Most GEO guides start with a checklist: improve your brand definition, earn third-party mentions, add structured data, target niche prompts. That checklist isn’t wrong. But it’s incomplete — because it assumes every category works the same way. The data says otherwise. Across 10 software categories, concentration (Gini coefficient) ranges from 0.568 to 0.757 and the number of brands capturing 80% of AI recommendation weight ranges from 7 to 59. A strategy that works in Email Marketing (Gini 0.568) fails in CRM (Gini 0.757). Not because of execution quality — because of market structure. This playbook starts from the category, not the checklist. It provides specific 30-day and 90-day action plans for each of the three market types: Monopoly, Oligopoly, and Distributed. Before choosing what to do, determine where you are.Documentation Index
Fetch the complete documentation index at: https://decageo.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
Step 1: Diagnose your market type
Before reading any strategy section, answer these questions to classify your category.Self-diagnosis: 5 questions
Use the same prompt set each week and include generic, use-case, comparison, and segment-specific prompts. A narrow prompt set can make a category look more concentrated than it really is. Question 1: How many brands does AI recommend in your category? Send 10 different recommendation-seeking prompts to ChatGPT. Count the unique brands mentioned across all responses.- Fewer than 30 brands → likely Monopoly or Oligopoly
- 30–60 brands → likely Oligopoly or Distributed
- More than 60 brands → likely Distributed
- Same 3–5 brands dominate → Monopoly
- Same 5–10 brands appear frequently but order varies → Oligopoly
- Different brands appear depending on prompt → Distributed
- 20+ years (CRM, Help Desk) → likely Monopoly
- 5–15 years (SEO, Marketing Automation) → likely Oligopoly or Distributed
- Less than 5 years (GEO, AI-native categories) → likely Distributed
- Below 5% → strong Filter 1 barrier
- 5–10% → moderate Filter 1 barrier
- Above 10% → weak Filter 1 barrier
Market type reference
| Market type | Gini range | Categories | Key trait |
|---|---|---|---|
| Monopoly | 0.73 or above | CRM, Help Desk | Top 3 brands hold 45%+ of all DECA; fewer than 10 brands capture 80% |
| Oligopoly | 0.65–0.73 | Influencer Marketing, AI Image Generators, AI Writing, Project Management | Top 3 hold 30–45%; 10–15 brands capture 80% |
| Distributed | below 0.65 | Email Marketing, GEO, Marketing Automation, SEO | Top 3 hold less than 30%; 12+ brands needed for 80% |
Strategy A: Monopoly categories (Gini 0.73 or above)
Current examples: CRM (0.757), Help Desk (0.751) Structural reality: The top 3 brands hold 45–54% of all recommendation weight. Fewer than 10 brands capture 80%. Competing for generic recommendation slots has the lowest ROI of any market type.What NOT to do
- Don’t compete on generic prompts. HubSpot, Salesforce, and Microsoft Dynamics have deeply entrenched signal advantages on generic category queries.
- Don’t measure success by category rank. Moving from rank 25 to rank 20 in a Monopoly category produces no visible change in AI recommendations.
- Don’t copy the incumbents’ content strategy. Replicating their approach without their signal base produces a weak copy, not a competitive position.
30-day plan: Find your niches
Week 1–2: Niche identification Send 50 niche-specific prompts to AI:- “[Category] for [industry vertical]” (e.g., “CRM for real estate”)
- “[Category] for [company size]” (e.g., “help desk for teams under 10”)
- “[Category] with [specific feature]”
- “[Category] for [specific workflow]”
90-day plan: Build niche dominance
Month 2: Contribute guest content to niche-specific publications, request niche-specific reviews on G2, create or participate in niche-specific roundups. Month 3: Identify adjacent categories where your product has features. Begin building signal in more distributed adjacent categories. Monitor DECA Score changes in both primary and adjacent categories.Success metrics for Monopoly
| Metric | 30-day target | 90-day target |
|---|---|---|
| Niche prompts with brand appearance | 3–5 out of 50 tested | 10–15 out of 50 tested |
| DECA Score movement | Baseline established | +2–5 points |
| Niche-specific content pages | 9 (3 per niche) | 15+ across 5 niches |
| Third-party niche mentions | Audit complete | 10+ new niche-context mentions |
Strategy B: Oligopoly categories (Gini 0.65–0.73)
Current examples: Influencer Marketing (0.722), AI Image Generators (0.698), AI Writing Assistants (0.662), Project Management (0.654) Structural reality: The top 3 brands hold 30–45% of recommendation weight. There’s a visible tier structure: Tier 1 (top 3–5, appearing in most responses), Tier 2 (6–15, appearing in some), Tier 3 (16+, rarely appearing). The path to results runs through Tier 2 first.What NOT to do
- Don’t try to leapfrog directly to Tier 1. Build through Tier 2 first.
