You are competing against the most powerful brands in software, the hyperscalers, for a buyer who evaluates on benchmarks, pricing transparency, and developer experience, not marketing. XQL is built for that fight. We are specialists at marketing infrastructure to platform and DevOps engineers and CTOs, turning your specific edge, price, performance, sovereignty, GPU availability, support, or specialization, into positioning, developer-led demand, and discoverability, and tying it to signups, usage, and enterprise pipeline in your CRM.
AWS, Azure, and Google Cloud own the category's mindshare, ecosystems, sales armies, and marketing budgets, and they are the default in every buyer's head. A challenger cloud cannot out-brand or out-spend them, so it has to win on a specific, defensible edge, price, performance, GPU availability, sovereignty, support, or vertical specialization, and make that edge unmistakable. Marketing that competes on breadth loses; marketing that sharpens and proves a specific advantage is the only thing that works against incumbents this large.
Platform engineers, DevOps leads, and CTOs choose infrastructure on hard evidence: benchmarks, latency and throughput, uptime and SLAs, pricing math, and above all developer experience, docs, APIs, and how fast they can get something running. They discount marketing language instantly and evaluate by trying. Credibility is earned with transparent performance data, excellent documentation, and a frictionless trial, not with a campaign, and marketing that talks over or around the engineer loses the person who actually decides.
Migrating workloads off an incumbent cloud is expensive, risky, and slow, and buyers fear repeating the lock-in with you. That inertia is often your real competitor, not another provider. Marketing has to make the switch feel safe and worthwhile: quantify the cost and performance gain, provide migration guides and tooling, prove reliability, and address lock-in honestly. Without that, even a clearly better and cheaper platform loses to the risk and effort of moving.
Cloud adoption often starts bottom-up, a developer finds you, tries a free tier, and builds something, and then has to expand into an enterprise deal with procurement, security, and compliance. Those are two different motions with different content, buyers, and metrics, self-serve developer experience on one side, enterprise ABM, SOC 2, and sales on the other, and they have to feed each other. Most cloud providers do one well and neglect the other, leaking either signups or expansion.
Cloud pricing is notoriously opaque, and buyers are burned by surprise bills and egress fees, so transparent, predictable pricing is a genuine differentiator, if you can communicate it clearly. But cloud pricing is also genuinely complex, and explaining your cost advantage without oversimplifying or confusing is hard. Marketing has to turn pricing into a clear, honest, comparable story, because for many buyers the cost math, done credibly, is the single most persuasive thing you have.
Developers and architects increasingly ask ChatGPT, Claude, or Perplexity for "best GPU cloud for training," "cheapest cloud for egress-heavy workloads," or "AWS alternative for a European startup" before they evaluate. The engines answer from the technical web and default to the hyperscalers and the best-documented options. If you are not discoverable and credible there, at the exact workload query, you are never in the trial, and the incumbents the models know keep the default.
We are not going to claim we are cloud architects or SREs. We do not run your control plane, and pretending to that expertise is what your engineer buyers dismiss on sight. What we are is specialists in marketing infrastructure and technical products to platform engineers, DevOps leads, and CTOs, which is squarely our core buyer across 9+ years and 60+ B2B tech companies. The cloud-provider buyer is exactly the skeptical, benchmark-driven, developer-experience-obsessed technical buyer we market to constantly, with the added challenge of fighting hyperscaler defaults and running a dual developer-and-enterprise motion. Our job is to learn your platform and your edge fast through structured interviews with your engineers and customers, then make your specific advantage, price, performance, sovereignty, GPU, support, or specialization, unmistakable to the developers who try you and the enterprises who scale you, and to the AI engines that now shape the shortlist. We show our full portfolio here, honestly labelled, and because this is an infrastructure-and-software buyer, our system transfers directly rather than by analogy.
A default stack built for a benchmark-driven, developer-and-enterprise, hyperscaler-shadowed market. We adapt it to your edge, buyer, and motion, but this is the shape that works when engineers adopt bottom-up and enterprises scale top-down.
Before spend, we sharpen positioning around the one edge you can win on, price, performance, GPU availability, sovereignty, support, or specialization, and make it unmistakable, rather than competing on breadth you cannot match. We map the developer and the enterprise buyer both. Everything downstream inherits this, because against incumbents this large, a sharp edge is the whole game.
