Industries · Marketing Agency for Deep Tech Companies

Marketing Agency for Deep Tech Companies

XQL is the only marketing agency built exclusively for deep-tech and technical-product companies. Most agencies were built to market apps and subscriptions to a buyer who signs up on a whim. Deep tech is the opposite: a technical buyer who audits your claims, a long and committee-driven purchase, and a product most marketers cannot even describe correctly. We will not pretend to be your engineers, and we do not need to be. We are specialists at making complex, high-ticket technology legible to the people and the AI engines that decide the shortlist, and at turning that into CRM-tracked pipeline.

Why growth is hard here

Why marketing a deep-tech company is genuinely hard

  • Your buyer audits proof instead of believing claims

    The people who evaluate deep tech are engineers, scientists, and technical executives, and they read marketing the way they read a spec sheet: hunting for what is unsupported. A superlative with no benchmark, a diagram that hides the hard part, a claim without conditions all get flagged and discounted. Marketing that leads with adjectives repels the exact senior buyer it is meant to attract. The work is to make real technical depth legible and inspectable in public, not to assert it louder.

  • Long, committee-driven, high-ticket cycles punish shallow funnels

    A deep-tech purchase is rarely one signature. It runs through technical evaluation, proof-of-concept or pilot, security or compliance review, and procurement, across a committee that can include engineering, product, legal, and finance. A lead that looks great at the top of the funnel routinely stalls the moment a technical evaluator starts probing. Generic demand-gen that optimizes for form fills over qualified, evaluation-ready pipeline quietly wastes the budget and hides the leak in a nicer traffic chart.

  • You carry a category-education burden most agencies underestimate

    Often the buyer does not yet have language for what you do, or is comparing you to a category you do not belong in. Part of the job is teaching the market why the problem is hard and why the cheap-looking alternative is not equivalent, without drowning them in jargon or dumbing it down to the point that technical readers lose trust. Striking that balance takes a team fluent in talking to technical audiences. A generalist agency tends to either oversimplify until you sound like everyone else or parrot your engineers until no economic buyer can follow.

  • Generalist agencies do not understand the buyer, and it shows fast

    An agency that learned its craft on ecommerce or consumer SaaS brings the wrong instincts to a technical sale: it chases volume over qualification, writes copy that practitioners immediately clock as hollow, and cannot brief a subject-matter interview without getting the fundamentals wrong. Deep-tech teams can tell within one draft, and so can their buyers. The credibility you spend years earning in the lab is easy to spend on marketing that sounds like it was written by someone who has never met your customer.

  • Hype has trained your buyer to distrust outcome claims

    Years of "AI-powered," "10x," and "revolutionary" have left technical buyers allergic to inflated promises. Accuracy figures, performance multiples, and ROI claims now invite suspicion rather than excitement, and a sharp evaluator immediately wants the dataset, the conditions, and the failure modes. In deep tech, specifics convert and superlatives disqualify, so the marketing has to be more precise and more honest than the market average, not more excitable.

  • Buyers now build the shortlist with AI, before you know they exist

    A growing share of technical buyers open ChatGPT, Perplexity, or Google AI and ask for a shortlist before they run a traditional search or fill in any form. The engines assemble that list from what the wider web says about you, not from your homepage. If you are not present and credible there, you are eliminated before the evaluation you can see even begins, and no amount of on-site polish recovers a shortlist you never made.

What we know about this market

What we bring to deep-tech marketing, and what we do not claim

Let us be precise about the expertise, because deep-tech buyers respect precision. We are not going to claim we are photonics physicists, chip designers, or roboticists. We are not, and any agency that tells you otherwise is doing the exact thing your buyers distrust. What we are is specialists in one job: B2B marketing for technical buyers of high-ticket, high-consideration technology. Over 9+ years and 60+ B2B tech companies we have learned how a technical committee actually evaluates, what proof it gates on, how to run a subject-matter interview that respects an engineer's time, and how to make genuinely complex work legible without dumbing it down or drowning the economic buyer. We pair that with a modern demand engine, SEO, AI Search, paid, ABM, and fractional leadership, and we wire all of it to revenue in your CRM. On this page you will see our full case-study set, clearly labelled by company type. Most are software and technical-services companies, because that is where our track record is deepest. We show you the real portfolio rather than fabricating deep-tech logos we have not earned, and we bring the transferable system that made those outcomes to your category.