- Don’t ignore Tier 2 competitors. They’re your real competitors, not the Tier 1 incumbents.
- Don’t spread signal too thin. Pick 2–3 dimensions and concentrate signal there.
30-day plan: Establish Tier 2 position
Week 1–2: Competitive mapping Identify current Tier 1, 2, and 3 brands. For each Tier 1 brand, document what prompts trigger them and what positioning they own. Identify gaps between Tier 1 and Tier 2. Week 2–3: Brand definition sharpening Audit your brand’s description across website, G2, third-party mentions, and documentation. Identify inconsistencies. Create a canonical brand definition. Focus on one distinctive claim that no Tier 1 brand owns. Week 3–4: Comparison content Create comparison pages vs. each Tier 1 brand. Create “alternative to [Tier 1 brand]” content. Add FAQ schema, product schema, and structured data to all comparison pages.90-day plan: Move into upper Tier 2
Month 2: Generate 20+ third-party mentions. Create original research positioning your brand as an authority. Build “best [category] for [use case]” pages for 5–10 specific use cases. Month 3: Monitor DECA Score and adjust. Begin competing for generic category prompts from upper Tier 2. Build cross-platform presence (Perplexity, Claude, Gemini).Success metrics for Oligopoly
| Metric | 30-day target | 90-day target |
|---|---|---|
| Tier position | Baseline established | Move from Tier 3 to Tier 2, or lower to upper Tier 2 |
| DECA Score movement | Baseline established | +5–10 points |
| Generic prompt appearances | Count baseline | 2–3x baseline frequency |
| Brand definition consistency | Audit complete | All controllable sources aligned |
| Comparison content pages | 3–5 vs. Tier 1 | 10+ vs. Tier 1 and peer Tier 2 |
Strategy C: Distributed categories (Gini below 0.65)
Current examples: Email Marketing (0.568), GEO (0.572), Marketing Automation (0.601), SEO (0.632) Structural reality: The top 3 brands hold less than 30% of recommendation weight. The traditional GEO checklist works here — and works well. Speed matters most.What NOT to do
- Don’t go only niche. Generic prompts are viable here. Don’t leave the highest-value opportunities on the table.
- Don’t move slowly. Distributed categories are open windows, and open windows close.
- Don’t ignore the timeline. SEO (0.632) is closest to the Oligopoly threshold. Marketing Automation (0.601) is next.
30-day plan: Aggressive signal foundation
Week 1: Full signal audit Test 20+ generic and niche prompts to establish your baseline. Audit brand definition consistency across all sources. Count current third-party mentions. Week 1–2: Brand definition alignment Create canonical brand definition. Update website, G2, documentation, and social profiles within the first week. Ensure consistency across all touchpoints. Week 2–3: Content blitz Create comparison pages vs. every top-10 brand. Build use-case landing pages for 10+ target prompts. Add FAQ schema, product schema, and organization schema. Create a comprehensive “What is [category]?” resource page. Week 3–4: Third-party signal push Initiate review campaign on G2. Publish 5+ third-party articles mentioning your brand. Engage in category-level discussions on community platforms.90-day plan: Capture position before window closes
Month 2: Double down on highest-ROI activities from Month 1. Expand from 10 to 30+ target prompts. Create monthly original research. Month 3: Build comparison content against emerging competitors. Establish multi-platform presence. Build ongoing signal generation processes for after the window narrows.Success metrics for Distributed
| Metric | 30-day target | 90-day target |
|---|---|---|
| DECA Score movement | +3–5 points | +10–15 points |
| Generic prompt appearances | Establish baseline, increase 1.5x | 3–5x baseline |
| Brand definition consistency | All sources aligned | Maintain 100% alignment |
| Comparison content pages | 10 vs. top 10 | 20+ including emerging competitors |
| Third-party mentions (new) | 5+ | 25+ |
Cross-cutting principles
1. Measure before you act. Every strategy starts with baseline measurement. Invest the first week in measurement, not action. 2. Signal consistency beats signal volume. Ten mentions that describe your product consistently are more valuable than fifty with inconsistent descriptions. 3. Monitor weekly, adjust monthly. AI recommendation patterns shift. Weekly DECA monitoring enables timely adjustments.Quick reference: strategy by market type
| Dimension | Monopoly | Oligopoly | Distributed |
|---|---|---|---|
| Primary target | Niche prompts | Tier 2 position → Tier 1 | Generic prompts + niche expansion |
| Highest ROI activity | Niche signal building | Brand definition consistency | Full checklist execution |
| Speed priority | Patient (6+ months) | Moderate (3–6 months) | Urgent (30–90 days) |
| Competitive focus | Avoid Tier 1 direct competition | Outcompete Tier 2 peers | Outpace all before window closes |
| Success measure | Niche prompt appearances | Tier movement | DECA Score growth rate |
Key takeaway: GEO strategy should be determined by category structure, not by a universal checklist. Monopoly categories require niche-first approaches with patient timelines. Oligopoly categories reward brand definition consistency and systematic tier climbing. Distributed categories offer the highest ROI for standard GEO efforts but require speed because the window of openness is closing. Diagnose your market type first — then choose the corresponding playbook.
