Starting with only a few main keywords defining a topic, this component explores the entire topic to create a topic database, and find the unsatisfied Content Demand
The demand for a topic is the keyword cloud related to this topic, with keyword metrics
The content for this topic is the overall visible content, pertinent for the keyword cloud
Content Demand Data
Combining the demand and the content, with their metrics - as given by metric vendors, theoretically enables the user to find the unsatisfied content demand. In facts, this fails to happen because the metric venors have only rough estimated data, with a precision that dramatically decrease in the long tail.
As a contrary, we build a clusterized content database, and publish it online (as a long tail aggregator) to get trafic statistics on the real unsatisfied Content Demand, and much more...
|Starting with a few keywords to define the topic, the database connects to keyword services to expand the keyword cloud:
|The database bots fetch content related to the keyword cloud
|Retrieval of all existing external metrics for the content items: