Sales GTM & Revenue Intelligence

AI-powered B2B sales and go-to-market intelligence engine. Builds Ideal Customer Profiles (ICP) across 8 dimensions, generates MEDDICC/SPIN/Challenger battle cards, creates personalized cold outreach sequences (AIDA/PAS/BAB), analyzes competitor tech stacks (BuiltWith/SimilarWeb), scouts prospects (LinkedIn Sales Navigator/Crunchbase data), and builds market entry TAM/SAM/SOM analyses. Integrates 10 data sources + 5 sales methodologies + 5 GTM frameworks. Delivers actionable sales playbooks, territory plans, and competitive intelligence.

Capabilities

#	Capability	Input	Output
1	ICP Builder	Industry / company size / geography / pain point	Quantified ICP profile with TAM estimation, account list, fit scoring model
2	Prospect Intelligence	Company name / domain	Tech stack (BuiltWith), funding stage (Crunchbase), growth signals (hiring), pain indicators (Glassdoor), key decision-makers
3	Competitor Battle Card	Competitor name	Product comparison, pricing, positioning, strengths/weaknesses, win/loss plays, objection handling
4	Cold Outreach Generator	ICP + value prop	Email sequences (days 1-18), LinkedIn messages, call scripts, A/B test variants with open-rate benchmarks
5	TAM/SAM/SOM Analysis	Market + product	Bottom-up and top-down market sizing, growth rate, addressable accounts, revenue potential
6	MEDDIC/MEDDPICC Qualification	Deal opportunity	Scorecard (Metrics/Economic Buyer/Decision Criteria/Process/Pain/Champion/Competition), risk flags, next steps
7	GTM Motion Designer	Product type + target market	PLG vs. SLG vs. Channel vs. Marketplace recommendation, sales team sizing, CAC/LTV model
8	Objection Handling Library	Product + common objections	Response frameworks, proof points (case studies, ROI data), narrative arcs, role-play scripts
9	Territory Planning	Region + industry + TAM	Account segmentation (Tier 1/2/3), AE count, quota allocation, travel optimization
10	Deal Review & Forecasting	Opportunity data	Commitment/upside/pipeline scoring, risk factors, competitive position, close-plan recommendations

Workflow

User Query
  │
  ├─ [Step 1] Classify → sales stage (prospecting / qualification / closing) + market + persona
  │
  ├─ [Step 2] Intelligence gathering (parallel):
  │   └─ Company data: Crunchbase, Owler, Glassdoor
  │   └─ Tech stack: BuiltWith
  │   └─ Traffic/engagement: SimilarWeb
  │   └─ Competitive: G2, Capterra
  │   └─ Market sizing: Statista, public filings
  │
  ├─ [Step 3] Apply methodology framework (MEDDIC / SPIN / Challenger as appropriate)
  │
  ├─ [Step 4] Generate output with actionable templates, not just analysis
  │
  └─ [Step 5] Benchmark vs. industry standards (response rates, win rates, deal velocity)

Output Formats

ICP Profile Card

Dimension	Specification
Industry	[NAICS codes, sub-verticals]
Company Size	[employees range, revenue range]
Geography	[HQ + target regions]
Tech Stack	[Must-have tools (e.g., Salesforce, HubSpot)]
Growth Signals	[Hiring for X roles, raised Series B, expanding to Y]
Pain Indicators	[Job postings for Z, bad G2 reviews on W]
Decision Makers	[Titles, LinkedIn profile traits, trigger events]
TAM	[Total companies × avg contract value]

Outreach Sequence

Day	Channel	Template	Purpose
1	Email	[Subject: {{pain_point}} at {{company}}]	Initial touch
3	LinkedIn	[Connection + context]	Social proof
7	Email	[Value-add: industry insight]	Educate
12	Call	[Script: problem → implication → payoff]	Engage
18	Email	[Breakup: "Is now a bad time?"]	Close loop

Competitor Battle Card

Arena	Competitor X	Our Product	Win Strategy
Core feature	[describe + limitation]	[describe + advantage]	[Lead with X, pivot to our Y]
Pricing	[$X/user, hidden fees]	[$Y/user, all-in]	[TCO calculator, 3Y savings]
Integration	[Limited: A, B]	[Extensive: A-Z]	[Demo integration ease]
Customer evidence	[Mixed reviews on G2]	[4.8★, case study wins]	[Relevant customer story]
Objection	["Too expensive"]	N/A	["What's the cost of not solving this?"]

Usage Guidelines

1. Personalization over automation — templates must be tailored with prospect-specific details, never fully generic
2. Psychology-driven — every outreach element should answer "why should I care?" in first 10 seconds
3. Multi-channel orchestration — email + LinkedIn + phone in coordinated sequences, not isolated blasts
4. Data-driven iteration — benchmark against industry response rates (cold email: 1-5%, LinkedIn: 10-30%, call connect: 5-15%)
5. Ethical selling — no deceptive tactics, respect opt-out, comply with CAN-SPAM/GDPR
6. Global GTM — adapt messaging for cultural context (direct vs. indirect communication, hierarchy vs. consensus)

Examples

Example 1: ICP & TAM

User: "Build an ICP for an automated compliance reporting SaaS for fintech in Southeast Asia" Output: ICP profile with TAM calculation (banks + fintech in SG/ID/TH/VN/PH), regulatory triggers, tech stack indicators (legacy GRC tools), targeted account list with scoring.

Example 2: Outreach Sequence

User: "Create a cold email sequence for selling DevOps observability to Series B startups" Output: 5-step sequence (email → LinkedIn → value-add email → call → breakup), each with subject lines, personalization hooks (funding round, tech stack, recent hires), A/B test plan.

Example 3: Competitor Analysis

User: "Build a battle card vs. Datadog for our APM monitoring tool" Output: Feature comparison matrix, pricing analysis (per-host vs. usage-based), win strategies (strengths to exploit, weaknesses to avoid), objection handling framework, customer evidence table.

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Data Base: references/sales_sources.json — 10 data sources, 5 sales methodologies, 5 GTM frameworks, 3 outreach templates, 8 ICP dimensions. Last Updated: June 2026 Free Tier: Available. This skill provides frameworks and intelligence; no proprietary deal data accessed.