Methodology
Data source: DecaGEO AI recommendation tracking. Hundreds of recommendation-seeking prompts sent to ChatGPT (GPT-5.4) weekly, US region. Data from the week of May 17, 2026. Market type classification: Monopoly = Gini 0.73 or above; Oligopoly = Gini 0.65–0.73; Distributed = Gini below 0.65. Strategy recommendations: Based on structural analysis of DECA Score distributions and competitive dynamics observed in tracking data. Not validated through controlled experiments. Success metrics: Target ranges are directional estimates. Actual results depend on brand-specific factors and AI model updates. Limitations: Strategies are framework-level, not brand-specific. Data reflects one AI platform (ChatGPT) in one region (US).FAQ
Which market type should I target if my product spans multiple categories?
Which market type should I target if my product spans multiple categories?
Invest GEO effort in the most distributed category where your product has genuine relevance. A CRM with email marketing features should build signal in Email Marketing (Gini 0.568) before fighting in CRM (Gini 0.757). Cross-category signal can influence how AI understands your broader relevance over time.
How often should I re-diagnose my market type?
How often should I re-diagnose my market type?
Re-check quarterly. Gini coefficients shift as AI accumulates signal. A Distributed category like SEO (0.632) can cross into Oligopoly territory within months. When your category’s market type changes, your strategy should change with it.
Can I use this playbook for AI platforms other than ChatGPT?
Can I use this playbook for AI platforms other than ChatGPT?
The structural principles apply broadly, but the specific concentration data is from ChatGPT (GPT-5.4, US region). Apply the self-diagnosis questions to each platform separately if targeting multiple AI platforms.
What if my category isn't one of the 10 tracked by DecaGEO?
What if my category isn't one of the 10 tracked by DecaGEO?
Use the self-diagnosis questions to estimate your market type. Send 10–20 prompts to AI, count unique recommended brands, observe concentration, and compare against the reference table.
How do I know if my GEO efforts are working?
How do I know if my GEO efforts are working?
Track DECA Score weekly, or manually track AI recommendation frequency by sending the same prompts weekly. Match your measurement to your market type: niche appearances for Monopoly, tier movement for Oligopoly, DECA growth for Distributed.
What is the biggest mistake teams make with category-first GEO?
What is the biggest mistake teams make with category-first GEO?
Applying the Distributed playbook in a Monopoly market. Teams chase generic prompts and expect fast rank movement, then conclude GEO doesn’t work. The second most common mistake is moving too slowly in a Distributed category, missing the window before concentration increases.
Who should own the category-first GEO playbook?
Who should own the category-first GEO playbook?
Market diagnosis should be shared across marketing, SEO, content, and PR. Content owns brand definition and comparison pages. SEO owns structured data. PR owns third-party mentions. Product marketing owns positioning. Category type determines which team’s work should be prioritized first.
When should I change from one playbook to another?
When should I change from one playbook to another?
Change when your category structure or brand position changes. Re-diagnose quarterly and adjust when concentration, AI Visibility Rate, or prompt appearance pattern changes meaningfully.
Sources
- DecaGEO AI recommendation tracking data, week of May 17, 2026. ChatGPT (GPT-5.4), US region.
- G2.com category listing counts, retrieved May 19, 2026.
- DecaGEO, “Two Filters, One Invisible Wall,” May 2026.
- DecaGEO, “Same GEO Playbook, 2x Different Results,” May 2026.
- DecaGEO, “4 Categories Where the AI Recommendation Window Is Still Open,” May 2026.
- DecaGEO, “AI Visibility Rate: Why AI Ignores Most Software,” May 2026.