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How to Boost your SEO using Structured Data markup

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Discover how Schema.org structured data can help you to :
- skyrocket your SEO and web traffic
- dramatically improve your content visibility in search results
It's never been so easy to implement !

Publié dans : Internet
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How to Boost your SEO using Structured Data markup

  1. 1. [semantic]Marker How to Boost Your SEO Using Structured Data Markup [semantic]Marker
  2. 2. [semantic]Marker Structured data markup is a standard way to annotate your content so machines can understand it. Google can use that data to : • index your content better, • present it more prominently in search results, • surface it in new search experiences. Source text : https://developers.google.com/structured-data/
  3. 3. [semantic]Marker OK… But WHY should I use Structured data ? Reason #1 To skyrocket your SEO and Web Traffic Reason #2 It’s never been so easy to implement ! Screenshots courtesy of Jarno Van Driel, A Website's Structured Data Success Story
  4. 4. [semantic]Marker Semantic Marker provides automated and reliable structured data markup of your content, so that search engines can really understand it. What does Semantic Marker? Would you eat Coackroach or Cricket chips ? Cricket : Sangakkara confirms retirement You should try Cricket cell phones Entity: Cricket (insect) Type : Theme / Insect Entity: Cricket Type : Theme / Sport Entity: Cricket Wireless Type : Company / Telecommunication
  5. 5. [semantic]Marker How it works – 1/ Article submission SEO : How to avoid the Panda and Penguin effect ? Google has released its latest algorithmic filter yesterday, a search feature meant to stop sites with poor quality content from working their way into Google’s top search results… « »
  6. 6. [semantic]Marker How it works – 2/ Content Analysis Semantic Marker identifies named entities, disambiguates them through advanced contextual analysis and connects them to reference pages (Wikipedia / Wikidata). SEO => Thing => https://en.wikipedia.org/wiki/Search_engine_optimization Panda => Thing => https://en.wikipedia.org/wiki/Panda_(Google) Penguin => Thing => https://en.wikipedia.org/wiki/Penguin_(Google) Google => Company => https://en.wikipedia.org/wiki/Google Algorithmic => Thing => https://en.wikipedia.org/wiki/Algorithm Quality => Theme => https://en.wikipedia.org/wiki/Information_quality
  7. 7. [semantic]Marker How it works – 3/ End result JSON-LD Structured Data File <script type="application/ld+json">{"@context":"http://schema.org","@type": « Article","@id":"#main","mainEntityOfPage":"http://semanticmarker.com/pages/example.html","headline":"SEO : How to avoid the Panda and Penguin effect","description":"","about":[{"@type": "Thing","name": "Seo","sameAs": ["https://en.wikipedia.org/wiki/Search_engine_optimization", "https://www.wikidata.org/wiki/Q180711"], "additionalType": "https://en.wikipedia.org/wiki/Category:Internet_marketing"},{"@type": "Thing","name": "Panda","sameAs": ["https://en.wikipedia.org/wiki/Google_Panda", "https://www.wikidata.org/wiki/Q4115750"]}, {"@type": "Thing","name": "Penguin","sameAs": ["https://en.wikipedia.org/wiki/Google_Penguin", "https://www.wikidata.org/wiki/Q1537688"]},{"@type": "Corporation","name": "Google","sameAs": ["https://en.wikipedia.org/wiki/Google", "https://www.wikidata.org/wiki/Q95"]},{"@type": "Thing","name": "algorithm","sameAs": ["https://en.wikipedia.org/wiki/Algorithm", "https://www.wikidata.org/wiki/Q8366"]}],"author":{"@type":"Organization","sameAs":"http://semanticmarker.com/ "},"datePublished":"2015-09-14"},{"__comment":"Structured data by SemanticMarker.com | en-8e"}</script> Invisible to humans, File size: 1 - 2 Ko
  8. 8. [semantic]Marker How it works – 4/ Implementation API call is submitted when page is first displayed <?php require_once('SemanticMarkup.inc.php') ; $request = new SemanticMarkup('http://semanticmarker.com/api?api_key=your_key&url=your_url $request->execute(); $json_file= $request->getResponseBody() ; ?> You save the JSON-LD file on your server
  9. 9. [semantic]Marker Semantic Marker – Key figures - 3 millions entities managed (persons, companies & organizations, places, events, products, news themes, ….) - 90 billions elements for contextual analysis - 1.8 millions web pages analyzed - 4 years of development - 2 languages: English + French
  10. 10. [semantic]Marker Contact Fred LAURENT fred@semanticmarker.com Tel. +33 (0)6 17 99 32 21 http://semanticmarker.com/en
  11. 11. [semantic]Marker More information on Structured Data… The Future of SEO - Structured Markup - Builtvisible https://builtvisible.com/the-future-of-seo-structured-markup/ Pages with Schema markup rank 4 positions higher in search results http://searchenginewatch.com/sew/study/2341710/pages-with-schema-markup-rank-4-positions- higher-in-search-results-study A Website's Structured Data Success Story - SEO Skeptic www.seoskeptic.com/a-websites-structured-data-success-story/