We build your go-to-market engine. Claude in the middle. Your team at the wheel.
Most consultants hand you a plan. We hand you the go-to-market engine of the future, fully built and running inside your team in 12 weeks.
Research, positioning, website, AI search, CRM, agents and demand gen. On your tools. Run by your people.
Built for one number: $1M in revenue per head.
Step 1 of 7
A target account visits your pricing page
- A target account visits your pricing page
- Claude researches the account in Clay
- It checks your knowledge base in Google Drive for the right proof
- It drafts the email in your voice
- The draft lands in Slack for approval
- Your rep approves it and it goes out from their own inbox
- HubSpot logs the signal, the play and the result
- Building now: Novuzas Fractional Chief Revenue Officer
- 100+ companiesaudited for AI search by VISIBLD
- Agent systems builtfor fund, medical and hospitality operations
- Former Senior Director AnalystGartner, High-Tech CEO practice
Most go-to-market is a pile of tools.
Nothing talks to anything, so your best people spend the day copying and pasting between tabs.
- 01.A CRM here.
- 02.A data tool there.
- 03.A website nobody updates.
- 04.A social calendar in a spreadsheet.
One engine. Claude in the middle. Your stack around it.
The roles are the same in every engine. The tools aren't. Google Workspace or Microsoft 365. HubSpot, Salesforce or Dynamics 365. Slack or Teams. If it connects to Claude, we build on it. If it doesn't, we tell you before the build starts.
Your CRM keeps the record
HubSpot, Salesforce or Dynamics 365. If it isn't logged in the CRM, it didn't happen.
Your workspace holds the knowledge
Google Drive or SharePoint. The knowledge base lives in your account, not ours.
People approve in your team chat
Slack or Teams. Agents draft. Nothing reaches a buyer until a person says yes.
What Claude knows
Knowledge base
Google Drive · SharePoint and OneDrive · Notion
System of record
CRM
HubSpot · Salesforce · Microsoft Dynamics 365
Who to target and why
Research and enrichment
Clay · ZoomInfo · Apollo
Email and meetings
Email and calendar
Gmail and Google Calendar · Outlook and Microsoft 365
Where people approve
Team chat
Slack · Microsoft Teams
Posts, approved first
Social publishing
Buffer · Hootsuite · Sprout Social
Your site and tools
Website
Base44 · Webflow · WordPress
Engines, agents and AI search. Built for real.
Novuz
Fractional Chief Revenue Officer
Novuz converts legacy data warehouse logic deterministically, with a reconciliation report proving every object matches. We're building its whole go-to-market engine from scratch.
Results get published once they're real and Novuz has approved them.
What we're building
- Positioning, pricing and the year-one go-to-market plan
- A new website with a scorecard and assessment funnel
- An AI search program with VISIBLD and Citabld
- HubSpot, demand gen and the partner motion with Databricks and systems integrators
- A command center for the founders, and Claude agents running signal to action
23 years
of exams the system was designed around
Workers' compensation medicine
The Designated Doctor Agentic System
A Texas designated doctor practice
A designated doctor with 23 years in Texas workers' comp wanted his exam and report workflow off consumer AI tools and onto a system he owns. We built that system around his practice, and built his revenue engine in parallel with it.
Read the build8 agents
across four back-office jobs
Fund operations
An eight-agent back office
A private investment firm
Eight agents cover the firm's back office: capital calls, premium management, investor communications and tax deliverables. They work from a custom live operating ledger, and QuickBooks Desktop stays the book of record.
Read the build54 → 68
VISIBLD score in 17 days
Music software
Musio: AI search score from 54 to 68 in 17 days
Musio by Cinesamples
Musio's co-founder thought its AI visibility was covered. The first VISIBLD audit scored it 54 out of 100. Seventeen days later, after working through the findings, it scored 68.
Read the buildFive phases. Five gates. Then it's yours.
Each phase ends at a gate with a test you can see. If the test fails, the phase keeps going. When it passes, we move on and you know exactly what you got.
Diagnose
Interviews with your team and customers, won and lost deal analysis, a stack audit and an AI search baseline.
Prescribe
Positioning, the knowledge base Claude reads, the architecture, and the first plays designed on paper.
Deploy
Every tool connected to Claude, the plays built and tested, the website rebuilt, and the demand engine set up.
Instrument
Dashboard and weekly report, rep training, a shadow week, then a live week, then widening to more plays.
