ChatGPT came out in November of 2022 and changed a lot of things for creators, overnight. Andy and I started using AI tools in our content creation process straight out the gates. We’ve seen (and made) a lot of the biggest AI blogging mistakes, ourselves.

We’ve also learned what works and what doesn’t. We’ve honed our own AI blogging process into a speedy workflow that uses the tools we’ve made inside RightBlogger, to create first drafts of long-form, SEO-optimized blog posts that rank & get traffic faster. We’ve built tools like the YouTube Video to Blog Post Generator that let’s us quickly repurpose videos into actionable written content for search engines.

However, we also know firsthand that the race to create (more) great content and attract a wider audience, is fraught with pitfalls. It’s easy to stumble into seemingly subtle mistakes that can undermine your game plan. Here’s a rundown of the seven most common AI blogging mistakes you should avoid when using artificial intelligence tools in your content creation process.

Now, let’s take a closer look at each of these AI blogging mistakes and examine how to avoid them in your own content creation process.

1. Over-Reliance on AI Tools

Have you ever read something on a blog, publication, or website and it just felt… off? Like the writer just repackaged a generic template and used a bunch of words that’d never come up in a real human-to-human conversation? That’s often the result of over-relying on AI tools.

These tools are fantastic for creating content faster, but they’re also in their infancy. Most AI-generated first drafts, no matter how detailed your instructions, will lack the personal touch and vibrance that distinguishes truly compelling content from the painfully average.

Why this AI blogging mistake is a problem:

  • Lack of Personality: When you let AI handle everything without weaving yourself into your content, it’s almost guaranteed to lack your unique voice and style. Features like RightBlogger’s MyTone can help a lot, but there’s no escaping the need to embed your take on a topic, into the creation process. Don’t forget, your readers are going to feel connected to you because of your unique perspective, not the “opinions” of AI technology.
  • Generic Delivery: If you’re using AI to create video scripts, podcast scripts, or any other content that requires a personal delivery of the AI writing you generate, relying too heavily on the words AI chooses can make your delivery feel detached and impersonal.

The Solution: When I first started experimenting with weaving AI tools into my writing process, I noticed right away that my personality wasn’t shining through the way it used to. It took me a few go-rounds to realize that my readers were missing “me” in my content.

I now use AI to generate ideas and write first drafts of some articles, but the stories, examples, and the voice are all mine. It takes more time than just generating an AI article and hitting publish, but ultimately it still saves me a ton of time compared to starting each new post from scratch.

2. AI Hallucinations (Making Up Facts)

AI doesn’t just flawlessly deliver truth. Sometimes, it completely makes things up.

Ryan Robinson with AI Generated Sunglasses
Here I am with AI-generated sunglasses 😎

This is because many AI models function like advanced autocomplete systems. They can generate seemingly plausible, realistic-sounding, yet entirely fictional information, which can be a major problem if you’re not checking your AI-written first drafts.

Why AI hallucinations are a problem:

  • Misinformation: Obviously, fabricated facts, information, and education can mislead your audience and will damage your credibility in the long run.
  • Fact-Checking is a Must: Every piece of AI-generated content needs to be verified for accuracy. This extra step should be looped into your proofreading process. And while it adds time to your creation process, you’ll almost always still end up saving time.

Personal Example: Early on in my AI tool use, I spotted a suspicious statistic about social media use in an AI first draft. It sounded reasonable, but it didn’t cite the source. After double-checking (before publishing), it turned out to be made up.

3. Not Editing AI-Generated Content (Before Publishing)

As we’ve touched on already, AI Article Writers can kickstart your creation process by drafting content, but it’s important to consider these deliverables a rough first draft—not a final, publish-worthy piece.

Why this AI blogging mistake is a problem:

  • Quality Issues: AI-generated content often needs refinement and leveling up, in order to rise to my high quality publishing standards. Beyond just fact checking, you’ll wanna take time to rewrite some words, sentences, even paragraphs into your own voice. Or perhaps you’ll be inspired by a dry AI section, to pop in with a personal story or anecdote that dramatically improves the impact of your content.
  • Lack of Depth: Without personal insights, stories, examples and revisions that can only come from your deep well of experience in the field you’re writing about, AI content often feels painfully surface-level. If your goal is to forge real, meaningful connections with your audience, it’s going to take your personal touch.

My AI Editing Strategy: I spend a significant amount of time editing every AI first draft I create, but I like this process a lot because I have an existing post structure to work with. Take care to weave in personal anecdotes and relevant examples that reflect your real life experiences & insights.

4. Bulk Posting AI Content

It’s tempting to consider scaling your SEO traffic by flooding your niche with 100s of AI-generated articles overnight, but a word of caution. This is an incredibly risky strategy, and I strongly advise against doing it with any website you care about.

Bulk Posting (AI Writing Mistakes) Example of Duplicate Ryans

Google has affirmed multiple times that there’s nothing wrong with using AI in your content creation process, but that the content does still need to meet “high quality standards” in order to be considered for indexing and ranking.

Bulk publishing of AI content, sight unseen, is almost certainly going to land your site in hot water eventually.

