case studies

Astro or Next.js: which framework is better for SEO?

In short. Astro is a strong fit for content sites that should ship little JavaScript. Next.js makes sense when application interfaces and the React ecosystem dominate.

AstroNext.jsSEOweb performance
Graphic comparison of two web architectures

A one-sentence definition

Astro is a content-focused framework that renders HTML and sends JavaScript only for interactive components; Next.js is a full React framework for both applications and content.

The better SEO choice is therefore not the framework with the longest feature list. It is the one that helps a team produce useful, stable, accessible and maintainable pages.

When Astro is a natural fit

Agency sites, publications, documentation and editorial catalogues often benefit from Astro’s approach. Content can be prerendered, components remain isolated and browser-side JavaScript stays limited.

Content Collections add schemas to articles. The Image component optimizes local visuals. Sitemaps and language alternatives can be generated at build time.

When Next.js is a better fit

Next.js becomes logical when React already structures the product, authenticated interfaces dominate or many interactions share complex state. Its ecosystem also helps teams already organized around React.

It can deliver strong performance, but the project needs clear discipline around rendering, caching, client components and dependencies.

Criteria to compare

Evaluate page types, publishing frequency, interactivity, team skills, hosting and maintenance constraints. Then measure the actual HTML, loaded resources and Core Web Vitals on representative pages.

SEO depends primarily on search intent, semantic structure, internal links and technical quality. A framework cannot compensate for generic content or a confusing architecture.

Our rule

We choose Astro when content and performance should remain central. We choose Next.js when a rich React application justifies its model. The right framework is the one that reduces complexity for the actual product.

See examples in our web and platform case studies.

MTECHProduct & AI agency · Paris