+1,413%organic traffic growth
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
Service · AI Search Optimization for DevOps Companies
AI search optimization for DevOps companies that need to be the vendor AI assistants recommend, not a name technical buyers never see.
Get your CI/CD, platform-engineering, and cloud-native firm cited by ChatGPT, Claude, Perplexity, Gemini, and AI Overviews for the commercial prompts your buyers actually run — measured against real recommendation visibility and pipeline.
- B2B tech companies worked with
- 60+
- Years marketing to technical & executive buyers
- 9+
- CRM-tracked marketing-led revenue
- $30M+
- AI Search recommendation success rate
- 80%
- A map of the commercial DevOps prompts your buyers run across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews.
- A baseline audit of where your firm is — and is not — currently recommended for those prompts.
- Authority content that gives models the right evidence to cite you (capabilities, proof, comparisons, use cases).
- Entity and citation building: getting your firm into the third-party sources models trust for vendor questions.
- Structured data and on-site signals that make your expertise machine-legible.
- Placement in and influence over the listicles and comparison pages models pull from for DevOps vendor shortlists.
- Ongoing prompt-visibility tracking across assistants, by prompt and by competitor.
- Reporting that ties AI recommendation visibility to CRM-tracked conversations and pipeline.
How the system works
How the system works
Diagnose the market
We identify the high-intent DevOps vendor prompts and audit your current citation footprint across the major assistants.
Compare against known B2B tech patterns
We benchmark your visibility and evidence base against what has made comparable technical vendors citable.
Choose the right growth path
We prioritize the prompts, sources, and entity signals with the most commercial upside for your specific platform niche.
Build the service system
We produce the authority content, citation placements, and structured signals as one connected AI-visibility system.
Optimize against CRM and sales feedback
We track prompt visibility and AI-sourced pipeline and double down on the prompts and sources that produce real opportunities.
The XQL difference
Why XQL approaches AI search differently
- 01
Market memory
We have driven AI recommendation visibility across B2B tech categories and reached an 80% AI Search recommendation success rate for selected commercial prompts — we know what makes a technical vendor citable.
- 02
Faster diagnosis
We start by mapping the commercial DevOps prompts buyers actually run and auditing where you are already (or never) cited, instead of guessing.
- 03
Smarter channel selection
We decide where citation comes from — your own authority content, third-party listicles and comparisons, structured entity signals — rather than treating AI search like ordinary SEO.
- 04
Sales feedback loop
Your team tells us which AI-sourced conversations were real platform-engineering opportunities, and we steer prompt and entity targeting toward them.
- 05
CRM attribution
We track AI-assistant-influenced demand into the CRM so the work is judged on recommendation visibility and pipeline, not a vanity 'we appear in ChatGPT' screenshot.
Why XQL vs alternatives
Why XQL vs the alternatives
DimensionTypical approachThe XQL way
Traditional SEO agencyOptimizes for Google rankings and assumes AI visibility follows; it does not.Targets AI recommendation directly — prompts, entities, and the sources models cite.
Generalist marketing agencyHas no method for getting a technical vendor cited by AI assistants.Runs a defined AI Search Optimization system built for technical buyers.
In-house engineer-marketerCan write great docs but lacks an entity/citation strategy across assistants.Adds the off-site citation and entity work models actually weigh.
PR / link-building agencyChases links and coverage with no view of AI prompt visibility or pipeline.Places citations specifically where they change AI recommendations, tied to CRM.
Do nothingCedes the AI shortlist — and the first impression — to competitors.Gets you onto the shortlist before buyers ever reach your site.
Commercial outcomes
Proof from the same playbook.
Strategy first, channels second, sales feedback always. We measure by the qualified demand and revenue we can trace back inside the CRM.
Selected results
Senior operators on every account. Never a junior pod.- +500%more SQLs from organic
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%
Client signal
What B2B tech founders and CEOs say
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.
FAQ
Questions about this service.
You cannot dictate a model's answer, but you can strongly influence it by improving the evidence and third-party sources it draws on. Across selected commercial prompts we have reached an 80% recommendation success rate doing exactly this.
SEO targets ranked pages; AI Search Optimization targets being cited in a generated answer. They overlap but need different work — entity signals, citable evidence, and presence in the sources models trust for vendor questions.
ChatGPT, Claude, Perplexity, Gemini, and Google's AI Overviews — the assistants technical buyers use to build vendor shortlists.
Commercial, high-intent prompts — best platform-engineering or CI/CD partners, Kubernetes migration vendors, SRE consultancies for a given stack or industry — not informational how-to queries.
We track recommendation visibility per prompt and per competitor across assistants, and we tie AI-influenced conversations to pipeline in your CRM.
Some prompts shift within weeks as citable evidence and sources improve; broader, competitive prompts compound over a few months as your entity authority builds.
Ready when you are
Let's talk.
Bring your offer, channels, and revenue goals. We'll show you where the biggest growth constraint is and what to build next.
Danylo FedirkoFounder
For B2B tech companies selling complex expertise to serious buyers.
- B2B tech clients
- 60+
- Revenue generated
- $30M+
