6 Practical Tips for a Viable AI Content Optimization Strategy

6 Practical Tips for a Viable AI Content Optimization Strategy

Publish date
February 23, 2024
Team Marketechy
Let's consider what aspects of AI content optimization require human post-generation input and review a checklist for editing AI-augmented copy.
Table of contents

AI-augmented content marketing has spread globally. By the end of 2023, more than 44% of digital marketing agencies have relied on AI tools in their everyday content production.

That said, AI-generated content is still not viable without a human operator. In addition, Google still penalizes spammy AI-generated content created to manipulate search engine algorithms or mislead users. Your AI content optimization strategy will likely succeed if you recognize the limitations of Gen-AI tools. If so, you'll know what outcome to expect, how to add your professional touch and make your AI-generated text copy resonate with your audience.

What Is AI Content Generation Good for?

GenAI enhances the company's current automation stack and has demonstrated good results with some particular tasks.

  1. Content suggestions. AI chatbots can suggest content ideas, additional or missed outline items, etc.
  1. Spellchecking. ChatGTP, Google Gemini, and similar GenAI software are good at proofreading and spellchecking to catch issues, advise on better phrasing and style.
  1. Readability. Chatbots can immediately instruct you on readability improvements:

  1. Rewriting. Content marketing often enoigh demands rewriting to repurpose some content. For example, you might need to reuse the lead paragraph from a blog article in a social media post. The chatbot can rewrite it immediately while preserving the key takeaways.
  1. Summarizing. Bots are great at generating concise Too Long, Didn’t Read sections (TL;DR) that will expose readers to essential points of your long-form content.

Now, let's cover the limitations frequently overlooked by marketers when they strive to build a viable content strategy upon AI automation.

Understanding Limitations of AI Content Optimization

At this moment, the entire process of AI content creation should be human-supervised – and this is true for any gen AI results in all spheres and areas. So, apart from proper prompts and input, the AI content creation has a crucial final step: AI content optimization.

As an AI tool operator and post-production AI content editor, consider the following:

AI’s Lack of Creativity Resulting in Repetition and Duplication. Chatbots often dwell on repetitive patterns and might reproduce them within a single generation or carry them over to the next iterations. While it’s easy enough to catch the entire duplicated paragraphs, it’s a much more difficult task to identify

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  • and fix the ‘ideas repetition’ when your AI content creation tool keeps rephrasing what’s basically the same sentence on and on. 
  • No Industry Expertise or Niche Data. It often leads to exaggerated estimates and irrelevant facts. In many cases, it will take an expert to recognize such misinformation, so either be (or involve) that expert for the data analysis and check or don’t create content that you can’t verify. Yes, it’s the same old ‘Know what you’re writing about’ but elevated to ‘Know what your AI is writing about.’  
  • Facts and quotes inclusion. GenAI tends to generalize pretty much everything. However, you can instruct it to provide documented facts or citations.
  • Up-to-date information. Hard facts provided in generated text often turn out to be outdated, so keep this in mind, especially if you’re about to write or extend How-To guides.
  • Problems with Sensitive Topics and Biased Stances. The ML models might not recognize them even though developers typically train them in moderated environments.
  • Formatting. Chatbots can’t set the correct formatting for headings, tables, or quotes. Eventually, it is up to a human editor to decide how to make text content well-structured with distinguishable subsections.

Remember these shortcomings when you instruct the chatbot, prompt it on corrections, and edit its final generation.

6 AI Content Optimization Fixes

Now, let’s dive into the human-in-the-loop generated content fixes that you should carry out step-by-step before actually posting it.

1. Analyze the Overall Structure and Keyword Stuffing

Practice shows that ChatGPT or Google Gemini writes decently structured and readable text within the limit of 700-1,200 words. You can prompt the tool to write in pages or sections for a longer piece of content, but keep in mind that repetitions become more pronounced in such a scenario. Anyway, the very first thing you’re going to check is conformity to the basic requirements:

  • Text length
  • Structure
  • Target keyword inclusion (for both the target keyword and semantically related keyphrases).


2. Check for Repetitive Phrases and Off-Topic Parts

While proofreading, detect and correct repetitive expressions like these:

You might also spot off-topic phrases like in the example below.

3. Fact-Check Statistical Data

Double-check any facts about the industry or market, as chatbots typically can't access recent studies that are paywalled or recently discovered. If you have your own empirical data, you must instruct the AI bot on where to plug it into the text and how to comment on it.

4. Correct the Tone of Voice

AI writing assistants rarely can replicate your brand's voice, so you must add it where necessary. Ensure your main title, lead paragraph, and in-text call-to-actions sound proper and engaging. To run quick checks on your brand tone, you may create your brand tone profile with Grammarly Business.

5. Add Meta Tags and CTAs

Remember to compose clear and concise meta titles and meta description texts. Verify with our SEO checklist for on-page content optimization to align those with search engine requirements.

Run additional spelling and grammar checks and review the copy against your SEO content checklist to finalize draft editing.

6. Final Formatting 

Make final tweaks before posting the long read to your blog:

  • Check the Formatting. Make H1-H2-H3 headings, quotes, and list items stand out with proper formatting.
  • Add Table of Contents. Build a table of contents with jump links to make long-form articles skimmable.
  • Cross-link the Text. It will guide visitors to the web pages you wish them to visit and ensure page juice distribution. The latter is essential for the page's ranking growth and accessibility of search engine crawlers.
  • Add CTAs and Takeaways or Conclusions. Depending on the type of content and your purpose, make sure your Call-to-Actions are all in place and your main message gets a conclusion and reiteration at the end. 
  • Optimize Images. Add descriptive ALT text so the page will likely make it to image search and get a featured snippet.
  • Preview Before Publishing. Glance over the article preview. Ensure there are no overlaps and visual elements are properly aligned within the text. Pay attention to font sizes and styles.

And that's about it. Make these fixes regularly depending on your content performance, and your AI content optimization strategy will surely take off.

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