Jeanne Keith Felipe
In the advent of AI, James, and Mike of VexPower offered prompt engineering courses for marketers and service-providers. Most of their website content is written by AI since they already trained some AI models to do so. However, AI still has some weaknesses - being fact-driven, detailed, and SEO-optimized.
They hired me as an editor for their AI-written content for some content fine-tuning. The editing involves adding SEO elements to the content and making it more research-based.
Allow me to walk you through the whole process of transforming the generalized information produced by AI into high-quality content.
My clients would usually select a few topics from their data pool that they want to enhance and optimize. Once the list is assigned to me, I will read and audit the content to know the topic, intent, what needs to be done, and how much research I need to do.
Typically, the AI-written content has structure and a good title but once you read it you'll know it needs some depth. A freshly-made content from their AI model looks like this:
Since the business is a B2B catering to several industries, I needed to know what I'll be discussing in the content. It is the crucial part that AI cannot do at the moment. My research is composed of:
My top goal in research is to help readers get what they want from the content and be able to apply something to what they're working on. Doing the research also gives me an idea of how I want to present the data in my posts, like hook and data sequencing.
Once I have the strategy mapped out, keywords will be researched in Ahrefs and extracted to create the content. Typically, the basis of the keywords is competitor analysis and checking out new potential keywords we can leverage.
The keyword research comes after the topic research to fully grasp the content concept and make accurate keywords to use.
The AI-written content will be extracted from the website and placed in a Google doc since I am more comfortable editing in it. The content will be restructured based on my content flow and remove unnecessary sections that Ai added to meet a specific word count.
At this phase, the AI-written content is checked to squeeze any useful information and truncate some very long sentences which hurts SEO. At this phase, I also decide on what content format will work best for the topic. Title curation is also done to ensure it is SEO-friendly.
This is the phase where the keywords, research, and AI-produced content will be weaved into one content. SEO elements are usually sprinkled throughout the blog, which include:
Once the content has been written, I'll add the images needed for specific sections and the feature image for the blog. This process involved basic image editing using Canva.
Before publishing the content, editing comes on repeat until the desired output is achieved. I use Grammarly to help me with this. It requires around two to three rounds of editing for me to polish the content before publication.
Webflow is pretty easy to use since you can directly edit the content right off the bat upon logging in. Upon uploading the images, the alt-texts must be added to each of them.
All published content will be indexed in Google Search Console to trigger Google to crawl the page and rank it in SERP. Check out the finished content below:
Here are all the contents I've optimized for VexPower:
After a few months of working with VexPower and riding the surge of the AI trend, we managed to keep the traffic growing. A part of that growth is contributed by the high-quality content that I did for them. Here's a representation of that steady growth: