We are great fans of entities because they work better when they are connected. Search engines like them as well and we like to be the pioneers in adopting the general idea of building the web of interconnected meanings, just like Tim Berners Lee envisioned more than 20 years ago.
We are great fans of sharing on how we do stuff because growing alone is not fun and because we believe that growing as a community brings everyone forward faster. In simple terms, our novel content writing approach is based on forming content knowledge-native foundations with an end goal to bring impact to our clients’ SEO strategy:
We gather keywords from Google Search Console, communication strategies or any keyword research process in general, just to form the basis for analysis;
In the next step, our NLP and deep learning algorithm analyses the provided keywords and extracts TOP search queries that are associated with the queries that we provided as a basis in the first step;
Once we are done with this, we analyze the extracted phrases and try to identify the most important entities based on manual observation but also entity confidence;
Once the most important entities are identified, we build your knowledge graph out of them;
Finally, our tool provides a JSON-LD output that can be used on your website.
As explained before, this way we engineer our content for search and produce knowledge graph-native structured content but also how we engineer our content for reuse in an omnichannel context.