Design engineers now ask ChatGPT, Claude, or Perplexity for "low-power RISC-V cores for edge AI" or "EDA tools for advanced-node timing closure" as an early step in scoping a design, before they dig into datasheets. The engines answer from what the technical web says about you, and by default they name the incumbents they already know. We get semiconductor products cited and recommended for the technical prompts your engineers actually run, grounded in real PPA and benchmark proof rather than adjectives. Across our work we get clients recommended at roughly an 80% success rate, with first inbound leads from LLMs inside 30 days.
We map the requirement prompts engineers run early in a design and run them across the major engines, recording where you are cited, where an incumbent wins, and which technical sources the models trust, grounded in your field-engineering and sales input.
We benchmark your position against the deeply technical B2B tech companies we run AEO for: which technical content earns citations fastest, which off-site signals move a shortlist, what recommendation velocity is realistic against an incumbent-saturated category.
We prioritize by design-win value: which specific requirement prompts to own first, which PPA and reference proof to make citation-ready, which technical mentions to earn, and where SEO, ABM, or ecosystem work should carry the load while citations compound.
We execute: citation-ready PPA and reference content, entity and structured-data cleanup, the off-site technical-mention strategy, and the monitoring cadence, briefing writers who can pass a design engineer's read, so visibility compounds without becoming your team's second job.
Every month we read presence, citation rate, AI-referred design-in conversations in your CRM, and search lift, and we listen to field and sales engineers. Winning prompts get scaled, gaps closed, and new technical objections become next month's content. AI Search becomes a managed pipeline channel.
We run AI Search across 60+ B2B tech companies and get them recommended at roughly an 80% success rate. We know how a skeptical, data-driven engineer researches and which technical content and third-party signals the engines actually retrieve, so we start from the pattern rather than guessing which requirement prompts matter in your segment.
We run your engineers' real requirement prompts through ChatGPT, Claude, Perplexity, and Google AI and record where you appear, where an incumbent is named instead, and which sources the engines cite. Within weeks you have a gap map, prioritized by design-win value, of the prompts you win, the ones you are absent from, and the citations standing between you and the shortlist.
AI Search is one surface engineers use; technical SEO, community, and ecosystem presence are others, and ABM reaches the named accounts. Running the full stack, we sequence AEO against the rest of your GTM so it feeds real design-in conversations, not just a screenshot of a good answer.
The prompts that matter are the requirement queries your engineers actually field, and your field-application and sales engineers know them, the comparisons, the incumbent objection, the technical gating questions. We turn those into the exact prompts we target and the substantiated technical content that answers them, so you get cited where a real design decision starts.
We instrument AI Search end to end, presence and citation rate for your requirement prompts, AI-referred sessions, branded and part-number search lift, and tie it to design-in conversations and pipeline in your CRM. Attribution is messy since an engineer who meets you in an assistant returns via a part-number search, so we watch leading indicators and connect them to sourced opportunities.
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.
Not by chasing generic prompts like 'best microcontroller', the models return the incumbents there. You win on specificity: 'lowest-power Cortex-M for always-on audio,' 'PCIe 6.0 controller IP with X,' 'EDA flow for chiplet timing closure.' For those narrow, high-requirement prompts the engines reward the most precise, best-substantiated answer, which a focused part can be and a broad incumbent is not. We target those prompts, bring your real PPA and reference proof onto the open web in citation-ready form, and earn the technical mentions that make the models corroborate and name you.
No, though they share a foundation. SEO ranks your pages; AEO gets you named and cited inside the generated answer, and for semiconductors it depends on getting technical substance the models can trust onto the open web, plus the ecosystem and community mentions the engines corroborate across, rather than trusting your datasheet portal alone. An agency that only rewrites your pages gets you cited occasionally but never shortlisted. We run both the on-site citation work and the off-site technical-mention work.
Yes, significantly. If your best technical proof lives in a datasheet PDF or behind a login, the AI engines largely cannot read or cite it, and the model has nothing on the open web to corroborate. We bring the substance, honest PPA, benchmarks with conditions, reference designs, application notes, onto the open web in a citation-ready form the engines can lift, and seed the technical-community and ecosystem mentions that reinforce it. Making your technical proof machine-readable and open is often the single biggest unlock for a semiconductor company's AI visibility.
We track whether you appear and get cited for your target requirement prompts (weekly, manually plus tooling), AI-referred and part-number search lift, and the design-in conversations those produce in your CRM. Attribution is messy because an engineer who meets you in an assistant returns via a part-number search or a distributor, so we watch leading indicators and connect them to sourced design-in opportunities. The number that matters is LLM-influenced design-in conversations you can trace, not a screenshot.
Faster than ranking a competitive technical keyword, because a mention does not require outranking an entrenched page. Across our work first inbound leads from LLMs typically land inside about 30 days once the technical content and off-site signals are in place, and recommendation success compounds from there, roughly 80% across clients. The design-in itself still runs on your long cycle; AEO gets you into the shortlist far earlier, which is where a challenger most needs to be.
Because we specialize in your buyer and run the whole play. A general AEO shop optimizes your pages and stops, or rebrands SEO as 'GEO', and usually cannot produce or extract the technical substance a semiconductor product needs to be cited. We target the specific requirement prompts engineers run, bring your PPA and reference proof into citation-ready form, earn the technical mentions that get you shortlisted, monitor the engines as they shift, and report LLM-sourced design-in pipeline in your CRM. You are buying a managed AI-visibility channel run by people who know how engineers decide.
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.
