As technologies around us continue to grow and advance at a mind-boggling pace, the third generation of the internet — or web 3/web 3.0, as it is popularly called — is already taking shape. The “interactive web” or web 2.0, which has served us well for over two decades — taking a giant leap from the basic, read-only content of the early days of the world wide web — has peaked. The need for a more advanced and smarter alternative is being felt acutely.
That’s exactly the space that web 3, which is equipped to enable new AI processes, decentralize content regulation, and foster the creation of a metaverse, is poised to fill. Apart from encouraging decentralized protocols, mainstream cryptocurrencies, and diluting the concentration of control in the hands of digital behemoths like YouTube, Amazon, or Netflix, it is also slated to transform the way users interact with search engines and search engines analyze and rank content.
Since AI is at the heart of everything Web 3 seeks to do differently, it is also believed to play a key role in determining SERP rankings going forward. What does that mean for businesses, digital marketers, and content creators? And how can AI be leveraged to make content rank in Web 3? Let’s find out.
What is Web 3?
To be able to fully grasp the impact of Web 3.0 — or Web 3 as it is commonly known — on search rankings, it’s imperative to understand what this new iteration of the internet will entail. Primarily, Web 3 will decentralize data to ensure faster delivery and a far more personalized experience for the end user. It is powered by an ecosystem of cutting-edge technologies such as artificial intelligence and machine learning. The blockchain security system will also play a pivotal role in making sure user information is safe.
All of this will translate into unparalleled user utility characterized by decentralization and openness. The semantic web will also be a key feature in web 3, which will contribute to its ability to interpret the context of data for the end user. Simply put, Web 3 is poised to be far more competent than its preceding variants in delivering more relevant and accurate search results to the user.
The decentralization will also mean that user data will no longer be limited to the hands of Tech behemoths like Google, Microsoft, and Facebook, who make enormous profits from it. The average user will also be compensated for their data and time. Yes, come Web 3, and users will have greater ownership of their data and the ability to sell it to advertisers for a profit while retaining privacy and ownership as they deem fit.
All in all, Web 3 is a user-centric version of the internet, focusing on better experience and autonomy for anyone and everyone who accesses the internet. Here are some of its key features:
· Open: It is built on open-source software, offering greater transparency
· Empowering: It eliminates intermediaries, thus allowing users to interact publicly and privately as they see fit
· Control-free: Users and providers alike can engage with whomever they like without needing permission or access from a controlling organization aka the reigning Tech titans
· Accessible: With Web 3, the internet will be available to everyone, everywhere as the Internet of Things will make expand the scope of internet-connected devices beyond computers and other gadgets like smartphones and tablets
How Content Rankability Will Change with Web 3
All of these changes will invariably have an impact on the way content is analyzed and ranked by search engines. The foremost is that AI analysis will empower search engines to create content clusters by grouping together similar objects. This will, in turn, boost search performance and user experience. Here are some aspects of Web 3 that will impact the way content is searched for and ranked:
· Cluster content analysis: The AI-powered Web 3 will be able to seamlessly bring together valuable pillar content resources by grouping together similar objects through cluster content analysis. This will impact SERP results, and by extension, SEO practices
· Voice search: Voice search will be integrated into Web 3, which will be a game-changer for the way pages are ranked because it is a proven fact that voice search queries are markedly different from the ones that are typed in. Content creators and SEO specialists will have to leverage voice search to bolster their SEO strategy with longtail keywords and exact queries so that their page ranks in the top three results of a given question. This is imperative because voice search results won’t throw up multiple pages of search results. This mean, not being in the top 3 results is as good as not existing
· Analyzing data like a human: The semantic web element of Web 3 will allow it to scan and analyze the content the way the human brain does. It will focus on understanding the meaning and context of the content, making user intent more pertinent to search results than ever before
· Search history-driven results: Web 3 intends to act as a user’s personal assistant, and therefore, your search history and internet usage patterns will play an integral role in offering more individualized search results
· Integration of SEO and social media: Come Web 3, SEO and social media will no longer be two separate channels of digital content creation and marketing. The search results for any query will now be determined by a user’s social media friends, demographics, and personal preferences
How You Can Use AI To Make Content Rank
Now that you understand what web 3 is and the role it is slated to play in transforming the way content is created, analyzed, and ranked, let’s come to the question that got us here in the first place: what role can AI play in making content rank better in Web 3? Since AI is one of the key technologies powering the new, upcoming version of the internet, it only makes sense that it plays a role in the process of content creation as well. Here’s how: the combination of Web 3 and AI will make our search bots much closer to humans, making SEO more relevant and useful. Content quality and freshness will be the king of the game.
These are some of the areas in Web 3 SEO, where AI can help:
- AI can help make content more structured and scannable, making it easier to be consumed and understood by humans who are increasingly low on attention span and consuming information of the go
- It can be used to validate the quality of content rather than just generating mounds and mounds of content, hoping that some of it ranks and resonates with the audience. The big data simplified by AI can offer astute insights into what it is that you need to do the make your content rank
- It can offer context for creating content that is relevant to searches based on location, demographics, and personality – all key elements that Web 3 will take into account in its search results
- Lastly, it will help cull out plagiarism, and low-quality and irrelevant content, helping you create relevant, contextual content that aligns with user intent
The bottom line is, the combination of Web 3, SEO, and AI will lead to a much more powerful, faster, and relevant internet experience for all of us. Since the arrival of Web 3 is now a given, it only makes sense for every digital creator out there to embrace technologies like AI for creating powerful, contextual, high-quality content to get ahead of the curve and remain on the top of SERP rankings.
