Selling software into a factory is nothing like selling it into an office. Your buyer runs a plant where downtime is measured in thousands of dollars a minute, distrusts anything that touches the line, and answers to an ROI case, not a feature list. XQL is built for that sale. We are specialists at marketing high-ticket technical software to skeptical technical and operational buyers, translating uptime, yield, and payback into positioning, proof, and demand that a plant leader and a CFO both believe, and tying it to CRM-tracked pipeline through a long, pilot-to-rollout cycle.
In SaaS a bad tool is an annoyance; on a production line it can stop output, scrap product, or create a safety incident. That reality makes industrial buyers rationally risk-averse: they distrust anything unproven that touches the line, they want references from plants like theirs, and "move fast and break things" is the opposite of how they operate. Marketing that leads with novelty and speed reads as danger. What earns trust is evidence of reliability, safety, and results in a comparable environment, communicated in the buyer's language, not a disruptor's.
An industrial software deal usually needs a plant or operations leader who lives on the floor, an IT or OT security function that guards the network, and an executive who signs off on capital. They have different fears and different vocabularies: uptime and usability for operations, integration and security for IT, payback and risk for the executive. A message tuned for one alienates another, and the OT/IT divide alone kills deals. Marketing has to speak credibly to all three and move them together, which most generic B2B marketing never even attempts.
The toughest competitor is rarely another vendor; it is "we have always done it this way," a wall of spreadsheets, or a veteran engineer's intuition. Many buyers do not believe the problem is worth solving with software, or fear the change-management cost more than the current pain. Marketing has to first make the cost of the status quo visible, downtime, scrap, unplanned maintenance, lost yield, before it can sell a solution. Skip that and even a great product loses to inertia that never shows up on a competitor comparison.
Industrial buyers evaluate on payback period and total cost, and on whether your software will actually integrate with a heterogeneous mess of PLCs, SCADA, historians, MES, and ERP that has accreted over decades. A feature demo that ignores those questions gets filed under "nice, but." The marketing has to lead with quantified ROI and a credible integration story, and prove both, because a plant manager has been pitched "digital transformation" enough times to discount the phrase entirely.
Terms like digital twin, predictive maintenance, and Industry 4.0 mean different things to different buyers, and many have been burned by an expensive pilot that never scaled past one line. So you carry a double burden: educate the market on what the category actually delivers, and overcome the skepticism left by vendors who over-promised. Generic, buzzword-heavy marketing makes it worse. Precise, evidence-led content that respects a technical operator's intelligence is what rebuilds the trust the category has spent.
Industrial buyers research like everyone else now: they ask ChatGPT or Perplexity for "best predictive maintenance software for discrete manufacturing" or "MES vendors for a regulated pharma plant" before they talk to sales. The engines build the shortlist from what the web says about you. If you are absent there, you are cut before the long evaluation you can see even begins, and the incumbents the models already know get the call instead.
We are not going to claim we are controls engineers or that we have run a plant floor. We have not, and pretending otherwise is exactly what your operational buyers are trained to distrust. What we are is specialists in marketing high-ticket, high-consideration technical software to skeptical buyers on long, committee-driven cycles, across 9+ years and 60+ B2B tech companies. The industrial buyer is a sharp version of a pattern we know well: risk-averse, ROI-driven, proof-hungry, and slow to trust, with the added complexity of an OT/IT/executive committee and a physical environment where reliability is non-negotiable. Our job is to learn your product and your buyer's world fast through structured interviews with your engineers and customers, then make the uptime, yield, and payback story legible and credible to everyone who has to say yes, and to the AI engines that now shape the shortlist. We show our full portfolio here, labelled honestly, most of it software and technical-services companies, and we bring that transferable system to the factory rather than fabricating industrial logos we have not earned.
A default stack, sequenced so credibility and ROI are established before demand is created, and every layer reports into the same revenue model. We adapt it to your category, buyer, and cycle, but this is the shape that works when you are selling software into a risk-averse, physical environment.
Before spend, we replace buzzword messaging with a precise statement of the operational problem you solve, the payback you deliver, and the proof behind it, written so a plant leader, an IT/OT gatekeeper, and an executive each believe it. We map that committee and the status-quo alternative you are really competing with. Everything downstream inherits this.
We make the evidence an industrial buyer gates on easy to find and hard to dismiss: quantified payback and reference results from comparable environments, a credible integration story with existing OT/IT systems, and a clear security and reliability posture. These assets remove the fastest reasons to disqualify you, and we build them through interviews with your engineers and customers.
We own the queries where buying intent lives, the specific problems (unplanned downtime, scrap, yield loss, compliance), comparisons, and use cases your buyers search, with content that quantifies the pain the status quo hides and the depth technical operators respect. This is the compounding base most industrial vendors under-invest in.
Industrial buyers now ask assistants for a shortlist before they call sales. AI Search optimization builds the credible third-party mentions, clean entity data, and semantic context the engines rely on to name you. Across our work this drives roughly 80% AI Search recommendation success and first inbound leads from LLMs inside 30 days.
