Sensing and photonics is sold on performance under real conditions and designed into someone else's system over months or years. Your buyer is an engineer or integrator who lives in datasheets, test data, and application fit, not marketing language. XQL is built for that. We are specialists at marketing deeply technical products to engineer and integrator buyers on long design-in cycles, turning range, resolution, accuracy, and environmental robustness, plus application proof, into positioning, account-based demand, and discoverability, and tying it to design-ins and revenue in your CRM.
A LiDAR unit, a camera, a MEMS sensor, or a photonic component is rarely the end product; it gets integrated into an autonomous vehicle, an instrument, a factory line, or a defense platform. That means your buyer is an engineer or integrator evaluating fit, interface, and integration risk, and your success is measured in design-ins that play out over the host product's development cycle. Marketing has to speak to how you slot into a larger system and de-risk the integration, not just tout the sensor in isolation, which is what most spec-sheet marketing does.
Engineers evaluate sensing on hard, specific metrics, range, resolution, field of view, accuracy, signal-to-noise, latency, power, and crucially, how those hold up in the real environment: rain, fog, vibration, temperature, EMI, lighting. A spec that shines on a bench and degrades in the field is worse than useless, and buyers know it, so they discount lab numbers and demand test data in conditions like theirs. Marketing that leads with best-case bench specs and ignores real-world robustness loses the engineer who has been burned by exactly that gap.
Automotive and autonomy, defense, industrial automation and machine vision, medical imaging, scientific instrumentation, and geospatial or remote sensing each have different requirements, standards, buying processes, and proof expectations. A message and proof set tuned for one is wrong for another, and a generic sensing pitch lands nowhere. The work is vertical-specific positioning and application proof, showing the automotive buyer automotive-grade evidence and the scientific buyer measurement rigor, rather than one datasheet for all.
Like semiconductors, sensing components get designed in over long cycles, and once you are in, you hold the socket for the product's life, while switching means the customer re-integrates and re-validates, a cost they avoid without a decisive reason. Marketing is therefore sustained credibility and relationship-building across a long cycle, and the case for switching has to be strong enough to justify re-integration and re-qualification. Judging it on this quarter's leads misreads the game.
Credibility here is test data, application notes, reference integrations, and third-party validation, and much of the best proof, which platform you are designed into, what performance it achieved, is locked under NDA or, in defense, behind clearances and controls. So marketing has to build authority on the technical substance it can publish, rigorous, honest, condition-stated performance, while navigating what it cannot say, rather than leaning on the named-logo case studies other categories use freely.
A perception or instrumentation engineer looking for a sensor searches a specific requirement, a range, a wavelength, a resolution, an interface, a use case, and increasingly asks an AI assistant for candidates before pulling datasheets. If you are not discoverable and credible at that exact technical query, you are never on the list. Being invisible at the engineer's first search or AI query quietly removes you from integrations you never knew you lost.
We are not going to claim we are photonics physicists or perception engineers. We have not designed a LiDAR or characterized a sensor, and pretending otherwise is exactly what your engineer buyers are trained to detect and dismiss. What we are is specialists in marketing deeply technical products to engineer and integrator buyers on long, high-stakes design-in cycles, across 9+ years and 60+ B2B tech companies. The sensing buyer is a familiar pattern in a demanding form: intensely technical, performance-driven, skeptical of marketing, evaluating fit into a larger system, inside vertical markets with a long cycle. Our job is to learn your technology and your buyer's application world fast through structured interviews with your engineers and customers, then build the technical credibility, vertical positioning, account-based demand, and discoverability a design-in cycle requires, and to make sure you show up where engineers and AI engines look. We show our full portfolio here, honestly labelled, mostly software and technical-services companies, and we bring that transferable system, the technical-content discipline, the ABM rigor, the long-cycle attribution, to sensing and photonics rather than inventing sensor logos we have not earned.
A default stack, built for a technical, vertical, design-in market where performance proof and integration fit decide. We adapt it to your modalities, verticals, and cycle, but this is the shape that works when the buyer is an engineer integrating you into their system.
Before spend, we replace one-size specs with vertical-specific positioning, the performance advantage that matters for autonomy versus industrial versus medical versus science, stated with real-world conditions and why it fits their system, written so an engineer and an integrator believe it. We map the accounts and the technical buyers per vertical. Everything downstream inherits this.
