NotebookLM + Descript: Rich Media Creation, Reimagined
NotebookLM and Descript collapse the gap between notes and media, turning ideas into polished audio and video faster...
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Thought leadership and insights from those on the frontlines of GTM
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From Handoff to Handshake: Fixing GTM Velocity Upstream
GTM velocity stalls long before quoting. Learn why upstream clarity, execution, and system design (not just CPQ)...
Playing with Anthropic’s Sonnet 4.5
Anthropic’s Sonnet 4.5 promises stronger coding, agent workflows, and computer use with 200K context and new tools....
Sept Release: New Era of Strategic Intelligence
Selling has never felt less strategic. GTM teams don’t need more tools, they need intelligence that drives execution and...
How AI is Rewiring the Revenue Engine
AI is transforming RevOps from data plumbing to revenue orchestration. That is shifting chat to agents to orchestration...
Dreamforce 2025: A Pre-Mortem for the Age of the Agentic Enterprise
Dreamforce 2025 isn’t just another tech show, it’s a referendum on the Agentic Enterprise. Here’s your pre-mortem guide...
The Sales Playbook Isn’t One-Size-Fits-All
Not every sales playbook works in every situation. Discover how top frameworks like SPIN, Challenger, and MEDDIC apply...
Lancelot Partners with GTM Engine for London Expansion
GTM Engine expands to London with Lancelot, led by Dominic Cross, to drive EMEA growth. Plus, meet us at Technology for...
Clay vs Apollo.io: The Lead Showdown
Clay vs Apollo.io: Two powerhouse platforms with fundamentally different approaches to B2B sales intelligence. One...
Revenue.io vs. Orum: Intelligence vs. Speed
Revenue.io bets on intelligence, Orum on speed. One builds coaching cultures, the other fuels hustle. Which sales...
Momentum vs. Accord: Sales Workflow Automation vs. Deal Collaboration
Momentum prevents seller mistakes with automation, while Accord guides buyers with collaboration. Which matters more,...
Gong vs. Avoma: Depth vs. Breadth in Conversation Intelligence
Gong delivers depth and boardroom-ready analytics, while Avoma offers breadth and meeting-wide utility. Depth or...
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Your Sales Pipeline on Autopilot
Automate Every Interaction for Revenue Growth
1
Collect Data
Every email, call, and calendar invite is auto-captured. No rep is left with data entry.
2
Process Data
GTM parses intent, entities, and sentiment, turning noise into CRM-ready structured data.
3
Enrich Deal
Continuously updates sales qualification fields (e.g., MEDDICC, SPICE, etc.), stakeholder maps, and key dates in real time.
4
Score Deal
Objective health score + reasons, refreshed after every interaction.
5
Analyze Deal
Flags who's missing, which requirements are vague, and where momentum stalls.
6
Sales Execution
Triggers nudges to reps with next-best actions and automates low-value work.
7
Forecasting for Individuals & Teams
Risk-adjusted close dates roll up instantly for leadership accuracy. Closed-won/-lost feeds the model, tightening every loop for the next deal.
GTM Engine is a Pipeline Execution Platform that automatically analyzes unstructured customer interaction data (like calls, emails, CRM entries, chats) and turns it into structured insights and actions for Sales, Marketing, Customer Success, and Product teams.