Mango GTM

AI-powered GTM execution: Product Advisor chat, demo routing, lead scoring, and CI-grounded prospecting.

MangoApps

Overview

Mango GTM owns the revenue-side lifecycle — Product Advisor conversations on the marketing site, Book-a-Demo requests with HubSpot sync and geo-based routing, deterministic lead scoring with LLM rationale, and a Prospecting Agent that drafts outbound email grounded in Mango IQ battle cards and content briefs. Mango IQ sees the market; Mango GTM acts on it.

Productivity Utility

Highlights

Product Advisor AI chat converts anonymous visitors into qualified leads with competitive context attached.

Book-a-Demo requests flow into a full lead lifecycle with HubSpot sync, geo-based routing, and rep assignment.

AI-powered lead scoring ranks prospects using advisor signals, visitor journey, and Mango IQ competitive context.

Prospecting Agent drafts tailored outbound emails grounded in competitor battle cards and content briefs.

Similar-prospect discovery surfaces new accounts matching the ICP of recent wins.

Unified GTM Activity timeline correlates advisor conversations with demo requests per competitor and topic.

Capabilities

Inbound Intelligence

Product Advisor chat conversations (visitor-facing on marketing site)
Cross-session visitor history with ZoomInfo company enrichment
Automatic CI context extraction (competitor, content gap, feature comparison, market theme)
Buying-intent detection from conversation patterns
Nano-tier LLM topic gate filters off-topic/jailbreak attempts before RAG cost
CI context extractor model tier: Nano (fast, cheap) with heuristic fallback

Demo Request Management

Public Book-a-Demo form with honeypot and rate-limit protection
Full lead lifecycle stages (new → contacted → qualified → demo → proposal → closed)
HubSpot Form API sync with retry and failure notifications
IP-based geo resolution (country, continent) cached 7 days
Auto-assignment via priority-ordered routing rules
Round-robin, least-busy, or specific-admin assignment modes
CSV bulk import with field validation
High-priority flag auto-set from Product Advisor buying intent

Lead Scoring & Prioritization

Deterministic numeric score (0–100) with tiered banding
Scoring signals: buying intent, visitor profile, CI context depth, company size, geo, routing match
LLM-generated score rationale (prose, not numeric)
Similar-prospect search via pgvector over visitor extracted data
Scoring provider: Deterministic (reproducible across reruns)
Rationale model: Medium tier (OpenAI via RubyLLM)

Prospecting Agent

Natural-language chat interface for GTM workflows
Outbound email drafting grounded in CiCompetitorProfile battle cards
Follow-up drafting referencing visitor journey (pages viewed, questions asked, competitor mentioned)
Hook types: feature_gap, competitor_win, content_topic
Outreach channels: email, linkedin
All drafts persist with full generation audit trail (model, prompt, rationale)
Automatic publishing to HubSpot v1: internal "mark published" flag only; HubSpot Engagement write-back on roadmap

GTM Activity & Reporting

Unified timeline of advisor conversations + demo requests
Filter by competitor, content gap, feature comparison, market theme, buying intent, high priority
Admin dashboard with lead funnel analytics
My Leads view for individual assigned reps

Integrations & Platform

Reads Mango IQ canonical data (CiCompetitorProfile, CiFeatureComparison, CiContentGap, market themes)
Reuses Mango IQ BriefBacklogService for outreach hooks
Reuses Mango IQ EvidenceBundleService for testimonials/case studies
HubSpot Form API (portal-configurable)
Anthropic Claude and OpenAI via RubyLLM / LlmConnectionManager
Apollo / Clay / Clearbit external contact discovery Seam defined; integration deferred to a future release

Use cases

CI-aware demo follow-up

After a demo request lands referencing a specific competitor, the Prospecting Agent drafts a follow-up email citing the matching battle card, feature comparison, and a fresh content brief — grounded in the visitor’s advisor conversation.

Lead prioritization for reps

SDRs open their My Leads queue ranked by deterministic score; each lead shows a short LLM rationale explaining why it scored high or low, drawing from advisor extracted data and CI context.

Similar-prospect expansion

After closing a deal, find other advisor conversations and demo requests whose visitor profile + CI signals most resemble the won account — a warm list for the next outbound push.

Cross-competitor pipeline visibility

Filter the GTM Activity timeline by "Deputy" or "Workday" to see every visitor and demo request that engaged with that competitor’s positioning this quarter — inputs for battle-card refresh.

High-intent visitor alerting

When the Product Advisor detects buying intent, the demo request is flagged high_priority and routed to the right rep; lead scoring adds numeric context for forecast roll-ups.

FAQ

Mango IQ observes and analyzes the competitive market (competitors, feature matrix, content gaps, keyword opportunities). Mango GTM acts on it — owning the revenue-side lifecycle from anonymous visitor chat through demo request, scoring, and outbound prospecting.

No. The Product Advisor widget and the Book-a-Demo form on www.mangoapps.com are unchanged, along with all submission endpoints. Mango GTM only adds admin-side surfaces and agent tools.

Mango GTM runs without Mango IQ, but loses most of its value without competitive context. The Prospecting Agent, CI context filtering, and score signals all pull from Mango IQ’s canonical services.

v1 persists all drafts as CiProspectOutreach records with an internal "Mark Published" flag. Direct HubSpot Engagement write-back and automated sending are on the roadmap.

The interface seam (ExternalProspectProvider) is in place for Apollo/Clay/Clearbit-style integrations. Integration work is deferred until v1 dogfooding validates the inbound-first workflow.

Access is role-gated via the "mango-gtm" app admin permission. Super admins implicitly have access. Non-admin reps can see their assigned leads (My Leads) but not routing rules or outreach generation.