How to Write a Blog Post With AI: What 80% of Bloggers Do

How to Write a Blog Post With AI

You know that feeling when your printer works perfectly until you need it? That was me trying to write blog posts.

I’d stare at a blank screen, type three words, delete two, and then suddenly find myself watching cat videos. Classic.

Then I found AI writing tools. “Perfect!” I thought.

But it wasn’t. My first AI-written posts sounded about as natural as my dad trying to use emojis. 😎 (He sends this to say “good night” 🤦‍♂️).

But the good news is about 80% of bloggers now use AI and make it work. After lots of trial and error with my content strategy, I’ve figured out the secret sauce.

What You’ll Learn Today 🎯

🤖 How to write a blog post with AI without sounding like a robot

✍️ Simple prompts that work

📝 Quick ways to make AI content sound like you

⚡ Write posts in 60 minutes (not 6 hours)

🎯 Save money using affordable AI tools that work better

No fancy jargon, no complex theories – just simple steps that work. Ready to make AI your writing buddy? Let’s get into the topic for today!

Understanding AI’s Role in Blog Writing

The blogging world has shifted dramatically with AI tools. Many bloggers started using AI for various aspects of content creation, from research to writing.

After spending months learning AI writing for blogging, I’ve discovered there’s more to the story than just pushing a button and getting perfect content.

Many new bloggers jump into AI writing with misconceptions. They expect instant, perfect content at the push of a button.

But all they get is boring, no human experiences added, and robotic-sounding content.

No matter what tool you use, you still need to edit the content and add your unique experience because people won’t like a bunch of text written by a robot.

They want content that emotionally connects with them and solves their problems.

Let’s break down what AI really means for blogging with a clear look at myths versus reality:

MythReality
AI writes perfect content instantlyAI provides drafts that need human editing
AI eliminates the need for writersAI is a writing assistant, not a replacement
AI-written content lacks originalityAI can help brainstorm unique angles, but it needs human creativity
AI tools are too expensiveBoth free and paid options are available, from LLMs to specialized writing tools
AI content is easy to spotWell-edited AI content blends seamlessly with human writing

When it comes to the benefits, AI shines in several areas. What used to take hours now takes about 60 minutes for me to write. It helps me speed up my process and overcome writer’s block.

Here’s how bloggers commonly use AI, based on my experience and industry data:

  1. Content Research: AI analyzes trending topics and finds relevant statistics. It cuts research time by organizing information quickly.
  2. Outline Creation: Structure posts with logical flow (40% of bloggers use this). And, it generates multiple content angles in minutes.
  3. Headline Generation: Creates multiple title options (41% of bloggers rely on this).
  4. First Draft Writing: It speeds up the first draft creation process and prevents writer’s block.
  5. SEO Optimization: Suggests relevant keywords and improvements in real time.
7 Ways to Use AI in Your Blogging Workflow

But there are limitations too – AI can’t replace human experience, emotional connection, or deep industry expertise. It needs fact-checking and verification.

AI content requires human oversight for tone and brand voice. It may sometimes generate outdated information.

So, the content still needs your personal touch. When I first started, my AI-generated posts sounded robotic. The game-changer was learning to edit and infuse my voice into the content.

If you’re new to AI blogging, remember that the key isn’t just using AI, but using it strategically, it’s about finding the right balance.

I have learned through trial and error, that AI works best as a complement to human creativity, not a replacement.

Essential AI Tools for Blog Writing

Prioritizing SEO Tools for Content Research
Prioritizing SEO Tools for Content Research

Starting your AI blogging journey doesn’t require a huge investment. During my first months of using AI in blogging, I experimented with both free and paid tools.

We can categorize the AI writing tools into three main categories.

Large Language Models (LLMs): These are your foundation tools like ChatGPT, Claude, and Google Gemini.

I started with these after realizing I was spending more money per post on specialized AI writing tools. These LLMs are good at generating drafts, doing research, and ideation process.

The free versions work well for basic blog writing needs. But if you want to publish more blog posts, you need a paid plan.

