Past battle · 2026-03-09 UTC
Chatbots Showdown — March 9, 2026
From the Chatbots category. 13 marks placed across 4 fighters. Perfect Wiki took the crown.
Final standings
The line-up
The fighters
Profiles of every tool that competed in this battle, ranked by their final score.

Perfect Wiki
AI knowledge base that turns SharePoint and Teams docs into instant, searchable answers.

Perfect Wiki is a knowledge management solution that uses AI to transform SharePoint and Teams documentation into a searchable knowledge base. It aims to address the problem of scattered and inaccessible documentation, where team members often rely on individual knowledge rather than a collective, shared resource. Perfect Wiki connects existing SharePoint folders and documents, syncing and indexing them to provide AI-driven answers in plain language. These answers are sourced and can be found in 28+ languages, allowing team members to trust the information returned and verify sources. The solution integrates with Microsoft Teams, Copilot, and SharePoint, making it easy to ask questions and access knowledge without the need for a new app or migration project. This approach enables teams to centralize and organize their knowledge, reducing onboarding times, minimizing interruptions, and improving overall collaboration and productivity.
Criteria breakdown
- AI question-answering bot in Teams
- SharePoint and document integration
- Structured wiki pages and categories
- Analytics on questions and knowledge gaps
- Role-based permissions and access control
- Search across all connected content

Chatling
No-code platform for building AI chatbots that automate customer support and engagement

Chatling is a no-code platform that lets businesses build custom AI chatbots without technical expertise. Users can train bots on their own data—including websites, documents, and FAQs—to deliver accurate, context-aware responses tailored to their brand and customers. The platform focuses on automating routine customer interactions, from answering common questions to capturing leads and guiding users through workflows. Chatbots can be embedded on websites or integrated into existing communication channels, helping teams reduce support load while maintaining responsive service. With customization options for tone, appearance, and behavior, Chatling aims to make conversational AI accessible to small businesses, agencies, and larger teams looking to scale customer engagement.
Criteria breakdown
- Custom data training from URLs and documents
- Drag-and-drop chatbot builder
- Website widget embedding
- Lead capture and conversation analytics
- Multi-language conversation support
- Adjustable AI model and tone settings


Jinnee is an AI-powered virtual assistant designed specifically for fintech companies and digital banks. It handles customer inquiries around the clock, automating responses to common banking questions and reducing the load on human support teams. The platform combines conversational AI with fintech-specific knowledge, allowing it to assist users with account questions, transactions, product information, and onboarding. Businesses can train Jinnee on their own data to deliver tailored, on-brand support experiences. By automating routine queries and surfacing customer insights, Jinnee helps fintech teams improve response times, scale support operations, and identify opportunities to enhance their services.
Criteria breakdown
- AI chatbot for banking inquiries
- 24/7 customer support automation
- Customer behavior analytics
- Custom training on company data
- Integration with fintech platforms
- Multi-channel deployment


Marcus is an AI-powered billing agent that aims to accelerate invoicing, collections, and cash flow for businesses. While the exact details of how it operates or its capabilities are unknown, it appears to be designed for companies facing difficulties in managing their financial transactions efficiently. The tool's primary function is to optimize these processes, allowing businesses to improve their cash flow and potentially reduce financial stress. Its effectiveness and limitations are not well-documented at this time.
Criteria breakdown
- Automated invoice generation and delivery
- AI-driven payment reminders and follow-ups
- Cash flow and AR analytics
- Customer communication across multiple channels
- Reconciliation and payment tracking
- Integration with billing and accounting systems



