ContextRank
SOLUTIONS / AI AGENT INFRASTRUCTURE

Build a GTM engine for the companies building AI agents.

You sell security and control infrastructure to engineers who read the docs before they read your emails. We build the GTM system that knows who they are, what they're struggling with, and when they're ready to talk.

EXAMPLE SIGNAL FEEDILLUSTRATIVE · NOT LIVE DATA
01
HIRING SIGNAL

Series A fintech opens an "Agent Platform Engineer" role

02
TECH SIGNAL

Team ships MCP servers to production in a public repo

03
PAIN SIGNAL

CTO posts about agent permissions after an audit

ROUTED TO: AI AGENT SECURITY PLAY

THE MARKET
WE GO DEEP ON

AI Agent Infrastructure
AI Agent SecurityAI Agent Control Plane

One market, two verticals. Narrow on purpose — so every signal, message and play is built for a buyer we actually understand.

01 / WHY IT MATTERS

Great infrastructure doesn't sell itself. A good system does.

01 / MARKET LOGIC

Find the right market

  • —Ground the ICP in market, product and customer evidence — not job titles
  • —Separate teams experimenting with agents from teams running them in production
  • —Rank accounts by urgency, not by company size
02 / MARKET LOGIC

Connect signals to action

  • —Track hiring, repo, funding and incident signals in one feed
  • —Map every signal to a specific play, owner and message
  • —Reach buyers when the problem is live, not after a vendor is picked
03 / ACQUISITION

Build repeatable acquisition

  • —Turn founder-led GTM wins into a documented, runnable motion
  • —Automate research and routing so reps spend time on conversations
  • —Measure what converts and feed it back into the ICP

TECHNICAL PRODUCT / TECHNICAL MARKET

Your product is technical. Your GTM system should understand the market.

Generic outbound tools treat an agent-security buyer like any other SaaS lead. We build around the architecture decisions your buyers are actually making.

02 / VERTICALS

Two verticals.
Two different buyers.

Same market, different pains. Each vertical gets its own ICP, signal set and messaging — never one playbook stretched across both.

VERTICAL A

AI Agent Control Plane

Orchestration, observability and governance for teams running many agents across many tools.

BUYER
Head of Platform, AI Eng lead
PAIN
Agent sprawl, no visibility, rising cost
TRIGGER
Moving from 1 agent to 10+ in prod
VERTICAL B

AI Agent Security

Identity, permissions, guardrails and runtime protection for agents acting on real systems and data.

BUYER
CISO, Security Eng, AppSec lead
PAIN
Over-permissioned agents, audit gaps
TRIGGER
Compliance review or first agent incident

03 / THE GTM SYSTEM

Five stages. One connected system.

32 layers, built in sequence: first understand the market and product, then choose where to compete, engineer the motion, move customers through the lifecycle, and learn from the results.

Operating across the whole system

STAGES 01 → 05 / NOT ADDITIONAL STAGES
Revenue Operations (RevOps)

Connects people, processes, data, technology and governance: shared definitions, ownership, handoffs, CRM and reporting.

Explore RevOps capabilities
Revenue planning
Targets, capacity, budgets, and planning
Process architecture
Standardized workflows and team handoffs
Lifecycle management
Shared definitions, stages, and ownership
Data & CRM architecture
Account, contact, lead, opportunity, and customer data
Technology management
CRM, marketing, sales, and customer systems
Routing & automation
Assignment, notifications, follow-ups, and handoffs
Revenue intelligence
Pipeline, conversion, velocity, and revenue reporting
Forecasting
Pipeline and revenue forecasting
Governance
Data quality, process adoption, and accountability
AI & Automation

Supports research, enrichment, intelligence, decisions and workflow execution where it improves quality or speed, with human oversight.

THE 32 LAYERS

Follow the decisions in order.

Open any stage to read its core questions.

01Product Marketing FoundationUnderstand the market, product, customer value, and competitive position.
  1. 01

    Market & Category

    Which market are we entering, and what category do we compete in?

  2. 02

    Market & Customer Intelligence

    What do customer conversations, market trends, and alternatives tell us?

  3. 03

    Product Strategy

    What are we building, for whom, and why?

  4. 04

    Value Proposition

    What meaningful outcome does the product create?

  5. 05

    Differentiation

    Why choose us over competitors, internal solutions, or doing nothing?

  6. 06

    Positioning

    How should the market understand our product relative to alternatives?

  7. 07

    Proof & Commercial Model

    What evidence supports our value, and how is the product priced and packaged?

