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For AI Companies

Growth Marketing for AI Startups

AI made building cheap. It did not make attention cheap. The companies that win the next decade are the ones that figure out distribution before forty competitors saturate every channel. We build the paid acquisition, creative production, and activation systems that compound while the noise grows.

300%

BENlabs lead increase YoY

$2.59

Zencastr CAC (from $34)

$50M+

managed ad spend

What We Do for AI Companies

01

Static ads do not work for AI products. The value is invisible until you see the product run. We build paid acquisition systems where the demo video is the creative, where trust signals carry three times their usual weight, and where the conversion window is compressed to seven days because the "wow" decays in a category that launches forty competitors a week. See how we run paid media →

02

AI Performance Creative as competitive moat

If your AI product has forty competitors, the one that outproduces the others on Meta, TikTok, and YouTube wins paid acquisition. We use Nano Banana Pro, Flux, Seedance, and Lovart to produce hundreds of variants per month at a fraction of traditional creative cost. That is not a content workflow. It is a moat against teams still producing four variants a month. See how AI creative works →

03

Trial economics under inference cost

Classic SaaS trial math assumes eighty percent gross margin. AI products run forty to sixty percent once inference is loaded in, which collapses the standard twelve-month CAC payback playbook. We model the actual unit economics of your product (gross margin per heavy user, marginal inference cost, paywall trigger) and build paid budgets and trial designs that the math actually supports. See growth strategy →

04

Activation when the output is non-deterministic

Standard onboarding sequences assume the user gets the same result every time. AI products do not work that way. The same prompt can produce a great or mediocre output, which means activation is probabilistic, not linear. We build lifecycle and in-product flows that account for the variance and move users through the prompts and use cases that actually predict paid conversion. See lifecycle and retention →

The Playbook

AI Performance Creative: the 2026 playbook

The full operating model for AI Performance Creative: the workflow, the economics, the 2026 tool stack, and how to stand up the pipeline inside thirty days. The post most AI startups should read before spending another dollar on creative production.

Read the AI Performance Creative playbook
Great fit

AI companies with traction and a self-serve motion

You have product-market signal, a free trial or freemium motion, and the budget to test paid acquisition seriously. Your category is filling up fast and you need distribution before it saturates. You are not looking for a generic SaaS agency to bolt "AI" onto a 2019 playbook.

Not the right fit

Pre-revenue or pre-PMF AI startups

If you are still finding the product, you need a different kind of help. The systems we build assume you have traffic to test against, paid budget to allocate, and signal worth amplifying. Companies still in the discovery phase are better served by founder-led distribution and a different sort of advisor.

"The Remarkable is a growth and advertising powerhouse. Their data-driven approach and relentless optimization transformed our campaigns. They don't just run ads — they build systems that compound results over time."

Mike Fard

AI Marketing, Intel

Ready to build distribution before the channel saturates?

Let's diagnose your acquisition, creative production, and trial economics together.

Get in Touch →

Typically responds within 24 hours

Last updated: May 2026