Engineering managers, VP Engs, and talent leads now open the staffing decision inside ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews: 'best staff augmentation companies for React,' 'staff aug vs. Toptal for a senior backend hire,' 'nearshore augmentation for a US fintech team.' The model returns a shortlist. If your firm is not on it — with the right framing about vetting, speed, and people-quality — you are invisible at the moment buyers are forming their first impression of who to call. We get staff augmentation companies onto those AI shortlists, measured against real recommendation visibility and pipeline.
We identify the high-intent augmentation vendor prompts — staffing comparisons, role-and-stack-specific hire prompts, vetting and trust prompts, nearshore geography queries — and audit your current citation footprint across the major AI assistants, including the framing models use when they cite you versus competitors.
We benchmark your visibility and evidence base against what has made comparable augmentation and outstaffing providers citable. We know the content and citation patterns that shift AI recommendations in this category — people-quality proof, speed-to-candidate specifics, and honest leveling convert the buyer-facing models that generic 'top talent' language cannot.
We prioritize the prompts, sources, and entity signals with the most commercial upside: the staffing-comparison prompts a hiring manager runs mid-decision, the role-specific prompts that produce qualified conversations with buyers who have a named opening, and the trust-and-vetting prompts that clear the buyer's default suspicion before any outreach.
We produce the authority content — vetting and leveling pages, comparison content, role-specific landing pages — the citation placements in the third-party sources models trust, and the structured entity signals as one connected AI-visibility system that compounds as your firm's reputation as a reliable, quality augmentation partner becomes established across AI knowledge surfaces.
We track prompt visibility and AI-sourced pipeline monthly, read which prompts produced conversations with buyers who actually have a seat open, and double down on the prompts and sources that convert into placements and seat expansion — the real measure of augmentation marketing success.
We have marketed for 60+ B2B tech companies, augmentation and outstaffing providers among them, and reached an 80% AI Search recommendation success rate for selected commercial prompts. We already know which buyer prompts convert for a people-quality, seat-filling sale — staffing comparison prompts, role-and-stack-specific hire prompts, vetting and trust prompts — and which pull the wrong audience. You don't spend a quarter explaining what a bench, a land-and-expand motion, or a co-employment review means.
We start by mapping the commercial augmentation prompts your buyers actually run and auditing where your firm is already cited — or never cited — across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews. That baseline exposes the gaps that cost you shortlist positions before we touch a single piece of content.
We decide where the AI's impression of you comes from — your authority content on vetting and leveling, third-party comparisons and listicles, structured entity signals — and we make sure the framing models absorb is about people-quality, speed-to-candidate, and embed-safety. Not just 'they exist.' Getting cited as 'an augmentation firm with a large bench' is worse than not being cited if buyers associate bench size with slowness and genericness.
Your real competition is not another augmentation firm. It is the hiring manager's internal recruiter and a Toptal tab. When they prompt an AI to compare options, we make sure your firm comes up with the argument that wins the recruiter-and-marketplace comparison — not just a generic mention alongside every other staffing site.
We track AI-assistant-influenced demand into your CRM so the work is judged on recommendation visibility, qualified conversations with buyers who have a seat open, and placements — not a screenshot proving you appear in ChatGPT. In augmentation, the real test is whether AI-sourced leads turn into signed placements and seat expansion.
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.
Yes — and it is already happening. Engineering managers, VP Engs, and talent leads now open staffing decisions inside ChatGPT, Perplexity, Claude, and Google's AI answers: 'best staff augmentation companies for React,' 'staff aug vs. Toptal for a senior backend hire,' 'nearshore augmentation for a US engineering team.' The model returns a shortlist and context, and the buyer's mental shortlist forms right there, before any provider site loads. If your firm is not in that answer — or is in it without the right vetting and people-quality framing — you are invisible at the exact moment of vendor consideration. Across selected commercial prompts we have reached an 80% recommendation success rate for clients by improving the evidence and third-party sources AI models draw on.
SEO targets ranked pages on Google; AI Search Optimization targets being cited in a generated answer in ChatGPT, Perplexity, Claude, Gemini, or AI Overviews. They share some underlying content but need different work: entity signals, citable evidence about vetting and people-quality, and presence in the specific third-party sources AI models trust when answering augmentation-vendor questions. Ranking #1 for 'staff augmentation services' does not guarantee you appear in the AI shortlist a hiring manager builds using an assistant.
Commercial, high-intent prompts a hiring manager or talent lead runs mid-staffing-decision: 'best staff augmentation companies for [stack],' 'staff aug vs. Toptal vs. hiring an FTE,' 'nearshore augmentation for a US fintech team,' 'how to vet an augmented engineer fast,' 'staff augmentation partner with strong Python talent.' Not informational how-to queries that pull students and candidates. We also target the comparison prompts that pit you against in-house recruiters and self-serve marketplaces — the real decision the buyer is making.
The framing the AI gives your firm is as important as whether it cites you at all. If a model cites you generically as 'a large bench provider' without specifics, that framing confirms the buyer's worst assumptions. We build the authority content and citations that give models the right evidence: your vetting process made concrete, honest leveling, time-to-first-qualified-candidate, replacement speed and guarantee. The goal is that when ChatGPT or Perplexity recommends your firm, it does so with the context that differentiates a quality partner from a bench-size boast — dissolving buyer suspicion before any conversation starts.
We track recommendation visibility per prompt and per competitor across AI assistants — including the comparison prompts that pit you against recruiters and marketplaces. We tie AI-influenced conversations to pipeline in your CRM, tracking through to qualified meetings with buyers who have a named seat open, first placements, and seat expansion. In augmentation, a screenshot of appearing in ChatGPT is not a result; a booked conversation with a hiring manager who already knows your vetting process is.
Some prompts shift within weeks as citable evidence improves and citation placements land in the sources models trust. Broader competitive prompts — 'best staff augmentation companies for fintech,' for example — compound over a few months as your firm's entity authority builds across AI knowledge surfaces. The trust and vetting content that dissolves buyer suspicion tends to compound the fastest, because it fills a genuine evidence gap the models currently lack for most augmentation firms.
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.
