Before a CIO, CFO, or VP of Technology shortlists a consulting firm for a major transformation, modernization, or advisory engagement, they ask ChatGPT, Claude, Perplexity, or Google's AI Overviews who to call. The model returns three to five names, and if yours is not among them you are invisible at the moment the buying decision begins. We get your IT consulting firm into those AI-generated answers for the high-intent advisory and transformation prompts your buyers actually run — positioned as the specialist who earns trust before the pitch, not another brand-name also-ran — and we tie every recommendation back to booked meetings and CRM-tracked pipeline. Across our work we hit an 80% recommendation success rate on targeted commercial prompts.
We define and prioritize the advisory, sector-specific, and transformation prompts that decide engagements in your practice, then baseline where you stand on each across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews. Because framing is a disqualifier here, we do not just check whether you are named — we check whether you are surfaced as a strategic advisor or mis-labeled as staff augmentation, whether the model skips independent boutiques and defaults to a global SI or the software vendor, and whether your sector and transformation specialization is reflected accurately or lost in abstraction. You get an honest map of which advisory conversations you win, which you lose to brand gravity, and where mis-framing is costing you deals.
We line your visibility up against the citation and recommendation patterns we have seen across 60+ B2B tech companies, consulting and advisory firms included. That tells us fast whether the gap is missing sector-specific outcome-led case proof, a thin editorial authority footprint on the decision-stage topics buyers search, weak entity data that lets the model abstract your practice into a generic bucket, or an absent "why us rather than the Big Four" story a model needs to defend recommending an independent firm. We diagnose the cause specific to this brand-gravity-dominated, judgment-gated category instead of applying generic GEO tactics.
We pick the smallest set of moves that will actually change answers for your prompts: earning placement on the analyst and review surfaces models cite for IT advisory firms, correcting entity and framing data so you are tied to your real sector and transformation type rather than the generic bucket, publishing the decision-stage and "boutique vs global SI" content that becomes a citable source, or seeding the named-principal authority content that makes your judgment legible before the first call. No fluff retainer — only the levers that shift recommendations toward booked, advisory-led engagements rather than researcher noise.
We execute the chosen path as a repeatable program: editorial and review-signal work on the surfaces models trust for IT consulting, entity and schema cleanup that ties your firm to your actual sector and transformation type, verifiable judgment and advisory-depth proof seeding, outcome-led case studies reworked as citable proof organized by sector and engagement type, and answer-shaping advisory and selection-stage content — sequenced so each piece reinforces the others. In a market where brand gravity is the default and one generic framing confirms the staff-augmentation suspicion, AI Search becomes a compounding, defensible asset rather than a one-off experiment.
Every cycle we re-measure the prompt set, re-check for new brand-gravity defaults, generic framing, or staff-augmentation mis-labels, attribute AI-sourced leads through your long sales cycle in the CRM, and pull your sales team's read on which calls were real advisory or strategy conversations versus researchers and job seekers. Prompts that produce qualified pipeline that clears the committee and the procurement function get more investment; the ones that pull informational traffic get cut. The system tunes toward tracked SQLs and won engagements, month over month.
We have marketed for 60+ B2B tech companies over nine years — IT consulting and advisory firms among them — so we already know the commercial prompts that precede an advisory engagement and how they fork by sector, transformation type, and buyer role. "IT consulting" attracts students, junior researchers, and competitors; "best technology consulting firms for a financial-services modernization" or "who should we hire to advise on a build vs buy decision for [capability]" attracts a CIO or VP with a funded, board-approved initiative and a 90-day decision horizon. We start from the prompt set we have watched convert to signed engagements in this category — not a discovery exercise that learns what consulting buyers want on your budget.
Most IT consulting firms cannot say whether a model names them at all, names the Big Four instead, mis-frames them as staff augmentation, strips their vertical or transformation specialization, or describes their practice so generically that nothing distinguishes them. We baseline your presence across the advisory and transformation prompts that matter in your practice on day one across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews: who is named, who is cited, where you are flattened into a generic bucket, and where the model's framing contradicts how you actually position and sell. Within weeks you know exactly which transformation conversations you are absent from and why — rather than running blind for quarters.
For an IT consulting firm, the lever that moves an AI answer is rarely your own website copy alone — it is the signal a model already trusts: sector-specific outcome-led case studies it can parse, your presence on the analyst and review surfaces it cites for advisory firms, your editorial authority on the transformation and decision-stage topics buyers search, and clean entity data that ties your firm to a specific sector, advisory depth, and transformation type. We fund only the moves that shift recommendations toward a specialist advisory framing — not a generic content checklist that ignores how this judgment-gated, referral-driven market actually gets cited.
