Content Strategy
An innovating way to deal with the content !
Old school method is out dated, let’s go with the knowledge graph method and localized what really your customers/users are looking for…
CONTENT STRATEGY
In Search&Click Digital, we believe that a good Content Strategy should be established based on the knowledge Graph set up by Search Engines.
The work around content must be in perfect harmony with semantic web and Search engines choices.
• Producing richer content, better chosen, more massive: the importance of the content’s conception methodology.
• Enriching and structuring content to put in the semantic web and maximizing SEO
• Not losing sight of the place of human beings in this system.
knowledge Graph:
The objective of the Knowledge Graph is to provide a structured answer which fits to the user’s request, rather than just links to sites such as engines used to do traditionnally.
To compose this complete answer, the principle chosen by Google is to structurally aggregate information in an informational listing, while offering related links to prolong.
What is our approach ?
Rethink the keywords, do not target only synonyms, work the long tail as expected and research contexts the users
Set Persona according to the target prospects / customers, create fictional characters representative per cluster
Create relevant content regularly, responding to various questions asked by users, integrate an approach OpenData
Create a tree by applying the principle of semantic cocoon (siloing), co-occurrence, fresh content
Integrate metadata (rich snippet), authenticate the site on Google+ page author and page pro and open graph, social sharing buttons
Semantic correspondence: the traditional pattern was to combine the content of links (short-term optimization). Today, it is a question of much more than that. The vision of Search&Click Digital is to make a semantic prioritization by benefiting from keywords punch and SCORE while strengthening metrics.
Search&Click Digital offers Data focusing on discovering all the users needs, enrich them with our local “knowledge graph” to meet your content.
There is no question here of Pagerank, but rather knowledge graph fully oriented categorization of content and social media footprint.
Database Entities:
- Products
- Brands
- Merchants
- Localisations
- Hotels
- Flights
- Car Rentals
- Insurrance
- Real Estate
- People
- Categories
- Categories
- Attributes
and much more…