SearchForge

AI content intelligence for entity-driven brief generation

RoleBuilder / AI Practitioner

ContextPersonal AI content intelligence prototype

Representative SearchForge AI content intelligence dashboard mockup — Representative product mockup; not client data.

Partners

Content Teams

Tools & Data

Python, Search APIs, LLMs

Proof

Automated entity gaps, topic clusters, schema prompts, FAQs, source targets, and editorial QA for SEO content briefs.

Interview Angle

Use this story when the interviewer cares about scale, execution ownership, cross-functional alignment, or turning messy data into a shipped system.

Problem

Content briefs were generic; entity gaps and topical authority gaps were identified manually

System & Approach

AI system for briefs, entity gap detection, topic clusters, schema generation, FAQs, source/citation targets, editorial QA

Execution Pattern

This work required translating search and analytics signals into concrete requirements, aligning stakeholders who owned different parts of the system, and keeping the implementation tied to measurable business outcomes instead of isolated SEO tasks.

Outcome

Automated entity gaps, topic clusters, schema prompts, FAQs, source targets, and editorial QA for SEO content briefs.

What this shows hiring managers

Deep understanding of how AI can scale high-quality SEO content operations.