Service · SEO for Sensing & Photonics Companies

SEO for sensing and photonics companies that makes you discoverable at the exact spec and application query an engineer runs, not the category term.

Engineers do not search "camera" or "LiDAR"; they search a modality, a spec, an application, a part number, an integration problem. Broad terms are owned by incumbents and catalog distributors, and even ranking one pulls students more than a perception engineer with a live design. We own the specific spec and application queries your buyers actually run, with content deep enough that a skeptical engineer trusts it, and structure it to be cited by the AI engines reading the same pages. Across engagements we have driven 2.4x organic traffic in nine months and 133% SQL growth per quarter, tied to design-in conversations 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 technical keyword strategy: map the modality, spec, application, part-comparison, and integration-problem queries your engineers run, sized by design-win value, and route around the category terms incumbents and distributors own.
  2. Technical content and reference material: application notes, reference integrations, selection guides, and integration-problem content, deep and condition-stated enough that a skeptical engineer trusts and acts on it.
  3. Unbury the proof: bring real performance data, condition-stated benchmarks, and comparisons out of datasheet PDFs and portals into pages that rank and can be found at the query.
  4. Vertical landing pages: automotive, defense, industrial, medical, and scientific application pages that match how each vertical searches and what proof it expects.
  5. Part-comparison and alternatives content: '[your part] vs [incumbent]' and '[incumbent] alternatives' pages that intercept engineers mid-evaluation and frame the switch on real-world performance.
  6. Technical SEO for documentation and catalog: crawlability, indexation, structured data, and parametric/part-catalog SEO so your portfolio is discoverable and machine-readable.
  7. CRM and analytics instrumentation: organic-to-design-in tracking wired into your CRM, reported monthly on design-in conversations and pipeline, not sessions and rankings.
How the system works

How the system works

  1. Diagnose the market

    We map the technical queries that precede a design-in, modality, spec, application, comparison, and integration-problem searches, and audit your footprint against them, finding where your proof is buried and which terms are winnable, grounded in field-engineering input.

  2. Compare against known B2B tech patterns

    We benchmark you against the deeply technical B2B tech companies we run SEO for: which technical content converts, which pages rank fastest, what velocity is realistic against incumbent- and distributor-dominated terms, so strategy starts from evidence.

  3. Choose the right growth path

    We prioritize by design-win value: which modality, spec, and application clusters to build first, which buried proof to surface, which vertical and comparison pages to publish, and where ABM and ecosystem work should carry demand while technical content compounds.

  4. Build the service system

    We execute, technical SEO, application notes and reference content, vertical and comparison pages, parametric catalog SEO, and thought leadership, and run the operation, briefing writers who pass a perception engineer's read and coordinating with your engineers, so rankings compound without becoming their second job.

  5. Optimize against CRM + sales feedback

    Every month we read the CRM, which queries and pages produced design-in conversations, how organic-sourced opportunities move, and we listen to field and sales engineers. Winning clusters get scaled, new technical objections become content. SEO becomes a managed discovery-and-pipeline channel.

The XQL difference

Why XQL ranks sensing and photonics companies differently

  • 01

    Market memory

    We have run SEO for 60+ B2B tech companies and know which queries convert for a deeply technical product versus which only look like demand: that specific modality, spec, and application searches sit closest to a design-in, while broad category and 'what is' traffic pulls students and hobbyists. You do not spend a quarter teaching us how a perception engineer searches. We start from the pattern.

  • 02

    Faster diagnosis

    We map your footprint against the modality, spec, and application queries that actually precede a design-in, separate the category terms incumbents and distributors own from the ones you can win, and find where your best technical content is buried in PDFs and portals. You get a prioritized, design-win-tied plan in weeks.

  • 03

    Smarter channel selection

    SEO makes you discoverable at technical research, but the market is vertical and account-based, so we sequence it with ABM and ecosystem work rather than treating organic as the whole plan. And because engineers now ask an assistant for candidates too, we build every page to rank and to be cited by AI engines.

  • 04

    Sales feedback loop

    Your field-application and sales engineers know the real queries and objections, the specs and applications that open a design-in, the incumbent comparison, the real-world-performance gating questions. We turn those into technical content briefs and target pages, so your SEO answers what engineers actually search.

  • 05

    CRM attribution

    We instrument organic end to end and report in the currency that matters: which technical queries and pages produce design-in conversations, how organic-sourced opportunities move through the long cycle, tied to your CRM. That discipline is how we have tracked $30M+ in marketing-led revenue and why technical-content budgets survive a multi-year cycle.