We make the evidence an engineer gates on easy to find and impossible to dismiss: transparent benchmarks, clear and comparable pricing, excellent documentation, a frictionless trial or free tier, migration guides, and reliability and compliance proof. In this category these assets are the marketing, and we produce them through interviews with your engineers and honest cost math.
We own the specific queries engineers run, workload, comparison, alternative, and cost queries ("GPU cloud for training," "AWS alternative for X," "cheapest egress"), plus the documentation and technical content developers discover you through. This is the compounding, developer-led base that turns search into signups and usage.
Developers and architects ask assistants for cloud options and comparisons before they trial. AI Search optimization builds the credible mentions, clean entity data, and technical context the engines rely on to name you against the hyperscaler defaults. Across our work this drives roughly 80% AI Search recommendation success and first inbound signups from LLMs inside 30 days.
We run the bottom-up motion, developer content, community, free-tier and trial optimization, and the top-down one, account-based campaigns and enterprise proof (security, compliance, SLAs) for the expansion into contracts, so the two feed each other instead of leaking signups or stalling expansion.
We connect signup, activation, usage, and enterprise expansion across your product analytics and CRM, so marketing is judged on usage and revenue, not raw signups. Reporting answers which content and channels produce activated, expanding customers, which is how 2.4x organic traffic in 9 months becomes tracked revenue.
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 cloud infrastructure and platforms, IaaS, PaaS, GPU and specialized clouds, managed cloud, hosting, edge, and storage, against hyperscaler defaults, to benchmark-driven engineer buyers. That means developer-led growth, transparent technical and pricing proof, AI-search visibility, and enterprise ABM for expansion, all tied to signups, usage, and revenue. XQL specializes in exactly this infrastructure-and-software buyer and runs the full motion.
We are experts at marketing infrastructure to the engineers who buy it, not at running a control plane, and we will not pretend otherwise, because your buyers screen for exactly that. We learn your platform and your edge fast through structured interviews with your engineers and customers, then make your specific advantage legible to the developers who try you and the enterprises who scale you, and to the AI engines that shape the shortlist. You own the platform; we make the market understand why it beats the default for a specific job.
Not on breadth, you cannot out-brand or out-spend them, but on a specific, defensible edge made unmistakable. Whether it is price, performance, GPU availability, sovereignty, support, or vertical specialization, we sharpen the positioning around where you genuinely beat the hyperscaler default for a particular workload or buyer, prove it with transparent benchmarks and pricing, and target the queries and buyers where that edge matters most. Against incumbents that large, a sharp, proven edge is how a challenger wins the trial the defaults never earn.
Yes, and running both motions so they feed each other is core to cloud growth. Bottom-up, we optimize developer experience, docs, technical content, community, and free-tier and trial conversion so engineers discover, try, and build. Top-down, we run enterprise ABM and build the security, compliance, and SLA proof that turns developer adoption into contracts through procurement. Most cloud providers do one well and leak the other; we connect them so signups become usage and usage becomes enterprise revenue.
By making the switch feel safe and worthwhile, because that inertia is often your real competitor. We quantify the cost and performance gain honestly, surface migration guides and tooling, prove reliability with SLAs and benchmarks, and address lock-in directly rather than dodging it. The content meets buyers at the exact moment they are weighing the effort and risk of moving, and reframes the math so a clearly better, cheaper platform overcomes the inertia that would otherwise keep them on the incumbent.
A growing share of engineers ask ChatGPT, Claude, or Perplexity for cloud options and comparisons, best GPU cloud, cheapest for a workload, alternative to a hyperscaler, before they trial, and the models default to the hyperscalers and the best-documented options. If you are not cited there, you are cut before the evaluation. AI Search optimization builds the credible mentions, clean entity data, and technical context the engines use to name you against the defaults, and we run it as a repeatable program, roughly 80% recommendation success across clients.
Developer-led SEO and AI Search compound over quarters into signups and usage; developer-content and free-tier optimization can lift activation sooner; and enterprise ABM opens expansion conversations within the first months, closing over a longer cycle. We report against your product analytics and CRM on the funnel that matters, signup, activation, usage, and enterprise revenue, not raw signups. 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.