What that means in practice
  • The sectors we build this for: advanced sensing, photonics and machine perception; robotics and physical AI; semiconductors and advanced computing; industrial, IIoT and edge software; AI infrastructure and applied AI; cloud infrastructure providers; and the more regulated frontiers of defence, aerospace and dual-use, and advanced medtech, biotech and life-science tools. Each gets its own page and service stack. This page is the hub.
  • What actually transfers: the buyer is the constant. A skeptical technical evaluator on a long, high-ticket, committee-driven cycle behaves the same whether they are buying a data platform or a LiDAR unit. The proof they gate on, the way they research, and the way they now shortlist through AI are patterns we have run against for years. The domain changes; the marketing physics do not.
  • The proof deep-tech buyers need before a first call: architecture and approach detail that shows the hard part rather than hiding it, performance or accuracy claims stated with their conditions, named references and outcomes, a clear posture on the risks your buyer actually fears (data, IP, safety, compliance, supply, integration), and content that proves you have shipped. Without these, demand-gen spend leaks at the moment an evaluator decides whether you are real.
  • When SEO is the right lead motion: durable, defensible categories with real implementation-intent demand and a 6 to 9 month horizon to compound. Authority is the unlock. When Artkai needed to be taken seriously by technical and product buyers, SEO took its domain rating from 27 to 44 with roughly +15% traffic a month and 50+ inbound leads, the kind of compounding credibility that earns a technical buyer's first call.
  • When paid, appointment and ABM funnels make sense: when you need pipeline now, are launching a new offering, or are selling into a finite set of named accounts. High-value, committee-driven deep-tech deals are exactly where account-based motion is efficient, because you can put precise, evidence-led messaging in front of the specific engineering, product, and economic buyers who decide.
  • How we connect it to revenue: we instrument lead-to-SQL-to-closed-won and track deals through the technical-evaluation and pilot stages where deep-tech sales actually stall, so a scrutiny-heavy cycle still reports on one revenue line. Across the portfolio that discipline produced $30M+ in CRM-tracked, marketing-led revenue, 2.4x organic traffic in 9 months, and 133% SQL growth per quarter.
The recommended system

A default stack, sequenced so technical credibility is established before demand is created, and every layer reports into the same revenue model. We adapt it to your sector, buyer, and sales cycle, but this is the shape that works when the hard part is proving the technology is real to people who will check.

  1. 1 — Position on a provable capability, in language two audiences trust

    Before spend, we replace vague or hype-laden messaging with a precise statement of what you do, for whom, and what you can prove, written so a skeptical engineer and a time-poor economic buyer both believe it. We map the buying committee and the category the buyer is really comparing you to. Everything downstream inherits this. Without it, more traffic just means more evaluators filing you under generic.

  2. 2 — Build the technical-proof layer buyers gate on

    We make the evidence a technical buyer demands easy to find and hard to dismiss: architecture and approach detail, performance claims with their conditions, a clear posture on the risks your buyer fears, and named references. In deep tech these assets convert better than any campaign, because they remove the fastest reasons to disqualify you, and we produce them through subject-matter interviews that respect your engineers' time.

  3. 3 — Capture implementation-intent demand with revenue SEO

    We own the bottom-of-funnel queries where real buying intent lives, the specific problems, comparisons, and use cases your buyers search, backed by content with the depth practitioners respect. This is the compounding base of the system: durable, defensible, and where most deep-tech firms under-invest by shipping shallow posts technical evaluators discount on sight.

  4. 4 — Get cited in AI Search before the shortlist forms

    Buyers increasingly ask ChatGPT, Claude, and Perplexity for the category and a shortlist before any form loads. 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.

