AI has become part of day-to-day marketing whether we like it or not. Most people writing content regularly have tried ChatGPT, Claude, or something similar. Some use it carefully. Others are quietly churning out entire blogs and hoping Google doesn’t notice.
Google isn’t hunting for AI
There’s a common misconception that Google is scanning websites and labelling pages as “AI-generated”. That’s not how it works.
Google doesn’t care how content is written. It cares whether the content is worth showing to a human being.
If a page answers the question properly, is relevant, and feels useful, it stands a chance of ranking. If it doesn’t, it won’t. Simple as that.
The problem is that a lot of AI-written content looks fine but says very little. And Google has become very good at spotting that.
Where AI content usually falls apart
Most AI content isn’t bad because it’s written by a machine. It’s bad because it’s used lazily.
You’ll see the same patterns everywhere:
- Safe, generic advice that applies to everyone and no one
- Lots of words, very little insight
- No examples, no opinions, no edge
- Blog after blog covering slightly different versions of the same topic
This isn’t penalised in a dramatic way. It’s worse than that. It just gets ignored.
Pages get indexed, sit there quietly, and never really perform.
“AI is a compass, not a cheat code.”
AI works best when it’s not pretending to be human
AI is genuinely useful. We use it ourselves. It’s great for getting thoughts down quickly, organising ideas, or breaking through a blank page.
Where it falls short is experience.
AI hasn’t:
- Worked with real clients
- Dealt with limited budgets
- Seen what actually converts
- Had to explain results to a business owner
That context still matters, especially for marketing content.
The strongest content usually starts with AI and ends with a human saying, “That’s not quite right, here’s what actually happens.”
How we approach AI at Hatch Haus
We don’t use AI to replace thinking. We use it to save time.
Every blog, landing page or piece of copy still has a reason for existing. Who it’s for. What it should lead to. Why it matters to the business.
We add things AI can’t:
- Real-world examples
- Honest trade-offs
- Clear opinions
- Commercial context
That’s the difference between content that reads well and content that actually works.
What Google really responds to
Google’s job is to give people the best answer available.
That usually means content that:
- Goes a bit deeper than surface-level advice
- Feels written by someone who understands the topic
- Connects naturally to the services behind it
- Keeps people reading, clicking, and exploring
If AI helps you get there, it’s not a risk. It’s a tool.
The honest truth
You won’t get penalised for using AI.
- You will struggle if you:
- Publish content just to hit a schedule
- Let AI do all the thinking
- Write for search engines instead of people
Used properly, AI can make marketing content faster and better. Used carelessly, it just creates noise.
If you’re unsure where that line is, or you want help using AI without damaging your SEO or brand, that’s exactly the kind of work we do at Hatch Haus.