Specialized AI Writing Tools: Platforms like Jasper, Copy.ai, Rytr, Simplified, and WriteSonic focus specifically on content creation.

Yes, they are powerful, but they are pricey. My experience showed they’re worth considering only if you’re publishing multiple posts daily or need specific features like brand voice settings.

AI-Powered SEO Tools: These SEO copywriting tools combine content optimization with AI writing capabilities.

Tools like SurferSEO are great at creating optimized content, doing competitor analysis, and providing SEO scores by analyzing your content against your competitors.

When choosing your AI toolkit, focus on these crucial factors: Content quality comes first – test each tool with a sample blog post before committing.

I learned this the hard way after subscribing to a service that produced generic content. Pricing should align with your publishing frequency.

Monthly subscriptions only make sense if you’re creating content regularly. Integration capabilities matter. I abandoned several powerful tools simply because they were too complicated for daily use.

For those just starting, I recommend this simple stack:

  1. ChatGPT or Gemini for initial research (free)
  2. Claude to write drafts.
  3. A basic Grammarly account for editing (the free version works well).
  4. AnswerThePublic for topic research (free tier available)
  5. One mid-tier SEO tool for optimization (worth the investment, but I will keep this as an optional)

Remember, expensive tools don’t guarantee better content. My best-performing posts often start with LLMs and improve through careful editing and optimization.

Focus on mastering the tools you have rather than chasing every new AI solution that hits the market.

Crafting Effective AI Prompts for Better Blog Posts

Crafting Effective AI Prompts for Blogs

Poor prompts lead to poor content – I learned this lesson the hard way. When I first started using AI for blogging, my prompts were vague and unfocused.

As a result, I got generic content that took me hours to edit the content.

The foundation of good prompt engineering starts with understanding the three key elements: context, task, and format.

Think of it like briefing a writing assistant. You wouldn’t just say “Write about email marketing” – you’d provide specific details about the angle, audience, and desired outcome.

As Ryan Robinson from RightBlogger notes,

“Most bloggers haven’t figured out quite what to make of AI yet… those getting the strongest results have figured out how to weave these tools into their creation process in ways that save time while still keeping themselves front and center.”

Let me show you the difference between poor and effective prompts through real examples I’ve used:

Poor prompt: “Write a blog post introduction about email marketing”

Now look at this screenshot, I used Claude AI to generate the introduction.

Results for generic prompt screenshot with AI-text highlighted

You can see that I highlighted some words that sound robotic and do not add any value to the content.

I also copy-pasted the content that I generated into BrandWell’s AI content detector to check if AI wrote it, and you can see the results below,

AI Detection Screenshot

It sounds robotic, right?

And, now let’s see how a good prompt works.

Good prompt: “You are an expert blog writer and SEO content editor with a broad knowledge base who creates optimized content for an audience of internet users. Your writing style is clear, and engaging. Now write a blog post introduction about email marketing around 200 words for small business owners. Focus on their challenge of limited time and resources. Write at an 8th-grade reading level and use a conversational tone with specific examples. Use a first-person perspective. Strictly avoid industry jargon, fluff words, and complex sentences.”

Look at the screenshot,

Testing a good prompt for blogging screenshot

I also used the same detector to check how it sounded. Now the results are much better. Though some sentences are highlighted in red, it passed the AI detection test.

AI content passed AI detection test screenshot

You can note that from the screenshots, I haven’t changed any of the texts, only the prompts were different. Thus, we can conclude that the better the prompts are, the better the output.

Also, though the content passes AI detection, it needs human editing because if you look carefully at the content generated with a good prompt, the AI writes, “I am working with the blogger Sarah”.

That’s not actually true in my case. So the content needs editing and adding personal insights.

Through months of testing, I’ve identified these prompt structures that consistently work:

For Research:

“Analyze [topic] and provide:

  • Key trends in [year]
  • Notable statistics
  • Expert opinions
  • Common misconceptions”

For Outlining:

“Create a detailed outline for [topic] that:

  • Addresses search intent for [keyword]
  • Includes H2 and H3 sections
  • Lists key points under each section
  • Suggest relevant examples
  • Provide relevant semantic keywords”

For Writing:

“Write a section about [topic] that:

  • Matches [specific tone/style]
  • Includes [specific elements]
  • Addresses [specific audience]
  • Solves [specific problem]”

The biggest mistake is being too vague or too restrictive. Your prompts need enough detail to guide the AI and flexibility to allow for creativity.

