Add AI search to your SaaS so users find answers instantly
Search is where most SaaS products quietly lose users. People type what they actually want, get keyword-matched garbage, and leave. We rebuild it as semantic, AI-powered search that returns the right answer instead of a list of probably-relevant rows.
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The problem
Most product search is still keyword matching with a few filters. Users have to learn the right vocabulary, type exact phrases, and click through results to find what they meant. The data shows it: low search-to-action conversion, repeated searches, and high abandonment after the first failed query. Meanwhile your users have been talking to ChatGPT all day and expect search to actually understand them.
What we build
- Semantic search across your existing product data (records, documents, knowledge base)
- Natural-language queries that handle typos, synonyms, and intent
- Ranked answers with the source surfaced, not just a list of rows
- Optional answer generation (RAG) for question-style queries
- Filters and facets that work with semantic ranking, not against it
- Analytics on what users search, what they find, and what they give up on
A real example
A SaaS client's users were struggling to find anything in their product. We rebuilt search with semantic retrieval and a ranking layer. Time-to-answer dropped 12×, and engagement on search-driven flows rose 40%.
Read the SaaS AI search case studyThis problem usually shows up alongside others. See how Dorio handles ai features & agents and real estate platform for similar teams.
Timeline
4–8 weeks to live
Pricing
$10,000 – $30,000 fixed price
Related service
AI Features & Agents serviceFrequently asked questions
Do you replace our database?
No. We sit alongside it. Your existing data stays where it is. We add a vector index and retrieval layer that points back at the source records.
Which AI models do you use?
It depends on the use case. We mix open-source embedding models with hosted LLMs (OpenAI, Anthropic, Gemini) and self-hosted options. You're not locked into one vendor.
Is it expensive to run?
Embeddings are cheap. The expensive part is generation, and we only generate when the query needs it. For most SaaS products, monthly inference cost lands well under what one extra support hire would cost.
What about data freshness?
Indexes update incrementally as your data changes, usually within seconds for new records and near-real-time for edits.
Book a free 30-minute call
Tell us what's not working. We'll give a clear, honest answer about whether this is worth doing for your business and what it would cost.
What is this costing you today?
Use the calculator to estimate the annual and 5-year cost of doing this manually, then compare to what automating it would cost.