n Alastar Kerpel - Validation-Based Demand Generation for AI & B2B SaaS

Building AI? Validate Demand First.

Growth marketing for AI startups and B2B SaaS. Built on proof, not assumptions.

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Why Most AI Companies Struggle with GTM

🤖 Product-First, Market-Second

You've built breakthrough AI, but buyers don't understand how it solves their problem, or why they should care now.

💬 Messaging Disconnect

Your technical depth doesn't translate to clear value propositions. Prospects tune out before understanding ROI.

🎯 Unvalidated ICP

You assume who needs your AI solution, but you haven't tested if they'll actually take a meeting or buy.

A Validation-First Approach

I run fast, focused experiments to prove your GTM strategy works before you scale campaigns, hire SDRs, or burn budget on the wrong channels.

1 ICP Validation Test who actually responds to your AI solution through real outbound, not just analyst reports.
2 Message Testing Turn technical capabilities into business outcomes buyers understand and care about.
3 Channel Proof Validate which channels convert (outbound, paid, product-led) before committing full budget.
4 Pipeline Build Scale what works: automated outbound, paid media, SEO, content systems, attribution.

What You Get

5-10
Meetings (Validation Phase)
15-30+
Meetings/Month (Scaled)
30-45%
Lower CPL vs. Standard

Automated Outbound

Email and LinkedIn sequences tailored to AI buyers. Technical enough to be credible, simple enough to convert.

AI-Specific Messaging

Translate model capabilities, accuracy metrics, and technical specs into ROI narratives that decision-makers fund.

Paid Media Strategy

Google Ads and LinkedIn campaigns optimized for AI/ML audiences, developers, data teams, and technical buyers.

SEO & AI-Native Content

Rank for high-intent AI/ML queries and create content that converts both technical evaluators and business buyers.

Product-Led Growth

Lifecycle systems for freemium-to-paid, self-serve onboarding, and usage-based conversion funnels.

GTM Systems

HubSpot setup, attribution, scoring models, and pipeline reporting built for AI sales cycles.

Testimonials

"Alastar is a talented marketer and a hard worker who consistently sets and exceeds high growth targets."

Edmund Zagorin

Founder & CSO, Arkestro

"Alastar really understands how to generate MQLs and scale. His hands-on marketing knowledge enabled growth for our team."

Steve Paskow

VP of Sales, Arkestro

"Alastar has been instrumental in growing our search engine presence."

Yelaine Wang

Founding Team Product Manager, Stempad (YC S24)

"[Alastar] played a key role in Agiloft's marketing department whether it was a focus on generating MQLs, organizing customer events, or any of the many other hats Alastar wore at Agiloft."

Jason Edwards

SVP of Sales, Agiloft

"Alastar repurposed existing content for a new channel while using AI, providing quick time-to-value. We appreciated this project and his others."

Linda Li

Marketing Manager, Intuit

"Alastar demonstrated an impressive ability to develop innovative demand generation strategies."

Nishanth SL

Demand Generation, InMobi

Who I Work With

Early-stage AI startups and B2B SaaS companies building models, agents, infrastructure, or developer tools. Teams that need to validate demand before scaling headcount or burning budget on unproven channels.

Past and current clients include startups across LLM applications, AI agents, legal AI, procurement automation, data infrastructure, and developer platforms.

Ready to Validate Your GTM?

Let's run an experiment and prove what actually converts.

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