An AI recommendation is worthless if it sends researchers, job seekers, or prospects with no real initiative. We sit close to your sales team, review which AI-sourced leads booked real advisory scoping or strategy calls versus informational inquiries, and learn which prompts and framings produce qualified conversations — the buyers with a funded, live transformation and a decision-maker on the call. That feedback retargets the prompt set monthly toward the sectors and transformation types your team actually closes, so the program optimizes for engagements that clear procurement and the committee rather than raw mention counts.
We treat AI Search as a measurable channel for a long, trust-led advisory deal. Beyond a visibility report, we instrument how an AI-discovered prospect enters your CRM and tie prompt-set movement to booked meetings, SQLs, and won engagements — with the analyst-check, reference-check, and procurement stages tracked as their own statuses, because that is where IT consulting contracts quietly stall for quarters. You see the line from "now recommended as a specialist for [sector] transformation" to "signed engagement that cleared the buying committee" — the same CRM discipline behind the $30M+ in marketing-led revenue we have tracked for clients.
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.
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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.
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“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.
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“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.
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“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.
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“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%.
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“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.
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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.
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“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.
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“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.
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Meta appointment funnels at scale — 466 leads and over 100 booked sales conversations from a single paid channel.
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“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.
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“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.
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“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.
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“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.
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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.
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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.
Increasingly they do both — but an AI assistant is faster and more specific than waiting for an analyst briefing, and it surfaces firms a buyer's personal network has never mentioned. The buyers who reach for an assistant are typically in the early pre-qualification stage: they have a funded initiative, a 90-day decision horizon, and they want a first cut before they spend political capital asking the board or a peer for a recommendation. The shortlist the assistant generates sets the frame for everything that follows. If your firm is not in it, you are absent from a conversation that decides whether you get called — and you will never know it happened.
It is one of the few surfaces where it can — which is why it matters now. A model does not weight brand budget or logo recognition the way a cautious CIO does when a board is watching; it weights specific, credible evidence. Named, outcome-led case proof in a sector, editorial authority on the decision-stage topics buyers search, clean entity data that ties your firm to a transformation type and advisory depth the global SIs cannot credibly claim for a mid-market or vertical-specific engagement, and a defensible point of view the model can cite — that is how an independent boutique appears on the same shortlist as Deloitte for a specific problem. The analyst gatekeeping and word-of-mouth that traditionally reproduced the global brand advantage do not control this surface. That is the opening.
That is the most damaging failure mode in this category and the one most firms do not know is happening. When a model has thin, contradictory, or generic evidence — "IT consulting, end-to-end, trusted advisor" — it fills the gap with the cheapest interpretation of what consulting means, and the buyer who needed a strategic advisor screens you out before the first call. Our baseline audit explicitly checks for this mis-framing, then fixes the upstream causes: entity and schema data that distinguishes advisory and judgment from delivery and capacity, outcome-led case studies that lead with the decision you got right and the risk you removed rather than the methodology slide, and named-principal content that makes your seniority and thinking visible before a buyer commits a dollar. The goal is a recommendation that reads as real consulting, because that is what converts.
Commercial, high-intent advisory prompts — the queries a funded buyer with an active initiative runs, not informational how-to searches. Examples: "best IT consulting firms for [sector] modernization," "top boutique technology consultancies," "who should we hire to advise on a cloud migration strategy," "how to choose between a boutique and a global SI for [transformation type]," "what to expect from a technology assessment," and "build vs buy vs advise for [capability]." We prioritize by deal value and your actual specialization, then track them against real pipeline rather than raw mention counts.
We baseline your presence across a defined prompt set — who is named, how you are framed, which prompts are owned by global brands — then track movement over time. The part most programs skip: we instrument how AI-discovered prospects enter your CRM and follow them through the stages IT consulting deals actually stall in — first touch, strategy or scoping call, SQL, analyst-check, reference-check, procurement — through to a signed engagement. You see the line from "now recommended for [sector] transformation advisory" to "engagement that cleared the buying committee," not a vanity citation dashboard.
Because referral and reputation growth is real but bounded — it does not reach the buyers who have no one in their network to ask, does not surface when a buyer's AI assistant generates a shortlist at 11 PM before a board presentation, and cannot be forecasted as a pipeline channel. AI Search is not a replacement for the judgment and outcomes that earn referrals; it is the mechanism that makes that same reputation legible to buyers who have never met you. For an IT consulting firm, being on the AI-generated shortlist for your specific advisory and sector prompts is the closest thing to being on the analyst radar without the analyst relationship — and WeSoftYou's path from effectively zero inbound to $1.8M of tracked marketing-led pipeline shows how a firm with a genuine track record can build that visibility deliberately rather than waiting for word-of-mouth to travel far enough.
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.
