GEO Optimizer (Generative Engine Optimization)

Overview

GEO gets your brand cited, recommended, and surfaced by AI search engines (ChatGPT, Perplexity, Gemini, Google AI Overviews). At $1M-5M ARR, most competitors have not started optimizing for AI citation, making this a compounding first-mover opportunity.

When to Use

• Brand does not appear when prospects ask AI tools about your category
• Competitors are cited by AI engines but you are not
• AI models describe your product inaccurately or negatively
• No AI visibility audit has been conducted
• Content is not structured for AI extraction and citation
• Technical infrastructure blocks AI crawlers (robots.txt, missing schema, no llms.txt)
• No original research exists for defensible citation

Don't use when: You have no content foundation or positioning in place. Build those first.

Quick Reference

Phase	Duration	Output
AI visibility audit	Day 1-2	Baseline scorecard across 4 AI platforms
GEO content strategy	Day 3-5	Prioritized content plan optimized for AI citation
Earned media strategy	Day 6-8	Third-party mention plan with outreach calendar
Technical GEO implementation	Day 9-10	llms.txt, schema markup, crawler access config
Original research strategy	Day 11-13	Signature research initiative with distribution plan
Monitoring and optimization	Ongoing	Monthly dashboard with competitive AI share of voice

Core Deliverables

• AI Visibility Scorecard -- Query-by-query analysis across four AI platforms
• GEO Content Plan -- Content ranked by citation potential with per-page optimization checklists
• Earned Media Plan -- Tiered source strategy (review platforms, media, communities, experts)
• Technical GEO Checklist -- llms.txt, schema markup, crawler access, site architecture
• Original Research Plan -- Signature annual research asset for defensible citation
• AI Visibility Dashboard -- Monthly citation rate, accuracy, and competitive share of voice

Common Mistakes

• Treating GEO as separate from SEO (76% overlap in cited content)
• Optimizing only your own site when AI models weight third-party sources more heavily
• Blocking AI crawlers in robots.txt
• Creating thin content instead of definitive in-depth guides
• Ignoring inaccurate AI citations that compound in training data
• Skipping community presence (Reddit threads heavily indexed by Perplexity)
• Waiting while competitors build compounding citation equity

Integration

Feeds into: reducing-cac, accelerating-pipeline, tracking-marketing-metrics

Refresh: Full audit monthly. Technical audit quarterly. Earned media outreach continuous. Original research annually. Strategy overhaul every 6 months.

See workflow.md for detailed phase-by-phase execution, AI platform comparison matrix, content engineering checklists, earned media playbooks, technical implementation guides, and monitoring dashboard design.