Operations and automation buyers ask ChatGPT or Perplexity for "best warehouse robotics for mixed-SKU fulfillment" or "autonomous mobile robots for a cold-storage facility" before they call a vendor, and the category's own language, physical AI, embodied AI, AMR, is still stabilizing. The engines build the shortlist from what the web says about you. We get robotics products cited and recommended for the commercial prompts your buyers actually run, grounded in payback and real-world reliability rather than autonomy hype. 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 assistant prompts that precede a robotics purchase and run them across the major engines, recording where you are cited, where an incumbent or a vague answer wins, and which sources the models trust, grounded in your sales calls so the prompt list reflects how buyers actually decide.
We benchmark your position against the technical, ROI-driven B2B tech companies we run AEO for: which content earns citations fastest, which off-site signals move a shortlist, what recommendation velocity is realistic in a still-forming category.
We prioritize by commercial value: which specific, winnable prompts to own first, which payback and deployment content to make citation-ready, which mentions to earn, and where SEO, paid, or ABM should carry pipeline while citations compound.
We execute: citation-ready ROI and comparison content, entity and structured-data cleanup, the off-site mention strategy, and the monitoring cadence, briefing writers who can pass an automation engineer's read, so visibility compounds without becoming your team's second job.
Every month we read presence, citation rate, AI-referred pipeline in your CRM, and branded-search lift, and we listen to sales. Winning prompts get scaled, gaps closed, and new objections become next month's content. AI Search becomes a managed revenue channel.
We run AI Search across 60+ B2B tech companies and get them recommended at roughly an 80% success rate. We know which commercial prompts an ROI-driven operations buyer runs before they shortlist, and which content and third-party signals the engines actually retrieve, so we start from the pattern rather than guessing which prompts matter for a still-forming category.
We run your real buyer prompts through ChatGPT, Claude, Perplexity, and Google AI and record where you appear, where an incumbent or a vague answer wins, and which sources the engines cite. Within weeks you have a gap map, prioritized by commercial value, of the prompts you win, the ones you are absent from, and the citations standing between you and the shortlist.
AI Search is fast-moving but not a silo. Some demand you win by being cited; some needs SEO to build the authority the models read; some needs paid and ABM to book meetings while citations compound. Running the full stack, we sequence AEO against the rest of your GTM so it produces pipeline, not just a screenshot of a good answer.
The prompts that matter are the ones your buyers type, and your sales calls reveal them, the use cases operations raise, the payback and uptime questions, the deployment concerns that gate a deal. We turn those into the exact commercial prompts we target and the substantiated content that answers them, so you get cited on the queries that precede a purchase.
We instrument AI Search end to end, presence and citation rate for your prompts, AI-referred sessions, branded-search lift, and tie it to pipeline in your CRM. Attribution is messy since a buyer who meets you in an assistant often returns as direct traffic, so we watch leading indicators and connect them to sourced opportunities, making AEO defensible revenue rather than a vanity screenshot.
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.
That instability is actually your opportunity. When the language is unsettled, the models return vague or incumbent-heavy answers, and a vendor that clearly defines and owns a specific use case, 'AMRs for cold storage,' 'bin-picking for high-mix electronics,' becomes the reference the engines reach for. You will not win 'best robotics'; you win narrow, high-intent prompts by being the most precise, best-substantiated answer. We target those prompts, publish the payback and deployment proof that answers them, and earn the third-party 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 it leans far more on off-site signals, because the engines assemble a shortlist by corroborating across reviews, roundups, trade press, and community signal rather than trusting your homepage. 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 brand-mention work.
Yes, significantly. If your payback and uptime proof lives behind a form or in a sales deck, the AI engines never see it, so they cannot cite it, and the model has nothing to corroborate. We bring the substance of that ROI and deployment proof onto the open web in a citation-ready form, stated with conditions so the model trusts it, and seed the third-party mentions that reinforce it. Ungating and structuring your real-world proof is often the single biggest unlock for a robotics vendor's AI visibility.
Three things: whether you appear and get cited for your target prompts (tracked weekly, manually plus tooling), AI-referred sessions in analytics, and the branded-search lift that follows a recommendation, all tied to sourced pipeline in your CRM. Attribution is messy because a buyer who meets you in an assistant often returns as direct traffic, so we watch leading indicators and connect them to opportunities. The number that matters is LLM-sourced pipeline you can trace.
Faster than ranking a competitive 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 content and off-site signals are in place, and recommendation success compounds from there, roughly 80% across clients. The pace depends on how niche your use case is; a focused vendor owning a specific facility type or payload gets named faster than one fighting a broad, vague prompt.
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.' We target the specific, winnable prompts a robotics buyer runs, structure your payback and reliability story to be cited, earn the off-site mentions that get you shortlisted, monitor the engines as they and the category shift, and report LLM-sourced pipeline in your CRM. You are buying a managed AI-visibility channel run by people who know how ROI-driven operations buyers 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.
