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Industry · · 6 min read
AI-Built sites and search quality expectations
How a page was produced is not the ranking question. Whether it is useful, original and technically sound is.
What happened
Google's position on AI-produced content hasn't changed: it judges the result, not the tool.
- Google's guidance continues to focus on content quality and usefulness rather than the method of production.
- Scaled, low-value content produced primarily to manipulate rankings remains against spam policies.
- AI development tools are now common in professional web builds, including ours.
- Detection systems for mass-produced, low-effort content are becoming more sophisticated and integrated into core updates.
- Users are showing a preference for content that clearly demonstrates human oversight and verification.
Why it matters
The risk isn't using AI. It's publishing pages that add nothing new.
- Using AI tooling to ship faster is not a risk. Publishing thin volume is.
- The bar is originality, first-hand experience and technical execution.
- Demonstrating EEAT is more important than ever to differentiate from purely automated sites.
- Quality expectations are rising as the cost of producing generic content falls to near zero.
- Search engines are prioritising sites that offer a unique perspective or proprietary data that AI cannot easily replicate.
What to do about it
Use AI for speed, and make sure every page carries something only you can provide.
- Use AI to accelerate build and research, then add real expertise, data and examples.
- Delete or consolidate thin pages instead of adding more.
- Keep a named author and a real About page so expertise is attributable.
- Incorporate unique images, videos or case studies that showcase real-world application of your knowledge.
- Fact-check every AI-generated claim against reliable sources before publishing.
- Regularly review your content for AI-isms or generic phrasing that could signal a lack of human editing.