The irony of writing an article about AI making blog posts less discoverable with help from AI is not lost on me. I use these tools. They can turn a messy thought into something publishable before my tea gets cold.

That convenience is exactly the danger.

AI has made acceptable writing incredibly cheap. It has not made having something worth saying any easier. Now the internet is filling with polished posts that have the same headings, the same examples and the same eerily agreeable personality. They are not necessarily bad. They are worse: interchangeable.

People often explain this by saying Google punishes anything written with AI. That is not quite true. Google’s own guidance says generative AI can be useful for research and for structuring original work. The problem begins when people use it to produce pages at scale without adding value.

AI is not making your content invisible because it is artificial. It is making your content invisible because it is making everyone sound the same.

AI learned from us, so its default answer sounds like all of us

A language model is trained on enormous bodies of existing human material. It learns patterns: which words tend to follow other words, how an article usually opens, what an SEO checklist normally contains and which respectable conclusion is least likely to start a fight.

Ask it a generic question and it will usually give you the statistical centre of the internet. Ask for “an engaging post about SEO” and you are likely to receive familiar advice about keywords, quality content, mobile optimisation and consistency. None of it is necessarily false. None of it gives a search engine—or a human being—a compelling reason to choose you.

This does not mean AI only copies and pastes webpages. The technology is more complicated than that. It means its default strength is synthesis, not lived experience. Without unusual source material, it reaches for the most plausible answer, and plausible answers become painfully homogeneous when millions of people request them.

You cannot prompt your way into originality by adding “make it unique” at the end. Originality has to enter through the inputs: your experiment, your failed launch, your Search Console data, your unpopular opinion, your interview, your photograph, your Ghanaian context or the mistake that cost you three weeks.

AI can rearrange what you give it. It cannot retroactively live your life.

Google does not have an anti-AI switch

Google’s position is less dramatic than the online rumours. Its guidance on generative AI content tells publishers to focus on accuracy, quality and relevance. It also suggests explaining how automated content was created when that context would help readers.

The more consequential rule appears in Google’s spam policy on scaled content abuse. Google defines the abuse as producing many pages mainly to manipulate rankings rather than help people. Crucially, it says the problem is large amounts of unoriginal, low-value material regardless of how it was created.

That distinction matters. One carefully researched article in which AI helped organise your thinking is not the same thing as publishing 500 thin pages to capture every possible keyword. A human can write spam. A machine can help create excellent work. The tool is not the verdict.

Still, AI makes the abusive strategy temptingly easy. Before generative AI, flooding a website with mediocre articles required writers, time and money. Now one person can generate a small landfill before lunch. Google has not declared war on AI; it has more reason than ever to filter out content that exists only because publishing it became cheap.

The EU’s AI labels are not an ownership funeral

Another claim moving around the internet is that nothing created with AI is really yours, especially now that the European Union is enforcing watermarking and disclosure rules. This bundles two separate issues—transparency and copyright—into one alarming sentence.

Since 2 August 2026, Article 50 of the EU AI Act has applied new transparency obligations. Providers of generative AI systems must add machine-readable marks that help detect synthetic or manipulated output. Publishers subject to the rules must also label certain AI-generated text used to inform the public on matters of public interest when it has not received meaningful human review or editorial control.

That is not the same as requiring a giant visible watermark across every AI-assisted blog post. The European Commission’s Article 50 explanation explicitly says that public-interest text which has undergone substantive human review or editorial control does not need that label. Standard editing assistance can also fall outside the marking obligation.

The copyright question is different. A raw output produced almost entirely by a machine may have weak or uncertain copyright protection because copyright law traditionally depends on human creativity. The more a human selects, rewrites, arranges, verifies and contributes original expression, the stronger the human-authorship argument becomes. Exact protection still depends on the jurisdiction and the facts.

The AI Act does not announce that Brussels now owns your blog post. It asks whether people can identify synthetic content and who took editorial responsibility for what was published. Transparency is not confiscation.

But there is an uncomfortable philosophical point hiding inside the bad legal claim: if your entire creative contribution was “write me a post about SEO” followed by copy, paste and publish, how much of the work honestly feels like yours? The law may have a complicated answer. Your readers will have a simpler one.

The real SEO tax is having no reason to be chosen

Imagine Google has ten articles answering the same question. They use the same definitions, repeat the same five tips and cite no original evidence. Nine were generated by AI and one was written by a tired human copying the existing search results.

Which one deserves to rank?

“Human-written” is not automatically a value proposition. The real advantage comes from information gain: what does your page contribute that the other nine do not? It could be a clearer explanation, original data, first-hand experience, a local example, a working template, better reporting or a conclusion that challenges the consensus with evidence.

This is particularly important for smaller publishers. I cannot out-publish a media company or an automated content farm. I can, however, write from a combination they cannot easily reproduce: building digital products from Ghana, studying tourism, trying to find users, learning in public and being honest when an idea is not working.

That specificity is not a decorative personal touch added after the “SEO part.” It is the moat.

In the AI era, good SEO increasingly looks like evidence that a real person was here.

Use AI without letting it erase you

I am not going to advise anyone to abandon AI and return to staring nobly at a blank document. That would be performative—and inefficient. The better rule is to keep the thinking and delegate some of the friction.

  • Bring the raw material first. Start with your notes, evidence, screenshots, numbers, experiences and actual opinion before asking AI to draft.
  • Use AI as an editor and interrogator. Ask it to expose weak logic, reorganise sections, suggest counterarguments or identify claims that require verification.
  • Verify every consequential claim. A confident fabrication is still a fabrication, even when it arrives in beautiful prose.
  • Delete the paragraphs anyone could have published. If a section merely repeats the standard internet answer, replace it with evidence or remove it.
  • Add an asset the model could not invent. A real case study, calculator, dataset, photograph, field note, downloadable template or measured result gives the page a reason to exist.
  • Take editorial responsibility. Read the final work, rewrite it, check the sources and be able to defend every sentence carrying your name.

The purpose of AI should be to shorten the distance between an idea and its clearest expression. It should not become the source of every idea.

The scarce thing is no longer content

For years, the internet rewarded people who could produce content consistently. AI has made production abundant, and abundance changes what has value. The scarce things now are experience, judgment, access, taste, trust and the courage to say something precise enough to be disagreed with.

AI has not made writing worthless. It has made generic writing plentiful.

So the competitive advantage is not pretending you never use AI. It is making sure the finished work contains something the AI could not have produced without you.

Before you publish your next post, ask one brutal question: what exists on this page because I was here?