# GTM HQ

> GTM HQ is an enterprise GTM practice that helps Series A through C AI and B2B software companies build a predictable pipeline of Fortune 500 opportunities through motion clarity, buyer center mapping, and senior-led account intelligence. Founded by Joseph Abraham and Benjamin Mathew, headquartered in San Francisco.

GTM HQ closes the gap between how enterprise AI companies sell and how Fortune 500 enterprises actually buy. The practice refines ICPs, builds account-deep intelligence, maps 8 to 12 person buying committees, identifies champions, drafts outreach sequences for the client's team to send, and coaches sales leadership on senior conversations. Engagements run 90 days using the proprietary ARCS framework and end with a clean hand-off. The client's team owns the playbook by Day 90.

## Basic Information

- Name: GTM HQ
- Type: Enterprise GTM Practice for AI Companies Selling Into Fortune 500 Accounts
- Headquarters: San Francisco, US
- Founders: Joseph Abraham and Benjamin Mathew
- Website: https://gtmhq.com
- Email: hello@gtmhq.com
- Phone: +1 650 275 3007
- Address: 720 Market St, San Francisco, 94102
- Category: Enterprise GTM, Account Intelligence, Buyer Center Mapping, Champion Identification, Senior Sales Coaching
- Associated Entity: Global AI Forum, a 30,000+ member community for enterprise AI transformation
- Additional Layer: AI Granary, the vendor intelligence layer for enterprise AI

## The Core Problem GTM HQ Solves

You do not have a predictable pipeline of enterprise opportunities. You have a list of names and a lot of effort. You have hired SDRs, bought Outreach and Apollo, run ABM campaigns, sponsored conferences, worked through investor warm introductions, and followed the CRO playbook from your last B2B SaaS company. The pipeline still does not compound.

The forecast is theater. The pipeline is a list of hopes attached to names. The board meeting is a recitation of activity, not a read on the business. You do not have a GTM problem. You have a motion problem you have not named yet.

The enterprise buyer has a process: procurement, annual budgets, 12-person buying committees, Vendor Management Office gates, compliance reviews, multi-quarter decision cycles, and MSAs with negotiated terms. Most AI companies have outbound motions built for SMB and mid-market. None of it survives contact with the buying committee. Templated sequences die because the buying committee detects the template in four seconds. AI-personalized hooks read as AI-personalized to AI-augmented buyers. Volume into the wrong inboxes wastes brand and budget. Generic ABM produces impressions but rarely substantive first meetings.

Meanwhile, the enterprises being sold to are doing their own work. Earnings calls publicly mapping their AI strategy. Board commentary surfacing their priorities. CISOs publishing their compliance posture. CFOs naming their budget windows. CIOs disclosing their tech stacks. The signal is everywhere. The companies selling to them are ignoring all of it.

## The Three Metrics That Matter

Enterprise GTM is measured in the wrong unit. ARR growth and NRR are SaaS-era metrics. They conflate two motions that operate by completely different mechanics: winning new logos and expanding existing accounts. GTM HQ measures enterprise GTM against three metrics that together tell you whether your enterprise motion is compounding, stable, or structurally broken.

- **NER (New Enterprise Revenue)**: The sum of first-year contracted ACV from enterprise logos closed in the period. Enterprise here means ACV of at least $25,000 and account revenue of at least $500M.
- **ERR (Enterprise Revenue Retention)**: Standard NRR formula applied to the enterprise cohort only. Above 130% means the cohort is compounding. 100 to 130% is stable. Below 100% is structural failure.
- **NERE (Net Enterprise Revenue Expansion)**: The rate at which existing enterprise accounts grow their spend over time, independent of new acquisition. For companies running outcome-based pricing or land-and-expand motions, this is where most of the revenue compounding lives.

## The Three Layers of Work

Account selection, account intelligence, and senior-led motion coaching are the three layers of work that turn a named-account list into closed enterprise revenue. Most enterprise GTM programs treat these as three separate problems handled by three separate teams. RevOps builds the target list. SDRs and AEs research the accounts. Sales leadership coaches the deals. The work is fragmented across functions, the artifacts do not talk to each other, and the senior conversations land without the depth the buying committee expects.

