Eleven identical company-knowledge questions tested Slite Agent against an AI client using one Rovo MCP search and one synthesis pass. The comparison that matters is time to a usable natural-language answer.
Rovo returned links and snippets 4.6 seconds sooner. Converting those snippets into a user-ready answer added 8.5 seconds and exposed more context to the client model.
Slite's agent time already includes retrieval and answer generation. Rovo's finished-answer time includes search plus the measured synthesis allocation.
Speed alone hides the structural difference between the products. Answer completeness and context cost tell the rest of the story.
Every fresh Slite Agent call produced a natural-language answer with citations against the supplied expected answer.
The single search call produced enough snippet context for questions 1 and 8. Seven answers were partial and two were missing.
Rovo sent search payloads to the client model before synthesis. Slite returned the completed answer directly in one MCP response.
The test measures the tools as they are actually exposed through MCP, while keeping the question corpus and timing boundaries consistent.
Inspect the expected answer, raw tool responses, citations, latency, estimated token footprint, and one-search completeness for all 11 questions.
Tool identities, citations, latency, and token use stay hidden until both answers have been rated across all 11 questions.