Why bulk AI publishing is a problem:

  • SEO Penalties: Search engines, like Google and Bing, are getting better at identifying bulk-generated content. This can hurt your rankings, as you’ll be subject to a higher risk of manual actions and penalties that can erode any traffic gains you may have experienced at first.
  • Loss of Personal Touch: Mass-produced content inherently lacks the depth and personalization that’s essential to building an audience that shows up to get your expertise on a subject.

The Solution: I’ve found that AI tools do speed up my content publishing process, but that there are limitations I’m willing to accept in order to keep my content feeling great. Spacing out your content publication and investing time in personalizing each piece will significantly boost your engagement and SEO performance in the long run.

Patience, my friend. It takes time to gain traction with blogging, and that’s ok.

5. Lack of Internal Linking

Most AI written articles will miss crucial elements like strategic internal linking, which is essential for both SEO and a better user experience. Internal links offer the opportunity to not only connect your web of content for search engine algorithms, but also provide valuable additional learning opportunities for your readers.

AI Writing Mistakes (Not Internal Linking) Screen Shot Example

Why missing internal links is a problem:

  • Orphaned Content: Without links, the posts and pages on your site won’t contribute to the overall site architecture, and are less likely to rank well in organic Google search results. When you include internal links, you’re giving search engines a signal that each post or page you link to, is important.
  • Poor User Experience: Internal links guide your readers through your website, increasing engagement, session duration, and time on site. If someone reads three articles you’ve written in one sitting, compared to just one, that relationship has a much higher chance of growing.

How I Handle AI Internal Links: RightBlogger has an “Include Links” feature built into the Article Writer tool, and right now we’re working on adding the option to source relevant internal links from your library of web properties in your account.

Including Links in AI Written Content (Screen Shot)

Personally though, I know my content better than anyone else. I always make sure to manually insert internal links into my AI-written drafts, to help tie my content ecosystem together.

6. Creating Content on Unfamiliar Topics

It’s tempting to use AI to cover topics outside your area of expertise (or personal interest), simply because you’ve identified an opportunity that seems promising, but this practice inevitably leads to shallow and often inaccurate content.

Not to mention the fact that even if your AI-generated on topics outside your wheelhouse begin amassing traffic, you’re almost certainly going to burn out at some point. There’s no faking genuine interest for sustained periods of months or years. It’s best to stick with topics you genuinely care about—your audience will feel the love you have for the subject matter you’re covering.

Why this AI blogging mistake is a problem:

  • Lack of Depth: You can’t fact-check effectively if you’re unfamiliar with the subject matter. Plus, you won’t be able to truly go deep into an explanation of a particular process or piece of advice, which will render your content significantly less useful than that of a true expert in the field you’re dabbling in.
  • Audience Disconnect: Readers come to content creators for the unique insights we have to offer, not regurgitated information that can be found just anywhere online. Your informed take is what makes your content useful—lean into it by creating on topics you genuinely care about.

Lesson Learned: Early on in my blogging journey, I attempted starting multiple blogs on topics (like personal finance) that I was barely acquainted with, purely because I saw the potential for dollar signs. The results were always superficial content that failed to attract, let alone retain a real audience. I’ve since learned my lesson and stick to topics where I can provide real value to people, based on my own lived experiences.

7. Poor Prompting of AI Writing Tools

The quality of your AI-generated content depends heavily on the amount of input the tool receives. Vague or lackluster prompts and outlines will almost certainly lead to low-quality AI first drafts.

Inside RightBlogger, we’ve intentionally designed our creation tools to hedge against this AI blogging mistake. We’ve spent many hours curating all the behind-the-scenes prompts, giving a lot of structure and detail to the framework of any content piece you generate with our tools.

That said, there’s no escaping the need to weave in your own personal insights, expertise, and advice into the AI creation process, too. That’s where taking a few extra minutes to add your take into the Additional Instructions field, really pays dividends on the backend when you get a first draft that comes out rockin & rollin.

Additional Instructions for AI Tools in RightBlogger (Screen Shot)

How to avoid this AI blogging mistake:

  • Detailed Prompts: Providing clear, detailed instructions straight out the gates (whether you’re using RightBlogger’s structured approach or OpenAI ChatGPT‘s free-for-all), will dramatically improve your article quality on the first go. You’ll also get more accurate and relevant content, faster.
  • Target Audience, Keywords, and Additional Instructions: Always specify who you’re writing each article for, what the target keyword phrase is (that you’d like to rank for in Google search results), and offer up as much detailed, additional instructions as you possibly can.

Avoid These AI Blogging Mistakes (and Get More Traffic) Today:

Integrating AI into your content creation process can create a major lift in terms of productivity, maintaining a steady stream of content, and even in driving more traffic to your blog over time.

However, making these common AI blogging mistakes can actually send your site in the opposite direction. By avoiding these pitfalls, you’ll set yourself up for success—and make sure that your use of AI enhances, rather than detracts from your goals.

AI can be used to help produce content that’s both efficient to create, and deeply meaningful for your audience. But you have to care.

Remember, the goal is to use AI as a tool to amplify your unique voice and insights, not to replace the personal touch that your audience will value most.