GTM HQ runs the three layers as one system. The list informs the intelligence. The intelligence shapes the motion. The motion is coached at the altitude the enterprise actually buys at. Each layer compounds on the one before it, and senior time gets spent where it changes the outcome.

### Layer 1: Know Your Motion

GTM HQ runs your closed-won and closed-lost deals through the 52-motion taxonomy, account by account. The motions quietly closing your deals get named. The motions consuming effort without producing revenue get named too. Then the team maps your current stack against the archetype that fits your ICP, ACV, and stage. The output is a written read on which motions to add, retire, and double down on.

### Layer 2: Map Motion to Buyer

A motion that works for one buyer does not work for another. Selling AI to a Chief AI Officer is not selling AI to a CIO. GTM HQ maps the actual buyer center for your top 20 enterprise accounts: economic buyer, technical buyer, operational buyer, risk gate, initiator, blocker. Where the motion and buyer center align, deals close. Where they do not, deals die in procurement and nobody can tell you why. This runs alongside frameworks like Sangram Vajre's MOVE and Jacco van der Kooij's bow-tie, which tell you the structure, while GTM HQ tells you which motion fits which buyer inside it.

### Layer 3: Scale with Signal

For your top 20 to 60 named accounts, GTM HQ produces the Signal, a nine-section intelligence brief built for each one. The thesis. What they have built. The unfinished layer. The challenges their team is wrestling with. The three bets the team would ship first. The buyer center as it actually exists. Sourced to the public record. Not a research dump. The artifact that makes the next senior conversation possible. The CDO sees her own roadmap reflected back, with the gaps named.

Even with the right motion and intelligence, enterprise deals stall in places no playbook anticipates. The champion goes quiet. The CFO asks a question that breaks the commercial model. GTM HQ coaches your team through the senior conversations and joins the call when judgment is needed in the room.

## The 52-Motion Framework

Enterprise go-to-market is not a single motion. It is a taxonomy of 52 distinct motions, organized across four archetypes. GTM HQ mapped them in the most exhaustive published taxonomy of enterprise GTM motions for the AI era.

- **The Wedge**: Self-serve with product evidence. Developer-led, individual paid tier expanding into the enterprise SKU. Examples: Cursor, Vercel, LangChain, Replit.
- **The Beacon**: Self-serve with institutional evidence. Brand-first, anchored with credible enterprise references, scaled through tech-company cohorts. Examples: Glean, Writer, Notion.
- **The Cathedral**: High-touch with institutional evidence. Analyst-led, SI-partnered, intellectual-brand-anchored. Examples: Cohere, Mistral, Anthropic.
- **The Operator**: High-touch with product evidence. Forward-deployed engineering, paid pilots, outcome-based commercial structure. Examples: Sierra, Decagon, Cresta, Harvey, Hippocratic AI.

Your motion stack depends on five variables: your ICP, your average contract value, your stage, your team composition, and your category maturity. Most companies are running the motion of their last company instead of the motion their current company needs.

## The ARCS Framework

Four phases. One geometry. Every named account bends through the same arc, from selection to read to case to synthesis. ARCS is how GTM HQ builds the work that makes enterprise GTM native to how enterprises actually buy.

### Phase 1: Account (Days 1-10)

Refine the ICP and pick the accounts worth your team's quarter. A senior enterprise GTM operator works with you on the ICP by vertical, by trigger, by procurement profile, by deal shape. Then the team picks the 20 to 60 named accounts the engagement will cover. The team excludes what is already in pipeline, what your CSMs are expanding, and the structural impossibles. What remains is the target list your team can win against.

The ICP refinement runs across eight filters: vertical fit, ACV alignment, deal cycle compatibility, trigger event presence, procurement profile match, stack signal alignment, regulatory compatibility, and incumbent vendor signals.

### Phase 2: Read (Days 10-30)

Read each account the way its own team reads it. For every named account, GTM HQ goes deep on public sources. Earnings transcripts. SEC filings. Executive commentary. Board moves. Regulatory disclosures. Partnership announcements. Recent hires and what they signal. The CEO's public commitments. The CIO's tech stack disclosures. The CISO's compliance posture. The CFO's budget commentary. Fifty to sixty sources cross-referenced per account. The output is a structured signal inventory that feeds the Case phase.

