Introduction
AI writing tools and AI blog generators are everywhere. ChatGPT, Claude, and Gemini can produce a 1,000-word blog post in seconds. And they’re genuinely impressive.
Thousands of businesses are using them to publish blog content faster than ever. So why isn’t everyone ranking on Google?
First, not everyone can rank for the same terms, and the writing was never the hard part.
If you’ve ever typed a prompt into an AI tool, hit ‘generate,’ and published the result straight to your website, you’ve done the equivalent of filming a movie on your phone and wondering why Netflix hasn’t called. The words are only one piece of a much bigger puzzle.
The problem with AI-generated content
Let’s be clear: AI is a tool, and, like any tool, what you put into it is what you get out of it.
‘Prompt engineering‘ is a buzzword and a large part of AI, and there are plenty of ways to ensure you are putting in intelligent prompts that will get good results.
The issue isn’t that AI writes badly. It’s that most people use it to skip the joined-up thinking, and that’s where the value lives.
When you ask AI to ‘write a blog about [topic]’, you get generic content based on what already exists online. It’s a remix of everything that’s already ranking. It sounds fine and reads well.
But it doesn’t do what a blog should. To be discoverable and be read by the target audience.
AI-generated content has:
- No strategic intent.
- No keyword research.
- No understanding of what your specific audience is searching for.
- No connection to your services.
- No reason for Google to rank it over the thousand other blogs saying the same thing.
And this influx of similar content across the internet is diluting the good stuff.
Understand your target audience vs generic output
Here’s what AI tools don’t do: they don’t know your target audience.
They’ll happily churn out 1,000 words about “how to choose blinds” without knowing whether you’re talking to homeowners in Cheltenham or interior designers in London.
Whether someone’s searching because they’ve got condensation problems or because they’re staging a house for sale.
The writing process for blog content that actually works starts with knowing exactly whom you’re talking to and what they’re searching for. Not demographics, real intent.
- What keeps them up at night?
- What exact phrases do they type into search engines when they’ve got a problem you solve?
Human-created, not AI-generated
Professional content creators who rank consistently don’t start with AI. They begin with research. They look at search volume for keywords, analyse competitors, and identify gaps in what’s already ranking, which creates opportunities to stand out. Then, they map content to business goals.
AI-generated content is a remix of what’s already ranking. High-quality, human-created content comes from understanding what’s missing, what your target audience needs to hear, and how your years of experience solve their specific problem in a way no one else does.
And here’s the thing about quality blog content that ranks: it goes deep on one specific problem, not wide across multiple topics. AI’s natural tendency is to be comprehensive, which sounds good until you realise it’s producing 1,500 words that touch on everything and solve nothing. A blog about ‘blinds’ won’t rank. A blog about ‘fixing condensation on bay windows with the right blind choice’ is more likely to rank. One solves a specific problem. The other is just words.
The script without the production
I’ve written before about how your website is like a movie. Martin Scorsese doesn’t just film whatever comes to mind; there’s a script, casting, direction, editing, and then an entire promotional machine to get audiences into cinemas.
AI-generated content is like a script without the rest. You’ve got words on a page, but no director, no production team, no distribution strategy, and no marketing budget.
You wouldn’t hand a script to someone off the street and expect an Oscar-winning film. So why would you give an AI prompt and expect page-one rankings?
What’s actually missing
Here’s what happens when content actually works, the bit that AI can’t do for you:
Before the writing
- Research:
Be clear on what people are searching for and the questions they're asking. It isn’t about what you, the expert, think, but about what the data shows to be the fact. Look for keywords with good search volume (the number of times someone searched for a keyword) and that are relevant to the topic in question. - Understand ‘intent’: Understand the intent behind the search. A search for ‘best blinds for bay windows’ has a different intent from ‘bay window blinds Cheltenham’. The first one is researching, the second is ready to buy because they are looking at a specific location. Content that matches the intent of the search is more likely to rank.
- Be strategic: Know how this piece connects to your other services and blogs. Know what action you want readers to take as you guide them through a user journey. Understand how this content fits into the broader content plan.