Transfer
Handover pack, owner training, and access moved fully to your team.
a gate never passes with open items.
Six workstreams. Built, tested, handed over.
Every workstream ends with something you can use and your team can run. Each card lists the finished pieces of work inside it.
Research and positioning
The evidence base: who buys, why they buy, what makes you different, and the message that follows from it.
What's insideKnowledge base and agents
The knowledge base Claude reads before every task, plus the skills and scheduled work built on top of it.
What's insideWebsite and AI search
A website that says who it's for, what it does and why it wins, built to be found and cited by AI assistants.
What's insideFunnel and CRM
Your CRM turned into a real system of record: lead states, scoring, routing, workflows and reporting that run without handoffs.
What's insideDemand gen and content
The always-on demand motion: target accounts, buying signals, sequences, campaigns and the sales assets behind them.
What's insideOperating rhythm and handover
The operating cadence and handover that make the engine run without us, owned by someone on your team.
What's insideA small team that sells like a big one.
Revenue per head is the number that shows whether AI is actually working in your go-to-market. The engine is built to push it toward $1M: a few people, each backed by agents, doing the work of a much bigger team.
$1M per head is the target the engine is built for, not a guarantee.
Enter your revenue and headcount to see your number.
Not a report. The work.
One senior consultant works inside your team, makes the calls, builds the engine with you and stays until your people run it.
How this works| Who | What you get | Do they stay? | Do they build it? |
|---|---|---|---|
| Research firm | The pattern | No | No |
| Management consultancy | The plan | Rarely | Sometimes, with a large team |
| Agency | Campaigns | While you pay | Campaigns, not the engine |
| Forward Deployed Consultant | The working engine | Until your team runs it | Yes, inside your team |
From the sales floor to the engine room.
2010
A gym franchise first
Before software, there was Fit4Purpose, a gym franchise Jordan founded in 2010. Then Peloton. Selling, hiring and running the numbers, first-hand.
2018
Maxworthy Consulting opens
Maxworthy Consulting LLC starts as a martech and go-to-market consulting practice. The work runs from B2B tech to education, including Mathnasium and the Los Angeles Unified School District.
2026
The research seat
Senior Director Analyst in Gartner's High-Tech CEO practice, taking 25+ client inquiries a week on AI go-to-market. It showed how decisions get made at the top, and how rarely good advice gets built. That gap is what Maxworthy closes.
Oct 2026
The engine, built for real
Jordan joins Novuz as Fractional Chief Revenue Officer to build its go-to-market engine from zero. Research, positioning, the website, AI search, the CRM, demand gen and Claude agents, all built inside the team.
Parts we built because every engine needed them
The AI search layer: measures and fixes how AI assistants describe you
visibld.aiThe content layer: writes what AI assistants cite
citabld.comCustom agents, when a client needs more than the standard plays
maxworthyagents.comThe method behind the engine: what gets done, when, and on which data
Read before you build
What people ask first
What is a GTM engine?+
A go-to-market system with Claude in the middle. It reads a knowledge base about your business, connects to your CRM, research, email, website, AI search, social and approval tools, and turns buying signals into researched, drafted actions that people approve.
How long does a build take?+
Twelve weeks for a typical build, across five phases with a gate at the end of each. A small, clean company can be done in eight; a messy CRM or a partner programme can stretch it to sixteen.
How is it priced?+
A fixed fee, set per engagement and billed as each gate is passed. Never a day rate. Most clients start with the two-week diagnostic, which is credited against the build.
Which tools do we need?+
Claude on a team plan, plus the tools you already run, as long as they connect to Claude. That usually means Google Workspace or Microsoft 365, a CRM such as HubSpot, Salesforce or Dynamics 365, Slack or Teams, a research tool such as Clay or ZoomInfo, your website and a social tool. We keep what connects and tell you what to cut.
Do we have to switch to HubSpot or Google?+
No. The engine is built on your stack, whether that's Google or Microsoft, HubSpot, Salesforce or Dynamics 365. In the diagnostic we test that each tool connects to Claude well enough for its job. If you have no CRM, choosing and setting one up is part of the build.
What happens after 12 weeks?+
Your engine owner runs it, using the weekly review, the dashboard and the playbook we hand over. You can keep us on as fractional CRO or engine operator, but you don't have to.
Talk to the person who builds it
No account team and no hand-off to a junior analyst. A 30-minute review with the consultant who builds your engine. Not ready yet? Get your score first.