How It Works

From Zero to
GTM Strategy.
In Four Stages.

Most startups spend 18 months discovering their GTM strategy through trial and error. Arnen compresses that into 4-6 weeks using analogical intelligence across 10,000+ companies.

Time to strategy: Traditional vs Arnen
Category definition
3-4 mo1 wk
Pricing discovery
6-9 mo2 wk
Buyer validation
4-6 mo1-2 wk
Objection mapping
3-4 mo1 wk
Enablement
2-3 mo3-5 days

The Process

Four Stages. 4-6 Weeks.

01

INTAKE

Intake

30 MIN

Inputs

Product description, target market, initial hypotheses

Processing

STRUCTURING BRIEF...

Outputs

  • Structured product brief
  • Initial search vectors
  • Hypothesis map
02

ANALYSIS

Analysis

2-4 HRS

Inputs

Structured brief, 10,000+ company database

Processing

SCANNING 10,000+ COMPANIES...

Outputs

  • 5-layer waterfall results
  • Analogous market mappings
  • Pricing signal clusters
03

TRIAGE

Triage

1-2 HRS

Inputs

Waterfall results, 20+ narrative variants

Processing

GENERATING VARIANTS...

Outputs

  • Fire/Drop/Refine classifications
  • Ranked narrative variants
  • Confidence scores
04

PLAYBOOK

Playbook

1-2 HRS

Inputs

Triaged narratives, pricing range

Processing

COMPILING PLAYBOOK...

Outputs

  • Pricing range + rationale
  • Objection playbook (30+)
  • Sales enablement assets

Core Methodology

The 5-Layer Market
Discovery Waterfall

When no direct competitors exist, we search five layers of analogous companies — each deeper than the last — to find the pricing and positioning signals you need.

1Layer

Find your direct competitors—even the ones you didn't know existed

We scan 10,000+ funded companies to identify products with 90%+ functional overlap. Direct analogs are rare for novel products, but when they exist, they're the strongest signal for pricing and positioning.

Scan radius10,000+
Match threshold90%+
Signal typeDirect
Scans 10,000+ funded companies
2Layer

See how neighboring categories price the same pain

Your product may be novel, but the problem you solve isn't. We map companies in adjacent markets who address the same buyer pain through different mechanisms—revealing pricing patterns that translate to your category.

Adjacent markets3-8
Pattern vectors847
Signal typeStructural
Maps cross-category pricing patterns
3Layer

Match products by who buys them, not what they do

A VP of Engineering has the same budget authority whether they're buying security tools or developer productivity software. We identify products competing for the same decision-maker's attention and wallet.

Buyer matches120+
Decision-makersVP+
Signal typePersona
Matches by decision-maker, not category
4Layer

Align your price to your value delivery timeline

Products with 18-month payback periods price differently than those with 90-day time-to-value. We match you to companies with similar ROI mechanics to find your natural pricing ceiling.

ROI comps156
Payback match18mo
Signal typeEconomic
Sets your natural pricing ceiling
5Layer

Establish your floor price through economic fundamentals

When structural analogies don't hold, we fall back to pure economics: what does the problem you solve cost to have? This becomes your pricing floor—the minimum justifiable value of your solution.

Cost baselineFloor
ConfidenceMin
Signal typeFallback
Establishes your pricing floor
Strong signal
Moderate signal
Fallback signal

What Powers Each Stage

6 AI Engines. One Platform.

01

Narrative Generator

20+ ways to explain what you do—find the one that clicks.

20+ messaging variants
Active in:TRIAGEPLAYBOOK
02

Pricing Model

A defensible price range, not a guess. Learns from your wins.

Defensible price range
Active in:ANALYSISPLAYBOOK
03

Objection Forecaster

Know the 30 objections you'll hear—before you hear them.

30+ predicted objections
Active in:ANALYSISPLAYBOOK
04

Analyst Intelligence

See how Gartner will classify you before they publish.

Category classification
Active in:ANALYSIS
05

Call Simulator

Practice against 5 AI buyers who push back like real ones.

5 AI buyer personas
Active in:PLAYBOOK
06

GTM Playbooks

Steal from Datadog, Snowflake, Workday—adapted to your stage.

Ready-to-use assets
Active in:PLAYBOOK

Our Philosophy

AI shows you the map.
You choose the path.

Arnen is human-in-the-loop by design. Every narrative variant, pricing signal, and objection forecast is a hypothesis for you to accept, reject, or refine. The AI proposes. You decide. The system learns from every decision you make.

AI Proposes

20+ hypotheses generated per cycle

You Decide

Fire, Drop, or Refine every output

System Learns

Bayesian models update with your choices

Ready?

Start Discovery.
First Hypothesis in 48 Hours.

No credit card. No commitment. Get a pricing range, competitive positioning, and top objection predictions for your product.