
DBB Software
Built the marketing function from zero — website, SEO, paid, AI search — from 166 to 2,513 monthly clicks and 3 enterprise deals won.
- 28 SQLs from zero
- 3 deals won
Your buyer doesn't search "cloud migration" and find you — that page belongs to AWS, Microsoft, and three global SIs. They search a specific-stack migration, a FinOps and cost-optimization question, a platform-vs-platform comparison, or a well-architected review, often with a bill their CFO can't explain already in the room. We build organic search around those workload-, platform-, and cost-intent queries the hyperscalers ignore, write pages that out-rank competitors and still survive a cloud architect reading them, and tie every ranking back to qualified meetings and closed deals in your CRM — tracked through the security review and the cost conversation, not stopped at a traffic chart. Over nine years we've done this for 60+ B2B tech companies, including cloud and infrastructure firms, and tracked $30M+ in marketing-led revenue.
We map the searches that precede a cloud engagement — specific-stack migration and modernization queries, FinOps and cost-at-scale questions, platform-vs-platform comparisons, and well-architected and managed-services searches — and audit your organic footprint against them. We separate the head terms the hyperscalers' own docs and the global SIs own from the operational and cost queries you can win, check where your project and managed-services pages cannibalize each other, and pull in sales and delivery intelligence so the picture reflects how cloud architects and CFOs actually decide, not what a keyword tool reports.
We benchmark your situation against the cloud, infrastructure, and technical-buyer companies among the 60+ B2B tech firms we've run SEO for. Which clusters convert for a migration-and-managed-cloud business, why workload and cost pages earn rankings and meetings faster than badge-led thought-leadership, how to answer the FinOps fear on the page, what ranking velocity is realistic when you're up against AWS's documentation and a global SI for a query — we know the patterns, so the strategy starts from evidence instead of guesswork.
We prioritize ruthlessly by commercial value: which workload, FinOps/cost, and comparison clusters to build first, which service and case-study pages to rebuild around outcomes and cost instead of badges, which unwinnable head terms to abandon, and where paid search, appointment funnels, or AI Search optimization should book meetings now while content compounds — and reduce your dependence on co-sell. You get a sequenced plan tied to qualified meetings and revenue, not a backlog of everything.
We execute — technical fixes, workload and migration page builds, FinOps and cost content, platform-comparison pages, case-study and service-page rebuilds, reference-architecture content, editorial briefs, and link-building — and we run the operation: briefing writers (or your cloud architects) so the work survives a senior engineer's review, coordinating dev on your stack, and managing vendors so delivery is consistent and rankings compound quarter over quarter without becoming your team's second job or competing with billable client delivery.
Every month we read the results in your CRM — which queries and pages produced qualified meetings, what they're worth, how organic-sourced accounts move through the security review and the CFO's cost conversation — and we listen to sales. Winning workloads, cost angles, and platform comparisons get scaled, underperformers get cut, and the cost or lock-in objection that stalled the last deal becomes next month's page. SEO becomes a managed revenue channel measured in deals that survive scrutiny, not a project measured in traffic.
We've run SEO across 60+ B2B tech companies selling to technical and executive buyers, including cloud and infrastructure consultancies. We already know which queries convert for a cloud firm and which only look like demand: that a specific-stack migration query ("migrate SQL Server to RDS," "on-prem to EKS") and a FinOps cost query ("reduce AWS data transfer cost") pull a leader with a live initiative, while "cloud migration" pulls students, jobseekers, and competitors — and is owned by AWS's own docs anyway; that platform-vs-platform "vs" and "alternatives" terms sit closest to a budget; that the page has to satisfy a crawler and a skeptical cloud architect in the same read, and answer the CFO's cost fear, not just the engineer's capability question. You don't spend a quarter teaching us what a well-architected review, a landing zone, FinOps, egress cost, or lock-in is. We start from pattern recognition, not a discovery deck.
We don't open with a 90-day audit. In the first weeks we map your organic footprint against the workload, FinOps/cost, platform-comparison, and well-architected queries that actually precede a cloud engagement, separate the head terms the hyperscalers and global SIs own from the operational and cost queries you can realistically win, and flag the service and case-study pages whose badge-led, FinOps-silent framing is leaking buyers — plus where a project page and a managed-services page are cannibalizing each other. You get a prioritized plan tied to qualified-meeting potential, not search volume — which clusters to build, which pages to rebuild around cost and outcomes, which unwinnable head terms to abandon — fast enough to compound inside the first quarter.
