Using Artifical Intelligence (AI) Tools for writing a blog post

This post was originally written in August 2020, and the publishing date reflects the date at the time of writing. This post was updated in February 2022.

Earlier this week, I read a post about the approach used by some content writers to create so called SEO-optimized blog posts. The process, the post mentioned, is as follows:

a. Select a ‘popular’ topic, such as “how to stay productive during extended lockdowns resulting from COVID-19” b. Use some tool to create an outline. c. Scout for similar articles, top posts, etc. d. Use a Keyword tool and identify patterns : wordcount, images, specific keywords or strings, outbound links, etc. e. Optimize for SEO using alt tags for images, meta tags, etc. While some use the above technique in a fair manner, others use shadier versions of the above technique. They may create multiple variations of the same post, use keyword stuffing, and the likes.
Using AI tools to create blog post
Using AI tools to create blog post

Putting the tools to use

I thought of using the above technique for creating a brand-new post for this blog. In order to do that, I used the following tools: Frase AI tool for creating the list of keywords and phrases. Otter.ai for narrating the raw draft of the post, and using speech to text for converting to written post. IaWriter for cleaning up the raw draft of the blog post. Ink App for tweaking the text for grammar, keywords, spelling, and readability. The whole process took me nearly 2.5 hours for a 1,000 word post. I am confident that by standardizing the process, I may take about 90 minutes end to end, for the post.
Mapping the timeline taken for writing the blog post.
Mapping the time taken for writing the post
using Ink App for optimizing blog post
Using Ink App for optimizing blog post


This post was updated on 2022-03-05
Published
Categorized as Writing