Why XQL vs alternatives

Why XQL vs the alternatives

DimensionTypical approachThe XQL way
Traditional SEO agencyChases category head terms owned by incumbents and distributors, reports rankings and sessions, and cannot produce content an engineer respects.Targets the modality, spec, and application queries that precede a design-in, publishes condition-stated substance, and reports design-in conversations tied to your CRM.
Generalist marketing agencyTreats your product like any other client, ships shallow content engineers dismiss on sight, and cannot tell buyer queries from hobbyist traffic.Brings market memory from deeply technical B2B tech companies and builds content engineers trust and act on.
Freelancer / SEO contractorExecutes a slice but cannot run technical SEO, application-note content, vertical and comparison pages, catalog SEO, and CRM attribution as one system.Runs the full operation and extracts technical substance from your engineers efficiently, so it ships without becoming their burden.
In-house marketerOwns strategy but is stretched thin, struggles to get engineering time for content, and lacks benchmarks across technical categories.Acts as the senior operating partner who extracts and packages technical substance and runs the program, giving your team leverage.
Distributor / datasheet portal relianceLeaves discovery to catalog distributors and your datasheet portal, so distributors capture the intent and you compete as a catalog line, not on your advantage.Builds your own discoverable technical presence so engineers find and evaluate you directly on real-world performance, not just as a catalog part.
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

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Book a strategy call

Not by attacking broad terms like 'industrial camera' or 'LiDAR sensor', they are owned by incumbents and catalog distributors, and even winning one pulls students more than engineers. The winnable, higher-intent demand is in the specific queries they do not serve well: a modality-plus-spec query, an application query, a part comparison, or an integration problem. We concede the category terms and own the searches where a design-in begins, which is how a focused vendor gets discovered on its performance merits rather than as a price line in a distributor catalog.

Yes, a big one. Datasheet PDFs and gated portals rank poorly and often cannot be found at the query an engineer runs, so your best proof is invisible at the moment of research. We bring the substance, condition-stated performance, benchmarks, selection guidance, reference integrations, into pages that rank and are machine-readable, and add parametric catalog SEO so your portfolio is discoverable. Unburying your technical proof is frequently the fastest win, because the material already exists.

By publishing genuinely technical, condition-stated content, not marketing dressed up as technical. Engineers act on application notes, reference integrations, and honest performance data with real-world conditions stated, and they discount cherry-picked bench numbers instantly, which damages your credibility. We produce that substance through structured interviews with your engineers and briefs precise enough that the output survives a perception engineer's read. In this category, technical depth and honesty are the only SEO that converts, because the reader is the person who designs you in.

They share a foundation. The authoritative, machine-readable technical pages that rank in Google are exactly what AI answer engines retrieve and cite when an engineer asks an assistant for candidates by requirement, and about half the sources cited in AI answers also rank organically. So one technical-content investment compounds across both surfaces. We build every page to rank and to be citation-ready, which matters because engineers increasingly start with an assistant.

Unburying proof and building the highest-intent modality and application pages can move qualified engineer traffic and early conversations within a quarter or two; durable rankings on competitive technical clusters compound over several quarters; and the design-in itself lands on the host product's cycle. We prioritize the highest-value queries first so you see engineer engagement early. Across engagements we have driven 2.4x organic traffic in nine months and 133% SQL growth per quarter in faster segments; sensing timelines track your design-in cycle, which is why we report leading indicators.

We instrument the full path in your CRM, first technical touch, design-in conversation, design-in, integration, production, and report SEO as design-in conversations and pipeline influenced, not sessions. Because the payoff arrives quarters or years later, we make the leading indicators, engineer engagement on technical pages, spec-query rankings, design-in conversations sourced, visible early, so the investment stays funded through a long cycle instead of cut before an integration it seeded ever lands.

Because technical credibility and long-cycle accountability are what make SEO pay back here. A generalist ships content engineers dismiss and chases terms distributors own. A cheap content shop makes it worse, shallow or bench-best content actively damages your credibility with engineers. We start from 60+ B2B tech engagements, extract technical substance from your engineers, run technical SEO, content, vertical and comparison pages, and catalog SEO as one system, build pages that also win AI search, and report design-in pipeline in your CRM. You are buying discoverability and credibility with the engineer who designs you in.

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.

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