The Transition of Traditional Websites to an AI-Driven Website Core

Jacob DelHagen
3 min readApr 15, 2020

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Review of SherloQ, powered by IBM Watson

There are three types of AI cores being used for artificial intelligence (AI) and machine learning:

1. Microsoft AI core

2. Amazon AI core

3. SherloQ AI core

The Microsoft AI core is designed for inter-office applications versus actual website data. It can be crafted and engineered to fit the traditional website with a large amount of labor, mainly due to the prolific use of the LAMP stack which makes this candidate unlikely.

The Amazon AI core is definitely more robust and has a lot of key features. This is typically designed for data scientists and developers, and when I say developers, I mean machine learning developers. Amazon Web Services (AWS) is also widely used by DevOps. This is definitely much more of an enterprise type use case and, in fact, requires an internal team to work on i

The SherloQ AI core, powered by IBM Watson, is incredibly advanced and designed to bring AI to the mass market. It’s primarily designed for marketers, SEOs and traditional website developers but, with its easy integration with most websites, it really can be used by anyone.

SherloQ with IBM Watson — AI Driven Websites Loop Example.
Example of SherloQ with IBM Watson Website Core

With all three of the cores, SherloQ is the clear leader in making the next generation of AI-driven websites possible. This is mainly because it’s easy to install and interfaces with the end-user’s customer data, giving businesses access to machine learning through a simple app connected to their website. While most of these customers typically work with an agency or a web developer, this product works very similarly to how a graphical interface would be used on a personal computer (except you’re training an advanced AI). SherloQ makes the AI technology available to practically anyone who has a website.

Some of its key features include intelligent identification of high-converting landing pages, additional first-party keywords not provided by Google, and insights which tell you more about what the consumer is thinking throughout the buying journey. SherloQ also creates efficiencies in digital media ad spend by using predictive scoring of digital ads based off of the leads that come to the website, instead of what’s referred to as third-party generic data.

These are extremely powerful features for the business or marketer to understand: what the website is doing online in a simple manner, as well as allowing the website to do the work for them very similarly to how a personal computer works in today’s world. We won’t go as far as saying that this is a “thinking website” but the next generation is getting closer.

Some of the more advanced tools include an Ad Rank score that instructs Google to buy the most profitable ads. There are further features to the product, such as raw exports of data which gives you visibility into paid and organic search leads, not just traffic.

SherloQ also provides an additional machine learning layer that is able to begin predicting how well ads or landing pages will perform based on Watson’s AI.

There is also a significant data compliance and brand visibility dashboard and customized machine learning capabilities for use in enterprises, such as automotive brands and dealerships.

In the end, SherloQ’s AI core is designed to change how a website operates and works in today’s world.

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Jacob DelHagen

I am #Human and Author of the Book Modern Propaganda. I Train and Write about AI, Art, and Technology. - Call Me Jake