Service · SEO for Applied AI Companies

SEO for applied-AI and AI-infrastructure companies that wins the evaluation queries your buyers run, not the category term the hyperscalers already own.

You cannot out-rank AWS, a foundation-model lab, or a category-defining unicorn for the head terms, and chasing them burns a year of budget. Your winnable demand lives in the specific, high-intent queries a platform or ML engineer runs before they commit: evaluation, cost at scale, build-vs-buy-vs-self-host, governance, and vertical use cases. We own those, with content deep enough to satisfy an engineer and structured to be cited by the AI engines that now read the same pages. Across engagements we have driven 2.4x organic traffic in nine months and 133% SQL growth per quarter, all tied to pipeline in the CRM.

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%
  1. Buyer-intent keyword strategy for AI products: map the evaluation, cost, build-vs-buy-vs-self-host, governance, and vertical use-case queries your buyers run, sized by pipeline value, and route around the head terms the giants own.
  2. Evaluation and comparison pages: 'how to evaluate X,' '[you] vs [hyperscaler service],' '[you] vs [open-source project],' and 'best tools for [use case]' pages that intercept buyers mid-decision and frame the choice on reliability, cost, and depth.
  3. Docs-as-marketing: turn your documentation, benchmarks, and technical guides into content that ranks, converts, and is credible to a practitioner, without dumbing it down or losing the economic buyer.
  4. Governance and security content: data-residency, compliance, and model/data-lineage pages that answer the questions that gate enterprise AI deals before they reach features.
  5. Technical SEO on modern stacks: crawlability, indexation, Core Web Vitals, internal linking, and structured data across JavaScript-rendered and headless setups, with migrations run to protect rankings.
  6. Editorial content and writer enablement: deeply researched briefs precise enough to survive an ML engineer's read, produced with your team or ours, mapped to the buyer's decision rather than keyword volume.
  7. Editorial link-building and digital PR: authority earned from credible sources in the AI and engineering ecosystem, which doubles as the off-site signal AI answer engines read.
  8. CRM and analytics instrumentation: organic-to-trial-to-deal tracking wired into your CRM, reported monthly on pipeline and revenue influenced, not sessions and rankings.
How the system works

How the system works

  1. Diagnose the market

    We map the searches that precede a purchase in your category, evaluation, cost, build-vs-buy, governance, and use-case queries, and audit your footprint against them, separating winnable terms from the ones the giants own. We pull in sales-call intelligence so the picture reflects how buyers actually decide.

  2. Compare against known B2B tech patterns

    We benchmark you against the AI, data, and infrastructure companies among our 60+ B2B tech clients: which clusters convert for a product versus a service, which pages rank fastest, what ranking velocity is realistic against your competitive set, so the strategy starts from evidence.

  3. Choose the right growth path

    We prioritize by commercial value: which evaluation, cost, and vertical clusters to build first, which docs and product pages to rebuild for the economic buyer, which head terms to abandon, and where paid or AI Search should carry pipeline while content compounds.

  4. Build the service system

    We execute, technical fixes, evaluation and comparison pages, docs-as-marketing, governance content, briefs, and link-building, and run the operation, briefing writers who pass an engineer's read and coordinating dev work, so rankings compound without becoming your team's second job.

  5. Optimize against CRM + sales feedback

    Every month we read the CRM, which queries and pages produced trials and sales conversations, how organic-sourced deals move through evaluation, and we listen to sales. Winning clusters get scaled, underperformers cut, new objections become next month's content. SEO becomes a managed revenue channel.

The XQL difference

Why XQL ranks AI companies differently

  • 01

    Market memory

    We have run SEO for 60+ B2B tech companies, and we know which queries convert for an infrastructure-grade product versus which only look like demand: that evaluation, cost, and build-vs-buy searches sit closest to a decision, while broad "what is" category traffic pulls students and competitors. You do not spend a quarter teaching us what inference, eval, or a vector index is. We start from pattern recognition, not a discovery deck.

