Demystifying the GEO Process
Most businesses considering a GEO programme have a clear understanding of what they want — AI visibility, citations, leads — but very little visibility into how the work actually happens. Unlike traditional SEO, where the activities (keyword research, on-page optimisation, link building) are well understood, GEO remains a black box for most buyers.
According to MarGen’s 2026 client survey, 72% of businesses that abandoned a GEO programme within six months cited “lack of visibility into the process” as a primary reason. Not lack of results — lack of understanding of what was being done and why.
This article opens the black box. Here is exactly what a well-structured GEO programme looks like, week by week, for the first 16 weeks — the period that determines whether a programme succeeds or fails.
The 16-Week Programme Overview
| Phase | Weeks | Focus | Key Deliverables |
|---|---|---|---|
| Discovery & Audit | 1-2 | Understanding your current AI visibility | Citation audit, entity map, competitor analysis |
| Entity Mapping | 3-4 | Building the foundation AI models need | Structured data, entity signals, knowledge graph |
| Content Architecture | 5-6 | Planning the content that drives citations | Prompt cluster research, content briefs, editorial calendar |
| Content Deployment Wave 1 | 7-10 | Publishing high-priority authority content | 8-12 published pieces targeting top prompt clusters |
| Authority Amplification | 11-14 | Building the signals that accelerate citation | Backlinks, PR, cross-platform authority building |
| Optimisation & Scale | 15-16 | Refining based on data, planning next quarter | Performance review, strategy refinement, scaling plan |
Weeks 1-2: Discovery and Audit
Week 1: AI Citation Audit
The programme begins with measurement. You cannot improve what you have not quantified.
Day 1-3: Platform-by-platform citation analysis
Your GEO team runs your brand, key individuals, and core service offerings through every major AI platform — ChatGPT (GPT-4o and GPT-4.5), Perplexity, Google AI Overviews, Claude, and Gemini. For each platform, they test 50-100 queries representing your target market’s actual search behaviour.
Day 3-5: Citation scoring and classification
Every citation is classified by type (direct recommendation, mention, comparison, negative), accuracy (correct, partially correct, incorrect, hallucinated), and commercial value (high-intent buying query, informational, navigational).
Typical audit output:
| Metric | What Is Measured | Why It Matters |
|---|---|---|
| Citation frequency | Citations per 100 target queries | Baseline visibility measure |
| Citation accuracy | % of citations that are factually correct | Compliance and trust measure |
| Platform coverage | Number of AI platforms citing you | Reach and resilience measure |
| Competitor citation share | Your citations vs. competitors | Competitive position measure |
| Entity recognition | How AI models describe your brand | Foundation health measure |
Week 2: Competitor Analysis and Strategic Briefing
Day 6-8: Competitor deep dive
The team analyses your top 5-8 competitors using the same methodology. The goal is to understand not just who is being cited, but why — what content, what entity signals, what structural advantages are driving their citations.
Day 8-10: Strategic briefing
You receive a comprehensive briefing document covering current state, competitive position, opportunities, and a prioritised 16-week roadmap. This is a working session, not a presentation — expect questions, challenges, and collaborative planning.
Weeks 3-4: Entity Mapping and Foundation
Week 3: Entity Signal Architecture
Entity mapping is the most technically demanding phase of a GEO programme. AI models do not understand your business the way Google’s traditional search does. They build entity graphs — networks of relationships between people, organisations, services, credentials, and topics.
Activities:
- Map all brand entities (company, subsidiaries, divisions)
- Map individual entities (key professionals, their qualifications, their published work)
- Map service entities (what you offer, how it connects to client needs)
- Map credential entities (regulatory authorisations, professional memberships, certifications)
- Identify entity gaps — where AI models have incomplete or incorrect understanding
Week 4: Structured Data and Signal Deployment
Activities:
- Implement Organisation schema markup with comprehensive properties
- Implement Person schema for key individuals with credentials and expertise
- Deploy FAQPage, HowTo, and Service schema where appropriate
- Create or optimise llms.txt file for AI crawler guidance
- Review and optimise robots.txt for AI crawler access
- Submit structured data for validation and indexing
- Begin knowledge graph optimisation (Google Knowledge Panel, Wikidata where appropriate)
Week 4 deliverable: Technical implementation report showing all entity signals deployed, validation status, and expected impact timeline.
Weeks 5-6: Content Architecture
Week 5: Prompt Cluster Research
Prompt cluster research is the GEO equivalent of keyword research — but fundamentally different in methodology. Instead of identifying search terms, you are identifying the questions and contexts in which AI models generate answers relevant to your market.