Remember, the goal isn’t to create perfect content immediately – it’s to establish a solid foundation you can enhance with your expertise.

After refining my prompting process, I’ve cut my editing time in half. The key is to treat the AI tool like a collaborative partner rather than a magic solution.

Good prompts lead to better first drafts, which means less time fixing and more time enhancing.

Step-by-Step AI Blog Writing Process

Create Quality Blog Posts With AI
Create Quality Blog Posts With AI

I spent hours and hours struggling to organize content in a better way that sounds good for readers. Now, following a structured blogging checklist, I can create quality posts in about an hour.

Here’s my proven process for writing blog posts faster using AI tools.

1. Research and Planning Phase

First, I feed my target keyword into AI tools to understand search intent. I ask the AI to analyze top-ranking posts and extract key themes.

For example, when researching “email marketing tools,” I don’t just list tools – I dig into user pain points and solutions.

The AI helps gather statistics and quotes, but I always verify them from original sources.

A mistake I made early on was blindly trusting AI-generated stats. Now, I use AI to find potential sources, and then manually check each one.

2. Creating Content Structure

With research in hand, I use this AI prompt for outlining.

“Create a detailed outline for [topic] that:

  • Addresses search intent for [keyword]
  • Includes H2 and H3 sections
  • Lists key points under each section
  • Suggest relevant examples
  • Provide relevant semantic keywords”

I learned that detailed outlines save an enormous time during writing. The AI helps identify logical content flow and potential gaps in coverage.

3. Writing the First Draft

Here’s where my content generation workflow shines.

  1. Generate section-by-section content using specific prompts.
  2. Include transition sentences between sections
  3. Add personal experiences and insights
  4. Insert relevant statistics and examples
  5. Place internal and external links naturally

The key is generating content in smaller chunks rather than asking AI to write the entire post at once. So that it gives me better control over quality and helps maintain consistency.

4. Editing and Refinement

Raw AI content needs a human touch. My editing process focuses on:

Content Enhancement:

  • Adding personal anecdotes and strengthening examples
  • Deepening insights and removing generic statements
  • Improving transitions between sections

Voice and Style:

  • Adjusting tone to match my brand
  • Adding conversational elements
  • Varying sentence structure
  • Removing common AI patterns
  • Incorporating natural language

Technical Optimization:

  • Checking keyword placement
  • Verifying facts and sources
  • Improving readability
  • Formatting for scanability
  • Optimizing for featured snippets

5. Quality Control Checklist

Before publishing, I run the content through this final check:

  1. Does it solve the reader’s problem?
  2. Are all facts verified and current?
  3. Does it include unique insights?
  4. Is the content structure logical?
  5. Are all links working and relevant?
  6. Does it match search intent?
  7. Is the tone consistent?
  8. Are images and formatting optimized?

The most important lesson I’ve learned? AI content workflow isn’t about replacing human writing – it’s about enhancing it.

It helps me to maintain productivity, so, instead of staring at a blank screen, I focus on adding value to my blog posts to make them more personalized and address the pain points of the users.

Maintaining the Human Touch in AI-Generated Content

Your first AI drafts might sound robotic – I’ve been there. Following blogging best practices, I discovered that maintaining authenticity in AI-generated content isn’t about fighting the technology but working with it strategically.

Enhancing AI-Generated Content
Enhancing AI-Generated Content

According to recent data, while 25% of bloggers use AI for first drafts, only 6% rely on AI for complete drafts.

This gap exists for good reason. In my experience, the magic happens in the personalization process.

Here’s how I infuse personality into AI content:

Personal Voice Integration: I start by identifying my content’s unique elements – specific experiences, industry insights, and lessons learned.