02GTM StrategyDecide where to compete, whom to serve, and how to reach them.
  1. 08

    Market Segmentation

    Which segments have the strongest fit and opportunity?

  2. 09

    ICP

    Which companies should we prioritize?

  3. 10

    Problem

    What specific problem are we solving for them?

  4. 11

    Use Case

    Where and how does our product solve that problem?

  5. 12

    Buyer & Buying Committee

    Who experiences the pain, evaluates, approves, signs, or blocks?

  6. 13

    GTM Strategy

    Which segments, channels, motions, and resources should we prioritize?

03GTM EngineeringTurn strategy into contextual, repeatable workflows.
  1. 14

    Context

    What is happening inside the account—its stack, stage, priorities, and maturity?

  2. 15

    Signals

    What indicates that the problem or buying opportunity is active now?

  3. 16

    Messaging

    What should we say to each buyer, based on their problem, use case, and signals?

  4. 17

    GTM Motion

    Which approach will we run—inbound, outbound, ABM, or PLG?

  5. 18

    Workflow Design

    What steps, decision rules, and handoffs make the motion repeatable?

  6. 19

    Automation & Integration

    Which tools, data flows, and automations support the workflow?

04GTM Lifecycle & Revenue FlywheelMove the right audience from awareness to customers, then grow customer value.
  1. 20

    Traffic Generation

    How do we attract or reach the right audience?

  2. 21

    Lead Capture

    How do we identify and capture interest?

  3. 22

    Lead Qualification

    Does this person or account fit our ICP, and is there meaningful intent?

  4. 23

    Nurturing & Engagement

    How do we build trust and maintain engagement?

  5. 24

    Opportunity Qualification

    Is there a real buying problem, appropriate stakeholders, and a viable opportunity?

  6. 25

    Conversion

    How do we turn a qualified opportunity into a customer?

  7. 26

    Activation & Onboarding

    How does the customer reach their first meaningful value?

  8. 27

    Retention

    How do we help customers continue receiving value?

  9. 28

    Expansion

    How do we grow usage, accounts, or revenue?

  10. 29

    Advocacy & Referrals

    How do successful customers become advocates and referral sources?

05Measurement, Intelligence & OptimizationUse performance and customer evidence to improve every stage.
  1. 30

    Measurement & Attribution

    What is happening across the funnel, channels, and revenue?

  2. 31

    Performance Intelligence

    Where are we losing momentum, and what patterns explain the results?

  3. 32

    Learning & Optimization

    What should change in the product, positioning, ICP, messaging, or workflows?

The loop does not end at measurement.

Customer and performance evidence flows back to every earlier stage — refining product, positioning, ICP, messaging, workflows and the lifecycle continuously.

05 ↺ 01–04

GTM strategy chooses priorities; GTM engineering builds the workflows that execute them. A GTM motion is the approach (inbound, outbound, ABM or PLG); channels such as email, LinkedIn and events are where activity happens. The lifecycle tracks prospect-to-customer progression. RevOps connects its operation, while AI & Automation enable work across every stage.

04 / WHAT WE BUILD

The engine, piece by piece.

01

ICP Intelligence

A scored, tiered account map of the teams deploying agents — with the buying committee mapped for each.

02

Signal Intelligence

Always-on detection of hiring, repo, funding and pain signals, scored and routed to the right play.

03

GTM Workflows

Research, enrichment, sequencing and CRM hand-offs wired together so nothing sits in a spreadsheet.

04

AI GTM Engineering

Custom AI agents that research accounts, draft context-aware messages and keep the system learning.

05 / HOW WE WORK

Diagnose first.
Build second.

These four phases describe how we work with you, not the five stages of the GTM system. We begin with the product and market before choosing buyers, tools or plays.

PHASE 01DIAGNOSE

Understand the business before the build

We map your product, current pipeline, founder-led wins and where deals stall — and size what each gap is costing you.

YOU GET

GTM teardown and a prioritised gap list

PHASE 02DEFINE

Define the market and buyers

With the product and market foundation in place, we define the ICP, buying committee and signals that mean a problem is live, per vertical.

YOU GET

ICP scorecard, buyer map and signal library

PHASE 03BUILD

Engineer the system and the first play

We wire research, enrichment, routing and messaging into one workflow and launch a single signal-led play.

YOU GET

A running GTM workflow in your stack

PHASE 04ITERATE

Measure, learn and scale what works

We review what converts, tune the ICP and signals, and add plays only once the first one is repeatable.

YOU GET

A documented motion your team can run

06 / YOUR FIRST PLAY

Build your first
GTM system.

Start with the product and market foundation. Define the ICP, then build one signal-led play and see it run before you scale it.