AI Meeting Assistant — Product Launch & Go-To-Market Strategy
Overview
Company: Digiotouch
Product: AI Meeting Assistant
Industry: AI SaaS (Productivity)
Scope: Product Launch, Market Validation & Go-To-Market Execution
Role: Product Marketing Specialist
Focus: Positioning, GTM strategy, product adoption, market expansion
Context
Digiotouch developed an AI-powered meeting assistant designed to record, transcribe, and summarise meetings while generating actionable insights.
The product operated in a fast-growing and competitive category, where many tools offered similar capabilities but struggled with clear differentiation and user understanding.
The launch was not just about acquisition, but about answering a more fundamental question:
👉 How should this product be positioned to drive real adoption?
Problem
Category saturation: Multiple AI meeting tools with overlapping features and messaging
Complexity: Users understood features but struggled to see practical day-to-day value
Unclear ICP: Initial assumptions about target users needed validation
Multi-market challenge: Product needed to scale across 4+ international markets
Without strong positioning, there was a risk of low adoption despite strong product capability.
🔹 Phase 1: Launch & Market Validation (Latitude59)
Approach
Latitude59 was treated as both a launch moment and a live testing environment.
The focus was to:
validate positioning in real user conversations
observe how different segments responded
identify gaps between product capability and perceived value
GTM Approach
Multi-channel awareness (website, email, social)
Live product demos to create immediate “aha” moments
Direct conversations to capture qualitative insights
Early pricing discussions to gauge willingness to pay
Execution
Pre-Event
Aligned messaging across website, email, and social channels
Built awareness leading up to the event
Ensured consistent positioning across all touchpoints
During Event
Delivered live demos showcasing real-time summaries and action items
Engaged with attendees to understand use cases, objections, and expectations
Captured leads and encouraged follow-up demos
Post-Event
Analysed:
demo engagement quality
recurring objections and questions
follow-up conversion signals
Synthesised insights to refine positioning and GTM strategy
Key Insights
1. Two Distinct Segments Emerged
Non-users: required education but converted quickly once value was clear
Existing users: harder to convert due to switching costs
👉 Insight: Awareness and switching require different GTM strategies.
2. ICP Expansion Opportunity
Students and educators showed strong organic interest.
👉 Insight: ICPs can emerge from real interactions, not just initial assumptions.
3. Demo Friction
Long demos limited engagement.
👉 Insight: Faster, low-friction product experiences are critical for conversion.
4. Differentiation Signal
High interest in translation capabilities.
👉 Insight: This became a key positioning lever, especially for non-English markets.
5. Early Pricing Signals
User conversations provided initial willingness-to-pay insights.
👉 Insight: Positioning and pricing validation can happen simultaneously.
🔹 Phase 2: Go-To-Market Execution & Expansion
Approach
Insights from the launch phase were used to refine positioning and scale GTM efforts.
Focus areas:
strengthening use-case driven messaging
aligning communication across markets
improving product understanding and adoption
Execution
Supported GTM execution across 4+ international markets
Collaborated with product, design, and development teams to align messaging and launches
Developed product-focused content (landing pages, blogs, campaigns)
Delivered webinars and campaigns to educate users and drive adoption
Supported lifecycle and demand generation initiatives tied to product messaging
Impact
Increased organic website traffic by 40% through search-led product content
Contributed to a 20% increase in qualified leads through messaging-aligned campaigns
Generated high-intent demo requests during launch and post-launch phases
Identified translation as a key differentiator, later used for expansion into the French market
Improved clarity and consistency of product messaging across markets
Key Learnings
Positioning drives adoption — especially in complex categories like AI
Early launches should prioritise learning over immediate conversion
GTM is iterative: insights from real users should continuously refine messaging
Clear use cases outperform feature-heavy communication
Product, marketing, and customer understanding must stay tightly aligned