[2026] AI Go-To-Market Playbook for Founders & GTM Engineers

You built an AI product. Now what?

Most AI startups fail not because of bad technology, but because they never figure out how to sell it. This course gives you the complete go-to-market playbook for AI products in 2026 — from finding your first 10 customers to building a repeatable revenue engine.

Built by a founder who has done it — from scaling AI-native products at Quboid to launching AI risk insurance at Keel, and leading growth at Flipkart and OYO. This is the exact playbook used to close enterprise deals, build partner channels, and go from zero to paying customers.

What you will learn:

Growth Hacking Fundamentals: Real case studies from Airbnb, Dropbox, and Hotmail — adapted for AI product distribution. Learn why creative GTM thinking beats big budgets every time.

AI Buyer Psychology: How to identify Pain Qualified Segments (PQS) — buyers actively experiencing the problem you solve. Map the complete AI buyer journey from awareness to enterprise deal.

GTM Experimentation: Design, run, and measure growth experiments. Test outbound messaging variants, optimize conversion funnels, and build a data-driven GTM engine.

Conversion Engineering: Build high-converting landing pages for AI SaaS. Master the Signal-to-Pipeline framework, 18 conversion optimization techniques, and AI-powered email sequences that actually convert.

Advanced Growth Plays: Growth loops, community-led growth, product-led growth, gamification, and referral programs specifically designed for AI products. Plus 50 GTM frameworks and playbooks.

AI Prompt Engineering for GTM: The C.R.A.F.T. prompting framework, AI content creation, customer segmentation, marketing automation, personalization, and predictive analytics — all applied to go-to-market.

Complete GTM Strategy: The FIND Framework for AI product distribution, ICP identification, GTM roadmaps, pipeline analytics, and building a sustainable growth engine.

Bonus Content: Comprehensive guides on SEO, Google Ads, email marketing, content marketing, social media, HubSpot CRM, Shopify, and 50 revenue models. Plus startup resources, AI resume optimization, and LinkedIn growth strategies.

This course is for:

AI startup founders stuck between great demo and actual revenue. GTM engineers and growth operators building outbound systems with Clay, HubSpot, and AI tools. B2B SaaS leaders launching AI features who need a repeatable go-to-market engine. Career switchers targeting the GTM Engineering role — the highest-demand growth role of 2026.

What makes this different:

No fluff. No generic marketing slideshows. Every module includes real campaigns, real numbers, and actionable templates you can deploy the same week. 95 lectures, 7 assignments, and over 6 hours of content — taught by an IIT Kharagpur alum who has built GTM engines across fintech, insurtech, loyalty, and AI.

Stop building in a vacuum. Learn to sell what you have built.