Where Google actually stands on AI content
Let’s clear up the most common misconception: Google does not penalise AI content for being AI-generated. They’ve said this repeatedly. What Google penalises is unhelpful, low-quality or spammy content, regardless of who or what wrote it.
The trouble is that a huge proportion of AI-generated content turns out to be exactly that: bland, generic, factually shaky and indistinguishable from a thousand other AI articles on the same topic. The penalty isn’t for the AI; it’s for the quality.
This is the same point we made in how AI search is changing the way people find your business: Google rewards content that’s useful, specific and trustworthy. AI can help you produce more of that, or it can help you flood the web with the opposite.
Where AI genuinely helps SEO
1. Speeding up the boring parts of writing
Outlining a post, drafting introductions, summarising long articles, generating meta descriptions, brainstorming headlines. These are tasks where AI shines. They’re the parts of writing that slow you down without making the work much better. Letting AI handle them frees you up to focus on the parts that actually need your expertise.
2. Editing your own writing
One of the highest-value uses. Paste in something you’ve written and ask AI to tighten it, find weak phrasing, or check the structure. You stay the author. It just helps you publish a better version. We covered this approach in the small business guide to ChatGPT for marketing.
3. Repetitive content at scale
Product descriptions, FAQ entries, internal documentation, location-page boilerplate. These are places where consistency matters more than originality. AI can produce usable drafts in seconds. Always review, but the time saving is real.
4. Translating ideas into different formats
Got a long blog post? Ask AI for a LinkedIn version, a Twitter thread, an email summary, a video script. You get more reach for the same idea, in less time.
5. Research and synthesis
AI tools that can browse (Perplexity, ChatGPT search, Claude with web access) are excellent for quickly getting up to speed on a new topic. Use them as a starting point, then verify the details before publishing.
Where AI hurts SEO (and your reputation)
1. Pumping out thin, generic articles
The classic mistake. Someone reads about an “AI content strategy” and decides to publish 200 articles a month. Each one is 800 words of recycled, surface-level information. Google notices, your rankings stagnate or drop, and you spend the next six months wondering what went wrong.
Volume without value is the single fastest way to harm your SEO with AI. We’ve watched it happen to client after client.
2. Hallucinated facts
AI tools confidently invent statistics, quotes, citations and even entire studies. If you publish those without checking, you’re putting incorrect information into the world under your name. Google’s reviewers (yes, they exist) flag this kind of content. Your readers notice too.
3. Lifeless writing that doesn’t differentiate you
Even when AI gets the facts right, the default voice is bland. Generic phrasing. Predictable structure. No opinions. Nothing memorable. The result reads like a competent intern who’s never actually done the job. That kind of content might get indexed but it rarely gets cited, shared or remembered.
4. Keyword-stuffed, AI-optimised drivel
There’s a whole genre of “SEO-optimised AI content” where the prompts are designed to hit keyword density targets. It usually produces content that’s exhausting to read. Google has spent years getting better at filtering exactly this kind of writing out of the results.
5. Fake expertise
If you’re a real plumber, your insight into plumbing is valuable. AI’s averaged-out take on plumbing is not. Every time you publish an AI-generated article on a topic you know well, you’re substituting your expertise (which is your real edge) for someone else’s averaged guess.
The point of AI is to amplify your expertise, not to replace it. The moment your content starts sounding like everyone else’s, you’ve lost the only edge that mattered.
Practical tests for AI-assisted content
Before publishing anything AI helped you create, run it through these questions:
- Could this have been written by anyone in my industry, or does it reflect my specific perspective?
- Have I verified every fact, statistic and claim?
- Have I added at least one example, story or insight that only I could provide?
- Does it sound like me, or does it sound like a robot trying to be helpful?
- If I was the reader, would I learn something genuinely new or actionable?
If you can answer yes to all five, publish it. If not, rewrite the bits that don’t pass.
For the on-page essentials that apply to any post, AI-assisted or not, our content checklist walks through them in order.
A workflow that works
- Decide your topic and angle yourself. Don’t outsource the strategic decisions.
- Use AI to outline. Ask for a structure, edit it ruthlessly.
- Draft section by section. Use AI for first drafts, then rewrite each one in your own voice.
- Add specifics only you know. Real examples, real numbers, real stories.
- Verify every fact. Don’t trust AI on statistics or citations.
- Read it out loud. If a sentence makes you cringe, change it.
- Add internal links and a call to action. Tools won’t do this thoughtfully for you.
What about Google’s “helpful content” guidelines?
Google’s helpful content system rewards content that’s written for people, demonstrates first-hand experience and genuinely answers a question. It penalises content that’s written primarily to rank, doesn’t demonstrate expertise or just summarises what’s already out there.
The interesting thing about that framework: it doesn’t care whether AI helped you write the post. It cares whether the post helps the reader. We talked about this in modern SEO beyond keyword stuffing.
Real-world signals AI tools won’t give you
The things that consistently differentiate good content from average content are nearly all human:
- First-hand examples from your work
- Specific numbers from your own data
- Strong opinions backed by experience
- An understanding of what your customers actually ask
- Confidence to disagree with the conventional wisdom when appropriate
None of these come from prompts. All of them come from doing the work in the real world. AI can help you get those insights into print faster, but it can’t generate them for you.
Final thought
If you take one thing from this post, take this: AI content is fine when it’s helping a real person say something useful. It’s harmful when it’s used to fake expertise you don’t have, or to flood the world with content that nobody asked for. Use it like a sharp tool, not like a content factory.
If you’d like a hand putting together a content plan that uses AI sensibly (without ending up like everyone else), get in touch.
