AI is brilliant
It can write content, analyse websites, generate ideas, review SEO performance and answer questions in seconds that might have taken hours to research manually.
But here’s the thing.
Just because AI says something confidently doesn’t mean it’s correct.
In many ways, AI is like a sat-nav. Most of the time it gets you exactly where you need to go. Every now and then though, it confidently directs you down a farm track, into a dead end or through a field that definitely isn’t a road.
The problem isn’t that the sat-nav is useless. The problem is when we stop paying attention and blindly follow the instructions.
The same applies to AI.
AI is a fantastic assistant, not a replacement for critical thinking
One of the most common uses of AI today is website and SEO analysis.
You upload your website, ask for an audit and within moments receive a detailed report highlighting issues, opportunities and recommendations.
Sounds great.
Until you start reading the findings.
We’ve seen AI reports flag perfectly optimised pages as problematic, recommend removing content that is performing well and even suggest technical changes that would make a website worse rather than better.
The challenge is that AI doesn’t truly understand your business, your audience or your objectives. It works by identifying patterns and probabilities based on the information available to it.
That means sometimes it gets things wrong.
Challenge the recommendations
Imagine receiving an SEO report that says your homepage doesn’t contain enough keywords.
Before rushing to make changes, ask yourself a few questions:
- Does the page already rank well?
- Is the content written naturally for users?
- Would adding more keywords improve the experience or simply make the page harder to read?
- Is the recommendation based on best practice or just a generic rule?
The same principle applies to every AI-generated suggestion.
Treat the output as a starting point for discussion, not the final answer.
Context matters
A recommendation that is perfect for one business could be completely wrong for another.
An AI tool might suggest publishing four blog posts every week.
For a national publisher that may be realistic.
For a local engineering company, publishing one high-quality article per month may be a far better use of time and resources.
Without context, even sensible recommendations can become bad advice.
The human element still matters
Marketing, branding and websites aren’t purely technical exercises.
They involve understanding people.
People have emotions, preferences, habits and behaviours that don’t always fit neatly into an algorithm.
AI can help identify trends, generate ideas and highlight opportunities, but human experience remains essential when making decisions.
After all, your customers are human too.
The best approach? Combine AI with experience
The businesses getting the most value from AI aren’t the ones blindly following every recommendation.
They’re the ones asking questions.
- Why has AI suggested this?
- Does it align with our goals?
- Does the recommendation make sense for our audience?
- Can we validate the information before acting on it?
AI is an incredibly powerful tool, but like any tool it works best when guided by someone who understands the bigger picture.
So the next time AI completes an SEO review, audits your website or offers marketing advice, don’t assume it’s right.
- Read it.
- Question it.
- Challenge it.
Because sometimes the smartest thing you can do with AI is disagree with it.