{"id":22064,"date":"2022-06-15T16:36:19","date_gmt":"2022-06-15T14:36:19","guid":{"rendered":"https:\/\/wordlift.io\/blog\/en\/?p=22064"},"modified":"2022-06-15T20:20:10","modified_gmt":"2022-06-15T18:20:10","slug":"knowledge-graph-native-structured-content","status":"publish","type":"post","link":"https:\/\/wordlift.io\/blog\/en\/knowledge-graph-native-structured-content\/","title":{"rendered":"Writing Knowledge Graph-Native Structured Content: Use The SEO Add-On To Outrank The Rest"},"content":{"rendered":"\n

Table of contents<\/a><\/strong><\/p>\n\n\n\n

  1. Smart content structuring<\/a><\/li>
  2. Experimentation as the mother of innovation<\/a><\/li>
  3. How entities make your content modular<\/a><\/li>
  4. This is how the knowledge graph-native content works<\/a><\/li>
  5. What should I do when working with different CMS systems?<\/a><\/li>
  6. What are the metrics used in the SERP analysis process?<\/a><\/li>
  7. How to deal with multiple similar entities or many entities in general?<\/a><\/li>
  8. What if I don\u2019t have keyword data to deal with?<\/a><\/li>
  9. How is the SEO Add-on different compared to the WordLift plugin?<\/a><\/li><\/ol>\n\n\n\n

    <\/p>\n\n\n\n

    Start performing Semantic Keyword Research with the New SEO Add-on for Google Sheets\u2122<\/h3>\n\n\n\n
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    Get Started<\/a><\/div>\n<\/div>\n\n\n\n

    <\/p>\n\n\n\n

    Smart Content Structuring<\/h2>\n\n\n\n

    Smart content structure is what enables quality omni channel user experience<\/strong> and it is the foundation of building a competitive content strategy. Having structural standards in the process of creating content is necessary because otherwise search<\/a> engines like Google<\/a> will not be able to grasp our content and algorithmically redistribute it afterward.<\/p>\n\n\n\n

    As a content writer, you surely know how demanding the content analysis process is and how important it is to match the right intents that your readers have while guiding them in the user buyer journey. If you lose them in the first phase, you are done. Everything stops there. There is no second chance given because searchers rarely return to websites that do not solve their problems and provide the right information back.<\/p>\n\n\n\n

    Experimentation As The Mother Of Innovation<\/h2>\n\n\n\n

    We at WordLift go through the same problems in the content writing<\/a> process as you do. We understand your frustrations, we simply encounter the same content and idea gaps and have trouble generating starting ideas for writing. That is why we often experiment with various external and internal tools that aid our writers in the content creation processes and what worked for us and our clients were entity-oriented content models where content knowledge-native structuring was the secret weapon in outperforming ours but also our clients\u2019 competitors.<\/p>\n\n\n\n

    How Entities Make Your Content Modular<\/h2>\n\n\n\n

    Entities combined with a knowledge graph<\/a> approach and JSON-LD<\/a> representation is what aids content<\/strong> findability and portability<\/strong><\/a>. When the data is structured, it can be easily reproduced in another content format, populated in a different database or moved from one place to another in general. According to Aaron Bradley, a well-established knowledge graph strategist world-wide, it is how \u201cwe liberate the meaning of content from its visual representation\u201d. Content structure is the physical organization of content within systems. It is as simple as that.<\/p>\n\n\n\n

    This Is How The Knowledge Graph-Native Content Works<\/h2>\n\n\n\n

    We are great fans of entities<\/strong> because they work better when they are connected<\/strong>. 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<\/a> envisioned more than 20 years ago.<\/p>\n\n\n\n

    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<\/strong> with an end goal to bring impact to our clients\u2019 SEO<\/a> strategy<\/strong>:<\/p>\n\n\n\n

    1. We gather keywords from Google Search Console, communication strategies or any keyword research process in general, just to form the basis for analysis;<\/li>
    2. 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;<\/li>
    3. 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;<\/li>
    4. Once the most important entities are identified, we build your knowledge graph out of them;<\/li>
    5. Finally, our tool provides a JSON-LD output that can be used on your website.<\/li><\/ol>\n\n\n\n

      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.<\/p>\n\n\n\n

      You can build a Knowledge Graph from a SERP by using SEO Add-On for Google Sheets<\/strong>. To discover how you can do that, watch the video. <\/p>\n\n\n\n

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