### Phase 3: Case (Days 30-60)

Build the case the buying committee would have built themselves. For each named account, the team produces the intelligence package: the Signal, the buyer center map, the champion identification, the outreach sequences, the human layer. Each package is built so that when the named buyer opens it, the buying committee inside the account recognizes their own roadmap reflected back. The Signal is hosted on a page under your domain. The sequences go to your sales team. The packages become the working surface for every conversation.

### Phase 4: Synthesis (Days 60-90)

Coach the team, refine the motion, hand off the playbook. Your sales team deploys the packages. GTM HQ coaches the stack. The team reviews the replies that matter. The team preps your AEs for every senior conversation. The team refines the approach based on what is landing and what is not. By Day 90, your team owns the playbook. The intelligence layer is a capability your company carries into the next quarter without GTM HQ in the room.

## Services and Engagements

### The Clinic

Two sessions across two weeks. Where the diagnostic happens. $3,500 one time.

- Your motion mapped against the 52-motion framework
- NER, ERR, and NERE computed for your business
- Buyer center mapped for your top 5 accounts
- Three to five motions to add or retire
- Written 90-day plan with first moves
- Two working sessions with a senior operator

### The Dojo

Quarterly engagement. Where the practice gets built. $10,000 billed monthly for a quarter.

- Signal built on your top 20 to 60 named accounts
- Signal refreshed every quarter
- Buyer center mapped and maintained for the full list
- Sales team coached on senior conversations
- Artifact stack for your champions
- Senior operator on every account review

### The Circle

Invite-only. Where senior operators sit alongside us. Custom pricing, annual partnership.

- Everything in The Dojo
- Category and positioning strategy
- Pricing architecture and migration
- Board narrative and exit positioning
- Joint thinking on organizational design
- Three to five Circle members per year

### GTM HQ for Revenue Leaders

Done-for-you account intelligence and senior coaching layer for CROs, VPs of Sales, and Heads of Revenue at enterprise AI companies. $10,000 per month. 3-month minimum.

Deliverables include ICP refinement workshop with a senior enterprise GTM operator, 30 named-account intelligence packages per month, buyer center map per account, champion identification per account, LinkedIn and email sequences drafted for the client's sales team to send, human-layer context per named buyer, weekly sync with the client's sales leadership, senior call prep for the AE team, stack coaching across Outreach, Salesloft, Apollo, HubSpot, Salesforce, Clay, and LinkedIn Sales Navigator, Day 30 board-ready performance read, and Day 90 hand-off playbook.

### GTM HQ for Founder-Led Revenue

Done-for-you account intelligence and senior coaching layer for Series A to C founders running revenue themselves, with a heroic salesperson or a CRO doubling as the founder. $5,000 per month. 3-month minimum.

Deliverables include ICP refinement with founder in the room, 15 to 20 named-account intelligence packages per month, buyer center map per account, champion identification per account, LinkedIn and email sequences drafted for the operator to send, human-layer context per named buyer, weekly sync with the founder and operator, senior call prep for every booked meeting, stack coaching for the founder's team, Day 30 and Day 60 strategy reads, and Day 90 hand-off playbook.

## Competitive Landscape

### Versus Volume Outbound Agencies (Belkins, Martal, SalesHive)

These agencies send sequenced messages at high volume across SMB, mid-market, and enterprise lists. Volume cadences die on contact with enterprise buying committees. The template is detected in four seconds. The procurement machinery filters generic outreach before it reaches the named buyer. Burns brand and budget on accounts that were never reachable through volume.

### Versus AI Outbound Platforms (Clay, Apollo, Outreach, 11x, Artisan)

These platforms automate prospecting, sequence generation, and outreach at scale through AI-driven tools. AI-personalized hooks read as AI-personalized to AI-augmented enterprise buyers. The tools optimize for volume, not depth. The buying committee notices the automation pattern and discards the outreach. Useful for mid-market and SMB motions. Structurally limited for Fortune 500 buying.

