Take advantage of your editorial content to drive sales.
Editorial content can help to inspire, reassure and guide your customers during their purchasing journeys on your website.
Sensefuel is able to crawl your website to capture your editorial contents, their metadata, and then organize them per typology or to offer filtering options.
These contents can then be displayed within the search layer when the user search match with the contents (JavaScript tag deployment)
Contents are also available in the Discovery API to enable you triggering and displaying them in different contexts such as: search suggestion, search result page, home page, product detail page, product listing page, etc.
Sensefuel uses schema.org's editorial content data structure.
What type of content is possible to crawl ?
- buying guide
- recipes
- articles (news)
- tutorial
- store/shop information
- blog post
- etc.
What type of contents is not usable ?
- banners
- ads
- product description
- FAQ
- images
- etc.
Retrieval of the list of editorial content to crawl
The list of editorial content to retrieve can be obtained via two main methods :
- Via an XML « sitemap » (best method)
OR
- By setting up a crawler on one or more HTML pages of the site that contain the list of editorial content (based on the HTML DOM).
Editorial content crawling
On each editorial content identified in the previous step, Sensefuel can then rely on several types of structured data, those recommended are those based on the « JSON-LD » of the page.
The properties expected when using « JSON-LD » are generally:
- type
- description
- name
- image
Additional properties can be crawled depending on the nature / typology of the content to qualify and enrich the data of your editorial content.
ℹ All the properties are listed by https://schema.org which is a micro-data schema used on the Web. Micro-data allows crawlers to grasp the meaning of more accurately indexed pages.
In addition to or to replace data from « JSON-LD » , Sensefuel can use
- the content of the HTML page
- structured data such as micro-data (or Microdata) that use HTML attributes such as « itemprop » and « itemtype »
-
RDFa, « Resource Description Framework in Attributes », using the HTML attributes « property » and « typeof ».
Examples :