AI/ML$20K-100K MRRLow competition3-6 Monthstrending

ChatInsight

Analytics dashboard for AI chatbots and conversational products.

● The Problem

Companies deploy AI chatbots but have no visibility into how they perform. Traditional analytics (page views, clicks) do not apply to conversations. Teams cannot answer "Is our chatbot actually helping users?"

● The Solution

An analytics platform built for conversational AI. Track resolution rates, conversation drop-off, topic clustering, sentiment trends, hallucination detection, and user satisfaction across all your AI touchpoints.

Key Signals

MRR Potential

$20K-100K

Competition

Low

Build Time

3-6 Months

Search Trend

rising

Market Timing

Every company deployed a chatbot in 2024-2025. Now they need to measure if it works. The analytics gap is just becoming visible.

MVP Feature List

1Conversation ingestion API
2Resolution rate tracking
3Topic clustering
4Sentiment analysis
5Hallucination flagging dashboard

Suggested Tech Stack

PythonNext.jsClickHouseOpenAI APIPostgreSQL

Build It with AI

Copy a prompt into your favorite AI code generator to start building ChatInsight in minutes.

Replit Agent

Full-stack MVP app

Build a full-stack MVP for "ChatInsight". PRODUCT Analytics dashboard for AI chatbots and conversational products.

Bolt.new

Next.js prototype

Create a working prototype of "ChatInsight". OVERVIEW Analytics dashboard for AI chatbots and conversational products.

v0 by Vercel

Marketing landing page

Design a high-converting marketing landing page for "ChatInsight". PRODUCT ChatInsight: Analytics dashboard for AI chatbots and conversational products.

Go-to-Market Strategy

Target companies that already have AI chatbots in production. Partner with chatbot platform providers for integrations. Write about "AI chatbot KPIs" to own the SEO conversation.

Target Audience

AI Product ManagersCustomer Support LeadersConversational AI Teams

Monetization

SaaS Subscription

Competitive Landscape

Voiceflow has basic analytics. Botpress tracks flows. No one does conversation-quality analytics well. This is a genuinely new category.

Why Now?

The first wave of AI chatbot deployments is hitting the "how do we know if this works" phase. Analytics is always the second product companies buy after the first one ships.