AI Marketing

AI Marketing | Sep 18 2020

GPT-3 Exposed: Behind the Smoke and Mirrors

Here's why GPT-3 can't produce expert-level, long-form content that's reliably free of bias or discrimination.

AI Marketing | Sep 08 2020

Natural Language Generation vs. Article Spinning

Learn the difference between natural language generation and article spinning and why you should avoid article spinners at all cost.

AI Marketing | Sep 01 2020

MarketMuse First Draft vs. GPT-3

See if you can tell the difference between content created by MarketMuse First Draft versus that generated by GPT-3.

AI Marketing | Jul 02 2020

The Natural Language Generation Landscape

This post looks at the handful or organizations offering commercial natural language applications of interest to content marketers.

AI Marketing | Jun 26 2020

Machine Learning for eCommerce and SMB (Guest Post)

Here are five ways this artificial intelligence technology helps boost conversions, increase engagement and win more sales.

AI Marketing | Jun 18 2020

The Benefits of Natural Language Generation

Natural language generation offers a number of benefits to those organizations willing to take the lead and employ this cutting-edge technology.

AI Marketing | Jun 04 2020

Natural Language Generation in Content Marketing – Two Sides of a Coin

A look at two vastly different approaches to using AI for content generation. One that's used for good and the other? Not...

AI Marketing | May 28 2020

AI Content Generation Comparison

Take a look at the type of quality you can expect from today's leading natural language generation platforms. The results might surprise...

AI Marketing | May 26 2020

Why AI Generated Content Won’t Break The Web

An investigation into one of the most well-known purely AI content blogs and its impact nearly one year later. The results may...

AI Marketing | Jan 30 2020

The Impact of AI on Content Strategy

Discover how artificial intelligence is changing the face of content marketing and whether content strategists will eventually be replace by machines.

Rahul Varshneya

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