Enterprise buyers don't start with a Google search for "what is ERP" — they start anonymously, researching "alternatives to [incumbent]," "[category] compliance with SOC 2 and GDPR," "[platform] vs [your company]," and "enterprise [category] total cost of ownership" months before they'll speak to a vendor. The committee member who runs those searches shapes the shortlist, and if you don't rank and answer those queries credibly, you're not losing evaluations — you're being excluded from them. We build organic search around the displacement, compliance, integration, and comparison queries that precede a seven-figure purchase decision, write pages technical enough to survive a procurement team's scrutiny, and tie every ranking to pipeline and closed-won in your CRM through a cycle that routinely runs nine to eighteen months. Over nine years we've done this for 60+ B2B tech companies and tracked $30M+ in marketing-led revenue.
We map the searches that precede an enterprise software purchase — displacement and alternatives queries, compliance and integration terms, comparison searches, and TCO questions — and audit your organic footprint against them. We separate the category-education volume no vendor converts enterprise buyers with from the commercial-intent queries you can own, find the comparison, compliance, and proof pages that are missing or underbuilt, and pull in pipeline and sales-call intelligence so the strategy reflects how your committee actually decides, not what a keyword tool reports.
We benchmark your situation against the enterprise-software and long-cycle B2B products among the 60+ B2B tech companies we've run SEO for. Which clusters convert for a platform with a nine-to-eighteen-month procurement cycle, why displacement and alternatives pages earn pipeline faster than category-education posts, how to build content the technical evaluator sends to IT and the champion sends to finance, what ranking velocity is realistic against your competitive set — we know the patterns, so the strategy starts from evidence instead of guesswork.
We prioritize ruthlessly by commercial value: which displacement, compliance, and comparison clusters to build first, which thin category-education posts to retire or consolidate, where to build integration and solution-specific pages for each committee persona, and where account-based and paid funnels and AI Search optimization should book meetings now while the organic engine compounds. You get a sequenced plan tied to pipeline and closed-won potential — not a backlog of everything.
We execute — technical fixes, displacement and alternatives builds, comparison and competitor content, compliance and security pages, TCO and business-case content, solution pages per persona, link-building, and analyst-adjacent authority — and we run the operation: briefing writers and domain experts so the work holds up to procurement scrutiny, coordinating dev on large enterprise web properties, and managing the editorial calendar so delivery is consistent and rankings compound quarter over quarter without becoming your team's second job.
Every month we read the results in your CRM — which query clusters and pages produced SQLs, what those are worth, how organic-sourced deals move through security review, procurement, and legal — and we listen to the pipeline and lost-deal notes. Displacement and comparison clusters that convert get scaled; thin category-education content gets cut; the objection that stalled the last deal in procurement becomes next month's compliance page. SEO becomes a managed revenue channel measured in pipeline that survives scrutiny — not a project measured in traffic.
We've run SEO across 60+ B2B tech companies selling to technical and executive buyers, including programs like Synebo (500% more SQLs, 2.73x organic traffic, #1 on Google in the Salesforce ecosystem) and Intelvision (flagship enterprise deal at 28.9x ROAS). We already know which queries convert for a platform selling six-to-seven-figure contracts: that displacement and alternatives terms ("[incumbent] replacement," "migrate from [legacy]") pull economic buyers with a mandate and a budget cycle, that compliance and integration queries surface the technical evaluator and InfoSec at exactly the moment the committee is forming, and that category-education volume pulls practitioners, students, and competitors. You don't spend a quarter explaining to us what a buying committee, a vendor risk assessment, a procurement redline, or an implementation partner ecosystem looks like. 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 displacement, compliance, integration, comparison, and TCO queries that actually precede a purchase in your category, separate the category-education volume you can't convert from the commercial-intent queries you can own, and find where your comparison pages, solution pages, and trust content are underbuilt or missing entirely. We pull in pipeline and sales-call data so the strategy reflects how your committee actually decides — which objections stall deals in procurement, which integration questions the technical evaluator asks, which competitor comparisons your champions need armed. You get a prioritized plan tied to pipeline potential, not search volume, fast enough to compound inside the first two quarters.
SEO is the most durable demand channel an enterprise software company can own — displacement and compliance queries compound for years and surface buyers at the exact moment they're forming a shortlist — but it's a build, not a switch, and the first quarter in a finite named-account universe often needs account-based and paid funnels to book meetings now. A growing portion of enterprise buyers and their analysts also start in ChatGPT or Perplexity with queries like "best enterprise [category] platform" or "enterprise alternatives to X" before any vendor site loads. Because we operate the full B2B tech growth stack, we sequence organic against your ABM, paid, and AI Search programs so they compound together — rather than optimizing SEO as a silo while the pipeline the company needs today waits.
Your lost deals and stalled-in-procurement accounts are the best keyword research an enterprise software company has. The TCO question that froze a deal in finance, the integration your evaluator needed before they'd shortlist you, the compliance certification the security reviewer asked for, the competitor comparison your champion couldn't answer internally — we sit close to those cycles and turn them into content briefs. The result is SEO that pre-answers what gets you eliminated: comparison pages that handle the incumbent honestly, compliance and security pages that anticipate the vendor risk assessment, integration architecture content that the technical evaluator sends to IT, and TCO content that arms the champion for the finance committee before they need it.
