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Stop being the handoff between your strategy, content and campaigns

Give an AI go-to-market agent your website and a goal. It works out who you're for and what to say. Then it creates the pages, posts and ads, and launches the campaigns you approve. It also measures real responses against what it predicted.

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You approve what launches. Nothing goes out beyond the limits you set.

  1. Website + goal
  2. Recommended message and channels
  3. Created assets
  4. Approved campaign
  5. Real responses compared with the simulation
Illustrative workflow, not a product screenshot.

You built the product. Now every marketing step waits on you.

You've built a product, and now you need your first paying customers.

You figure out who it's for, write the message, turn it into a landing page and a few posts, set up ads, and then check what worked. Each step depends on you carrying context from the last one. When you get pulled back into the product, the work stops. The strategy doc never becomes a campaign, and the campaign never gets compared with the plan.

What a SaaS marketing strategy actually needs to answer

A SaaS marketing strategy answers a few questions: who the product is for, what you say to them, where you reach them, and how you'll know it worked. The hard part for an early-stage founder is rarely writing the answer down. It's carrying that answer through every page, post and campaign, and then checking it against real results.

From website to measured campaign in four steps

  1. Give it your website and a goal.

    The agent analyzes your website, offer, audience and proof, then recommends a goal, a message and a channel mix.

  2. It creates the assets from one shared memory.

    Calculators, landing pages, posts, articles and ad creative all draw on the same understanding of your business, so your message stays consistent.

  3. It tests messages before you spend.

    The agent compares messages with AI-modeled buyers. Treat these results as a hypothesis, not a prediction you can bank on.

  4. You approve, it launches, then it checks.

    Approved campaigns go out through your connected accounts. The agent then compares real responses with the simulation, so you can see where the hypothesis held and where it didn't.

    SimulatedReal

What changes when one agent carries the work through

What it won't do

It won't promise you customers. The agent doesn't guarantee results.

It won't pass off a simulation as a forecast. AI-modeled buyers give you a hypothesis to test, and real responses are what count.

It won't act on its own. It does only what you allow, within the limits you agree on.

Questions before you sign up

How is it priced?+

Pricing is discussed per plan and usage. Third-party costs are separate.

Does it guarantee customers?+

No. It helps you decide what to say and where, creates the assets, and launches what you approve. It doesn't guarantee customers or results.

What is a simulation?+

A simulation is a hypothesis. The agent compares your messages with AI-modeled buyers to suggest what might work. Then it compares real responses with that simulation, so you can see where it was right and where it wasn't.

What can it do without my approval?+

Only what you allow, within the limits you agree on. Campaigns launch through your connected accounts once you approve them.

Hand off the follow-through, not the decisions

You decide the goal and approve what launches. The agent turns your website into a recommended message and channel mix. It creates the assets, launches what you approve, and shows you how real responses compare with the plan. Start with your website and one goal.

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