  • 02

    Faster diagnosis

    We map your organic footprint against the evaluation, cost, governance, and use-case queries that actually precede a purchase, separate the head terms the giants own from the ones you can realistically win, and find where your docs and product pages leak the economic buyer. You get a prioritized plan tied to qualified pipeline inside the first weeks, not a 90-day audit that ends in a backlog.

  • 03

    Smarter channel selection

    SEO is the cheapest durable demand you can own, but it is a build, and we will tell you when paid or ABM is the faster path to pipeline this quarter while content compounds. And because a growing share of buyers ask an assistant for a shortlist first, we build the same pages to rank and to be cited by AI engines. Running the full growth stack, we sequence organic against the rest of your GTM instead of optimizing a silo.

  • 04

    Sales feedback loop

    Your sales and solutions calls are the best keyword research you have: the evaluation criteria buyers apply, the hyperscaler and open-source objections, the security and cost questions that stall a deal, the verticals where you keep winning. We sit close to those calls and turn them into content briefs and target pages, so your SEO answers what buyers actually ask, not what a keyword tool guessed.

  • 05

    CRM attribution

    We instrument organic end to end and report in revenue terms: which query clusters and pages produce trials and sales conversations, how organic-sourced deals progress through technical and security evaluation, tied back to your CRM across a long, multi-stakeholder cycle. That discipline is how we have tracked $30M+ in marketing-led revenue and why the SEO budgets we manage survive long cycles instead of getting cut mid-stream.

Why XQL vs alternatives

Why XQL vs the alternatives

DimensionTypical approachThe XQL way
Traditional SEO agencyChases the category head terms an AI startup cannot win, reports rankings and sessions, and rarely connects a trial or a sales conversation to the work.Targets the evaluation, cost, and governance queries that precede a decision, and reports trials, pipeline, and revenue tied back to your CRM.
Generalist marketing agencyTreats your AI product like any other client, ships content practitioners see through, and cannot tell buyer queries from researcher traffic.Brings market memory from 60+ B2B tech companies and knows which searches convert and which content survives an ML engineer's read.
Freelancer / SEO contractorExecutes a slice, keywords, or links, or writing, but cannot run technical, docs, comparison pages, links, and CRM attribution as one system.Runs the full operation and manages writers and vendors so it ships without your team's oversight.
In-house marketerOwns strategy but is stretched thin, lacks comparative benchmarks across AI companies, and cannot make SEO compound alone at the field's pace.Acts as the senior operating partner with cross-client pattern recognition, giving your team leverage instead of more work.
Offshore SEO / content shopShips cheap, high-volume articles a practitioner discounts instantly, with links that risk a penalty against a domain you cannot afford to lose.Produces a smaller set of buyer-intent, technically credible pages that rank, convert, and get cited, with editorial link-building that protects the domain.
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
  • $10Minbound pipeline per year

    Relevant Software

    Software development company · 3 years
    • $1M revenue/year
    • Cost per MQL & SQL halved

    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.
  • $5.5Mpipeline per year

    Confidential client

    Software development company · 3.5 years
    • 140 SQLs/year
    • $600K SEO revenue

    Ran the full marketing function for 3.5 years — 140 SQLs and ~$600K in revenue per year from SEO alone, plus 10 MQLs/month from LLM recommendations.

    ServicesFractional CMO · SEO · Appointment Funnels

    Their focus on results and true interest in making things work set them apart.

    — Content Manager
  • $1.8Minbound pipeline, built from zero

    WeSoftYou

    Software development company · 3 years
    • 100% YoY SQL growth
    • 207% traffic increase

    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.

    — Maksym Petruk, CEO & Founder, WeSoftYou
  • 28.88×return on ad spend

    Intelvision

    Staff augmentation company
    • $240K revenue from Meta
    • 5 deals in 12 months

    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.

    — Yurii Kotula, CEO, Intelvision
  • $2Min deals sourced from ChatGPT

    Computools

    Software development company
    • 2 enterprise deals from LLMs
    • 3-month engagement

    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.

    — COO, Computools
  • +1,413%organic traffic growth

    DBB Software

    Software development company · 3 years
    • 28 SQLs from zero
    • 3 deals won

    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.

