dialGTM is the technical GTM partner for B2B CMOs and CEOs who need AI search, content, and CRM systems to translate a shifting buyer journey into pipeline that holds up at the board level. Not another strategy voice. The engineering layer underneath it.
No strategy decks. No autonomous AI spam. No vanity dashboards. We ship the systems your team can run, your CRM can measure, and your CEO can read.
Built with B2B teams at Flyntlok · AllBooked · Warp · AGI Inc. · Revamp · Skedda · Searcle · and others
GTM Engineering map
From CMO strategy to measurable pipeline systems.
The CMO's real problem
Most CMOs and CEOs we work with already have the strategy: ICP, positioning, pipeline target, board narrative. What's missing is the technical layer between strategy and execution - the systems that turn AI search, content, CRM signals, and outbound into pipeline you can report on.
Buyers research through ChatGPT, Perplexity, Gemini, Google AI Overviews, Reddit, YouTube, and comparison content before they ever hit your site. Your SEO dashboard shows traffic. It does not show whether you exist in the answer.
Your team has tested prompts, bought tools, and run experiments. None of it has become a measured, repeatable workflow tied to pipeline.
You can report impressions, traffic, MQLs, and content volume. Connecting any of it to qualified pipeline dollars in CRM is where the conversation breaks down.
Strategy is not the gap. The gap is whoever is going to build, instrument, and operate the systems that make the strategy real.
Category
Think of dialGTM as the product leader for your GTM systems.
Your CMO owns strategy: ICP, segments, positioning, pipeline targets, and board narrative. Your team owns execution: campaigns, content, outbound, demos. GTM Engineering connects them through AI-search tracking, prompt libraries, content workflows, CRM attribution, signal routing, and review loops.
ICP · segments · pipeline target · messaging · offers
AI search · CRM · attribution · content ops · automation · QA
Prompt tracking · content refresh · lead routing · signal capture · nurture
SQLs · opportunities · pipeline $ · win rate · pipeline coverage
We are not your strategy partner. We are the technical counterpart who turns strategy into systems.
Method
Diagnose, instrument, activate, and loop so each shipped workflow ends in a pipeline outcome, not another dashboard no one trusts.
We audit AI-search visibility, content footprint, CRM hygiene, attribution gaps, and the pipeline conversion funnel.
The output is not a strategy deck. It is a prioritized backlog of the GTM workflows most likely to move pipeline first.
We connect GA4, Search Console, CRM, marketing automation, AI-search visibility tools, and self-reported attribution.
The team can see which sources, prompts, pages, and content actually influence qualified opportunities.
We ship one workflow that moves pipeline: content refresh, prompt-to-page publishing, demo-intent routing, comparison pages, signal routing, or weekly pipeline insight.
One workflow, fully built and instrumented, beats five half-built ones every time.
Each review shows what created pipeline, what stalled, and which workflow gets built or retired next.
The system improves on a cadence your team can run without us.
Use cases
The board sees the traffic drop. They do not see the buyer journey behind it.
A defensible view of where your brand shows up in AI search, which prompts buyers use, and the qualified pipeline recovered from AI-influenced journeys.
Your team is publishing more and converting less. Generic AI output does not move pipeline.
A content engine that publishes and refreshes the right pages at the right cadence, with brand voice intact and pipeline attribution baked in.
Your CRM is already telling you who is ready. Sales is hearing about it after the window closes.
A routing layer that turns buyer signals into rep action, with a clean audit trail of which signals produced opportunities.
You do not have a marketing problem. You have a marketing-impact-defense problem.
A single view your CEO opens before leadership meetings: sourced and influenced pipeline, attribution, and coverage at a glance.
Selected work
Selected companies, CMOs, GTM leaders, and teams I've worked with or around. Specific scope and outcomes available live on a call.
Contributed to the build and GTM of Searcle, an AI-native SEO/GEO system that researches buyer demand, generates on-brand articles, publishes them to client websites, and connects organic and AI-search visibility to qualified traffic. Publicly used by 50+ B2B companies.
