Blogging in my own style, expressing my thoughts.
If you scroll through LinkedIn these days, you’ll see endless debates about AI in writing. Some clients reject content because:
- AI detectors say it’s “100% AI-generated.”
- The writing feels mechanical — too many em dashes, repetitive words.
- It lacks originality and human tone.
At one point, even I felt guilty using AI. Was I cheating? Was it wrong?
But after studying how AI works, I realised that the issue is not with avoiding AI but about using it smartly. AI can be a powerful assistant, but the writer’s voice and human touch must lead the way.
Is It Ethical to Use AI for Blog Writing?
From an SEO perspective it’s fine.
Google does not penalise AI-generated content. What matters is following the E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness).
In fact, research shows that Google’s own AI Overviews often use a mix of human and AI-written content. So, the question isn’t “Should I use AI?” but “How do I use it wisely?”
My View on AI Blog Writing Tools
There are many tools — ChatGPT, Jasper, Surfer SEO, Frase, and more. They help with:
- Topic ideas
- Structuring blogs
- Keyword research
- Editing and polishing
- Gathering references
But here’s the truth: AI alone cannot create great content.
If you just type a vague prompt, the output will sound generic. It won’t connect with your audience. For example, I’ve seen websites with 100% AI-written content — they sound polished but soulless. They talk about how “great” the company is, but forget the reader’s pain points. That’s when trust is lost.
So, the trick is: use AI for support, but edit with your own voice.
How I Use AI in My Blog Writing Workflow
I start with the basics: search intent, client details, and a primary keyword.
For example, if the keyword is “SEO tools for the Jewellery industry”, I check:
- Blog titles from search results and ads
- “People also ask” questions
- Related searches
Then I feed this into AI, along with details like buyer persona, location, and funnel stage. AI gives me blog ideas — but I always ask it to justify why each title works. That way, I know which idea is worth pursuing.
Blog Outline & Gap Analysis
Next, I study competitor blogs: titles, intros, headings, tone, images, stats, backlinks.
This helps me spot gaps — areas where I can add more value. Sometimes I do this manually, but AI can also highlight missing points.
Once I know the gaps, I ask AI (like Gemini or ChatGPT) to draft an outline. For example:
“Write a 2000-word blog on ‘10 Ways X Can Enhance Your Strategy.’ For Kerala marketers. Make it SEO-friendly, friendly, and educational.”
AI gives me a structure. I then refine it, ensuring that it matches the client’s voice and connects with the audience.
AI is just another tool
AI is not the enemy. It’s a tool just like a pen, a laptop, or SEO software. The difference lies in how you use it.
For me, AI speeds up research, ideation, and editing. But the heart of the content — the tone, the empathy, the storytelling — always comes from me.
That’s how I balance AI with authenticity, and that’s how I make sure my clients get content that feels human, trustworthy, and effective.