Generic content is getting easier to make and easier to replace at the same time.
That is why utility pages are getting more interesting.
If Search is moving toward more agentic experiences, custom dashboards, and mini apps, then a useful page that helps someone do something may become strategically stronger than another AI-assisted article explaining a broad topic everyone else is already summarizing.
Why utility matters more now
AI Search raises the standard for commodity content. If a question can be summarized quickly inside Search, a generic article has less leverage unless it adds distinct expertise or proof.
Utility pages are different because they create an action:
- a comparison;
- a generator;
- a scoring tool;
- a guided brief;
- a structured decision aid.
Those are harder to compress into a throwaway paragraph.
What Google signaled
In Google’s May 19, 2026 Search I/O update, the company said Search will support more custom experiences and mini apps. In its June 5 AI recap, Google repeated that Search is getting generative UI, interactive visuals, dashboards, and mini apps for ongoing tasks.
That matters because it suggests Google sees useful interactive outputs as part of the discovery experience itself.
Analysis: when the platform starts moving toward utility, websites that only publish surface-level commentary become easier to leapfrog.
Why generic content loses
Generic content has three problems in AI Search:
- it is easy to synthesize;
- it rarely contains unique structure or capability;
- it gives users fewer reasons to return directly.
Utility pages do the opposite. They create a reason to revisit. They create a reason to cite. They create a reason to prefer the source.
Google’s own AI Search updates around Preferred Sources, more inline links, and more opportunities for websites are consistent with this direction. Search wants stronger destinations, not only more pages.
What a utility page can be
A utility page does not need to be a giant SaaS product.
For a consultancy or expert-led studio, it could be:
- a service-fit checker;
- a brief generator;
- a structured readiness audit;
- a page-rewrite scorer;
- a planning worksheet with generated outputs;
- a small workflow tool tied to the core service.
That is one reason I like this direction for JQ AI SYSTEMS specifically. João already builds internal tools, dashboards, generators, and workflow systems. Turning some of that operational thinking into public-facing utility pages is more defensible than publishing generic trend content at scale.
CTA: If AI Search keeps compressing generic explanations, publish more useful pages. The website that helps people act often becomes a stronger destination than the website that only explains.