AI-powered site search
Search built on your actual content and catalogue that understands intent and phrasing, not just exact keyword matches.
AI-Powered Websites
Websites With AI Search, Personalisation and Assistants Built In
We build websites with AI capability designed in from the start — on-site search that understands intent, content that adapts to the visitor, and assistants that answer questions without sending people to a contact form.
AI features bolted on as a widget, not built into the site
Most 'AI-powered' websites are a standard site with a chat widget script tag added at the end — it doesn't know the catalogue, doesn't reflect real-time content, and adds another slow third-party script on top of everything else.
- Chat widgets that give generic answers because they aren't connected to actual site or product content
- AI search bolted onto a keyword-only search index instead of replacing it properly
- Personalisation logic that slows page load because it's not integrated with the rendering pipeline
- No fallback when the AI feature fails, breaking the user's task instead of degrading gracefully
AI capability designed into the site's architecture, not appended to it
We treat AI search, personalisation and assistant features as part of the core build — connected to your actual content and data, performance-budgeted like any other feature, and built with sensible fallbacks — rather than a third-party script dropped in after launch.
What's included
Service components
Content personalisation
Adapting content, offers or navigation based on visitor behaviour or segment, integrated into the rendering pipeline rather than a client-side afterthought.
Embedded AI assistants
On-site assistants trained on your actual product, service or policy content to answer visitor questions directly.
Recommendation logic
Product or content recommendations grounded in real catalogue or content data, not generic 'you might also like' filler.
Performance-budgeted AI integration
AI features implemented against the same Core Web Vitals budgets as the rest of the site, with async loading and fallbacks.
Analytics on AI feature usage
Tracking how visitors actually use search, personalisation and assistant features to guide iteration.
Process
How we deliver it
- Step 01
Use case & data audit
Identifying which AI features (search, personalisation, assistant) genuinely serve visitors and what content or data they'd need access to.
- Step 02
Architecture & performance planning
Designing how AI features integrate with the site's rendering and data layer without breaking performance budgets.
- Step 03
Build & content grounding
Development plus connecting the AI features to real, current site and product content.
- Step 04
Testing & fallback design
Testing behaviour under failure or ambiguous queries, and building graceful fallbacks.
- Step 05
Launch & usage monitoring
Tracking how visitors use the AI features and refining based on real interaction data.
Outcomes
What you get out of it
AI features that actually answer correctly
Grounded in real site and product content instead of generic responses.
No performance trade-off
AI capability implemented against the same speed budgets as the rest of the site.
Graceful degradation
Standard search and navigation still work if an AI feature fails or times out.
Usage data to justify the investment
Analytics on whether visitors are actually engaging with search, personalisation or the assistant.
Why D2S
Why teams choose us for this
- AI features scoped against real use cases, not added because 'AI' sells the pitch
- Same team handles the AI integration and the underlying site performance, so nothing works against the other
- Fallback and failure-state design treated as a requirement, not an edge case
- In-house AI integration team working alongside the web development team on one build
Industries
Sectors we work with
E-commerceB2B SaaSReal estateFinancial servicesHealthcareEducation & training
FAQ
Frequently asked questions
01What's the difference between this and adding a chatbot widget?
A chatbot widget is a generic script that doesn't know your content. What we build is grounded in your actual site, catalogue or policy content and integrated into the site's architecture rather than layered on top of it.
02Will AI features slow down our site?
Not if implemented correctly — we budget AI features against the same Core Web Vitals targets as the rest of the site and load them asynchronously so they don't block the core page.
03Can you add AI search to an existing website?
Yes, we can add AI-powered search to an existing site's content or catalogue without a full rebuild, depending on the current architecture.
04What happens if the AI assistant doesn't know the answer?
We design a fallback — directing to a contact form, human support or standard navigation — so a visitor's task doesn't dead-end on an unanswered query.
05Do you build the AI models yourselves or use existing ones?
We typically build on established LLM providers and ground them in your content, rather than training models from scratch, which keeps cost and maintenance realistic for most businesses.
Keep exploring
Related services
Want AI search or an assistant that actually knows your content?
Tell us what you want visitors to be able to do, and we'll scope what's realistic.