We instrument organic search end to end and report against deals, not traffic. Which displacement and comparison query clusters produce SQLs — contacts or accounts who match your ICP and have indicated real purchase intent — what those become in pipeline, and how organic-sourced deals move through the security review, vendor onboarding, procurement, and legal stage where enterprise deals stall — all tied back to your CRM. When we say SEO produced a deal, you can see it survive the 18-month cycle. 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 instead of cut when the board asks why form submissions aren't turning into contracts.
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
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 intent distribution and the committee structure make it a different discipline. The fat head terms in any enterprise software category — "what is ERP," "best HCM platform," "supply chain management explained" — pull practitioners, students, and analysts, not the economic buyers and technical evaluators running a vendor selection. The queries that precede a seven-figure purchase are displacement-specific ("alternatives to [incumbent]," "migrate from [legacy platform]"), compliance and integration searches ("[category] SOC 2," "enterprise integration with SAP / Workday"), comparison searches, and TCO queries that signal finance is involved. On top of that, the reader isn't one persona — it's eight to twenty committee members, most of whom you never meet, researching you anonymously before a form ever loads. SEO that works here targets the queries each committee member runs, builds proof assets that survive a vendor risk assessment, and reports against CRM pipeline through a cycle that can run nine to eighteen months — not against sessions or keyword rankings.
The queries that precede a commercial decision, not the ones that describe your category. In practice that's five clusters. Displacement and alternatives queries: "alternatives to [incumbent]," "migrate from [legacy]," "replace [competitor]" — the searches an economic buyer or internal champion runs when they've decided to change. Compliance and integration queries: "[category] SOC 2," "enterprise integration with SAP / Workday / Salesforce / ServiceNow," "data residency [category]" — what the technical evaluator and InfoSec bring to the committee. Comparison searches: "[competitor] vs [your company]," "[category] leaders comparison" — the mid-evaluation queries an economic buyer runs to pressure-test the shortlist. TCO and business-case queries: "[platform] total cost of ownership," "[category] implementation costs," "[competitor] hidden costs" — the searches finance runs when a budget commitment is forming. And named-category analyst adjacent searches: the queries buyers run to validate whether you belong on a serious shortlist. These have a fraction of the volume and a multiple of the commercial intent of anything in the category-education layer — and most enterprise software vendors under-invest them entirely.
Yes — and in enterprise software, building the right content is substantially a procurement-defusing exercise, because the deal is decided in review stages your AEs aren't in. A security reviewer with a questionnaire, a procurement team with a vendor risk assessment, and a legal team with an MSA redline each need different proof before they'll let a deal progress — and most of them research online before they ask you directly. Compliance and security pages that surface for the exact queries they run, integration architecture detail that anticipates the IT team's questions, and TCO content that pre-answers finance's concerns all reduce the friction at the stages where enterprise deals die. We treat those pages as commercial conversion assets — not just educational content — and track deals through those exact stages in your CRM so you can see where they stall and what content moved them.
Because thought-leadership answers the question "is this company credible and interesting?" and the queries that precede a purchase answer "is this the right platform to replace what we have?" — and those are different searches. A CFO forming a shortlist isn't searching for your take on the future of enterprise software; they're searching "alternatives to [incumbent]" and "[category] total cost of ownership." A technical evaluator isn't reading your category primer; they're searching "[category] SOC 2 compliance" and "[platform] vs [your platform]." Thought-leadership has a place — analyst and peer credibility, AI Search citations, and champion reinforcement — but it converts almost no enterprise pipeline on its own. We map your content footprint against the commercial-intent queries that actually precede a purchase, find where the displacement, compliance, comparison, and TCO pages are missing, and build the layer that converts while your thought-leadership earns authority.
Enterprise buyers and their analysts increasingly start with an AI assistant — asking ChatGPT or Perplexity for "best enterprise [category] platforms" or "enterprise alternatives to [incumbent]" before they visit any vendor site. If you're not cited there, you can be eliminated from the evaluation you never know is happening. The content that ranks you in organic search — displacement pages, compliance depth, comparison content, analyst-adjacent material — is the same content a model uses to decide whether to recommend you. We don't treat AI Search as a replacement for SEO; we treat it as the layer that captures buyers who start in an assistant, built on the same technical and authority foundation. Across our work this runs at roughly 80% AI Search recommendation success, which is why many enterprise software clients run both as one system rather than sequentially.
Foundational technical fixes, displacement and alternatives pages, and rebuilt compliance and comparison content can move qualified organic traffic and first SQLs within the first two quarters; durable rankings on competitive displacement and comparison clusters typically compound over three to six quarters. We prioritize the highest-intent, fastest-converting clusters first so you see commercial signal — SQLs and pipeline contributions — before waiting on a multi-year compounding curve. We're also honest that enterprise's procurement-gated cycle means deals close later than in mid-market SaaS. Attribution is tracked multi-touch in your CRM, through security review, procurement, and legal, so each month's report connects to revenue the company recognizes — not a session or ranking chart. 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, category competition, and target-account set.
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.
