About

Founder-led strategy and operations

LLM paid ads for SaaS companies, led directly by the people responsible for strategy, execution, operations, and client success.

Comic illustration of AI recommendations for SaaS

Leadership

Founder-led strategy and operations

Alex Shapoval

Co-Founder & CEO

I run the paid ads strategy and execution. Paid acquisition is what I do, and it is what I do best. My job is to help your SaaS company turn AI search intent into qualified pipeline by assessing the opportunity, building the campaign plan, setting up the ads, launching them, optimizing performance, and showing you what is working.

I am not here to hand you a theoretical deck and disappear. I help you decide where to run, what to say, how to position the offer, how to structure the landing path, and how to keep improving the campaign once it is live.

Jasmina Eicher

Co-Founder & COO

I make sure the work moves smoothly from kickoff to execution. My focus is responsive support, clear communication, organized delivery, and making sure every project has the structure it needs to succeed.

You should know what is happening, what is next, and what results we are working toward. I help keep the process tight, the details handled, the stakeholders aligned, and the experience professional from start to finish.

Office

Jersey City office

344 Grove St
Jersey City, NJ 07302

Located in Jersey City, serving SaaS companies that need paid LLM ad campaigns planned, launched, managed, and measured with clear accountability.

Map showing the Jersey City office location near Grove Street

The practice is intentionally narrow. We help SaaS companies run paid LLM ad campaigns in AI-native discovery environments.

That includes ChatGPT, Gemini-powered search experiences, Perplexity-style answer engines, Claude-style research workflows, and the broader movement toward AI assistants influencing software recommendations.

Point of view

LLM ads will not be won by copying old search ads into a chat interface. SaaS companies need to understand buyer prompts, recommendation logic, proof sources, category language, landing page paths, and pipeline measurement. The brands that prepare early will have an advantage as paid inventory becomes more accessible and competitive.

What makes the work different

It is SaaS-specific. The work is built around demos, trials, subscriptions, pipeline, ACV, implementation risk, and buying committees.
It is paid-acquisition focused. Visibility matters, but the commercial goal is qualified demand and measurable pipeline.
It is execution-oriented. We assess, plan, set up, run, optimize, and measure paid campaigns.
It is platform-aware. Each AI platform has different ad availability, user behavior, and commercial incentives.
It is honest about what exists today and what is still emerging.