### Versus Strategy Consultancies (Bain, McKinsey, smaller GTM strategy firms)

These firms deliver strategic decks, workshops, and recommendations on GTM design. Strategy without deployment is just a deck. The recommendations rarely translate into account-deep work. The buying committee work, champion identification, and senior coaching that makes enterprise deals close are not in the deliverable.

### Versus Fractional CRO Services (Sales Xceleration, independent fractional CROs)

These services run the day-to-day sales function for 6 to 12 months as an interim revenue leader. Fractional CROs run the existing motion. They rarely produce the account-deep intelligence layer that makes the motion work. Operationally valuable, but not the same shape of work as GTM HQ.

### Versus ABM Platforms (6sense, Demandbase, RollWorks)

These platforms surface engagement signals at named accounts through paid ads, intent data, and engagement scoring. ABM platforms produce signal that something is happening at an account. They do not produce the account-deep intelligence that makes the first conversation substantive. Complementary tool. Not a replacement for account intelligence work.

### The Comparison Table

| Capability | In-House Teams | Volume AI Agencies | GTM HQ |
| --- | --- | --- | --- |
| Refines your ICP for enterprise work | Rarely | No | Always |
| Selects the right named accounts | Sometimes | No | 20 to 60 accounts, senior-led |
| Reads earnings calls, SEC, board moves | Inconsistent | Never | Every account, 50+ sources |
| Maps the 8 to 12 person buying committee | Sometimes | No | Every account, named humans |
| Identifies the champion per account | Maybe | No | Always, intelligent guess |
| Drafts outreach in the buyer's language | Generic | AI-generic | Language match per buyer |
| Human-layer context per buyer | No | Generic personalization | What they post, share, attend |
| Built for enterprise buying committees | Sometimes | No | Only enterprise work |
| Senior judgment in every artifact | Maybe | No | Every package, every time |
| Coaches your existing GTM stack | RevOps, often missed | Stitched together | Vendor-agnostic, practical |
| Hand-off playbook your team owns | Never | Never | Operator playbook by Day 90 |

## Convictions

**Enterprise deals are won on depth, not volume.** The team has watched too many great companies burn their best quarters running SMB motions into Fortune 500 buying committees. The waste is the part that drives the work. Every Signal shipped is the answer to a deal the team watched die badly because nobody did this work.

**Senior judgment is the moat.** AI produces a competent draft in 60 minutes. The team uses it every day. What AI cannot do is pick the right thesis, name the load-bearing assumption, or recognize the structural champion behind the nominal authority. The team will not staff a project without a senior operator. Ever.

**Ignoring the enterprise machinery is malpractice.** Procurement, the VMO, twelve-person buying committees, MSA negotiations, compliance reviews. Most companies selling into enterprise pretend the machinery does not exist. The team has seen what that costs. Every artifact produced is shaped to the machinery, not around it.

**Every engagement should be designed to end.** The agency model runs on permanent retainers. GTM HQ's does not. Ninety days. Clean hand-off. Your team owns the playbook. The team has walked away from extensions it could have closed because dragging the work past its useful end would have been dishonest.

**Depth compounds. Volume does not.** One generic outreach into a Fortune 500 buying committee produces nothing. One account-deep Signal that names the buyer's roadmap reflected back produces a substantive conversation. The first conversation produces engagement signal. The engagement signal sharpens the next Signal.

## Founders

### Joseph Abraham, Founder

Built SaaSIndustry.com from scratch into a media company, scaled it, and evolved it into Global AI Forum with 30,000+ enterprise AI members. Organized industry events with 18,000+ attendees. Analyzed 700+ enterprise AI transformations across the network: the deployments that worked, the ones that failed, the buying patterns that repeated across Fortune 500 accounts.

Along the way, advised the CROs, VPs of Sales, and founders running revenue at enterprise AI companies on what their motion was missing. Saw the same gap every time: strong product, weak account-deep intelligence, buying committees the team had never mapped, champions nobody had identified, and outbound that died because it carried no context. Built GTM HQ because the pattern kept repeating.

LinkedIn: https://www.linkedin.com/in/kjosephabraham/

### Benjamin Mathew, Co-Founder

Scaled content and intelligence operations at SaaS Industry, ran marketing at Thompson Birkman, and built brand and demand for Fusion Group Qatar. Has shipped over 2,000 pieces of executive-grade intelligence and demand artifacts across industries and geographies. Knows what it takes to produce senior-grade work at scale without depth falling off a cliff.