  5. 5 — Create demand with expert content and account-based campaigns

    SEO and AI Search harvest demand that exists; founder- and expert-led content and ABM create it. We run technical talks, webinars, and leader-driven distribution that engineering buyers engage with, plus account-based campaigns against your named target list, the motion that fills pipeline now while the organic authority engine matures.

  6. 6 — Instrument the full cycle through evaluation to revenue

    We connect every touch to your CRM and track deals through the stages deep-tech sales stall in, technical evaluation, pilot, security and compliance review, and procurement, so a long cycle still reports on one revenue line. Reporting answers what closed and what to double down on, which is how 2.4x organic traffic in 9 months becomes tracked revenue instead of a nicer chart.

Commercial outcomes

Proof from this market.

Strategy first, channels second, sales feedback always. We measure by the qualified demand and revenue we can trace back inside the CRM.

Selected results
  • $10Minbound pipeline per year

    Relevant Software

    Software development company · 3 years
    • $1M revenue/year
    • Cost per MQL & SQL halved

    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.
  • $5.5Mpipeline per year

    Confidential client

    Software development company · 3.5 years
    • 140 SQLs/year
    • $600K SEO revenue

    Ran the full marketing function for 3.5 years — 140 SQLs and ~$600K in revenue per year from SEO alone, plus 10 MQLs/month from LLM recommendations.

    ServicesFractional CMO · SEO · Appointment Funnels

    Their focus on results and true interest in making things work set them apart.

    — Content Manager
  • $1.8Minbound pipeline, built from zero

    WeSoftYou

    Software development company · 3 years
    • 100% YoY SQL growth
    • 207% traffic increase

    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.

    — Maksym Petruk, CEO & Founder, WeSoftYou
  • 28.88×return on ad spend

    Intelvision

    Staff augmentation company
    • $240K revenue from Meta
    • 5 deals in 12 months

    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.

    — Yurii Kotula, CEO, Intelvision
  • $2Min deals sourced from ChatGPT

    Computools

    Software development company
    • 2 enterprise deals from LLMs
    • 3-month engagement

    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.

    — COO, Computools
  • +1,413%organic traffic growth

    DBB Software

    Software development company · 3 years
    • 28 SQLs from zero
    • 3 deals won

    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.

    — Volodymyr H., COO, DBB Software
  • +500%more SQLs from organic

    Synebo

    Salesforce consulting company
    • 2.73× organic traffic
    • MQL→SQL 17% → 29%

    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.

    — Anna Senchenko, Marketing Lead, Synebo
  • more clients in 2024 vs 2023

    Cieden

    Product design agency · 9 months
    • 133% more SQLs/month
    • 2.4× organic traffic

    Restructured the marketing team and shifted to lead-driving SEO — doubling client count and growing SQLs 133% in nine months.

    ServicesSEO · Fractional CMO

  • 80%of service pages in Google's top 5

    Noltic

    Salesforce consulting company · 9 months
    • 20/25 pages top 5
    • First SEO deals closed

    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.

    — Anna Riabushenko, Head of Marketing, Noltic
  • 2,000monthly organic visitors, from zero

    Artkai

    Software development company · 9 months
    • DR 27 → 44
    • 50+ leads generated

    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.

    — Kos Chekanov, CEO & Founder, Artkai
  • 15×AI-assistant traffic growth

    Gapsy Studio

    Design agency · 3 months
    • +70% Google clicks
    • First SQLs from SEO

    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

  • 104appointments from paid

    Kitrum

    Software development company
    • 466 leads
    • $25.79 cost per lead

    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.

    — Lead of Marketing, Kitrum
  • $840customer acquisition cost

    Split Development

    Shopify development agency
    • 66 leads at $38 CPL
    • 3 deals in 4 months

    Built paid funnels from scratch — $2,522 in ad spend returned 3 signed clients and 66 leads at $38 CPL in under 4 months.

