How search engines work in web 3.0
Web 3.0 uses indexing parameters that extract data from various Internet networks, meaning information is decentralised. Web 3.0 is more individual-based than the Web 2.0 search engine, which is community-based. Web 3.0 search engines feature a public database with open access for everyone. Whereas centralised databases like Google and Yandex feature centralised databases with limited access to the public.
Web 3.0 uses the following key properties:
The semantic web: By understanding each individual’s data, technology companies can gain insight into context. This has been a significant push for Google for some time, particularly with the respective launches of Hummingbird and RankBrain. The aim is to go beyond the dictionary definition of each word and comprehend what consumers are using phrases to mean at that moment.
Internet of things: A true defining feature of Web 3.0 is the proliferation of the Internet of Things (IoT) ‘smart’ devices. Examples such as Amazon Echo are well-known, but there are plans to add Internet connectivity to every aspect of our lives.
When it comes to information, we still don’t have it quite right. For example, consider when you’re thinking of buying a new electronic device. Instead of going directly to the deal, we’ll conduct multiple searches in different places and read reviews, talk to people who have used the product before via social media, and so on. And that’s just for one product!
Web 3.0 will take this even further. Instead of conducting multiple searches in different places, one prompt would be sufficient to pull together all the relevant information from across different databases and organise it based on your query and provide the best options in one interface.
With the rise of voice-based digital assistants, the way people search is changing.
Search marketers need to keep up. The first step is to ensure that all content is clearly labelled for search engines. Schema mark-ups remain just as vital as they have been for the past few years.
The core objective when we create new content should be to facilitate its serving to users, no matter where they are or which device they are using. Keyword targeting still matters, but we must maintain a more nuanced idea of what our consumers mean when they type something into Google or Bing.
Debdut look after the technical side of the business, SEO strategy, consultancy, and building an interactive dashboard with Google data studio and Tableau. Outside work, he enjoys watching cricket and cooking over the weekend. Also, he loves coding with Python when he has time.