GEO Audit Intelligence Platform
A parallel-agent system that audits AI search visibility (citability, schema, crawlers, E‑E‑A‑T) and generates client-ready reports and proposals.
Overview
AI search is displacing traditional SEO, but most tools don’t measure AI citability or generative visibility. I built a GEO audit platform with five parallel specialized agents, a composite score, and a reporting/proposal pipeline.
Problem / Opportunity
What was broken (or missing), and why it mattered.
Businesses lacked a framework to measure and improve visibility in AI-generated answers.
Traditional tooling doesn’t evaluate AI citability, LLM-focused structure, or crawler access for generative systems.
Audits needed to produce actionable, branded deliverables (reports, PDFs, proposals) without manual formatting.
My role
Explicit ownership and responsibilities.
- Platform architecture
- Agent specialization design
- Orchestration logic
- Scoring framework development
- Report generation pipeline design
- Client delivery workflow design
- Skill sequencing + dependency mapping
Process / Approach
Where the strategy, structure, governance, and tradeoffs live.
- 1) Master orchestrator (parallel agents)
Designed a master agent that launches five specialized agents simultaneously to compress audit time and improve depth.
- 2) Specialized dimensions
Built agents for AI citability, content/E‑E‑A‑T, technical infra, schema/JSON‑LD, and AI crawler access.
- 3) Composite GEO Score
Engineered a 0–100 weighted score synthesizing results across categories, enabling prioritization and progress tracking.
- 4) Report + PDF pipeline
Built markdown-to-PDF reporting with score gauges, charts, and color-coded tables for client delivery.
- 5) Business system integration
Added proposal generation and pipeline tracking for audit → proposal → monthly delta reporting workflows.
Parallel specialization improves both speed and quality by allowing deeper analysis without sequential bottlenecks.
Weighted scoring makes prioritization explicit and auditable — critical for stakeholder alignment.
Visual systems diagrams
Placeholders for architecture maps, flows, governance models, and lifecycle diagrams.
Orchestrator launches five agents → aggregates results → outputs composite score and action plan.
A closed-loop delivery system for ongoing retainers and measurable progress.
Technology
Tools and systems involved.
- Claude (Anthropic)
- Claude Cowork
- Structured JSON outputs
- Parallel agent orchestration
- Python (data processing, report generation)
- ReportLab (PDF + visualizations)
- Schema.org / JSON-LD
- robots.txt and HTTP header analysis
- Web crawling and content analysis
- GEO scoring framework design
Outcome / Impact
The organizational and product-level effect.
- Built a GEO audit platform measuring dimensions traditional SEO tools ignore
- Enabled multi-dimension audits via single parallel execution
- Created an agency-ready system: audit → score → report → proposal → CRM → monthly deltas
- Demonstrated orchestration of specialized agents with composite synthesis
- Produced client-ready deliverables directly from raw audit outputs
Start with an AI Ops audit to identify high-ROI workflows, governance needs, and a pragmatic 30/60/90-day plan.
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