Summary
AI content writing is now available to every business, which is exactly why the web is filling up with text that all sounds the same. Google doesn't reject content written with AI, but it asks for content that is made for people first, accurate and genuinely useful. This article covers what Google's official guidance says, how to build a writing workflow that uses AI without producing "yet another generic post", and what to check before you publish. No ranking promises, because nobody can make them honestly.
An accounting firm owner hears she needs "content for Google". She opens an AI tool, asks for twenty articles about tax, and publishes them over one weekend. A few months later they get almost no visits, and the few readers who arrive leave within seconds. Read them back to back and it's obvious why: the same openings, the same lists, no real examples, and some information that's simply wrong.
The problem isn't AI. The problem is that the content was written for a search engine, not for the customer looking for an answer. That's precisely what Google says it's trying to detect.
Karnaf Studio, active since 2003, builds websites, works on SEO and builds AI systems for businesses. We use AI in writing, and this is how we think it should be done.
What Google says about AI-generated content
Google Search Central's guidance is fairly clear. The essentials:
- Quality matters, not the tool. Google's ranking systems aim to reward helpful, reliable content created for people, not content made mainly to manipulate rankings.
- Mass production without value is a problem. Generating many pages with AI without adding value for users may violate Google's spam policy on scaled content abuse.
- Fact-checking is essential. Google notes that generative models can make mistakes and recommends manually reviewing all AI-generated content before publishing, including titles, meta descriptions and alt text.
- Who, How and Why. Ask who created the content, how it was created (including automation or AI, where readers would expect to know), and why. The right "why" is to help people, not to attract traffic.
- E-E-A-T: experience, expertise, authoritativeness and trustworthiness. According to Google, trust is the most important.
A good AI content writing workflow
1. Start from the customer's question
Not from a keyword with search volume, but from real questions customers ask you on calls, in emails and in meetings. That list is your most valuable content asset.
2. Collect what only you know
Real examples, the mistakes you see, your process, recurring objections. No model can write this, because it doesn't exist anywhere else. Without it, you'll get a generic article.
3. Use AI for structure and drafting
This is where AI earns its keep: proposing an outline, drafting from your notes, tightening long paragraphs, suggesting headings. It works from your material rather than inventing it.
4. Human editing and fact-checking
Every factual claim is checked against an official source. Every number, law or date is verified. Empty generalities are cut. The tone is aligned with the brand.
5. Add value beyond the text
A comparison table, a downloadable checklist, a real photo from the work, a short video. Things that turn a page from "another article" into a useful resource.
6. Metadata and structure
SEO title, meta description, internal links, image alt text. AI can suggest; a person approves.
How to spot "empty" AI content
Signs to look for in a draft before publishing:
- An opening that explains how important the topic is "in today's world".
- Five generic bullet points that would fit any business.
- No examples, no verified figures, no first-hand experience.
- The same idea repeated in different words to reach a length target.
- A conclusion that restates the introduction.
If the article could appear on any competitor's site without changing a word, it isn't ready.
Pros and limitations
| Pros | Limitations |
|---|---|
| Fast first drafts from existing material | Drift toward generic, "average" copy |
| Help with structure, trimming and rewrites | Convincing-sounding factual errors |
| Suggestions for headings and metadata | Risk of scaled content without value |
| Consistent tone across many pages | No knowledge of your unique experience |
About ranking promises
Be wary of anyone promising "page one on Google" thanks to AI content, or anything else. Rankings depend on many factors nobody outside Google controls: competition, site quality, user experience, the authority of the business and more. What you can do is publish helpful, accurate, well-structured content and give it the best possible chance.
Pre-publish checklist
- [ ] The article answers a real customer question.
- [ ] It includes at least one example, insight or experience only we can provide.
- [ ] Every fact, law or figure has been checked against an official source.
- [ ] A person has read and approved the full text.
- [ ] It's clear who stands behind the content.
- [ ] Title, meta description and alt text have been reviewed.
- [ ] It links internally to relevant pages.
FAQ
Should we disclose that AI helped write the article? Google suggests considering disclosure where readers might reasonably ask "how was this created?". It's a business decision that depends on the content and audience.
How many articles should we publish? A few strong articles beat many weak ones. Google explicitly warns against mass-producing content without value.
Can we use AI to refresh old posts? Yes, and it's often a good starting point: update information, add examples and improve structure, with human review.
In summary
AI can make website content faster and more accessible to produce, but it doesn't replace what makes content worth reading: the knowledge, experience and accountability of the business. Combine AI with a process that starts from the customer's question and ends with human review, and you get content that helps people, which is also what Google says it's looking for.
Want a website with content that works for your customers? See our websites and UX/UI work or talk to us.
Sources
- Google Search Central, Google Search's guidance on using generative AI content on your website – https://developers.google.com/search/docs/fundamentals/using-gen-ai-content
- Google Search Central, Creating helpful, reliable, people-first content – https://developers.google.com/search/docs/fundamentals/creating-helpful-content
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