relevant phrases. These phrases are then submitted to the database to determine how often these keywords were actually used by searchers. Because the database predicts the number of daily searches for any given keyword or key phrase, the final list of keywords can then be ranked words by the volume of daily searches.

The results of this research reveal the keywords that have the highest probability for success.

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