SEO is the cheapest durable demand a cloud consultancy can own — and uniquely, demand that doesn't depend on a partner manager's quota or an AWS co-sell motion that can dry up overnight — but it's a build, not a switch, and we'll tell you when it isn't the fastest path to pipeline this quarter. Workload and cost-intent demand compounds beautifully through organic over two to four quarters; net-new meetings for a new managed-services offer are often faster through paid search and appointment funnels while content matures; and a growing share of buyers now ask ChatGPT or Perplexity for "best AWS migration partners for X" or "cloud cost-optimization consultancies" before they ever run a search or open the partner directory. Because we operate the full B2B tech growth stack, we sequence organic search against the rest of your GTM instead of optimizing a silo, so SEO investment lands where it actually books pipeline.
Your sales and delivery calls are the best keyword research a cloud firm has — and the deal is often won or lost in rooms your AEs aren't in: the security review, the CFO's cost conversation, the partner-registration step. We sit close to those calls and deal notes: the cost and lock-in objection that stalled the last deal, the specific workload a prospect needed proof on before they'd commit, the platform they were also evaluating you against, the run-rate question the platform lead had to take to finance. Those become content briefs and target pages — comparison pages that handle the platform trade-off honestly, FinOps and cost-optimization pages that arm the champion for the budget review before it happens, and reference-architecture pages that answer the "what happens after go-live" question that decides infrastructure trust.
We instrument organic search end to end and report in revenue terms, not rankings — tracked through the stages cloud deals actually stall in. Which query clusters and pages produce qualified meetings, what they're worth in pipeline, how organic-sourced accounts move through the security review, the CFO's cost conversation, and partner registration to closed-won — tied back to your CRM through a long, committee-influenced cycle where attribution is usually the first casualty. When we say SEO produced a deal, you can see it and the stage it cleared. That discipline is why we've tracked $30M+ in marketing-led revenue across our B2B tech clients, and why the SEO budgets we manage get defended through long cycles instead of cut when the board asks why traffic isn't converting.
Strategy first, channels second, sales feedback always. We measure by the qualified demand and revenue we can trace back 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.
Not by attacking "cloud migration," "AWS consulting," or "cloud cost optimization" head-on — and you shouldn't try. Those SERPs are dominated by the hyperscalers' own documentation, which the algorithm treats as the canonical source, plus global SIs with seven-figure content budgets and a decade of authority. Even when you surface there, you arrive as one more certified partner in a list, which attracts comparison shoppers more than buyers with a live initiative. The winnable, higher-intent demand sits in the queries those giants don't bother optimizing for: specific-stack migrations ("migrate SQL Server to RDS," "on-prem Kubernetes to EKS"), FinOps and cost questions ("reduce AWS data transfer cost," "EC2 to Savings Plans"), platform comparisons ("AWS vs Azure for [use case]"), and well-architected and modernization searches. We concede the unwinnable head terms on purpose and own the searches that actually precede a deal — that's how a focused firm like Synebo hit #1 on Google with no link-building and 500% more SQLs.
The ones that map to a live workload or a cost problem, not the category label. In practice that's four clusters. Workload- and platform-specific migration and modernization queries — "migrate SQL Server to RDS," "lift-and-shift vs replatform for [workload]," "on-prem to EKS" — because the buyer scopes by workload, not by "migration" in the abstract. FinOps and cost-at-scale queries — "reduce AWS data transfer cost," "EC2 to Savings Plans," "why is our cloud bill growing" — which carry real budget because cost is the fear that decides the deal. Platform-comparison and alternatives queries — "AWS vs Azure for [use case]," "RDS vs Aurora cost," "[global SI] alternatives." And well-architected, security-posture, and managed-services queries that signal a longer-term engagement. These have a fraction of the volume and a multiple of the intent of the head terms — and the hyperscalers and global SIs largely ignore them, which is exactly why you can win them.
Yes — by making sure the pages that rank don't lean on the badge at all, because in this category it's table stakes, not a differentiator. Premier, Solutions Partner, and competency badges get you into the room; they don't win a ranking page when every competitor on the SERP has the identical tier and leads with "certified AWS experts." We build and rebuild your pages around something the shortlist can't all claim and a search engine can index as substance: a specific workload you've shipped repeatedly, a measurable cost outcome, a vertical, a reference architecture. The same depth that makes a page rank for a workload or cost query is what makes a cloud architect trust it — so the page differentiates you on a defined problem instead of on a credential everyone shares, and your partner validation becomes supporting evidence of outcomes rather than the headline.
