
Synebo
Turned Salesforce-niche SEO into a deal channel — 2.73× traffic and MQL-to-SQL conversion up from 17% to 29%.
- 2.73× organic traffic
- MQL→SQL 17% → 29%
Most content programs publish on a schedule, chase keyword volume, and produce articles no buying committee ever reads. We build content as a commercial system: topic clusters and service-page architecture organized around how your buyers actually evaluate, decision-stage assets that arm a champion to win internal approval, and attribution that ties each piece back to opportunities in your CRM. Built to survive technical scrutiny and measured in revenue — across nine years and 60+ B2B tech companies we've tracked $30M+ in marketing-led revenue.
We audit your existing content and map it against the questions, comparisons, and decision criteria that actually precede a deal in your category. We pull in sales-call intelligence and identify where content is missing, thin, or cannibalizing itself — so the picture reflects how buyers really evaluate, not what a keyword tool reports. The output is an honest read of which content is an asset and which is dead weight.
We hold your situation against the content systems we've built for 60+ B2B tech companies. Which clusters convert in software services versus a product-led SaaS, which decision-stage formats close, what depth bar a technical evaluator respects in your space — we know the patterns, so the architecture starts from evidence that has already produced tracked revenue instead of from a blank calendar.
We prioritize ruthlessly by commercial value: which clusters and pillar pages to build first, which decision-stage assets close the fastest, which thin pages to consolidate or retire, and where content is the right lever versus where paid, AI Search, or sales enablement should carry the load. You get a sequenced content architecture tied to pipeline — not a backlog of every article you could theoretically write.
We stand up the production engine: cluster and pillar builds, money-page and comparison-page architecture, technical deep-dives, the briefing and SME-extraction process, editorial governance, the repurposing pipeline, and CRM instrumentation. The goal is a repeatable machine that ships credible content every week without depending on a founder or an engineer finding free hours to write.
Every month we read content performance in your CRM — which assets and clusters sourced opportunities, which pages appear in deals that close — and we listen to sales. Winning assets get expanded and refreshed, underperformers get cut or consolidated, and new objections from the field become next month's briefs. Content becomes a managed, compounding revenue asset, not a publishing habit nobody can defend in the revenue meeting.
We've built content systems for 60+ B2B tech companies — custom software firms, dev shops, infrastructure and developer-tool vendors, and B2B SaaS — across nine-plus years marketing to technical and executive buyers. We already hold the cluster maps that convert in these categories, the page architectures that close, and the depth bar a technical reader respects. We know what a microservice migration, a SOC 2 readiness project, or an API-first integration actually involves, so your first content doesn't read like an outsider describing your buyer's job. You start from a pattern library, not a blank editorial calendar and a quarter of the agency learning your space on your dime.
We don't open by spinning up a content calendar. In the first weeks we audit what you've already published, map it against the questions and comparisons that actually precede a deal in your category, and find where the content gaps are costing you — the decision-stage pages that don't exist, the clusters with no pillar, the high-intent topics ceded to competitors. You get a prioritized content architecture tied to commercial value: which clusters to build, which thin pages to consolidate or kill, which assets to ship first — fast enough to compound this quarter, not after a year of publishing into the void.
Content is a system input, not the goal, and we'll tell you when more articles aren't the fastest path to pipeline. Some demand is best met with decision-stage and comparison pages that capture buyers mid-evaluation; some needs technical depth content to earn engineering trust; some belongs in sales enablement, an owned newsletter, or AI Search answers rather than a public blog. Because we run the full B2B tech growth stack, we point content production where it actually moves deals — and we don't manufacture top-of-funnel volume just to keep a publishing schedule looking busy.
Your sales calls are the best content brief you own. We sit close to deal notes and recorded calls and mine them for the exact objections, comparisons, and questions that stall or win deals — then those become the briefs. The result is content that does a job in the pipeline: comparison pages that pre-handle the objection your reps hear every week, decision-stage assets a champion can forward to procurement, and use-case pages that mirror how deals actually get scoped. Content stops being top-of-funnel decoration and starts shortening cycles.
