Pakistan
USA
Canada
UK
Dubai
Australia
Germany
- Google judges content on quality and purpose, not on the tool used.
- Mass-producing pages to manipulate rankings breaks spam policy.
- AI is useful for drafts and structure; experience must come from people.
- Every AI-assisted page needs fact-checking and a named, real author.
What does Google say about AI content?
Google's position has been consistent since early 2023: it rewards high-quality content however it is produced. Its guidance on generative AI content says AI can be useful for research and adding structure to original content, but using it to generate many pages without adding value for users may breach its spam policy on scaled content abuse.
In other words, the question is not whether AI touched the page. It is whether the page is helpful, accurate and made mainly for people rather than for rankings. A well-edited article drafted with AI and checked by an expert is fine. Hundreds of unedited pages generated to target keywords are not, and the same would be true if people had written them by hand.
What is scaled content abuse?
Google introduced its scaled content abuse policy in March 2024. It covers generating many pages mainly to manipulate search rankings rather than to help users, whether by AI, other automation, people or a mix. Examples Google gives include pages that make little sense to readers but contain search keywords, and content stitched together from other sites without adding value.
Two related policies matter here. Site reputation abuse covers third-party pages published on a trusted site to exploit its ranking signals, such as unrelated coupon or review sections. Expired domain abuse covers buying old domains to host low-value content. Sites caught by these policies can lose rankings for some or all pages, as covered in our guide to recovering from a Google penalty.
Where does AI genuinely help?
Uses that save time without hurting quality.
Research and outlines
Summarising sources, listing common questions and suggesting a structure to work from.
First drafts
Turning an expert's notes or a call transcript into readable text for editing.
Editing support
Spotting unclear sentences, long paragraphs and missing steps.
Metadata and variations
Drafting titles, descriptions and alt text for a person to review.
Translation drafts
A starting point for Urdu or Arabic versions, to be checked by a fluent speaker.
Where must people add the value?
AI tools write the average of what already exists. That is exactly what Google's helpful content guidance warns about when it asks whether content provides original information, analysis or insight beyond the obvious. The parts that make a page worth ranking have to come from people who do the work.
That means first-hand experience, such as what you see on real projects, the questions clients ask and the mistakes you fix. It means local knowledge, such as rules, prices and suppliers in your market. It means judgement: what you recommend and why. And it means accountability, a real person whose name is on the page and who would stand behind every claim.
What should an editing checklist cover?
Run every AI-assisted page through these before publishing.
- Check every factVerify names, dates, rules and figures against primary sources. Remove anything you cannot confirm.
- Remove invented claimsDelete statistics, quotes or examples the tool may have made up.
- Add experienceInclude at least one example, process detail or opinion that only your business could give.
- Name the authorPublish under a real expert with an author page, and have them review the final text.
- Cut the paddingRemove generic introductions and repeated points; answer the question early. See ideal word count.
- Check overlapMake sure the page does not duplicate an existing one on your site.
Should I disclose AI use?
Google does not require a label on every AI-assisted page. Its guidance suggests thinking about who created the content, how and why, and disclosing how automation was used where readers would reasonably expect to know. For example, a page of product descriptions generated from a database may warrant a note, while an article an expert wrote with help from an editing tool may not.
Be honest about authorship. Do not invent author names or credentials to make AI text look expert. For AI-generated images, Google recommends including appropriate metadata, and for shopping content, Merchant Center has its own rules on AI-generated images and text. When in doubt, a short, plain note on how content is produced builds more trust than it costs.
How we handle this for clients
We use AI tools as assistants, not authors. Briefs start from the client's own knowledge: interviews with their experts, sales questions and details from real work. Drafts may be produced with AI help, then edited by a writer, fact-checked against primary sources and reviewed by the named expert before publishing.
We avoid publishing large batches of templated pages, and we audit existing AI-generated content for errors, overlap and thin pages that should be merged or removed. Each page is planned as part of a topic cluster, as described in our guide to topical authority. You can see the wider service on our SEO agency page.
What about Urdu, Arabic and multi-market content?
AI translation into Urdu and Arabic has improved, but it still produces phrasing that native readers find awkward, and it often misses local terms people actually search for. For Pakistan and Gulf markets, have a fluent speaker review and adapt every page, especially service and legal content. Ask them to add the words and phrases customers actually use, which are often a mix of English and the local language.
If you serve the UK, UAE and Pakistan from one site, do not use AI to create near-identical versions of each page with the country name swapped. That is thin, duplicated content. Write each market version around local rules, pricing and examples. For the setup, see SEO for several countries.
Junaid has more than 18 years in SEO, paid media, web development and custom software. He founded SEOnumber1, builds WordPress plugins, CRMs and web applications, has served 500+ clients in 48 countries, and holds Google Ads, Analytics and Google Blue and Green Belt certifications. He is a National Level Award Winner in Digital Marketing. Read his story or ask a question about this article.