Head-on — it's the single biggest lever most cloud-consulting SEO ignores. The CFO remembers the last "simple" migration that became an invoice nobody could explain, and the platform lead is judged on the run-rate, so a growing share of the queries with real budget behind them are cost-led: "reduce AWS data transfer cost," "why is our cloud bill growing," "[tool] cost optimization," lock-in and egress questions. Ducking them cedes that demand to the hyperscalers and review sites that frame your cost for you. We build honest, worked FinOps and cost-governance content that ranks for those searches, makes the bill predictable, and arms your champion to defend the engagement in a budget review — then track deals through that cost-conversation stage in your CRM so you can see where they stall and fix it. A page that sells migration velocity while ignoring the run-rate answers a question your buyer isn't asking.
We treat the ranking page as your first technical proof asset, because that's how a cloud architect treats it — they read it the way they'd review an architecture diagram, looking for where it breaks. That means real "how it works" depth, named reference architectures, honest cost numbers instead of a marketing figure, a candid view of lock-in and trade-offs, and a clear answer to what happens after go-live. Our briefs are precise enough to survive that review, and we either enable your cloud engineers and contract writers with them or produce ready-to-publish pages end to end. The bar is unforgiving on purpose: in this category, the same depth that earns the ranking is what earns the first call, and a thin, badge-led page costs you both at once because one fluffy paragraph makes an architect discount everything else you publish.
It fractures your keyword landscape, and trying to rank for both from one undifferentiated page converts neither. A one-time migration buyer and a recurring managed-cloud buyer search differently, have different fears, and need different proof: the migration buyer is scoping a project and worried you'll disappear after cutover; the managed-services buyer is choosing a long-term operator and worried you're a body shop. We build distinct, well-targeted page architectures for each motion — migration and modernization pages for project intent, managed-cloud, optimization, and well-architected pages for recurring intent — so each ranks for its own queries and converts the right buyer, instead of one muddled page competing with itself. Then we report each motion's organic pipeline separately in your CRM so you can see which one is actually generating revenue.
We instrument it. A cloud deal pulls in a cloud architect who vets capability, a platform lead who owns the infrastructure-trust decision, an exec sponsor who weighs risk, and a CFO watching the run-rate — and it can stall in a security review, a cost conversation, or partner registration for a quarter, so the first organic touch often happens months and several anonymous research sessions before anything closes. That's exactly when attribution gets lost and marketing wrongly looks like a cost center against co-sell pipeline. We track the full path inside your CRM — first touch, content engagement, meeting booked, SQL, security and cost stages cleared, won deal — and report SEO as revenue influenced, not sessions. That attribution is what keeps the SEO budget funded through a long cycle instead of cut in the middle of one, and it's how we've sustained 133% SQL growth per quarter.
Both, your choice. We build deeply researched briefs and outlines that detail structure, angle, sources, and the workload and cost substance — precise enough that the result earns credibility with a cloud architect and a CFO rather than reading like another certified-partner brochure — and we either enable your in-house or contract writers with those briefs or produce ready-to-publish pages end to end. Either way we manage the writers and the editorial calendar so output stays consistent, accurate, and on-strategy. For a cloud firm the bar is unforgiving: thin or badge-led content is actively negative because it tells a senior engineer you'll leave them with lock-in and an unexplained bill, and one hollow page makes them discount everything else you publish.
They reinforce each other, and for cloud consulting the overlap is tight. A growing share of buyers now ask ChatGPT, Perplexity, or Google's AI overview for "best AWS migration partners for X" or "cloud cost-optimization consultancies" before they ever run a search or open the AWS and Azure partner directories — and the answer often skips both. Much of the workload, cost, and comparison content that ranks you in organic search is the same signal a model reads when it decides who to recommend, so the technical and FinOps depth we build does double duty. We don't treat AI Search as a replacement for SEO; we treat it as the layer that captures buyers who now start in an assistant, built on the same foundation. Across our work this runs at roughly an 80% AI Search recommendation success rate, which is why this page links to our AI Search optimization service and many cloud clients run both as one system.
Because in this category, technical and financial fluency and accountability are what make SEO pay back. A generalist spends your first quarter learning that the head terms belong to AWS's own docs, that the partner badge differentiates nothing, and that the cloud bill — not the migration — is the fear that decides deals; in the meantime it ships badge-led content a cloud architect disqualifies in a paragraph. A cheap offshore content shop produces volume that's off-intent at best and a penalty risk and a credibility risk at worst. We start from 60+ B2B tech engagements of pattern recognition that includes cloud and infrastructure firms, sit close to your sales, delivery, and security rooms, run technical, content, links, and attribution as one system, and report against your CRM through the security review and the cost conversation. You're not buying rankings; you're buying a managed revenue channel run by people who already know how cloud architects and CFOs decide.
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.