For AI companies

Make the market understand what you built.

Product velocity runs ahead of comprehension. Spektra engineers distribution that shows what the product does, to the audiences that need to see it.

AI companies often ship faster than their markets can understand them. The result is a familiar gap. The product is genuinely capable, and few people outside the building understand what it does or why it matters. Announcements land, spike, and decay within days. Capability does not equal adoption.

The constraint

The scarce thing is not the product. It is comprehension. One release often serves several audiences at once: developers, buyers, operators. Each needs a different entry point into the same capability. Treated as a single message, the launch reaches all of them and lands with none.

How the loop adapts here

Distribution for AI is demo-driven. The system turns one product into many honest demonstrations. Each is built for the surface it runs on and aimed at a specific audience. Response is read as data: which demonstrations pull developers, which pull buyers, which make the category click. That reading shapes the next wave, so understanding compounds instead of resetting with every announcement.

What a first engagement looks like

We start with one source, one defined objective and an initial set of audience hypotheses. These usually form around a launch or a feature the market has not grasped. The first cycle establishes which demonstrations move branded search, product traffic and first use. Then the programme expands to more audiences and surfaces.

When it applies

You will recognise at least one of these.

  • 01A launch entering the marketmatch
  • 02A feature the market has not understoodmatch
  • 03Developer and enterprise audiences needing separate entry pointsmatch
  • 04A category the company must become associated withmatch
How it is measured

One objective, one primary measure.

Signals read on this engagement

Branded search, product traffic, signups, first use, feature adoption, demos and community joins.

Revenue attributed
Only where the client's tracking can carry it end to end.
Not claimed here
Business signal
Signups, saves, streams or whatever the objective defines.
Primary measure
Audience response
Saves, follows, comments and repeat exposure.
Also reported
Placements and verified views
Always instrumented, on every engagement.
Also reported
05 · FAQ

What to know before you start.

The practical questions people ask before getting started.

Distribution Engineering helps a product, release, catalogue or story get seen, understood and remembered. Spektra adapts it for different audiences and formats, distributes it through an operated network and uses the response to decide what happens next.

Spektra works with people and organisations that have something worth distributing, and who need help getting it in front of the right people. That might be a product, release or catalogue, or a company, founder, public figure or body of IP. We work as a private B2B partner, not self-serve software.

There needs to be something real to work with, a clear reason to distribute it, and room to test and act on the response. We look for a product, release, catalogue or story with upside, a defined objective, and the budget and time to learn what works.

That is something we look at case by case. We can work from what you already have, or plan around its limits, and where it makes sense we help create and extend the material. The discovery call is where we work that out.

It depends on who needs to see it and what you want to achieve. We work where the audience already spends time, and that decides the platforms and the formats. No project is forced into the same plan.

We start with a discovery call, then agree a scope. The first cycle is 90 days. One thing to move, one objective, one main measure. It shows us which approaches are worth developing before we expand.

We measure what matters to the objective. That covers views, where people came from, saves, streams, follows, qualified traffic and leads. Attributed revenue is included where tracking supports it. Views tell us what was seen, not what it earned. The response helps decide what to do next.

We use platform analytics and the measure we agree at the start. We share the reporting with you. It shows what was observed and what was inferred.

Paid ads buy attention for a set budget. Social management keeps owned channels active. Spektra adapts the work and distributes it organically. It measures the response in one operated system. It can work alongside those channels, but it is not another version of them.

We agree the goal and main measure at the start. The first 90 days show what is getting a response. Which messages, which audiences, which platforms. We cannot promise a fixed number before we have run the first cycle.

Bring us what you want to distribute and what you want it to achieve, along with anything you already know about how people respond to it. We also need the access and approvals to understand the starting point.

Our minimum engagement is $25,000 per month. We set the final scope and total investment after a discovery call, based on what you want to distribute, the goal, the starting point and how much testing is needed. We set that floor from experience: work below it has not left enough room to test properly or to make a meaningful difference. Some teams already spend more than that on paid ads or sponsorships, and for them Spektra may fit the organic distribution layer.

We use the response to change what comes next. The messages, the audiences, the formats. The first cycle finds what is working. It decides what is worth scaling. It does not promise a fixed outcome.

We need to know what you own, or have permission to use. Where it can run, and for how long. You keep control of approvals. We work within the rights and claims you can stand behind.

Tell us what is not travelling.

Include the source, who needs to see it and what is getting in the way. We confirm scope and the primary measure after a discovery call.