    — Volodymyr H., COO, DBB Software
  • +500%more SQLs from organic

    Synebo

    Salesforce consulting company
    • 2.73× organic traffic
    • MQL→SQL 17% → 29%

    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.

    — Anna Senchenko, Marketing Lead, Synebo
  • more clients in 2024 vs 2023

    Cieden

    Product design agency · 9 months
    • 133% more SQLs/month
    • 2.4× organic traffic

    Restructured the marketing team and shifted to lead-driving SEO — doubling client count and growing SQLs 133% in nine months.

    ServicesSEO · Fractional CMO

  • 80%of service pages in Google's top 5

    Noltic

    Salesforce consulting company · 9 months
    • 20/25 pages top 5
    • First SEO deals closed

    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.

    — Anna Riabushenko, Head of Marketing, Noltic
  • 2,000monthly organic visitors, from zero

    Artkai

    Software development company · 9 months
    • DR 27 → 44
    • 50+ leads generated

    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.

    — Kos Chekanov, CEO & Founder, Artkai
  • 15×AI-assistant traffic growth

    Gapsy Studio

    Design agency · 3 months
    • +70% Google clicks
    • First SQLs from SEO

    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

  • 104appointments from paid

    Kitrum

    Software development company
    • 466 leads
    • $25.79 cost per lead

    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.

    — Lead of Marketing, Kitrum
  • $840customer acquisition cost

    Split Development

    Shopify development agency
    • 66 leads at $38 CPL
    • 3 deals in 4 months

    Built paid funnels from scratch — $2,522 in ad spend returned 3 signed clients and 66 leads at $38 CPL in under 4 months.

    ServicesMeta Ads · Fractional CMO

  • 4 clientswon in the first 3 months

    Hoverla Soft

    Software development company · 3 months
    • Marketing built from zero
    • ABM + social selling

    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.

    — CEO, Hoverla Soft
  • 1 dealclosed in a single month

    SolarSpark

    Game development studio · 1 month
    • Recommended by LLMs
    • 2 commercial keywords

    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.

    — CEO, SolarSpark
  • 100%AI-search placement success

    Baytech Consulting

    Software development company
    • 3 keywords, all LLMs
    • Deal from paid funnels

    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.

    — Partner, Baytech Consulting
  • #1AI recommendation in one month

    Opsworks

    DevOps company · 1 month
    • Recommended by major LLMs
    • 1 commercial keyword

    Positioned for an important commercial keyword and recommended by the major AI assistants within a single month.

    ServicesAI Search · AEO/GEO

  • 6 SQLsin year one, from scratch

    HBM

    B2B tech company · 1 year
    • 75 leads
    • 22 MQLs

    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

  • 3 opportunitiesin two months from ABM

    Riseapps

    Healthcare software company · 2 months
    • 13 ICP calls
    • 2-month sprint

    A targeted ABM campaign booked 13 conversations with ICP accounts and opened three opportunities in two months.

    ServicesABM

  • $34per booked intro call

    Gointeger

    Shopify development agency
    • Positioning + website
    • Booked-call funnel

    Repositioned the agency, revamped the site, and built appointment funnels that booked qualified intro calls at just $34 each.

    ServicesAppointment Funnels · Positioning · Website

  • $123per qualified ICP call

    Omisoft

    Software development company
    • 76 leads
    • 34 appointments

    A custom AI-assistant paid funnel produced 76 leads and 34 booked appointments at $123 per call with an ICP.

    ServicesAppointment Funnels · Meta Ads

  • 2 dealsfrom $42 leads

    Rizz Group

    AI video production company
    • $42.34 CPL
    • $1,482 spend

    Meta appointment funnels delivered 35 leads at a $42 CPL and closed two deals on modest spend.

    ServicesAppointment Funnels · Meta Ads

  • Your case could be next.

    Browse the full set of SEO and paid outcomes we’ve engineered.

