SEO

Web 3.0 and Search Engine Optimization

Although the coolest potential applications of Web 3.0 are potentially achieved when our machines start talking to each other in a smart way, making decisions on our behalf, and suggesting meaningul things based on past data, and our preferences, one of the first steps to get there is simply structuring data in a way that computers can deal with immediately, instead of having to extract meaning and pattern from any piece of text.

Semantic search engines extract meaning by "reading" the text and inferring that France is a country, Nescafe is a coffee brand, and The Dalai Lama is a person. This is great, but requires a lot of computing power, and has a lot of challenges in understanding different kinds of text, and the different meanings the same word can have in different contexts.

The simple way to help search engines "understand" content, is to extract those entities ourselves and give them to the search engine.

Structured data simply means that certain "entities" are tagged in a way that describe them as the entities they are. For example, instead of writing

"I live in Dubai, United Arab Emirates" you can tag the same sentence with tags that make "Dubai" a city, and not just the letters D-U-B-A-I, as follows:

I live in<div class="adr">
  <span class="locality">Dubai,</span>

  <span class="country-name">United Arab Emirates</span>

 </div>

The user will still read the same sentence, but search engines and other sites working on structured data will find your content much easier because your entities are identified. Moreover, you can export your reviews, products, information, and anything you want with ease to other sites that classify certain information.

For example, if your site offers product reviews, and your reviews are tagged properly, other shopping sites or shopping engines will be able to extract the relavant data from you, and thus make your products available without much effort on your part.

This is clearly going to become an essential part of search engine optimization, and as anything else in technology it will only pickup when a large enough number of websites start using it. Then we will witness a transformation of our web experience.

SEO for Images and Videos

Search engines can easily read and process text, although not in natural language yet. They actually "love" text because it can easily help them make sense of the pages they are crawling. The challenge with images and videos is that search engines cannot "read" them, yet.
They rely on the tags, descriptions, and the title of the page to categorize and index images and videos.

How a Bit More Content Means Much More Website Traffic

Let's explore whether or not we can get more website traffic by adding more content to our website. I'll try to make it scientific and later we will tackle the issue from a human perspective.

Create in your imagination a world with the following characteristics:

  • The internet has only two sites: 123marketing.com and ABCmarketing.com.
  • Pages indexed on search engines are two hundred pages, split in half between these two sites.
  • Each page talks about on of the only two topics; marketing or advertising.