Worked with marketing leaders and GTM teams at Flyntlok, AllBooked / Skedda, Warp, AGI Inc., Revamp, and others. Scope ranges from positioning and dealer-voice content systems to AI-search visibility and CRM workflow design.
Helped a UGC-driven app build a creator pipeline that produced roughly 1B monthly views from about 200 UGC creators, including the LinkedIn viral content playbook adjacent to the Boardy / personal-brand growth model.
Built HRAIZON, a 7,000-member HR community, from cold start to active distribution channel. Worked with beehiiv on newsletter growth and monetization workflows.
Designed and operated AI-assisted outbound workflows on Smartlead.ai, including ICP segmentation, sequence design, reply handling, and CRM handoff without the autonomous-spam approach.
The pattern across all of it: data to AI implementation to measurable GTM motion.
Scoreboard
Every engagement is measured on the chain from visibility to opportunity dollars. Vanity metrics support the story; they are not the story.
Offers
Pipeline gap
Tension: Most marketing teams do not have a traffic problem or a content problem. They have a system problem: the AI-search, attribution, and workflow gaps that quietly cost pipeline every quarter.
You walk away with: A clear, prioritized answer to the highest-leverage GTM system to build first, defensible to your board, your CEO, and your own team.
Custom pricing
Pricing depends on number of workflows, stack complexity, CRM integration depth, stakeholder review needs, and support level.
Ship the workflow
Tension: For teams that know which workflow is blocking pipeline and do not need another audit to confirm it.
You walk away with: One workflow live in production, tied to a pipeline metric, with your team trained to operate it without us.
Custom pricing
Pricing depends on workflow complexity, CRM integration depth, data sources, review requirements, and support level.
Full operating system
Tension: For CMOs who do not need a single workflow. They need an integrated GTM operating system that connects visibility, content, attribution, handoffs, and review loops.
You walk away with: A GTM operating system your team can run without you defending every activity metric, plus a board narrative built on pipeline.
Custom pricing
Pricing depends on operating scope, systems involved, reporting model, workflow count, and handoff requirements.
Embedded capacity
Tension: After the system is built, someone still has to operate it, tune it, and ship the next workflow.
You walk away with: A senior technical GTM operator working alongside your team, owning shipped systems and building the next ones without adding a full-time engineering hire.
Custom pricing
Pricing depends on workflow ownership, operating cadence, systems involved, and support level.
Your technical GTM Engineering layer for AI search, content workflows, CRM attribution, and pipeline reporting.
You own the client strategy. We build the technical systems behind it.
Operator
I'm Jack. I help B2B CMOs and CEOs turn AI search, content systems, CRM attribution, and GTM automation into the pipeline number they're being measured on.
My background sits at the intersection of data and coding, AI implementation, and B2B marketing operations. That is why the work looks more like engineering than consulting - and why it ends with shipped systems, not slide decks.
The model is simple: you own ICP, positioning, and revenue targets. I own the technical layer that makes them measurable and operable.
"I don't sell AI roadmaps. I ship the GTM systems your team can actually measure."
Operator model
dialGTM is intentionally small: strategy stays close to the build, and the build stays tied to the pipeline metric your marketing leader has to defend.
Best-fit teams
Need a technical execution partner, not another strategy voice.
Need the marketing system shipped while marketing is still part of the CEO's job.
Need the data and workflow layer that makes AI useful instead of noisy.
Need the system shipped so it survives the next GTM hire.
Need disconnected experiments turned into controlled systems sales and marketing can trust.
FAQ
Short answers on scope, measurement, data quality, and where dialGTM fits.
On the diagnostic call, we'll identify the highest-leverage GTM workflow to build first - and whether dialGTM is the right partner to build it.
No AI theater. No strategy deck. Just a practical conversation about turning marketing activity into pipeline.