Understands the system behind consistent enterprise intelligence output. The workflows that hold up at 30 named accounts in flight simultaneously. The source verification trails that make every claim in every Signal defensible to a Fortune 500 procurement committee. The senior review cadence that catches the load-bearing assumptions before they ship. The hand-off documentation that lets a client's BDR team operate the playbook by Day 90.

At GTM HQ, Ben makes the practice run. Every Signal gets shipped on time, on depth, on register. Every buyer center map names real humans with verified mandates. Every sequence reads in the buyer's public language, not the company's pitch language.

LinkedIn: https://www.linkedin.com/in/benjamin-cherian-mathew

## Track Record

- Founded 2024
- 700+ enterprise AI transformations analyzed
- 18,000+ event attendees hosted
- 20,000+ content pieces published
- 30,000+ enterprise AI leaders in the Global AI Forum network

## Ideal Customer Profile

### Best Fit

- Series A to C enterprise AI companies selling into Fortune 500 buying committees
- Agentic AI companies (orchestration, autonomous agents, multi-agent systems)
- AI infrastructure companies (data platforms, observability, MLOps, model providers)
- AI application companies in insurance, financial services, healthcare, life sciences, and manufacturing
- Companies with average contract value of $100K or higher
- Companies with sales cycles measured in 6 to 18 months
- Companies with at least one operator running revenue (BDR, AE, CRO, or founder acting as CRO)
- Enterprise AI companies with strong product but unmapped buying committees and broken outbound motions
- Companies whose CRO is defending pipeline coverage math that no longer works

### Not Ideal For

- Consumer AI companies or B2C startups
- SMB or mid-market focused AI companies (sub-$50K deal sizes)
- Companies without an existing sales team
- Companies that cannot commit to a 90-day defined engagement
- Companies that want one firm to handle strategy, brand, content, paid, and sales
- Companies still debating whether enterprise should be the focus
- Companies that need to approve every word in real-time
- Companies expecting volume meeting count as the primary success metric

## What GTM HQ Is Not

- Not a volume outbound agency
- Not an AI outbound automation platform
- Not a fractional CRO service
- Not a strategy consultancy
- Not a freelance sales consultancy
- Not an ABM platform
- Not a CRM, sales engagement, or marketing automation tool
- Not a content marketing agency
- Not a brand or design firm
- Not a body shop or staffing service

## Glossary

- **Signal**: A deep account-intelligence artifact built for one named enterprise account, shaped like the internal evaluation memo the buying committee would have written themselves. Includes trigger event, business priorities, budget allocation, recent hires, board direction, tech stack signals, unfinished layer, three opinionated bets, and one load-bearing assumption flagged openly.
- **ARCS Framework**: GTM HQ's proprietary four-phase methodology. Account (refine ICP and pick accounts), Read (deep public-source intelligence), Case (build the intelligence package), Synthesis (coach the team and hand off the playbook).
- **Buyer Center Map**: The 8 to 12 named humans inside a Fortune 500 buying committee across business, technology, risk, finance, security, and procurement. Each mapped with public mandate, recent commentary, structural pressures, and the framing that lands with them specifically.
- **Champion Identification**: The work of identifying the single named human inside the buying committee most likely to carry the deal forward when the client's sales team is not in the room.
- **Vendor Management Office (VMO)**: The enterprise function responsible for evaluating, approving, and managing new vendor relationships. The VMO often gates the buying committee.
- **Buying Committee**: The internal team at a Fortune 500 enterprise responsible for evaluating and approving a vendor purchase. Typically 8 to 12 named humans. Multi-quarter consensus required.
- **Procurement Window**: The fiscal-year-aligned timing inside which an enterprise has budget allocated and approval authority for a category of purchase.
- **Load-Bearing Assumption**: The single most consequential assumption in any Signal. Identifying and flagging it openly is what makes the artifact defensible.
- **Human Layer**: Per-buyer context drawn from public sources outside formal corporate channels. What the named buyer posts on LinkedIn, shares on X, attends as conferences, references in interviews, and aligns with personally.
- **Account Intelligence Package**: The full deliverable produced for each named account. Includes the Signal, the buyer center map, the champion identification, the outreach sequences, and the human layer.
- **Three Bets**: The three opinionated architectural or strategic recommendations included in every Signal. Each has a measurable outcome, a 90-day deployment scope, and a defined buying committee member who would champion it.