During the writing
- Create structure:
Organise information logically with clear headers that match search intent. Break up walls of text with lists and headings to make it scannable (as this is often how people consume content on a screen rather than reading word-for-word). - Brand voice that is memorable:
Ensure the content is memorable so it reads as you would speak. Include metaphors, analogies, and specific examples to add depth and your unique take on one particular topic. - Link to connect:
Ensure the right internal links get created to connect other content naturally. It ensures you are not only connecting the dots for the readers but also helping the search engines understand your content holistically. - Back up with proof:
Give proof of real results to back up what you say by adding case studies, client examples, and your own statistics. These are the specifics that AI can’t invent and competitors don’t have.
After the writing
- Optimise correctly:
Ensure the correct technical details are in place to help search engines understand the page’s purpose. Include meta titles and descriptions, and provide image descriptions. Also, include the appropriate schema markup to ensure a clear understanding by LLMs and search engines. - Publish and index:
Putting a blog live isn’t just about hitting ‘publish’. There are further steps, such as submitting it to search engines, to ensure it is on their radar and ready for correct indexing. Also, updating how it connects to the rest of your site structure through sitemaps. - Promote:
While the content is being indexed and ranked, there are other ways to get it in front of the right people. Yes, your website is the central hub for your content and should be the final destination for prospects. But there is a further step: promoting the new content on social media and Google Business Profile, and sending a newsletter to your email list ensures it doesn’t just exist on your website but is also announced to encourage click-throughs.
So whilst AI can assist in the middle bit, ‘during the writing’, it won’t perform without the ‘before and after’. Without this, it is just more words online.
Pro tip: Brain-dump how you would write something first and then use AI as an assistant, not a replacement.
The nuance problem:
AI can suggest and include keywords.
AI can’t judge which keywords matter most, how competitive they are, or how to naturally weave in variations to signal topical authority.
That requires understanding the audience, the market, and how search engines evaluate content quality. That’s why professional marketers and SEO content creators remain needed.
The real investment
There’s an old saying: You have to speculate to accumulate, and it applies here perfectly.
Using AI to churn out content may feel like you’re saving money. After all, why pay for content creation when you can generate it for free yourself?
But not all content is created equal. The actual cost of free content is that it may not rank, convert and generate enquiries or align with your business goals. These missed opportunities result in wasted time, loss to competitors, and reduced website authority (how trusted it is with search engines) due to thin, undifferentiated content.
Free AI content generators might save time on the first draft, but they can’t deliver the content creation strategy that makes blog writing actually work.
The businesses that win at content marketing aren’t the ones publishing the most. They’re the ones publishing strategically, with every piece researched, optimised, and promoted, actually to reach the people searching for the problem you solve.
Best practice for using AI to assist in blog writing
If you’re going to use AI tools for blog content, here’s the writing process that actually works:
- Start with strategy. Research your target audience, identify relevant keywords with search volume, and map content to actual business goals.
- Create a first draft. Tools like ChatGPT and Claude excel at overcoming writer’s block and generating initial structures. But they need direction from someone who understands your brand voice and target audience. Use AI writing tools for the first draft, not the final product.
- Include the human touch. Original content becomes high-quality content when you add specific examples, case studies, and the years of experience that only you bring. Weave in relevant information that your target audience needs that AI wouldn’t know how to include. Ultimately, this is what comes from actually doing the work, not reading about it. (Jargon alert: this is what Google calls EEAT – Experience, Expertise, Authoritativeness, and Trustworthiness). Essentially, it’s about adding the human touch.
- Optimise for search engines properly. AI blog generators don’t understand search engine optimisation in the context of your specific site. There is a lot of nuance that requires understanding internal linking strategies, how this blog connects to your services, and the technical SEO elements that signal quality to Google.
- Think beyond Google. ChatGPT, Perplexity, and other AI tools are becoming search engines in their own right. People are asking AI for recommendations, so having your content referenced is key. Ultimately, be specific and showcase your expertise by backing up your claims with real examples. (Jargon alert: terms like LLMs and ‘search everywhere optimisation‘ will soon become the norm).
The writing process that actually works is using AI as a tool within a broader strategic process, led by someone who knows what they are doing and how to use the human element correctly.
When AI does make sense
AI is genuinely helpful in the right context, as any tool is when used correctly.