    See all case studies
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.
Maksym PetrukCEO & Founder, WeSoftYou
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.
Kos ChekanovCEO & Founder, Artkai
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.
Yurii KotulaCEO, Intelvision
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.
Anna SenchenkoMarketing Lead, Synebo
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.
Volodymyr H.COO, DBB Software
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.
Anna RiabushenkoHead of Marketing, Noltic
They were not just talking about AI search in theory; they knew how to approach it practically.
SolarSparkCEO
What impressed us most was their deep specialization in working with software development companies.
Baytech ConsultingPartner
They've brought structure, strong execution, and constant initiative to improve outcomes.
KitrumLead of Marketing
They operated with the discipline and initiative of an internal senior marketer.
ComputoolsCOO
Their ability to combine strategic vision with hands-on execution was particularly valuable.
Hoverla SoftCEO
Their focus on results and true interest in making things work set them apart.
InoxoftContent Manager
XQL Group's project management was exemplary.
EcrivioHead of Operations
The quality of their work is consistently high.
DataPlumbersFounder
FAQ

Questions about this service.

More questions?

Bring your growth constraint to a call and leave with a plan.

Book a strategy call

Not by attacking the category head terms head-on, and you should not try. Those are defended by companies with authority and budgets you will not match, and even winning one pulls more researchers than buyers. The winnable, higher-intent demand is in the queries the giants ignore: evaluation, cost at scale, build-vs-buy-vs-self-host, governance, and vertical use cases. We concede the unwinnable terms deliberately and own the searches that actually precede a decision, which is how a focused product beats a generalist giant on the queries that matter.

The ones that map to a live decision, not the category label. In practice: evaluation queries (how to evaluate a platform, eval and drift), cost queries (inference cost at scale, GPU optimization), build-vs-buy-vs-self-host comparisons, governance and security queries (data residency, compliance for AI), and vertical use-case queries. These are lower-volume and far higher-intent than the head terms, they convert to trials and sales conversations, and the giants largely skip them, which is why you can win them.

Both fail for opposite reasons: shallow trend posts get discounted by practitioners in a paragraph, and pure docs never convert the economic buyer who signs the contract. We build pages that do both jobs, technical depth an engineer respects, framed around the business decision the buyer is making, with the benchmark, cost, and governance proof that moves an evaluation. We also turn your existing docs into content that ranks and converts, so the material you already have starts producing pipeline.

They share a foundation. The authoritative, well-structured pages that rank in Google are exactly what AI answer engines retrieve and cite when your buyers ask an assistant for a shortlist, and about half the sources cited in AI answers also rank organically. So one content investment compounds across both surfaces. We build every page to rank and to be citation-ready, which is why we treat SEO and AI Search as one program rather than two line items for an AI company.

Foundational fixes and rebuilt money pages can move qualified traffic and trials within the first quarter; durable rankings on competitive evaluation and vertical clusters typically compound over two to four quarters. We prioritize the highest-intent, fastest-converting opportunities first so you see commercial signal early. Across engagements we have 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 it. An AI-platform deal touches a platform or ML engineer who vets capability, a security reviewer, and an economic buyer who approves spend, so the first organic touch often happens months before close, which is when attribution gets lost. We track the full path in your CRM, first touch, trial, sales conversation, SQL, won, and report SEO as revenue influenced. That attribution keeps the budget funded through a long cycle instead of cut mid-stream.

Because fluency and accountability are what make SEO pay back here. A generalist spends your first quarter learning what an AI buyer searches and ships content a practitioner dismisses. A cheap content shop ships volume that is off-intent and a penalty risk. We start from 60+ B2B tech engagements, sit close to your sales calls, run technical, content, links, and attribution as one system, build pages that also win AI search, and report against your CRM. You are buying a managed revenue channel, not rankings.

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+
Danylo Fedirko, Founder of XQL Group
Danylo FedirkoFounder, XQL Group
Let’s talk

Book a call with me.

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.

Prefer to write first?

XQLGROUP SL will process your data to respond to your inquiry and manage pre-contractual communication. You can exercise your data rights at info@xql.group. More information is in our Privacy Policy.