Which tech stack should we choose for AI search?
Choosing a tech stack for AI search isn’t about finding the one “perfect” CMS. It’s about building foundations that are structured, fast and flexible enough to support semantic search and LLMs.
- Start with outcomes, not tools.
What do you want users to find faster? Where are they getting stuck today? Which journeys matter most for revenue and risk? - Prioritise structured content.
Define content types (services, case studies, help articles, products) with consistent fields. This helps both search engines and LLMs understand your site. - Make it fast and stable.
Clean code, strong hosting, caching and good Core Web Vitals give AI crawlers a clean signal instead of noise. - Choose a CMS your team can actually use.
If content still depends on developers, you’ll never keep up with what people are asking in AI tools.
Good options usually share three traits:
- API‑friendly (for AI search integrations)
- Strong editor experience
- Solid ecosystem of plugins/integrations
Whether it’s WordPress, Webflow, a headless CMS or something composable, the stack should make it easier for you to publish clear, structured answers to real questions. Do that consistently and you’re already ahead of most competitors in AI search.
We’d love to hear how your team is adapting to the wave of new technology. If you’d like to discuss where you are on that journey, get in touch.