SaaS & Tech Medium 6,200/mo

Internal Wiki + AI Search

Company knowledge base with AI-powered semantic search that understands questions in natural language and finds answers across all your docs.

ProductivityAI
MRR Potential
$15K–$70K
Time to MVP
8–12 weeks
Search Volume
6,200/mo
Market Size
$4.1B

The Problem

Employees spend 1.8 hours per day searching for information. Knowledge is trapped in Slack threads, Google Docs, and people's heads. New hires take 3–6 months to become productive because they can't find answers.

The Solution

Modern internal wiki with AI-powered semantic search — ask questions in plain English and get instant answers sourced from your company's documentation, Slack history, and meeting notes.

Target Audience

Growing companies (50–1,000 employees) where tribal knowledge is becoming a bottleneck and new hires can't find answers

Key Features

1
AI semantic search — ask questions, get answers with source links
2
Rich editor with templates (SOPs, how-tos, meeting notes)
3
Auto-verification — flag stale docs for review
4
Slack integration — answer questions from Slack with wiki links
5
Role-based access control and team spaces
6
Analytics — most searched, unanswered questions dashboard

Market Opportunity

Market Size
$4.1B — Knowledge management software market growing at 16.8% CAGR
Monthly Searches
6,200/mo
MRR Potential
$15K–$70K
Why Now?

AI embeddings make semantic search actually work (unlike keyword search). Remote work means knowledge can't be shared by walking to someone's desk. Companies scaling past 50 people hit the 'knowledge wall'.

Revenue Model

Per-user pricing: $8/user/mo (Standard), $15/user/mo (Pro with AI search), $25/user/mo (Enterprise with SSO and API). Company of 100 = $800–$2,500/mo.

Competitive Landscape

Notion

Workspace with wiki features. Flexible but unstructured — wiki is one of many use cases

Guru

Knowledge management with AI. Good product but $14/user/mo and complex card-based model

Confluence

Atlassian wiki. Widely used but universally criticized for poor search and dated UX

Slite

Team wiki for startups. Clean but limited AI and no semantic search

Recommended Tech Stack

Next.jsNode.jsPostgreSQLOpenAI EmbeddingsPinecone/pgvectorSlack APIRedis

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