You are selling into the noisiest category in software. Every competitor claims the same benchmarks, the hyperscalers give a version away, and your real buyer, a platform or ML engineer with veto power, has been burned enough to distrust every number on your homepage. XQL markets AI infrastructure and applied-AI products to that buyer for a living: precise positioning, proof they can inspect, presence in the AI engines they now shortlist with, and account-based demand, all measured as CRM-tracked pipeline rather than trial signups that never convert.
Every AI infra, MLOps, agent, and enterprise-AI vendor leads with the same words: faster, cheaper, more accurate, production-ready, enterprise-grade. A serious buyer has read the exact sentence on ten sites this week and discounts it on sight. Differentiation cannot live in the adjectives anymore. It has to live in specifics a competitor cannot copy, your architecture, your benchmarks with conditions, your reliability and cost characteristics at real scale, which most vendors bury or omit.
Prospects weigh you against a good-enough service from AWS, Azure, or Google, or against an open-source project their own team could self-host. That reframes the entire pitch: you are not just better than another startup, you have to justify why a specialized platform beats the default that is already in their cloud bill or their GitHub. Marketing has to make the total-cost, reliability, security, and time-to-production argument that the free option quietly loses on, before the buyer defaults to convenience.
Platform and ML engineers evaluate you like infrastructure, because you are: they want latency and throughput numbers, failure modes, eval methodology, model and data lineage, security and data-residency posture, and how you behave when a dependency changes underneath them. If your marketing cannot answer those before a call, you are filtered into the commodity bucket. The hard part is proving reliability and depth in public, not asserting it in a demo.
Models, tooling, and best practice shift monthly, and buyers know it. A page written two quarters ago now signals you have stopped paying attention, and what the buyer wanted last quarter, a chatbot, is not what they want now, an evaluated, governed, cost-controlled agent in production. Staying credible means publishing at the pace of the field, and repositioning as the buyer's own understanding moves, not running a static quarterly content calendar.
For enterprise AI buyers the gating questions arrive before capability: where does our data live, does it train your models, how do you handle access and audit, what does this actually cost at our volume, and can we prove compliance. A vague answer reads as risk and stalls the deal at security or finance review, regardless of how good the product is. Marketing that races to show capability while ignoring governance and unit economics loses the people with veto power.
Your buyers ask ChatGPT, Claude, and Perplexity for the best tools in your category before they visit a single vendor site, and there is a particular irony in an AI company being invisible to AI. The engines assemble that shortlist from third-party mentions, docs, and community signal, not your marketing site. If you are not cited there, you are cut before the evaluation you can measure even starts.
We have spent 9+ years marketing to technical and executive buyers across 60+ B2B tech companies, and the applied-AI and infrastructure category has its own physics. Here, marketing's first job is not to claim performance, everyone does, but to prove reliability, economics, and depth to a buyer evaluating you like the infrastructure you are, while also carrying an economic buyer who needs the business case. We do not claim to build models or run your inference stack. We claim to make your engineering legible: to turn architecture, benchmarks, and governance posture into positioning and content that a skeptical platform engineer trusts and an AI engine cites. We start from which themes attract teams with a real budget versus the AI-curious, which proof an evaluator needs before a first call, and which motion fits a category where the buyer's understanding moves as fast as the models, then wire every activity back to CRM revenue.
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 ICP, buyer, and sales cycle, but this is the shape that works when you are selling infrastructure-grade AI to people who evaluate it like infrastructure.
Before spend, we sharpen positioning around the specific problem you solve and why a specialized platform beats the buyer's default, the hyperscaler service already in their bill or the open-source project their team could self-host. We map the committee (platform/ML engineer, security, economic buyer) and write a claim each can scrutinize and still believe. Everything downstream inherits this.
We make the evidence an infrastructure buyer demands easy to find and hard to dismiss: benchmarks with conditions, latency, throughput and cost at scale, eval and reliability methodology, model and data lineage, and a clear security, residency, and governance posture. These assets remove the fastest reasons to disqualify you and convert better than any campaign in this category.
