Engineering leads now ask an assistant which AI tool to trust. The answer needs pages to work from. What the software does to one step of the work, what it connects to, and how its output is checked.
Throughline reads what the assistants tell engineering buyers each week, and which pages they lean on. A growth strategist sets the plan, and we draft the ones that are missing.
This page is for seed to growth stage vertical AI companies. You sell into building design, construction, data centres, infrastructure or manufacturing.
You might automate design, estimate from drawings or check models. You might watch machines, inspect quality or plan maintenance.
Your buyer is an engineering director, a head of BIM, a COO or a plant manager. The people who check the work are engineers who carry the liability.
They trust references from firms like their own. Before they agree to a pilot, they ask an assistant.
In most of these categories the answers are still thin. They name general tools or the big design-software suites, because nobody has written the page for the specific question.
Where is the company named, question by question?
An engineering lead asks for a kind of tool, not a company. In a young category the answers are still being written. The company with the clearest page tends to be the one named.
What does Throughline read for a vertical AI company?
Once you connect them, your own tools come first. The CRM shows every pilot, who asked for it and what they were told. Product analytics shows which pilot accounts ran a first project end to end.
Search Console compares workflow searches with branded ones. LinkedIn shows which posts engineers and their managers engaged with.
Then come the questions. Each week the watch asks ChatGPT, Claude, Gemini and Perplexity what an engineering buyer asks before a pilot.
Which AI tools speed up this design step? Which read our CAD or BIM files and connect to our machines? Are our drawings or plant data used to train the model? What should a COO check across sites?
It asks in English, and in Swedish where engineers do, such as “Vilka AI-verktyg hjälper teknikkonsulter att automatisera VVS- och elprojektering?” Each answer is saved with who it named and which pages it used.
Then the trade. Engineering buyers follow trade press, standards bodies and the design-software ecosystems. The scouts watch them for rival launches, new plugins and rule changes that send buyers looking.
What do we find when engineering leads ask an assistant?
The findings follow the path an engineering buyer takes. First the question, then the proof, the pilot and the rollout. Each one says where it was read and what could make it wrong.
Pilot requests moved with views of the worked-example pages, not with the homepage.
Each new example was followed by more pilot requests, while the homepage stayed flat. Engineers want to see the work done once before they try it.
Engineers ask more and more which tools automate model checking. The answers name general platforms. The company has no page for that workflow.
The question is growing and nobody owns the answer yet. In a young category, the first clear page has room to become the one that gets quoted.
Pilots stalled in the weeks the client’s IT and security questions took longest to answer.
Slow answers and stalled pilots rose and fell together. Answers that are ready before the pilot starts remove one reason to wait.
What do we draft for an engineering audience?
We draft the pages an engineer checks before a pilot. We write the way engineers write.
Each workflow gets a worked example, built from a sample model, an anonymised run, or a customer project with written permission. It shows the input, the output and what was checked by hand.
There is a page for the files and data the software reads, like IFC and DWG files or PLC and SCADA data. There is a page on accuracy that says where the model is reliable and where it is not.
The client’s IT team gets a page on how drawings and plant data are handled, and whether anything touches the plant network. Short clips from a project walkthrough come after.
A growth strategist on our team plans each piece, directs our agents through your own material and edits every line. Each draft arrives in your site’s own format, ready to publish.
An engineer on your team approves anything technical. Nothing goes live without that yes.
Every page is tested against the questions engineering buyers ask before it goes live. A week later it is read again.
- PageWorked example, one design workflow end to end$6.40
- PageIntegrations with CAD, BIM and machine data$6.40
- PageAccuracy and limits, in plain words$6.40
- BriefBriefing notes for a trade-press article$2.60
- Video45s from a project walkthrough$10.80
- SocialThree posts for the founders, from the walkthrough$0.90
The amounts are the machine cost of each draft, made under your growth strategist’s direction. Your approval comes after. If a draft takes more runs to get right, those runs are on us.
Which numbers move, and by how much?
In a young category the answers are open. The assistants name whoever has the clearest page for a workflow. For most engineering workflows, nobody has written it yet.
Those answers move when each workflow has a worked example and an honest page on accuracy. They move faster when the IT team’s questions already have plain answers.
How fast depends on how many workflows the product covers, and how many examples you can show.
We check the answers every week. They move month over month, not week to week, so your receipt reads them by the month.
| The number | How it moves | What the size of the move depends on |
|---|---|---|
| Answers that name the company for its workflows | From missing to named, workflow by workflow | How many workflows can be shown, from samples, anonymised runs or permitted projects |
| Pilot requests that name an assistant or a search | Recorded at the request, and rising with the examples | Whether the request form asks |
| Pilots that reach a first finished project | Rises as the examples answer the first week | How long setup takes today |
| Days a pilot waits on IT and security questions | From weeks to days, with the answers on one page | How many clients ask outside the standard set |
| Time from a release to the page that explains it | From months to the same week | How releases are written up today |
The incumbents are named because their names are everywhere. A clear page for one workflow is open to any company that writes it.
What happens in the first thirty days?
- Week 1The weekly watch of what engineering buyers are told begins from your public pages. No access is needed. The CRM, product analytics and search connect when you choose.
- Week 2Your Visibility Plan arrives. It shows each workflow question, who is named, which pages the answers use, and which gaps to close first. Once your tools are connected, it also shows where pilots stop.
- Week 3The first worked example, the accuracy page and the data page are drafted. An engineer checks them and you approve.
- Week 4The first receipt arrives. It shows what shipped, what it cost and what moved.
Questions people ask
Engineers sign for their work. How do you write about accuracy without overclaiming?
Each page says what the model does, what it was checked against and where an engineer still decides. Your engineer approves every one.
Our buyers are conservative. Do they really ask an assistant?
Often the engineer or coordinator asked to build the shortlist does. They also ask it what to check before a pilot. The watch shows which questions come up.
We sell in Sweden and the US. Which language do you watch?
Both. Engineers ask in their own language and the answers often differ. So the watch runs English and Swedish questions side by side.
Who on our team approves the work?
Usually a founder, with an engineer checking anything technical. Every approval happens in one queue.
Where do we start?
With the AI visibility check. A growth strategist reviews how AI assistants see your company and replies within two business days. A call then sets the scope.