Choose the first customer
Find the narrow segment with the strongest pain, urgency, ability to adopt, and reason to believe.
The PMF Guy | Founder-tested frameworks
Zero-to-one growth playbooks for AI startups.
Practical frameworks for finding product-market fit, choosing a GTM wedge, earning trust, and turning early demand into a repeatable growth system. Built from 12+ years operating and advising AI and SaaS companies across India, the United States, and global markets.
Direct answer
What is a zero-to-one growth playbook?
A zero-to-one growth playbook is the sequence that moves a startup from a working product to repeatable demand. It connects customer selection, positioning, product-market fit evidence, channel testing, activation, retention, and distribution into one operating system.
It is not a fixed list of tactics. A useful playbook identifies the company's current constraint, selects the fastest credible way to learn, and changes as evidence improves.
Operating system
Five decisions before you try to scale.
The order matters. Scaling a weak position or an unproven retention loop only makes the uncertainty more expensive.
Make value legible
Turn product capability into a specific outcome the customer recognizes and can evaluate quickly.
Define PMF evidence
Track activation, repeated use, retention, referrals, willingness to pay, and pull from a clear segment.
Test one distribution wedge
Choose the channel that can produce the next missing signal, not the one that is currently fashionable.
Turn learning into a system
Connect acquisition, activation, product feedback, retention, proof, and expansion so each cycle improves the next.
Playbook library
Read the framework, then inspect the execution.
These resources cover the channel choices, trust mechanics, and operating sequence behind zero-to-one growth for AI companies.
PMF validation
Read guide →
GTM strategy
Read guide →
Case study
Inspect case →
GTM Channels for PMF Validation: What Works for AI Companies
How creators, content, SEO, founder-led sales, and product-led distribution can test positioning, solve the cold start, and validate demand.
The GTM Playbook for AI-First Startups
Three distribution channels, how to sequence them by stage and category, and why trust is the central constraint for many AI products.
Emergent: $0 to $20M ARR in 120 Days
How an influencer-first GTM motion helped a YC-backed AI startup grow in the US market with $0 spent on Google and Meta ads.
Channel selection
Match the motion to the uncertainty.
Each channel is useful when it resolves a specific problem. The goal is not maximum activity. It is faster learning with credible customer evidence.
Current problem
Useful first motion
Evidence to watch
ICP or pain is unclear
Founder-led conversations and narrow outbound
Repeated pain language, urgency, conversion, willingness to pay
The product needs demonstration and trust
Creators, experts, and use-case-led content
Qualified activation, branded search, direct traffic, proof reuse
Demand already exists
Search content and high-intent landing pages
Non-brand discovery, assisted conversion, sales-qualified intent
Value is fast and naturally shared
Product-led activation, referral, and collaboration loops
Time to value, retained activation, invitations, organic expansion
Why trust the playbooks
Built by an operator, not assembled from generic advice.
$20M ARR
Emergent in 120 days
Gaurav architected the influencer-first GTM strategy that helped Emergent reach $20M ARR, with $0 spent on Google and Meta ads.
Read the full case study
Gaurav Singh Bisen
The PMF Guy | AI Growth AdvisorGaurav is a Bengaluru-based founder, growth operator, and GTM consultant with 12+ years of experience. He advises US-based and global AI startups remotely and is the Founder and CEO of Masonry AI.
Frequently asked
Zero-to-one growth, answered.
What is a zero-to-one growth playbook?
It is the sequence of decisions and experiments that moves a startup from a working product to repeatable demand. It connects the first customer, positioning, PMF evidence, channel testing, activation, retention, and distribution.
Which GTM channels help AI startups validate PMF?
The best first channel depends on the product and the evidence you need. Founder-led sales is useful for complex, high-value workflows. Creators and experts can demonstrate unfamiliar AI products. Search captures existing intent. Product-led loops work when users can reach value quickly and share or collaborate naturally.
How is a growth playbook different from a marketing plan?
A marketing plan usually organizes campaigns and channels. A zero-to-one growth playbook starts earlier. It links market selection, product value, positioning, activation, retention, and distribution so the company learns what deserves to scale.
Can a Bengaluru-based growth advisor help a US startup?
Yes. Gaurav is based in Bengaluru, India and works remotely with US-based and global AI founders. His work includes US market entry, product-market fit, zero-to-one GTM, creator-led distribution, and product-led growth.
Need the playbook adapted to your product and market?
I take on a small number of remote advisory engagements with US-based and global AI startup founders. Share your product, stage, target market, traction, and the growth decision you need to make.