Convo

Product Introduction

1. Definition: Convo is a real-time AI sales assistant and conversation intelligence platform. Technically, it is a desktop application (for Mac and Windows) that uses automatic speech recognition (ASR), natural language processing (NLP), and large language models (LLMs) to analyze live audio from sales and customer success calls, providing in-the-moment guidance and post-call automation.
2. Core Value Proposition: Convo exists to increase sales win rates and accelerate rep ramp time by providing live, in-call coaching and intelligence. Its primary function is to help sales representatives handle objections, identify buying signals, and access company knowledge instantly during a conversation, turning every call into actionable revenue intelligence and reducing post-call administrative work.

Main Features

1. Live AI Sales Coaching: During live calls on Zoom, Google Meet, Microsoft Teams, or Webex, Convo's AI listens to the conversation and surfaces real-time suggestions directly on the user's screen. This includes suggested responses to objections, prompts to ask critical qualification questions (like budget, timeline, decision-maker), and cues to listen or go deeper based on conversational cues. The AI runs locally on the user's device, ensuring no bot joins the call and the interface is private.
2. Company Knowledge Retrieval: Convo indexes a team's internal documents—such as pricing sheets, battle cards, case studies, and playbooks—into a searchable knowledge base. When a prospect asks a specific question during a call, the AI instantly retrieves and displays the most relevant, approved answer from this repository, ensuring consistent and accurate messaging across all reps.
3. Automated Conversation Intelligence & CRM Sync: After each call, Convo automatically generates a structured summary that captures key discussion points, identified risks (e.g., missing stakeholders), agreed-upon next steps, and action items. It then drafts a customer follow-up email and syncs the contact details, notes, and tasks directly to integrated CRMs like Salesforce, HubSpot, or Pipedrive, eliminating manual data entry.
4. Managerial Deal Risk Visibility: The platform aggregates conversation data across an account to create a dynamic "account dossier." This gives sales managers and customer success managers a real-time view of deal health, surfacing risks like open commitments, unconfirmed stakeholders, or unresolved objections before quarterly pipeline reviews, enabling proactive intervention.
5. MCP (Model Context Protocol) Server Integration: Convo can function as a "meeting memory" via an MCP server, allowing AI assistants like Claude, ChatGPT, or Cursor AI to query past call transcripts and summaries. This enables users to ask their AI assistant to prepare for a meeting by pulling context from previous conversations, effectively bridging call intelligence with general-purpose AI tools.

Problems Solved

1. Pain Point: Lost deals due to poor in-the-moment responses. Sales reps often fumble objections or miss subtle buying signals during live calls, leading to stalled pipelines. Traditional coaching happens after the fact, when the opportunity to influence the deal is gone.
2. Target Audience: B2B Sales Representatives & SDRs, Sales Managers and Enablement Leaders, Customer Success Managers, and RevOps Professionals in small to mid-market growth-stage companies who need to scale effective sales practices without exponentially increasing management overhead.
3. Use Cases: Onboarding new sales hires by providing them with live guidance and instant access to company knowledge; handling complex enterprise negotiations where objection handling and stakeholder mapping are critical; securing renewals by ensuring all customer commitments and open items from previous calls are tracked and addressed; standardizing discovery across a team to improve data quality and forecasting accuracy.

Unique Advantages

1. Differentiation: Unlike post-call analysis tools like Gong or Chorus, Convo operates in real-time, coaching reps while the conversation is happening. Unlike Clari, which focuses on forecasting, Convo focuses on the live conversation mechanics. It is also priced for growing teams and operates as a private, local overlay rather than a cloud-based recording bot, addressing cost and privacy concerns.
2. Key Innovation: The integration of real-time, context-aware AI guidance with a private, local-first architecture. The system's ability to process live audio, cross-reference internal knowledge, and display actionable prompts without disrupting the call flow or requiring a recording bot is a significant technical and UX innovation in the sales tech stack.

Frequently Asked Questions (FAQ)

1. Is Convo detectable on a sales call? No, Convo runs locally as an application on your Mac or Windows computer. It does not join the call as a participant, no recording notifications are triggered for other attendees, and the coaching overlay is only visible on your personal screen.
2. How does Convo's real-time AI coaching compare to using a call recording tool like Gong? Gong analyzes calls after they end to provide insights for future improvement. Convo provides prompts and answers during the live call, aiming to change the outcome in real-time. It's designed for active deal coaching versus retrospective analysis.
3. What kind of company documents can Convo access during a call? Convo can index and retrieve information from a wide range of document types, including PDFs, PowerPoint presentations, Word documents, text files, and content from integrated apps like Google Drive, Dropbox, Notion, and Confluence, creating a unified knowledge base for reps.
4. Can Convo be used for roles outside of sales, such as recruiting or consulting? Yes. While built for sales, any professional who conducts discovery or qualification conversations can use Convo. Recruiters can use it to consistently ask key candidate questions, and consultants can use it to instantly pull project histories or proposal details during client calls.
5. What happens to the call audio data processed by Convo? According to its positioning, Convo processes audio locally on the user's device. For generating post-call summaries and intelligence, data may be processed securely in the cloud, but the real-time analysis is designed to be local, enhancing privacy and reducing latency.