    ServicesMeta Ads · Fractional CMO

  • 4 clientswon in the first 3 months

    Hoverla Soft

    Software development company · 3 months
    • Marketing built from zero
    • ABM + social selling

    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.

    — CEO, Hoverla Soft
  • 1 dealclosed in a single month

    SolarSpark

    Game development studio · 1 month
    • Recommended by LLMs
    • 2 commercial keywords

    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.

    — CEO, SolarSpark
  • 100%AI-search placement success

    Baytech Consulting

    Software development company
    • 3 keywords, all LLMs
    • Deal from paid funnels

    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.

    — Partner, Baytech Consulting
  • #1AI recommendation in one month

    Opsworks

    DevOps company · 1 month
    • Recommended by major LLMs
    • 1 commercial keyword

    Positioned for an important commercial keyword and recommended by the major AI assistants within a single month.

    ServicesAI Search · AEO/GEO

  • 6 SQLsin year one, from scratch

    HBM

    B2B tech company · 1 year
    • 75 leads
    • 22 MQLs

    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

  • 3 opportunitiesin two months from ABM

    Riseapps

    Healthcare software company · 2 months
    • 13 ICP calls
    • 2-month sprint

    A targeted ABM campaign booked 13 conversations with ICP accounts and opened three opportunities in two months.

    ServicesABM

  • $34per booked intro call

    Gointeger

    Shopify development agency
    • Positioning + website
    • Booked-call funnel

    Repositioned the agency, revamped the site, and built appointment funnels that booked qualified intro calls at just $34 each.

    ServicesAppointment Funnels · Positioning · Website

  • $123per qualified ICP call

    Omisoft

    Software development company
    • 76 leads
    • 34 appointments

    A custom AI-assistant paid funnel produced 76 leads and 34 booked appointments at $123 per call with an ICP.

    ServicesAppointment Funnels · Meta Ads

  • 2 dealsfrom $42 leads

    Rizz Group

    AI video production company
    • $42.34 CPL
    • $1,482 spend

    Meta appointment funnels delivered 35 leads at a $42 CPL and closed two deals on modest spend.

    ServicesAppointment Funnels · Meta Ads

  • Your case could be next.

    Browse the full set of SEO and paid outcomes we’ve engineered.

    See all case studies
Related services
The proof, in numbers

Nine years of CRM-tracked outcomes for B2B tech.

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.

60+Companies worked with
Across software development, product design, data, DevOps, cybersecurity, CRM, MSP, and SaaS markets.
$30M+CRM-tracked revenue
Marketing-led revenue generated for clients, directly attributable to XQL-led efforts.
9+Years of experience
Marketing technical products and services to CTOs, CIOs, CEOs, founders, and executive buyers.
80%AI Search success rate
Placing selected brands into LLM recommendations for defined commercial prompts.
2.4xOrganic traffic growth
In 9 months for a B2B tech client.
133%SQL growth in a quarter
Sustained growth in sales-qualified leads.
Client signal

What founders and CEOs say.

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.
Maksym PetrukCEO & Founder, WeSoftYou
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.
Kos ChekanovCEO & Founder, Artkai
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.
Yurii KotulaCEO, Intelvision
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.
Anna SenchenkoMarketing Lead, Synebo
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.
Volodymyr H.COO, DBB Software
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.
Anna RiabushenkoHead of Marketing, Noltic
They were not just talking about AI search in theory; they knew how to approach it practically.
SolarSparkCEO
What impressed us most was their deep specialization in working with software development companies.
Baytech ConsultingPartner
They've brought structure, strong execution, and constant initiative to improve outcomes.
KitrumLead of Marketing
They operated with the discipline and initiative of an internal senior marketer.
ComputoolsCOO
Their ability to combine strategic vision with hands-on execution was particularly valuable.
Hoverla SoftCEO
Their focus on results and true interest in making things work set them apart.
InoxoftContent Manager
XQL Group's project management was exemplary.
EcrivioHead of Operations
The quality of their work is consistently high.
DataPlumbersFounder
FAQ

Marketing Agency for Deep Tech Companies: questions, answered.

