When a VP of Sales Operations prompts ChatGPT 'best Salesforce implementation partners for a healthcare company' or a RevOps leader asks Perplexity 'top consultancies for a Salesforce Data Cloud rollout,' the model returns a shortlist and the buyer moves from there. Your AppExchange tier badge, your certification count, and your directory ranking do not determine who lands on that list — your entity authority, your citable evidence, and the sources those models trust do. We get Salesforce consultancies recommended on those prompts, measured against real recommendation visibility and CRM-tracked pipeline, across 60+ B2B tech companies and $30M+ in marketing-led revenue.
We identify the high-intent Salesforce implementation buyer prompts and audit your current citation footprint across the major assistants. We map which cloud (Sales Cloud, Service Cloud, Data Cloud, Agentforce), which industry (financial services, healthcare, logistics, manufacturing), and which implementation risk (migration, recovery, adoption, org cleanup) prompts produce recommendation slots — and where your competitors currently occupy them.
We benchmark your AI visibility and evidence base against what has made comparable Salesforce implementation firms citable, drawing on the Salesforce ecosystem engagements in our 60+ B2B tech company portfolio. We know which types of proof assets the models cite for consultancy questions in this category, what tier-badge and certification copy does and does not influence, and what velocity to expect for cloud- and vertical-specific prompts versus broader ecosystem queries.
We prioritize the prompts, citation sources, and entity signals with the most commercial upside for your specific Salesforce practice — by cloud, by industry, by implementation risk, and by the stage of deal your prompts attract. A Data Cloud and Agentforce practice requires different AI-visible evidence than a classic Sales Cloud migration practice, and we sequence the work accordingly.
We produce the authority content, third-party citation placements, entity signals, and on-site structured data as one connected AI-visibility system — designed so the evidence base that improves AI recommendations also reinforces your SEO, your AppExchange review profile, and the proof layer Salesforce buyers check before the first call.
We track prompt visibility and AI-sourced pipeline monthly and double down on the prompts, sources, and entity signals that produce real Salesforce implementation conversations. We listen to your sales team's deal notes about which AI-sourced prospects asked the right questions and which needed re-qualifying, and we adjust citation targeting so the work compounds toward the highest-value recommendations.
We have run marketing for Salesforce consultancies — most notably Synebo, where SEO and AI Search produced 500% more SQLs and 2.73x organic traffic, and Split Development, where paid funnels booked 66 leads at a $38 CPL and 3 closed deals — and we have done it across 60+ B2B tech companies with $30M+ in CRM-tracked marketing-led revenue. That means we already know which buyer prompts precede a real Salesforce implementation project, which sources models lean on for consultancy recommendations in this ecosystem, and why listing certifications and partner tier in your AI-visible evidence base makes you indistinguishable from the 2,000 other Summit and Crest partners the model also knows about. We start from pattern recognition, not discovery.
We begin by running the commercial Salesforce buyer prompts across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews and mapping where you are — and are not — already cited. Most Salesforce consultancies discover they appear in zero or one assistant for the cloud- and industry-specific implementation prompts that produce real deals, while a competitor with weaker actual delivery but better entity authority appears in three or four. That gap is the work, and we size and prioritize it against qualified pipeline value before we write a single piece of content.
The sources AI assistants trust for Salesforce implementation vendor questions are not your own website, your AppExchange listing, or your Salesforce partner-program page — they are editorial comparisons, industry-specific listicles, reviews on third-party platforms models trust, and structured entity signals that anchor you to a specific cloud, vertical, or implementation risk. We build for the actual citation graph, not the directory presence your firm already over-invested in. The certification rows and tier badges stay in your AppExchange profile where they belong; the AI-visible layer is built around citable, outcome-led evidence a model can quote.
A Salesforce implementation deal touches a RevOps or sales-ops sponsor, an IT or platform owner, and a VP or CFO — and the buyer prompt that starts it can read very differently from what the deal is actually about. Your sales team tells us which AI-sourced conversations were real implementation opportunities (not admins or job seekers), which cloud and industry prompts attracted the buying group that actually signs, and which competitor names appeared alongside yours in the answers buyers showed on the first call. That feedback steers prompt targeting, entity signals, and citation sourcing toward the recommendations that produce revenue, not just visibility.