We instrument content against your CRM, not a content dashboard of pageviews and time-on-page. We track which assets and clusters source qualified opportunities, which pages show up in the deals that close, and what content-influenced pipeline is actually worth — tied back to opportunities, not sessions. When we say a content asset produced revenue, you can see the deal behind it. That discipline is how we've tracked $30M+ in marketing-led revenue across our book, and it's how we tell you honestly which content to scale and which to retire.
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.
The buyer, the asset set, and the success metric are all different. B2B tech is a long, committee-driven purchase where technical evaluators will dismiss thin content instantly and an economic buyer needs decision-stage answers to approve a spend. So the work isn't publishing high-volume explainers on a cadence — it's architecting a small set of high-value clusters, building the comparison, solution, and decision-stage pages that actually close, and holding every piece to a depth bar that survives engineering scrutiny. And we measure success in CRM-tracked pipeline and revenue, not traffic or word count. We've built this system for 60+ B2B tech companies.
They overlap, but they're not the same job, and we scope them deliberately. SEO is about owning organic visibility — the technical foundation, money-page rankings, and conversion on the searches buyers run. Content marketing is about the asset itself: the cluster architecture, the technical depth, the decision-stage and enablement pieces, the editorial governance, and the production system that makes credible content ship every week. Many clients run both together — content gives SEO something worth ranking, and SEO gets that content found — but content marketing also feeds sales enablement, AI Search answers, and your owned channels, which is why it stands on its own.
Usually one of three things is broken: the content has no architecture, so isolated posts never build topical authority or a path to a decision; it was briefed for keyword volume rather than for the questions and comparisons that precede a deal; or it was never connected to sales or the CRM, so nobody can tell what's working. We start with an audit and consolidation — pruning or merging the thin and cannibalizing pages, which is often the fastest win — then rebuild around clusters and decision-stage assets, hold production to a depth bar, and instrument it against pipeline. Publishing more of the same isn't the fix; building a system buyers actually read, and measuring it, is.
Both, your choice. We build deeply researched briefs that specify angle, structure, sources, and the technical substance so the result earns authority with expert readers — and we either enable your in-house or contract writers with those briefs, or produce ready-to-publish content end to end. Either way we run the editorial governance: SME extraction, editing to a consistent depth bar, fact-checking, and the calendar — so output stays on-strategy and credible as it scales, rather than drifting in quality the moment volume goes up.
We extract substance from your experts efficiently instead of asking them to write. A typical pattern is a short recorded interview with an engineer or solutions lead that we mine for the real technical detail, opinions, and edge cases, then draft around — so the depth is genuine but your team spends 30 to 60 minutes, not a weekend writing. We pair that with category fluency we already have from 60+ B2B tech clients and a fact-checking step. The bar is simple: a technical reader should finish a piece thinking 'this person actually knows the problem,' not 'this is marketing.' AI-assisted volume without that bar is negative with this audience, and we don't ship it.
Decision-stage and comparison assets can influence deals already in motion within the first quarter — a champion uses them to get internal approval, and sales feels it on calls. Building durable topical authority across clusters typically compounds over two to four quarters. We sequence the fastest-converting, highest-intent assets first so you see commercial signal early rather than waiting on a traffic curve. Across engagements we've driven 2.4x organic traffic in nine months and 133% SQL growth per quarter; the exact curve depends on your starting authority and competitive set.
We instrument content into your CRM and report in revenue terms: which assets and clusters sourced qualified opportunities, which pages appear in the deals that close, and what content-influenced pipeline is worth. You see the deals behind the claim, not a dashboard of sessions and time-on-page. That attribution discipline is how we've tracked $30M+ in marketing-led revenue across our clients — and it's how we tell you, honestly, which content to scale and refresh and which to consolidate or kill, so the program keeps earning its budget.
Increasingly it's essential. A growing share of buyers now ask an AI assistant for vendor recommendations and answers rather than scrolling a results page, and those systems synthesize answers from credible, well-structured content. Deep, authoritative cluster content is exactly what gets a company cited and recommended there — across our work we run 80% AI Search recommendation success. We build content so it earns trust with both human evaluators and the models, and we sequence it with our AI Search optimization work when that's the right channel for your buyers.
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.