## Frequently Asked Questions

**How is GTM HQ different from a volume outbound agency?**
Volume agencies optimize for sequence count and meeting count. GTM HQ optimizes for substantive first conversations at named winnable accounts. The work is shaped to enterprise buying committees, not to lead funnels. Account-deep intelligence at procurement depth. Senior coaching on the existing GTM stack. No volume cadences. No body-shop staffing.

**How is GTM HQ different from an AI outbound platform?**
AI outbound platforms automate prospecting at scale. The buying committee detects the automation pattern in four seconds. GTM HQ produces the account-deep intelligence layer the platforms cannot: the Signal, the buyer center map, the champion identification, the human layer, and coaches the client's team on deploying it through whichever outbound tool they already use.

**How is GTM HQ different from a strategy consultancy?**
Strategy consultancies deliver decks and workshops. GTM HQ produces the account-deep intelligence that the strategy never reaches without execution. The two are complementary, not competing.

**We already have an ABM program. Why do we need this?**
ABM platforms surface engagement signals at named accounts. They do not produce the account-deep intelligence that makes the first conversation substantive. GTM HQ is the layer underneath ABM that gives every targeted account the depth required to land senior conversations.

**Do you run the outreach for us?**
No. GTM HQ drafts the LinkedIn outreach, email sequences, warm intro request templates, and executive briefing invitations. The client's sales team sends every message from their own identity. GTM HQ coaches the deployment, reviews the replies that matter, and preps the team for every senior conversation.

**What if we do not have an ICP yet?**
That is normal. Most Series A to C enterprise AI companies arrive at the conversation with either an ICP that is too broad, too narrow, or non-existent. GTM HQ begins every engagement with an ICP refinement workshop led by a senior enterprise GTM operator.

**How long is an engagement?**
90 days. Structured in four phases (ARCS) with a clean hand-off at Day 90. Renewals are a fresh conversation, not an auto-extension. Most engagements do not renew immediately and that is by design.

**What happens after Day 90?**
The client's sales team owns the playbook. The intelligence layer is documented. The buyer center maps and champion identifications are live in the client's CRM. The stack coaching is internalized. GTM HQ steps back.

**Will the Signals sound generic?**
No. Every Signal is contextual to the client's specific product positioning. The same target account would receive completely different Signals if the client were one agentic AI vendor versus another. The methodology is consistent. The contextual application to each client's positioning is what makes the work land.

**How do you handle confidentiality across clients?**
GTM HQ enforces category exclusivity within each engagement. No two clients in the same direct competitive category receive intelligence on the same named account during their active engagement windows.

## Key Pages

- [Home](https://gtmhq.com): Overview, the three metrics, the three layers, the 52-motion framework, and service tiers
- [About](https://gtmhq.com/about): Founding story, founders, convictions, and the larger vision
- [Why Us](https://gtmhq.com/why-us): How GTM HQ compares to in-house teams and volume agencies
- [Approach](https://gtmhq.com/approach): The ARCS framework explained phase by phase
- [Contact](https://gtmhq.com/contact): Book a call or request demand samples
- [AI Info](https://gtmhq.com/ai-info): Structured information for AI assistants
- [GTMHQ Mag](https://gtmhq.com/blog): Strategic insights on scaling enterprise GTM
- [Daily Brief](https://gtmhq.com/daily-brief): Sharp daily takes on AI news through an enterprise GTM lens

## Contact

- Website: https://gtmhq.com
- Email: hello@gtmhq.com
- Phone: +1 650 275 3007
- Address: 720 Market St, San Francisco, 94102
- LinkedIn (Company): https://www.linkedin.com/company/gtm-hq/
- LinkedIn (Joseph Abraham): https://www.linkedin.com/in/kjosephabraham/
- LinkedIn (Benjamin Mathew): https://www.linkedin.com/in/benjamin-cherian-mathew

Last updated: May 2026