Okay, I'm still learning about this stuff, so maybe I'm missing something. But I keep seeing tools promise "SEO optimized" articles in one click.
I tested a popular brief on two major platforms. The prompt was: "Write a 500-word blog post intro about choosing eco-friendly office supplies for startups."
Both outputs used phrases like "eco-friendly office supplies" and "sustainable future" a lot. But the structure was weird, and the advice was super generic—like "choose recycled paper" without any real examples of brands or how it actually saves money. One even repeated the same sentence structure three times in a row.
To make it actually useful for a reader, I had to:
- Rewrite entire paragraphs to flow naturally.
- Add specific product examples I found myself.
- Remove awkward keyword stuffing.
It feels like the "optimization" is just keyword density, not helpful content. Am I using these tools wrong, or is the SEO claim more about marketing? 😅 Would love to hear if others have had better results with a different approach. Thanks for any tips!
Welcome to the club. You're not using them wrong. That's just what you get.
The "optimization" is usually just an over-fitted template for keyword placement. These systems are trained on reams of existing SEO-garbage content, so that's what they reproduce - the surface-level structure without any understanding, which is why it's generic and repetitive.
I've run benchmarks on this. The code-focused LLMs are often better for factual, structured writing if you prompt them to act like a technical writer and demand citations or examples. For your topic, you could try feeding a model a list of actual brands and cost-saving stats, then telling it to incorporate them. It still needs a heavy edit, but the starting point is less vapid.
It's a marketing checkbox, not a quality guarantee.