Activities:
- Identify 30-50 high-value prompt clusters for your sector
- Classify by intent (informational, commercial, transactional)
- Map current citation coverage against each cluster
- Prioritise by commercial value and competitive opportunity
- Cross-reference with existing content to identify gaps and optimisation opportunities
Week 6: Content Brief Creation and Editorial Calendar
Activities:
- Create detailed content briefs for Wave 1 (8-12 pieces)
- Each brief includes: target prompt cluster, desired citation outcome, key entities to reference, compliance requirements, structural guidelines
- Build 12-week editorial calendar covering Waves 1 and 2
- Client review and approval of briefs and calendar
Week 6 deliverable: Approved editorial calendar with detailed briefs for all Wave 1 content.
| Content Type | Typical Count (Wave 1) | Purpose | Target Citation Outcome |
|---|---|---|---|
| Pillar authority pages | 2-3 | Establish topical authority | Category-level citations |
| Expert analysis pieces | 3-4 | Demonstrate expertise depth | Query-specific citations |
| Data-driven guides | 2-3 | Provide citable statistics | Factual reference citations |
| FAQ/structured content | 1-2 | Answer specific prompt clusters | Direct answer citations |
Weeks 7-10: Content Deployment Wave 1
Week 7-8: Content Production
Activities:
- Write, review, and publish first 4-6 content pieces
- Each piece follows GEO-optimised structure: clear entity references, structured data markup, authoritative sourcing, citation-friendly formatting
- Compliance review for regulated sector content
- Internal linking architecture connecting new content to existing authority pages
Week 9-10: Content Production (continued) and First Measurement
Activities:
- Publish remaining 4-6 Wave 1 pieces
- Begin monitoring for new citations from Wave 1 content
- First citation velocity measurement — are new pieces generating citations faster than baseline?
- Identify early wins and underperformers
- Adjust Wave 2 briefs based on Wave 1 data
Week 10 deliverable: Wave 1 completion report showing all published content, initial citation impact, and Wave 2 adjustments.
Weeks 11-14: Authority Amplification
Week 11-12: Backlink and Authority Building
Content alone does not drive AI citations. AI models weight authority signals — and those signals come from external validation.
Activities:
- Targeted outreach for authoritative backlinks to Wave 1 content
- Digital PR for thought leadership placement in trade and sector publications
- Expert commentary placement in relevant industry media
- Professional directory and membership profile optimisation
- Cross-platform authority signals (LinkedIn articles, industry forum contributions, podcast appearances)
Week 13-14: Wave 2 Content and Cross-Platform Expansion
Activities:
- Begin Wave 2 content production (6-10 additional pieces)
- Focus on prompt clusters identified as high-opportunity during Wave 1 monitoring
- Expand cross-platform presence — ensure content is discoverable by all major AI crawlers
- Implement citation correction protocols for any hallucinated or inaccurate citations detected
Week 14 deliverable: Mid-programme performance report covering all metrics, competitive movement, and strategic recommendations for months four through six.
Weeks 15-16: Optimisation and Scale
Week 15: Performance Deep Dive
Activities:
- Comprehensive citation audit (repeat of Week 1 methodology for direct comparison)
- ROI modelling — AI-referred traffic, lead attribution, pipeline contribution
- Content performance analysis — which pieces drive the most citations and why
- Competitive position update — have you gained ground, and where
Week 16: Strategic Planning
Activities:
- 90-day review session with client stakeholders
- Present results against baseline with clear trend data
- Develop months 4-6 strategy based on performance data
- Scale recommendations: increase investment, maintain, or refocus
- Set targets for next quarter
Week 16 deliverable: Quarterly review document with performance data, strategic recommendations, and updated 12-month roadmap.
The Week-by-Week Summary Table
| Week | Primary Activity | Client Time Required | Key Milestone |
|---|---|---|---|
| 1 | AI citation audit | 2-3 hours (briefing) | Baseline established |
| 2 | Competitor analysis + strategic briefing | 3-4 hours (working session) | Strategy approved |
| 3 | Entity mapping | 1-2 hours (review) | Entity map complete |
| 4 | Structured data deployment | 1 hour (approval) | Technical foundation live |
| 5 | Prompt cluster research | 1-2 hours (review) | Target clusters identified |
| 6 | Content briefs + calendar | 2-3 hours (review and approval) | Editorial calendar approved |
| 7 | Content Wave 1 begins | 1-2 hours (review drafts) | First pieces published |
| 8 | Content Wave 1 continues | 1-2 hours (review drafts) | 4-6 pieces live |
| 9 | Content Wave 1 completes | 1-2 hours (review drafts) | 8-12 pieces live |
| 10 | First measurement cycle | 1 hour (review report) | Initial citation uplift measured |
| 11 | Authority building begins | 1 hour (approve outreach) | Backlink campaign active |
| 12 | Authority building continues | 30 minutes (status update) | External validation growing |
| 13 | Content Wave 2 begins | 1-2 hours (review briefs) | Wave 2 production starts |
| 14 | Mid-programme review | 2-3 hours (working session) | Performance report delivered |
| 15 | Performance deep dive | 1 hour (review data) | 90-day comparison complete |
| 16 | Strategic planning | 3-4 hours (planning session) | Next quarter roadmap set |
What This Means For Your Time
A well-run GEO programme requires approximately 4-6 hours of client time per month — concentrated in review sessions and approval workflows. The agency does the heavy lifting. Your role is strategic oversight, compliance approval, and subject matter input.
If an agency is asking for significantly more of your time, they may be outsourcing work that should be theirs. If they are asking for significantly less, they may not be involving you in decisions that affect your compliance posture.
Start With the Audit
Every programme begins with understanding where you are today. Request a free AI citation audit and see exactly what a GEO programme would address for your business — before committing to a single week of work.