How our AI search helps service businesses match prospects to proven solutions

TL;DR

We replaced the standard "browse our services" experience on ibsolutions.dev with a search that accepts plain language problem descriptions and returns matching proven solutions in seconds.

Challenge

Buyers visiting a service business website face the same friction everywhere. Proof and practical examples are buried inside long pages. There is no easy way to check whether a provider has solved something similar to their specific problem. Most give up before they find a match, which slows evaluation and means good-fit prospects leave without starting a conversation.

Solution

You describe your problem in a sentence. The page shows you the three most relevant solutions we have delivered, with links to real client work and a way to start a conversation. No browsing, no guessing which menu item might lead to something relevant.

The system uses OpenAI embeddings generated at build time. Every visitor search is one small embedding call against pre-computed data instead of running an LLM live, so per-visit AI cost is a fraction of a cent. Full technical breakdown in the Lab project.

Try it: describe a problem on our solutions page and see what surfaces. The same search powers everything described below.

Impact

Visitors reached a relevant solution in under 10 seconds instead of clicking through multiple pages and service descriptions.

What the search showed us

The more interesting outcome had nothing to do with visitors. Prospects describe their problems differently from how we write about our services. Every query exposes a positioning gap. The search doesn't just help visitors find answers. It helps us write better, position more clearly, and spot opportunities we would have missed.

Where this pattern works

Marketing teams can replace vague "we do X" pages with a single entry point where visitors describe their situation and see relevant examples. The logged queries also show how your market actually talks about its problems, which feeds directly into messaging.

Sales teams can let prospects type their use case and jump straight to proof that matches their industry, system stack, or deal stage. Search queries feed into CRM as qualification signals, so follow-up tracks what the prospect actually cares about.

Let people describe their problem instead of making them navigate your catalog. Conversations arrive better qualified, and your content gets sharper with every query.

Try the search on our solutions page.