What it does

Use when a user mentions "competitor mention detected", "competitive intent response", "competitor signal journey", or asks for related help. Behavioral signal detection — visited competitor comparison page, mentioned competitor in support conversation, clicked competitor-keyword email content — fires personalized competitive content + AE/CSM task with intel + recommendation surface highlighting differentiators. Modern B2B savvy.

You get

Attribute

AI-Derived Attribute produced by this recipe.

Segment

Segment produced by this recipe.

Content Asset

Asset produced by this recipe.

Recommendation

Recommendation Surface produced by this recipe.

Journey

Journey produced by this recipe.

Dashboard

Dashboard produced by this recipe.

How it works

1

Build Competitor-Signal AI Attribute

create_ai_attribute

Create an AI-derived attribute

Produces:Attribute

2

Identify Competitive-Intent Audience

Create Segment

Build a segment

Produces:Segment

3

Build Competitive Content

Generate Content

Generate competitive content variants per inferred_intent. Evaluation intent (existing customer comparing — concerning but not yet leaving):

Produces:Content Asset

4

Build Differentiator Recommendation Surface

create_recommendation

Configure a recommendation surface

Produces:Recommendation

5

Build Competitive Defense Journey

Create Journey

Build a journey wired to competitor-signal segment, branched by inferred_intent. Touch 1 (within 4 hours of signal — speed matters): intent-matched email. Touch 2 (Day 0 of touch 1): differentiator-recommendation surface activates in-app for 30 days. Touch 3 (Day 2, for high-signal-strength accounts): CSM/AE task with full competitor intel attached (competitor name, signal type, inferred intent, suggested talking points, customer

Produces:Journey

6

Build Competitive Defense Dashboard

Build Dashboard

Compose a competitive defense dashboard: competitor signal volume per competitor (which competitors are hottest in your current customer base — strategic competitive intel for leadership), per-competitor save rate (which competitors you actually save customers from vs. lose to), inferred-intent distribution (evaluation vs. leaving — leading indicator of churn from competitive pressure), and ARR-weighted at-risk pile from competitor signals. Feeds the product-marketing competitive-positioning function with real data, not assumptions.

Produces:Dashboard

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Competitor Mention Detected Response

What it does

You get

How it works

Build Competitor-Signal AI Attribute

Identify Competitive-Intent Audience

Build Competitive Content

Build Differentiator Recommendation Surface

Build Competitive Defense Journey

Build Competitive Defense Dashboard

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