The Basics of a Well Ranked Website

Companies build websites to create an impression on the viewers. You will be doing the same if you wish to build a website. However, it is no longer a hidden fact that Google loves websites that are technically equipped. Technically advanced sites rank the best on Google. However, if you want your site to be on top of such ranks, you need to nail the basics and do everything you can beyond that so that your website’s ranks rise upwards. This article will tell you what you should do so that your website reaches a higher rank on Google searches.

Optimizing is the Key

In the world of today, maximum searches happen through the phone. Hence, you must have a website that is mobile optimized. Suppose you want to retain your business and attract more than expected customers, then mobile optimization is a must. If you hire squarespace ecommerce to build your website, then rest assured that the mobile optimization will be done as well. Considering AMP (accelerated mobile pages) is a must in case of ads and contents. Google catches the AMP version of the page faster.

Slow Sites Fail

However, your site needs to be fast. No one likes a slow running site. Customers lose interest quickly if the site takes a lot of time to load. A slow site will lose both organic conversions and visibility. The speed of the website is one of the major ranking factors of a website. Slow sites have to struggle tremendously to retain users visiting the site. Understanding how and why Google crawls or does not crawl is a must too. It is also important to create a site architecture where the key informational pages are together in the same folder where you have listed your main services and category pages. This plays a major role in improving the organic rankings for the main highlighted keywords initially for some time. When you hire a builder like Squarespace, their online squarespace store will have all the essentials that you will require.

Charles Davis

Sarah Davis: Sarah, a data scientist, shares insights on big data, machine learning, AI, and their applications in various industries.

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