SEO and AI Search harvest existing demand; expert-led content and ABM create it. We run technical talks, webinars, and leader-driven distribution that operations and IT buyers engage with, plus account-based campaigns against your named list of manufacturers and plants, the motion that fills pipeline now while the organic engine matures.
We connect every touch to your CRM and track deals through the stages industrial sales stall in, pilot at one line or plant, security and integration review, and enterprise rollout, so a long cycle still reports on one revenue line. Reporting answers what closed and what to double down on.
Strategy first, channels second, sales feedback always. We measure by the qualified demand and revenue we can trace back inside the CRM.
Our founder led their marketing as Head of Marketing, running a 7-person team across SEO, demand gen, and paid — $1M/year in marketing revenue. Re-engaged in 2026 and halved cost per MQL and SQL.
ServicesFractional CMO · SEO · Demand Generation · Paid Ads
Senior operators on every account. Never a junior pod.
Rebuilt inbound from scratch — 100% YoY SQL growth, 207% more traffic, domain rating from 12 to 45, and 141 articles shipped.
ServicesFractional CMO · SEO · Demand Generation
“We've seen a 207% increase in web traffic and our domain rating improved from 12 to 45.”
Took a referral-only firm to a real new-business engine — 5 deals and $240K revenue from Meta in a year, plus 2–4 SQLs/month from ChatGPT.
ServicesMeta Ads · Fractional CMO · AI Search
“Their expertise and proactiveness have impressed our team.”
Positioned them as the recommended Salesforce partner inside the major LLMs — two $1M enterprise deals closed from ChatGPT in a 3-month engagement.
ServicesAI Search · Fractional CMO · Meta Ads
“They operated with the discipline and initiative of an internal senior marketer.”
Built the marketing function from zero — website, SEO, paid, AI search — from 166 to 2,513 monthly clicks and 3 enterprise deals won.
ServicesFractional CMO · SEO · AI Search · Meta Ads
“They defined a clear marketing strategy and established our unique value proposition.”
Turned Salesforce-niche SEO into a deal channel — 2.73× traffic and MQL-to-SQL conversion up from 17% to 29%.
ServicesSEO · Content Marketing
“We have started receiving our first inbound requests.”
Restructured the marketing team and shifted to lead-driving SEO — doubling client count and growing SQLs 133% in nine months.
ServicesSEO · Fractional CMO
Switched them from brand-awareness content to lead-driving SEO — 20 of 25 service pages ranked top 5 and the first deals closed from organic.
ServicesSEO · Fractional CMO · Content Marketing
“XQL Group's marketing expertise is a hallmark of the engagement.”
Stood up SEO as a new acquisition channel — domain rating 27 to 44, 50+ leads, and 88 articles in nine months.
ServicesSEO
“Their subject matter expertise is highly impressive.”
After six months of zero results from another agency, we delivered +70% Google clicks and grew AI-assistant traffic from 10 to 154/month in three months — and the first SQLs from SEO.
ServicesSEO · AI Search
Meta appointment funnels at scale — 466 leads and over 100 booked sales conversations from a single paid channel.
ServicesAppointment Funnels · Meta Ads
“They've brought structure, strong execution, and constant initiative.”
Set up marketing from zero — positioning, website, LinkedIn social selling, and an ABM campaign that landed four new clients fast.
ServicesFractional CMO · ABM · LinkedIn
“Their ability to combine strategic vision with hands-on execution was particularly valuable.”
Positioned a small studio in a niche AI-search category — recommended by LLMs for 2 commercial keywords, landing a big client in one month.
ServicesAI Search · AEO/GEO · Website
“They knew how to approach AI search practically, not just in theory.”
Recommended by every major AI assistant for 3 commercial keywords, plus a deal closed from Meta appointment funnels.
ServicesAI Search · Appointment Funnels
“What impressed us most was their deep specialization with software development companies.”
Positioned for an important commercial keyword and recommended by the major AI assistants within a single month.
ServicesAI Search · AEO/GEO
Took over marketing as their agency after an unsuccessful in-house run — GTM strategy, paid funnels, AI search, and LinkedIn delivered 75 leads and the first qualified pipeline.
ServicesFractional CMO · GTM Strategy · Appointment Funnels · AI Search
A targeted ABM campaign booked 13 conversations with ICP accounts and opened three opportunities in two months.
ServicesABM
Repositioned the agency, revamped the site, and built appointment funnels that booked qualified intro calls at just $34 each.
ServicesAppointment Funnels · Positioning · Website
A custom AI-assistant paid funnel produced 76 leads and 34 booked appointments at $123 per call with an ICP.
ServicesAppointment Funnels · Meta Ads
Meta appointment funnels delivered 35 leads at a $42 CPL and closed two deals on modest spend.
ServicesAppointment Funnels · Meta Ads
The same standard applies to every market we work in: we measure marketing by qualified demand, accepted sales conversations, and revenue traced back to marketing inside the CRM.