We track AI-assistant-influenced demand into your CRM — for a Salesforce consultancy, the instrument of record and the product you sell — and separate AI-sourced conversations from AppExchange directory leads and Salesforce AE referrals. You see which cloud- and vertical-specific prompts produced qualified meetings, what those meetings are worth in pipeline, and how AI-sourced deals move through procurement and the MSA negotiation where Salesforce projects stall. The work is judged on recommendation visibility and pipeline tracked through a cycle that can run six to nine months — not a screenshot of your firm appearing in one ChatGPT answer.
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.
You cannot dictate a model's answer, but you can strongly influence it by improving the evidence and third-party sources it draws on. The models that produce Salesforce implementation recommendations pull from editorial comparisons, outcome-led proof, third-party review platforms, and structured entity signals — not primarily from your AppExchange listing or your Salesforce partner-program page. Across selected commercial prompts, including B2B tech implementation firms, we have reached an 80% recommendation success rate by building the citable evidence base and citation presence that moves AI recommendations. The Salesforce category is particularly winnable because most consultancies have over-invested in the platform channel and have almost no AI-visible entity authority outside it.
SEO targets ranked pages on Google; AI Search Optimization targets being cited inside a generated answer by ChatGPT, Claude, Perplexity, Gemini, and AI Overviews. They overlap — strong implementation-decision content ranks on Google and gets cited by AI assistants — but they require different additional work: entity signals that make your Salesforce specializations machine-legible, presence in the third-party sources models trust for vendor questions, and structured evidence the model can quote rather than index. For a Salesforce consultancy specifically, AI Search Optimization is also a different competitive landscape: the AppExchange directory and Salesforce's own properties dominate the Google SERP for category terms but have limited pull in the AI-generated shortlists where buyers are now forming their first vendor impressions.
ChatGPT, Claude, Perplexity, Gemini, and Google's AI Overviews — the assistants Salesforce buyers use to research implementation partners before and alongside the AppExchange directory. We track your recommendation visibility across all five, because each draws differently on its sources for consultancy questions, and appearing in multiple assistants compounds your authority signal.
Commercial, high-intent buyer prompts — not informational queries. Examples: 'best Salesforce implementation partners for healthcare,' 'top Salesforce Data Cloud rollout consultancies for mid-market,' 'Salesforce Sales Cloud migration partner with CPQ experience,' 'which Salesforce consultancies have the best track record for nonprofit CRM migrations,' 'Salesforce partner for a failed implementation rescue.' We do not target admin study, certification, or career queries that pull job seekers and not buyers. We identify the specific prompt clusters that produce the RevOps sponsor, the IT platform owner, and the economic buyer — the buying group that actually signs a statement of work.
Because a growing share of buyers now form their implementation shortlist by prompting ChatGPT or Perplexity before they open AppExchange or call their Salesforce AE — and the model's answer often replaces the directory step entirely. If your firm is on the AI-generated list, you arrive at the first call with third-party credibility a tier badge cannot manufacture. If you are not on it, you are invisible at the new top of the funnel no matter your partner standing. Critically, AI recommendation visibility does not depend on Salesforce's partner routing or the AppExchange algorithm — it is demand you own, running parallel to the platform channel rather than competing with it.
We track recommendation visibility per Salesforce buyer prompt and per competitor across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews — so you can see whether your firm is gaining or losing recommendation share on the cloud-, vertical-, and implementation-risk-specific queries that matter. We also instrument the pipeline impact: AI-assistant-influenced conversations tracked into your Salesforce CRM, separated from AppExchange and partner-channel leads, and reported through qualified meetings, SQLs, and closed-won across the full six-to-nine-month implementation sales cycle. The goal is recommendation visibility and CRM-tracked pipeline — not a screenshot of appearing in one answer once.
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.
