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The Background
When a manufacturer sells a complex product, getting a sales rep, dealer, or buyer to the right configuration used to take days. A rep would work through a CPQ form with 50 or more questions, verify compatibility, and send a proposal that might arrive a week after the conversation started. By then, the buyer had often moved on.
Threekit was built to fix that. The AI quoting platform is trained on a manufacturer’s own catalog and pricing rules. A rep or dealer can prompt it, upload voice notes or photos or documents, and it returns a valid product configuration and proposal in seconds. The manufacturers who use it are not just faster at selling. Their customers, the dealers and distributors and end buyers on the other side of those quotes, get answers while they are still in the room, confident enough to move forward.
Threekit expanded from visual configuration into manufacturing CPQ. The company’s visualization technology helped buyers understand what a configured product would look like. Its guided selling and quoting platform now helps them determine which product they need, configure it correctly, and reach a valid quote.
Then the company expanded its focus. The bigger opportunity was not just showing a product. It was guiding a buyer to the right one. Threekit had the technology to do it. What it did not yet have was visibility in the category that technology created.
The Challenge
When a manufacturer today starts researching manufacturing CPQ, the process often begins before they contact a vendor. They open ChatGPT, Gemini, or Perplexity and ask which platforms are worth considering. The names those answer engines return, described confidently and cited clearly, are usually the ones that make the shortlist.
Starting from Zero in a Category That Was Already Moving
Marc Uible, VP of Sales and Marketing at Threekit, had built the company’s original category authority from the ground up. He knew what that required and what it meant to not have it. When Threekit repositioned around the AI-powered quoting platform for manufacturers, the data in the AEO dashboard made the gap impossible to ignore. In the category that now represented Threekit’s growth opportunity, they had, in Marc’s words, "basically zero visibility" in AEO and SEO.
The window for establishing that authority was not wide open indefinitely. Manufacturers representing trillions of dollars in U.S. goods were already asking answer engines which product selection, configuration, and quoting tools to evaluate. If Threekit was not part of the answer, competitors who were would define the category without them.
The Tools They Had Could Not Answer the Right Questions
Threekit had not ignored the topic. The team had access to various tools for checking where the company appeared online. But none of them gave a clear picture across the answer engines that were now shaping buyer decisions. There was no way to see ChatGPT, Gemini, and Perplexity side by side, no way to benchmark against specific competitors on the prompts that mattered most, and no clear path from what they observed to what they should do about it.
It was Threekit’s HubSpot partner, Simple Machines, that made the problem concrete. They pointed to the AEO dashboard, showed Marc where Threekit stood, and put a number on it. The number was bad. But it was specific. And for the first time, there was a place to start.
The Solution
A Single View of Where They Stood
When a manufacturer asks an answer engine which CPQ, quoting, or guided selling tools to evaluate, Threekit now knows exactly what comes back. That was not possible before HubSpot AEO.
The dashboard gave Marc’s team a consolidated view across ChatGPT, Gemini, and Perplexity. They could see which prompts Threekit was appearing in, which competitors were ranking ahead of them, and which specific queries represented the biggest gap between where they were and where they needed to be. Instead of scattered signals from disconnected tools, they had one place that showed the full picture.
Knowing What to Write Instead of Guessing
The dashboard did not just show Threekit where they stood. It showed them what answer engines were looking for when buyers asked about their category. The prompts surfaced by HubSpot AEO revealed the exact language manufacturers were using: how AI-powered CPQ for manufacturers compares to legacy CPQ, what the best alternatives look like, which platforms are built for complex dealer networks.
Marc’s team used that information to build a content plan. Blog posts, positioning pages, and thought-leadership pieces were written to answer exactly those questions, using the words and phrases the answer engines and their buyers were already using. Each piece of content was a direct response to a signal the data had surfaced.
Marc described what the AEO insights gave his team as an answer to the question every repositioning marketer is trying to answer: what does the market actually want to know right now? Not what the company wants to say, but what buyers are searching for. HubSpot AEO answered that question. Then it showed them what to create next.
Speed When Speed Was What the Pivot Required
Threekit was deep in a pivot. The marketing team was lean. There was no budget or runway for a multi-month strategy project before taking action. HubSpot AEO gave them something they could use immediately: a clear view of the opportunity and a specific list of content the data said to produce.
Marc was direct about what that meant in practice. HubSpot had done the analysis of what ChatGPT, Gemini, and Perplexity were looking for. It had turned that analysis into a recommended content plan. The team’s job was to execute it. They did not need three separate tools to report, create, and publish. They had one platform that showed them the gap and told them how to close it.
The Transformation
The Numbers Started Moving
When manufacturers search for AI-powered manufacturing quoting software, Threekit appears in the answers more often than it did six weeks ago. AEO visibility on key terms climbed from 17% to 25%. Owned domain citations, which measure how often Threekit’s own content is cited by answer engines when forming recommendations, rose from 48% to 65%.
For a company that started the repositioning with almost no presence in the category, those numbers represent real traction. The content is being cited. The answer engines are connecting Threekit to the prompts that buyers in the category are asking. The authority the company spent years building in visual configuration is starting to form again in AI-powered CPQ for manufacturers.
A Practice Instead of a Guess
What changed was not just the metrics. It was the way the team works. Before HubSpot AEO, answer engine optimization was something the team knew mattered but could not act on systematically. The tools they had gave them fragments. The fragments did not add up to a plan.
Now the team has a weekly rhythm. They check the dashboard, identify which prompts have moved and which competitors have gained ground, action the content recommendations, and track what changes. AEO went from a vague strategic priority to a specific, repeatable process with measurable outputs.
What Visibility Means for the Manufacturers Who Choose Threekit
Every time an answer engine recommends Threekit to a manufacturer evaluating AI-powered CPQ, that manufacturer’s dealers and reps are one step closer to a faster, more confident sales process. The manufacturers who find Threekit through an answer engine recommendation arrive already understanding what the platform does and why it exists. The first conversation starts further along than it would have otherwise.
That upstream visibility is what Marc set out to build. He was not interested in waiting for the right conditions or the perfect brand strategy. He wanted to know where Threekit stood, what the data said to do about it, and how to start moving. "You don’t need three different tools, one to report, one to create content, one to be a CMS and email engine," he says. "HubSpot is becoming a center of action, not just reporting. You can see exactly where you stand. The cost of starting is essentially zero."
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