Thanks to XQL Group's efforts, we've seen a 207% increase in web traffic and an improvement in domain rating from 12 to 45. The team has successfully optimized our SEO strategy and gained around 160 backlinks. Overall, they're responsive and thorough in their project management.
Since working with XQL Group, our domain rating has improved from 27 to 44. In addition, we've seen a 15% increase in monthly traffic within nine months. The team completes work on time and within the agreed budget. Moreover, their subject matter expertise is highly impressive.
XQL Group's efforts have resulted in 44 leads from paid campaigns and improved web traffic from Germany by 5x. The team is responsive, quickly surfaces issues, and communicates regularly through chats and virtual meetings. Their expertise and proactiveness have impressed our team.
Organic traffic has increased by 10–15% each month, and we have started receiving our first inbound requests. XQL Group's optimization tips have also helped improve keyword rankings, and internal stakeholders are impressed with the team's collaborative approach.
XQL Group has successfully defined a clear marketing strategy and established our company's unique value proposition. The team has also helped hire critical specialists for our marketing team. They are communicative and organized, and their expertise in the tech industry is impressive.
Thanks to XQL Group's efforts, we have defined our marketing strategy and hired key developers for our website. The team has launched retargeting campaigns on LinkedIn and developed a strong content marketing strategy. XQL Group's marketing expertise is a hallmark of the engagement.
They were not just talking about AI search in theory; they knew how to approach it practically.
What impressed us most was their deep specialization in working with software development companies.
They've brought structure, strong execution, and constant initiative to improve outcomes.
They operated with the discipline and initiative of an internal senior marketer.
Their ability to combine strategic vision with hands-on execution was particularly valuable.
Their focus on results and true interest in making things work set them apart.
XQL Group's project management was exemplary.
The quality of their work is consistently high.
It is a B2B marketing agency built for companies selling software into manufacturing and industrial environments, MES, predictive maintenance, digital twin, industrial analytics, cybersecurity, and the like, where the buyer is conservative, the sale is ROI-driven and committee-based, and the stakes are physical. That is a different discipline from marketing office SaaS: the message has to prove reliability and payback to operations, IT, and executives at once, overcome the status quo, and show up in the AI-driven shortlist. XQL specializes in that sale and ties it to CRM revenue.
No, and we will not pretend to be, because your operational buyers screen for exactly that. We are experts at marketing high-ticket technical software to skeptical, ROI-driven technical buyers on long cycles. We learn your product and your buyer's world fast through structured interviews with your engineers and customers, then make the uptime, yield, and payback story credible to everyone on the buying committee and to the AI engines that shape the shortlist. You own the domain; we make the market understand why your software pays back.
Because the buyer pattern is the constant. A conservative, ROI-driven technical buyer on a long, multi-stakeholder cycle who gates on proof behaves like the technical buyers we have marketed to for years; the industrial context adds OT constraints and a higher trust bar, not a different playbook. We show our full portfolio honestly labelled rather than inventing industrial logos, and we bring the transferable system, the ROI proof, the AI-search presence, the committee-aware messaging, that produced those results.
By building distinct, connected messaging for each and moving them together. Operations cares about uptime, usability, and whether it disrupts the line; IT/OT cares about integration and security; the executive cares about payback and risk. We craft proof and content for each, then sequence the campaign so the plant champion, the IT gatekeeper, and the economic buyer advance in step, because in industrial deals a message that wins one and ignores another stalls at the OT/IT divide.
Yes, and it is one of the most important jobs here. When the real alternative is inertia, marketing has to make the hidden cost of the status quo visible, quantified downtime, scrap, unplanned maintenance, lost yield, before it sells the solution. We capture the search and AI-search demand around those pains, publish content that quantifies them, and build the ROI case that reframes 'do nothing' as the expensive option. That is how you beat a competitor that never appears on a feature comparison.
We treat them as the headline, not the appendix. Industrial buyers evaluate on payback and on whether you integrate with their PLCs, SCADA, historians, MES, and ERP, so we lead with quantified ROI and a credible integration story and back both with reference results from comparable environments. Getting those front and center, in the buyer's language, is what moves you from 'nice demo' to a funded pilot.
Paid and ABM can book qualified meetings within the first month or two; SEO and AI Search typically show traction in 4 to 6 months and compound over 6 to 12, and industrial deals close later because of pilots and rollout. We report against your CRM, pipeline created, SQLs, and closed-won tracked through pilot and rollout, not traffic. That discipline is how our portfolio reached $30M+ in CRM-tracked marketing-led revenue, 2.4x organic traffic in 9 months, and 133% SQL growth per quarter.
Bring your offer, channels, and revenue goals. We'll show you where the biggest growth constraint is and what to build next.
For B2B tech companies selling complex expertise to serious buyers.
I’m Danylo, founder of XQL. For 9+ years I’ve helped B2B tech companies turn technical expertise into pipeline — 60+ clients and $30M+ in CRM-tracked revenue.
30 minutes, no deck. Bring your offer, channels, and revenue goals — I’ll come with a read on where your biggest growth constraint is and what to build next.