For instance, I share real costs and results when writing about AI tools, like spending per post on premium tools before finding better alternatives. These details add trust to my content and make the content relatable.

Storytelling Framework: I weave in real scenarios Instead of letting AI generate generic examples.

When discussing prompt engineering, I share actual prompts that failed and how I improved them. This approach transforms theoretical advice into practical guidance.

My three-step authenticity process:

  1. Keep the AI-generated structure but rewrite key points in your voice
  2. Add specific examples from your experience
  3. Include challenges and solutions you’ve personally encountered

The balance between AI and human input comes down to knowing when to use each.

I let AI handle:

  • Initial research gathering
  • Basic structure creation
  • The first draft of technical explanations

While I personally focus on:

  • Adding real-world examples
  • Sharing honest opinions
  • Including specific results
  • Providing nuanced insights

Remember, authenticity isn’t about avoiding AI – it’s about using it wisely. In the beginning, I tried hiding my AI usage.

Now, I understand that transparency about using AI while maintaining quality through personal insights creates the best content for my readers.

Conclusion

Well, there you have it – the insider’s guide on how to write a blog post with AI without sounding like you’re selling robot-approved vitamins.

Remember when I thought throwing money at premium AI tools was the answer? Now I’m cranking out better content using free or less expensive tools and smart prompts in just an hour.

Let’s quickly recap what we’ve covered:

  • AI tools are like writing assistants, not magic solutions
  • LLMs can beat expensive tools (save that coffee money!)
  • Good prompts are your secret weapon
  • Human touch turns robot-speak into real content
  • Quality control beats quick fixes

Ready to start your AI writing journey? Here’s your action plan:

  1. Pick one AI tool (ChatGPT or Claude)
  2. Use the prompt templates I shared (no more “write good content” prayers)
  3. Start with one blog post
  4. Focus on adding your voice
  5. Permit yourself to mess up (my first AI posts were hilariously bad)

The best part? Start with the free tools and prompts we covered. Test them out. Play around. Have fun with it.

Do you have questions about using AI for your blog?

Drop them in the comments below. I answer every comment because hey, I remember what it’s like to stare at AI-generated content wondering if it’s written in English or Matrix code.

And remember – AI is your blogging buddy, not your replacement. Now go write something awesome!

Want more blogging tips? Check out my complete guide to AI in blogging. It’s packed with extra tips I couldn’t fit in this post.

FAQs: How To Write a Blog Post With AI

How long does it take to write a blog post using AI?

It varies based on your familiarity with AI tools and topic expertise. With practice, you can draft content faster than traditional writing. I spend less time on creating and more time on editing and adding my personal insights.

Will Google penalize my AI-written content?

Google focuses on content quality and value for readers, not how it’s created. As long as you edit AI drafts, add personal insights, and verify facts, your content can rank well. Understand how AI works and use it as a writing assistant, not publish a one-click, instant blog post that doesn’t add any value.

Do I need expensive AI writing tools to create good blog posts?

No. LLMs like ChatGPT or Claude can work great for blog writing. I started with premium tools but found better results using LLMs combined with good prompts. Focus on mastering prompts rather than buying expensive tools.

How do I make AI-written content sound more natural?

Add your personal stories, and train the AI model to write like you. Assist it in using conversational language, without industry jargon. Edit AI drafts to match your voice, remove robotic phrases, and include specific examples from your experience. Use AI to create your first draft, not your final copy.

How do I write effective prompts for AI blog writing?

Start with a clear context about your topic, audience, and goals. Include specific requirements about tone, style, and format. Break complex topics into smaller sections. Most importantly, review and refine your prompts based on the results you get.

Can AI help with SEO optimization?

Yes, AI can help you do keyword research, provide semantic keywords, suggest topic clusters, and ensure content clarity. However, always verify AI suggestions against current SEO best practices and focus on writing for humans first, and search engines second.

What’s the biggest mistake to avoid when writing blog posts with AI?

Publishing raw AI content without editing or adding personal insights. AI should enhance your writing process, not replace your unique voice and expertise. Always fact-check AI-generated information and add your own experiences to make content valuable.

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