It’s great for improving productivity, such as:
- brainstorming ideas
- overcoming writer’s block,
- creating first drafts to refine,
- summarising research,
- handling repetitive content tasks, and
- de-duping information.
Going further, AI platforms like ChatGPT excel at:
- Explaining complex topics to different audiences.
- Translating technical content into plain English.
- Generating multiple headline options.
- Suggesting ideas for restructuring existing content.
- Producing variations of the same message for different channels.
This blog is definitely not an AI rant. It’s to explain that AI works best as a tool within a larger workflow, not as a replacement for strategy. The professionals who use AI effectively aren’t skipping joined-up thinking; they’re using AI to speed up execution after the strategic work is complete.
Natalie Alsop
Remember, AI can get things wrong...
There have been numerous times when using AI at Engaging Content, and the results didn’t sound right. We were using AI to review technical wording for a legal client (where accuracy is critical), and it confidently returned incorrect results. Remember that most AI models are working with old data anyway:
ChatGPT’s knowledge ends in October 2023; Claude’s in April 2024.
In this instance, it didn’t matter because the error wasn’t time-dependent, but picking this up came down to human judgment and expertise: someone with over 20 years of digital marketing experience and a close-knit relationship with the client can spot when something feels off.
Fact-checking isn’t optional; it’s a necessity.
What content creators know compared to AI
There’s a reason professional content creators still have jobs despite AI tools being everywhere. They’re tracking how search itself is changing – not just Google, but how people use AI tools to find answers. Because, as with SEO (and now AI), whilst there are always changes to Google and the algorithm, the principles remain the same: writing for humans.
They bring brand voice. Not just “professional” or “friendly”, your specific voice. The way you’d explain something to a client over coffee. The metaphors you use. The examples that resonate with your particular audience.
They understand search engines beyond words and keywords. Yes, relevant keywords matter. But so does understanding what people actually want when they search – this is called ‘search intent’ or ‘user intent’ in the SEO world. Content creators consider the overall experience, not just word count or keyword volume.
By asking the right questions, good marketers will get to know your target audience in ways AI never will. They will have spoken with you, the expert, to understand how you communicate with your customers and the language you use. They will conduct market research, read your reviews, and understand the underlying meaning.
They know the questions people actually ask, the objections they raise, the language they use when they’re ready to buy versus when they’re just researching.
And they connect content to business outcomes.
Every piece of blog content should serve a purpose:
- building your authority so that you stand out as experts,
- answering commonly asked questions,
- supporting sales conversations, and
- capturing search traffic for your key services.
Content creators apply this knowledge based on their years of experience. AI writes what you tell it to write. And it’s why generating content with AI tools may be fast and free, but creating high-quality content that actually does something still requires a human.
Google doesn’t hate AI content: it just hates bad content.
“But I don’t have time/money for all that”
I hear you. It sounds like a lot of work compared to just hitting ‘generate’ in ChatGPT.
Here’s the thing:
- You’re either investing in creating content that works, or
- You’re spending time generating content that doesn’t work, and wondering why.
Pick one.
The businesses that invest in proper content creation: research, strategy, optimisation, spend less time overall because they’re not constantly starting from scratch or trying to fix what isn’t working. They build momentum.
The ones churning out AI-generated blogs? They’re busy. They’re publishing. And they’re still invisible.
The bottom line
If you’re using AI to write blogs and wondering why nothing’s happening, the problem isn’t the AI. It’s that you’re treating content like a deliverable rather than a cohesive system.
Words are cheap. Strategy is what makes them work.
The question isn’t about whether to use AI or a human. It’s whether your content has the research, optimisation, and promotion behind it to be found and start ranking.
Content creators understand this instinctively. They know that best practices in blog writing aren’t about following a formula;
- They’re about understanding your target audience,
- matching search intent, and
- creating original, engaging content that answers questions your competitors haven’t thought to ask.
That’s the difference between blog content that exists and blog content that converts.
Without those elements, it doesn’t matter who (or what) wrote it. It simply won’t perform.
Ready to make your content work and perform?
If your blog posts are gathering dust and not generating enquiries, the problem isn’t the writing; it’s everything else, before, after and during that is missing.
Start with a Website Foundation Audit to identify what’s missing, or book a fit call to discuss how a strategic content system can help your website attract the right people and repel the wrong ones.
