AI Search Ops™ > JIT Roadmap
Jobs → Intent → Topics: Your AI-First Content Roadmap
A JIT Roadmap turns customer Jobs-To-Be-Done into a crystal-clear intent map and a prioritized topic backlog designed for AI-native search.
Trusted by founders, loved by marketers
From Jobs to AI-Ready Topics
in Three Steps
We start with the real problems your audience is trying to solve, translate them into the queries and prompts that large language models understand, and deliver a plan that puts your brand in the answer box—without guesswork, wasted effort, or content bloat.
Extract Jobs-To-Be-Done
We start with the real problems your audience is trying to solve and translate them into the prompts that AI understands. Each job becomes the anchor for an intent that LLMs can recognize and connect to your brand.
Map Intents to AI-Surface Demand
Next, we translate jobs into discrete query and prompt intents, cluster them by journey stage, and score them for both business value and likelihood of appearing in AI-generated answers.
Build the Prioritized Topic Plan
Finally, we turn high-value intents into a ranked topic backlog and create LLM-first content briefs. These briefs specify entities, claims, and references—giving your team everything they need to produce content that’s AI-ready from day one.
Why the JIT Roadmap Wins in AI Search
Every step of the JIT Roadmap is designed to give you a measurable advantage where AI decides who gets seen, cited, and trusted.
Focused Effort: Eliminate wasted content by targeting only the intents that matter most to your audience and business.
AI-Surface Alignment: Build topics the way large language models parse and prioritize information.
Competitive Edge: Claim valuable AI-answer space before your competitors even know it exists.
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JIT Roadmap FAQs
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The JIT Roadmap is Growth Marshal’s AI Search Ops™ planning track that turns Jobs-To-Be-Done (JTBD) into a clear intent map and a prioritized topic backlog built for AI-native search. You receive an Intent Map, a ranked topic backlog, and LLM-first briefs; implementation is a separate engagement.
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We translate customer jobs into discrete query/prompt intents, score them by business value and AI-surface opportunity, and specify the entities, claims, and references LLMs expect—so your content is more likely to be selected, cited, and trusted.
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JTBD captures the real problem/solution language customers use across the journey, producing intent clusters that align with how LLMs retrieve and compose answers—yielding stronger entity coverage and less wasted content.
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Founders, marketing/SEO leads, and content teams who need an AI-first plan to win brand inclusion and citations across LLMs—whether launching a new corpus or refactoring existing content.
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Deliverables: Intent Map, scored topic backlog, and 5–10 LLM-first briefs (entities, claims, references, FAQ atoms, prompt coverage).
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JIT is the planning layer inside AI Search Ops™. Its outputs feed provenance and claims work (Trust Stack™), distribution (Zero Click™), and monitoring/diagnostics (Signal™), creating a closed loop for AI visibility.
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