Compare All AI-Powered Enterprise Search Software 2026
Side-by-side comparison of 8 ai-powered enterprise search tools. Find the right fit for your team and budget.
AI-Powered Enterprise Search software uses a mix of pricing models in 2026 — per-user, usage-based, and custom enterprise contracts — so each tool below shows its verified range in its own billing unit.
Quick Picks
Compare these 2 side-by-side
Drag the seat slider, lock a tier per product, and see Vendr median pricing and hidden costs — with a shareable URL.
Full Comparison Matrix
| Product | Starting Price | Popular Tier | Enterprise | Free Tier | Best For |
|---|---|---|---|---|---|
| Meilisearch | $20 /month | $20 /month | $20 /month | No | - |
| Dust.tt | $29 /month / user | $29 /month / user | $29 /month / user | No | - |
| Searchie | $41 /month | $99 /month | $183 /month | No | - |
Category Summary
8
Products
0
Free Tiers
AI-Powered Enterprise Search Pricing FAQ
01 What is AI-powered enterprise search?
AI-powered enterprise search lets employees find answers across all internal systems (docs, wikis, tickets, chat, drives) using natural language. Instead of keyword matching, it uses semantic search and LLMs to understand intent, retrieve relevant content, and generate direct answers with citations, respecting each user's access permissions.
02 How much does enterprise AI search cost?
Enterprise AI search is typically priced per user per month or by data volume and connectors, with most vendors quoting custom enterprise pricing rather than public list prices. Costs rise with the number of integrated data sources, seats, and query volume. Expect implementation and connector configuration to be part of the total.
03 How is AI enterprise search different from regular search?
Regular search matches keywords within a single system. AI enterprise search unifies many systems, understands natural-language questions semantically, generates synthesized answers with sources, and enforces per-user permissions so people only see what they're allowed to. This turns scattered company knowledge into a single answer engine.
04 What hidden costs come with enterprise search?
Watch for per-connector fees, implementation and data-mapping services, ongoing maintenance as source systems change, and LLM token costs for generated answers. Permission-aware indexing across many systems adds complexity and cost, and large data volumes increase storage and re-indexing expenses.