Services · AI companies
Go-to-market for AI companies: customers, partners and investors.
Updated 26 September 2026
Go-to-market for an AI product means deciding who will pay for it first, reaching them with a reason that isn't "it uses AI", and opening the partner and investor conversations the first customers make possible. Two of Scipioform's three engagements were for AI companies, and between them they covered all three: customers, partners and investors.
Why AI products are hard to sell right now
Almost every software pitch now mentions AI, so the word has stopped telling a buyer anything. What still works is specific: this task, for this person, done this way, with this evidence. The common mistake is selling a capability to everyone instead of an outcome to someone.
So the first decision isn't a channel. It's which use case and which buyer to win first, and which ones to say no to for now. See how we make that call on a sample company · A one-page go-to-market template
Three kinds of demand an AI company needs
Customers
The first buyers for one use case, reached with the job your product does for them, and handed to you as conversations.
Partners
The platforms, integrations and resellers whose customers are already yours to win, approached with a reason to work together.
Investors
The investors who back companies at your stage and in your category, and the events worth being in the room for.
What the work includes
- Pick the first use case and buyer. Which job, for which role, in which kind of company, and which tempting segments to leave for later. Written down in the diagnostic, for one fixed fee, refunded in full if you don't find it worth acting on.
- Lead with the job, not the model. Buyers now hear "AI" in every pitch. Outreach that names the work your product takes off someone's desk, and what that person does instead, gets read. You approve every message before it goes out.
- Open the customer conversations. Outbound from separate secondary domains, never your primary domain, with volume and warm-up set in writing. Replies that meet the definition of qualified we agreed with you go to you.
- Open the partner and investor conversations. The same method, pointed at partners and investors, when the diagnostic says that is where your next demand should come from.
- Report it with denominators. Every result as "X from Y", including the misses, so you can see which segment and which message are working.
What we've done for AI companies
- iqprompt, an AI/SaaS product company: investor relations, strategic partnerships, event handling and branding.
- Inotexel, an AI software & digital-product development studio: lead generation for its own development services. How we work with development studios
Both clients hold the performance data and haven't shared it with us, so we don't publish figures. From now on, every result is reported with its denominator. The work, field by field
Questions
We are an AI automation agency, not a product company. Is this for us?
It can be. For B2B service companies that already know who they need to reach, we run an outbound-only engagement: the same founder-led team, a narrower scope, straight to the pilot.
Who owns the leads and the setup?
You do. Any lead, reply or conversation generated inside a paid engagement belongs to you, and everything is built in your own accounts and domains. If you leave, you get a written handover.
How is it priced?
We price by the problem, not by the hour or the appointment, and never per meeting booked. Our fee levels aren't published yet; your fee is quoted as a fixed figure, in writing, before anything is signed.