We own the bottom-of-funnel queries where buying intent is highest, evaluation, build-vs-buy-vs-self-host, inference cost, governance, and vertical applied-AI use cases, backed by content with the engineering depth practitioners respect. This is the compounding base most AI vendors under-invest in by shipping shallow trend posts evaluators discount on sight.
Buyers ask ChatGPT, Claude, and Perplexity for the best tools in your category 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, and for an AI company, being cited by AI is table stakes.
SEO and AI Search harvest existing demand; founder- and engineer-led content and ABM create it. We run technical talks, webinars, and leader-driven distribution engineering buyers actually engage with, plus account-based campaigns against your named target list, the motion that fills pipeline now while the organic engine matures.
We connect every touch to your CRM and track deals through the stages AI-platform sales stall in, technical evaluation, proof-of-concept, security and data review, and procurement, so a scrutiny-heavy cycle reports on one revenue line. That is how 2.4x organic traffic in 9 months becomes tracked revenue instead of a nicer chart.
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.
You prove reliability and economics instead of asserting performance. First, position against the buyer's real alternative, the hyperscaler service or open-source project they could default to, not just other startups. Then build the proof layer platform buyers gate on: benchmarks with conditions, latency, throughput and cost at scale, eval methodology, model and data lineage, and a clear security and governance posture. Capture implementation-intent demand with SEO, get cited in AI Search, and create net-new pipeline with expert content and ABM, all wired to your CRM and tracked through technical and security evaluation.
That page is for services firms that build AI for clients, where the core problem is proving you are real engineering and not a GPT wrapper. This page is for companies whose product is the AI infrastructure or applied-AI platform itself, where the core problem is standing out in a deafening category, beating a nearly free hyperscaler or open-source default, and satisfying an infrastructure-grade evaluation on reliability, cost, and security. The buyer is technical in both cases, but the sale and the proof differ, so the marketing does too.
We are experts at marketing it, not at building it, and we will not pretend otherwise, because your buyers are trained to catch exactly that. We learn your architecture, benchmarks, and governance posture fast through structured interviews with your engineers, then make them legible and credible to the platform engineers and economic buyers who decide, and to the AI engines that now assemble shortlists. You own the technology. We make the market understand why it wins on reliability, cost, and depth.
By moving differentiation out of the adjectives and into specifics a competitor cannot copy: your architecture, your benchmarks stated honestly with their conditions, your reliability and cost characteristics at real scale, and named production outcomes. Most vendors bury or omit these; publishing them where technical buyers and AI engines both see them is how you win the shortlist. In a category where every homepage reads the same, the vendor that proves the specifics wins the evaluation the others never reach.
Yes, and it is one of the most important jobs here. When the default alternative is a good-enough cloud service or a self-hosted open-source project, you have to make the total-cost, reliability, security, and time-to-production argument that the free-looking option quietly loses on. We capture the build-vs-buy-vs-self-host and cost-at-scale demand directly, in search and AI Search, so buyers doing that math meet your case for a specialized platform at the exact moment they are weighing it.
We treat governance and unit economics as first-class marketing assets, not fine print. For enterprise AI buyers the gating questions come first: where does our data live, does it train your models, how do you handle access and audit, what does this cost at our volume, and can we prove compliance. We make the answers easy to find and unambiguous, so those concerns are resolved early instead of stalling the deal at security or finance review, where AI-platform deals most often die.
A growing share of buyers ask ChatGPT, Claude, or Perplexity for the category and a shortlist before visiting any vendor, and being an AI company that is invisible to AI is a fast way to lose. If you are not cited there, you are eliminated before the evaluation you can see begins. AI Search optimization builds the credible third-party mentions, clean entity data, and semantic context the engines rely on to recommend you, grounded in provable depth rather than hype the model cannot substantiate. We run it as a repeatable program, roughly 80% recommendation success across our work.
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 AI-platform deals close later because of technical and security evaluation. 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.
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.