More questions?

Bring your growth constraint to a call and leave with a plan.

Book a strategy call

It is a B2B marketing agency built for companies whose product is genuinely hard technology, sold to technical buyers on long, high-ticket, committee-driven cycles. That is a different discipline from marketing consumer apps or self-serve SaaS: the buyer audits proof instead of believing claims, the sale runs through technical evaluation and procurement, and the shortlist increasingly forms inside AI engines before you know the buyer exists. XQL specializes in that buyer, positioning, technical-proof content, SEO, AI Search, paid, and ABM, all wired to CRM revenue.

No, and we will not pretend to be. We are experts at B2B marketing for technical buyers of high-ticket, high-consideration technology, not at designing your product. That distinction matters, because claiming false domain expertise is exactly the thing your buyers are trained to catch. What we do is learn your technology fast through structured subject-matter interviews with your engineers, then make it legible and credible to the buyers and AI engines that decide the shortlist. You keep owning the science. We make the market understand why it wins.

Because the buyer is the constant, not the product. A skeptical technical evaluator on a long, high-ticket, committee-driven purchase behaves the same whether they are buying a data platform or a sensor: they gate on inspectable proof, they research deeply, and they now shortlist through AI. Those are the patterns our system is built around, and they transfer directly. We show you our full portfolio, honestly labelled, rather than inventing deep-tech logos, and we bring the transferable motion, the AI-search presence, the technical-proof content, the revenue instrumentation, that produced those outcomes.

Advanced sensing, photonics and machine perception; robotics and physical AI; semiconductors and advanced computing; industrial, IIoT and edge software; AI infrastructure and applied AI; cloud infrastructure providers; and the more regulated frontiers of defence, aerospace and dual-use, and advanced medtech, biotech and life-science tools. Each has its own page and service stack. If your company sells complex technology to a technical buyer and you do not see an exact match, the system still applies, the sale has the same shape.

The buyer is more technical and more skeptical, the deal is larger and slower, and the purchase runs through a committee and formal evaluation rather than a signup. That changes everything downstream: the content has to prove depth rather than assert benefits, the funnel has to optimize for evaluation-ready pipeline rather than form fills, and the measurement has to track deals through pilot and procurement, not just to a demo request. It also raises the category-education burden, since buyers may not yet have language for what you do.

Yes, that is a common deep-tech situation and it shapes the plan. When the category is new, part of the work is demand creation and education, teaching the market why the problem is hard and why cheaper-looking alternatives are not equivalent, through founder- and expert-led content, talks, and AI-Search presence, rather than only harvesting search demand that does not exist yet. As real implementation intent emerges, we layer SEO and bottom-of-funnel capture on top, so you are building the category and banking the pipeline it creates at the same time.

We treat precision as a conversion advantage, because in deep tech it is one. We state performance and outcome claims with their conditions, show the hard part rather than hiding it, and back positioning with named references and inspectable detail. That earns trust with the technical evaluators who hold veto power and, increasingly, with the AI engines that reward well-substantiated content. We never fabricate a client, a number, or a result, yours or ours, because a single caught exaggeration in this market costs more than it ever earns.

Paid and ABM can book qualified meetings within the first month or two; SEO and AI Search typically show meaningful traction in 4 to 6 months and compound over 6 to 12, and deep-tech deals close later because of technical evaluation and pilots. Either way we report against your CRM, pipeline created, SQLs, and closed-won attributed to channel and tracked through evaluation, not traffic for its own sake. 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.

Ready when you are

Let's talk.

Bring your offer, channels, and revenue goals. We'll show you where the biggest growth constraint is and what to build next.

Danylo FedirkoFounder

For B2B tech companies selling complex expertise to serious buyers.

B2B tech clients
60+
Revenue generated
$30M+
Danylo Fedirko, Founder of XQL Group
Danylo FedirkoFounder, XQL Group
Let’s talk

Book a call with me.

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.

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