We make the evidence an engineer needs easy to find and hard to dismiss: honest performance data with conditions, application notes and reference integrations, interface and integration guidance, and field or third-party validation, navigating NDA and clearance limits. In this category these assets are the marketing, and we build them from interviews with your engineers.
We own the specific spec, modality, and application queries engineers run, and build the technical authority a long cycle needs, with content deep enough that a skeptical engineer trusts it. This is the slow-compounding base that makes you findable and credible at the moment of technical research, where most sensing firms are invisible behind a datasheet portal.
Engineers increasingly ask ChatGPT, Claude, and Perplexity for sensors and components by requirement before pulling datasheets. AI Search optimization builds the credible mentions, clean entity data, and technical 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.
Because integrations happen inside a known set of accounts per vertical, ABM is the core motion. We run precise, technically credible, vertical-specific campaigns reaching the perception, imaging, or instrumentation engineers and integrators inside your target OEMs and system builders, plus the ecosystem and reference-integration work that builds preference before a design-in.
We connect every touch to your CRM and track the long path, engagement, design-in, integration, production, so a multi-year cycle still reports on one revenue line and marketing is judged on design-ins, not this quarter's leads. Reporting answers which accounts and activities are advancing toward an integration.
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.
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A custom AI-assistant paid funnel produced 76 leads and 34 booked appointments at $123 per call with an ICP.
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Meta appointment funnels delivered 35 leads at a $42 CPL and closed two deals on modest spend.
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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 sensors, LiDAR, cameras, photonic components, MEMS, and instrumentation into a market defined by long design-in cycles, vertical applications, and engineer or integrator buyers who trust performance data over messaging. That is a different discipline from SaaS marketing: it is technical-credibility-first, vertical-specific, account-based, and measured in design-ins over the host product's cycle. XQL specializes in that motion and ties it to revenue in your CRM.
No, and we will not pretend to be, because your engineer buyers detect and dismiss exactly that. We are experts at marketing deeply technical products to skeptical engineer and integrator buyers on long, vertical, design-in cycles. We learn your technology and your buyer's application world fast through structured interviews with your engineers and customers, then build the technical credibility, vertical positioning, ABM, and discoverability a design-in cycle needs. You own the physics; we make the right engineers, in the right accounts, and the AI engines they consult, understand why your sensor fits and wins.
Because the buyer and the motion are the constant. A skeptical, performance-driven engineer or integrator evaluating fit into a larger system, inside vertical markets with a long design-in cycle, is a pattern we have marketed to for years; sensing pushes it to the extreme with real-world-robustness scrutiny and NDA constraints, but the physics, credibility through technical substance, vertical positioning, ABM, long-cycle attribution, are the same. We show our full portfolio honestly labelled rather than inventing sensor logos.
By making real-world conditions the headline, not the fine print. Engineers discount best-case bench specs and demand data in conditions like theirs, rain, fog, vibration, temperature, EMI, lighting, because they have been burned by specs that degrade in the field. We lead with honest, condition-stated performance and field or third-party validation, and frame it by the vertical's real environment. In a market trained to distrust cherry-picked numbers, being the vendor that proves robustness where others hide it earns the trust that wins design-ins.
With vertical-specific positioning and proof, not one datasheet for all. Automotive, defense, industrial machine vision, medical imaging, and scientific instrumentation have different requirements, standards, and proof expectations, so we build distinct messaging and application evidence per vertical, automotive-grade validation for the AV buyer, measurement rigor for the scientific buyer, and target each with account-based campaigns reaching the right engineers. A generic sensing pitch lands nowhere; vertical fit is what earns the evaluation.
By building authority on the substance we can publish and navigating what we cannot. Much of the strongest proof, which platform you are designed into and what it achieved, is under NDA or, in defense, behind clearances and export controls, so we lean on publishable technical depth, honest condition-stated performance, application notes, reference integrations where permitted, and third-party validation, and handle constrained material carefully. In a market where engineers trust technical substance over logos, that publishable depth often does more than a named case study would.
ABM and paid can open conversations with target accounts within the first months; technical SEO and AI Search compound over quarters; and design-ins land over the host product's development cycle. We report against your CRM on the leading indicators that matter, target-account engagement, design-in progress, and eventually production revenue, not this quarter's lead count. That long-cycle discipline is how our portfolio reached $30M+ in CRM-tracked marketing-led revenue and 133% SQL growth per quarter in faster-moving segments.
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.
