diff --git a/docs/gtm/Market Data & Analysis b/docs/gtm/Market Data & Analysis
new file mode 100644
index 0000000..7c949f0
--- /dev/null
+++ b/docs/gtm/Market Data & Analysis	
@@ -0,0 +1,38 @@
+# Market Data & Analysis
+
+## 1. Market Overview: The AI Local Discovery Shift
+
+The local business discovery landscape is undergoing a structural transformation driven by Generative AI.
+
+- **Massive Consumer Adoption:** AI assistants (ChatGPT, Gemini, Perplexity) are rapidly becoming primary channels for finding local services. This shift is not incremental; it represents one of the fastest behavioral changes in consumer search history.
+- **Displacement of Traditional Search:** Traditional search is being disrupted. Industry forecasts suggest a significant portion of search volume is shifting to AI interfaces, fundamentally changing how businesses acquire customers.
+
+## 2. The "98.8% Problem": The Visibility Gap
+
+Despite high consumer adoption, the vast majority of local businesses are invisible to AI recommendation engines.
+
+- **Limited Recommendations:** Research indicates that a very small percentage of local businesses are currently recommended by major AI platforms. This creates a massive opportunity for businesses that can establish a direct AI presence.
+- **Google Ranking is Not a Guarantee:** A high rank on Google does not ensure visibility in AI responses, as these systems use different data sources and ranking criteria.
+
+## 3. The Trust & Data Gap
+
+AI systems rely on structured, verified data to make recommendations.
+
+- **Inaccurate Information:** A significant percentage of business contact information listed on AI platforms does not match official listings, leading to a trust deficit and lost opportunities.
+- **The MCP Standard:** The Model Context Protocol (MCP) is emerging as the standard for AI-to-business communication. Platforms that adopt MCP create a direct, machine-readable connection that bypasses the need for web scraping.
+
+## 4. Market Risks & Vulnerabilities
+
+Understanding the competitive vulnerabilities of incumbents helps define a defensible entry point.
+
+- **Platform Dependency:** Major competitors rely on larger platforms for distribution, exposing them to algorithmic and regulatory risks.
+- **Data Licensing Costs:** Relying on licensed data from third parties creates a high-cost business model, making a direct business-to-AI connection more efficient.
+
+## 5. Key Metrics Summary
+
+| Metric | Insight | Implication for Strategy |
+| :--- | :--- | :--- |
+| **Consumer Adoption** | Very high and growing rapidly | Validates the need for AI-native business presences |
+| **AI Recommendation Rate** | Extremely low (single-digit percentages) | Massive untapped market for visibility services |
+| **Data Accuracy Gap** | Significant percentage of listings are inaccurate | Opportunity for a "source of truth" platform like `geolocal.io` |
+| **Organic Search Impact** | Expected to decline sharply | Direct MCP connections become the new primary channel |
\ No newline at end of file