diff --git a/market_intel_orchestrator.py b/market_intel_orchestrator.py
index c771ed06..c8fe985c 100644
--- a/market_intel_orchestrator.py
+++ b/market_intel_orchestrator.py
@@ -175,26 +175,28 @@ def generate_search_strategy(reference_url, context_content):
     prompt = f"""
     You are a B2B Market Intelligence Architect.
     
-    --- STRATEGIC CONTEXT ---
+    --- ROLE DEFINITION ---
+    You are working for the company described in the "STRATEGIC CONTEXT" below (The "Hunter").
+    Your goal is to find new potential customers who look exactly like the "REFERENCE CLIENT" described below (The "Seed" / "Prey").
+
+    --- STRATEGIC CONTEXT (YOUR COMPANY / THE OFFER) ---
     {context_content}
 
-    --- EXTRACTED TARGET INDUSTRIES ---
-    {', '.join(target_industries)}
-
-    --- REFERENCE CLIENT HOMEPAGE ---
-    {homepage_text[:10000] if homepage_text else "No Homepage Text"}
+    --- REFERENCE CLIENT HOMEPAGE (THE IDEAL CUSTOMER TO CLONE) ---
+    URL: {reference_url}
+    CONTENT: {homepage_text[:10000] if homepage_text else "No Homepage Text"}
 
     --- TASK ---
-    Based on the context and the reference client's homepage, develop a search strategy to find similar companies (competitors/lookalikes) and audit them to find sales triggers.
+    Develop a search strategy to find **Lookalikes of the Reference Client** who would be interested in **Your Company's Offer**.
 
-    1. **summaryOfOffer**: A 1-sentence summary of what the reference client sells.
-    2. **idealCustomerProfile**: A concise definition of the Ideal Customer Profile (ICP) based on the reference client.
+    1. **summaryOfOffer**: A 1-sentence summary of what the **REFERENCE CLIENT** does (NOT what your company does). We need this to search for similar companies.
+    2. **idealCustomerProfile**: A concise definition of the Ideal Customer Profile (ICP) based on the Reference Client's characteristics.
     3. **searchStrategyICP**: A detailed description of the Ideal Customer Profile (ICP) based on the analysis.
-    4. **digitalSignals**: Identification and description of relevant digital signals that indicate purchase interest or engagement.
+    4. **digitalSignals**: Identification and description of relevant digital signals that indicate purchase interest or engagement for YOUR offer.
     5. **targetPages**: A list of the most important target pages on the company website relevant for marketing and sales activities.
-    6. **signals**: Identify exactly 4 specific digital signals.
-       - **CRITICAL**: One signal MUST be "Technographic / Incumbent Search". It must look for existing competitor software or legacy systems that our offer replaces or complements (e.g., "Uses SAP Ariba", "Has Supplier Portal", "Uses Salesforce").
-       - The other 3 signals should focus on business pains or strategic fit (e.g., "Sustainability Report", "Supply Chain Complexity").
+    6. **signals**: Identify exactly 4 specific digital signals to check on potential lookalikes.
+       - **CRITICAL**: One signal MUST be "Technographic / Incumbent Search". It must look for existing competitor software or legacy systems that **YOUR COMPANY'S OFFER** replaces or complements.
+       - The other 3 signals should focus on business pains or strategic fit.
 
     --- SIGNAL DEFINITION ---
     For EACH signal, you MUST provide:
@@ -210,30 +212,17 @@ def generate_search_strategy(reference_url, context_content):
     --- OUTPUT FORMAT ---
     Return ONLY a valid JSON object.
     {{
-      "summaryOfOffer": "...",
+      "summaryOfOffer": "The Reference Client provides...",
       "idealCustomerProfile": "...",
       "searchStrategyICP": "...",
       "digitalSignals": "...",
       "targetPages": "...",
-      "signals": [
-        {{
-          "id": "sig_1",
-          "name": "...",
-          "description": "...",
-          "targetPageKeywords": ["..."],
-          "proofStrategy": {{
-             "likelySource": "...",
-             "searchQueryTemplate": "..."
-          }}
-        }},
-        ...
-      ]
+      "signals": [ ... ]
     }}
     """
     
     payload = {"contents": [{"parts": [{"text": prompt}]}]}
     logger.info("Sende Anfrage an Gemini API...")
-    # logger.debug(f"Rohe Gemini API-Anfrage (JSON): {json.dumps(payload, indent=2)}")
     try:
         response = requests.post(GEMINI_API_URL, json=payload, headers={'Content-Type': 'application/json'})
         response.raise_for_status()
@@ -241,6 +230,10 @@ def generate_search_strategy(reference_url, context_content):
         logger.info(f"Gemini API-Antwort erhalten (Status: {response.status_code}).")
         
         text = res_json['candidates'][0]['content']['parts'][0]['text']
+        
+        # DEBUG LOGGING FOR RAW JSON
+        logger.error(f"RAW GEMINI JSON RESPONSE: {text}") 
+
         result = _extract_json_from_text(text)
         
         if not result:
@@ -270,12 +263,15 @@ def identify_competitors(reference_url, target_market, industries, summary_of_of
     You are a B2B Market Analyst. Find 3-5 direct competitors or highly similar companies (lookalikes) for the company at `{reference_url}`.
 
     --- CONTEXT ---
-    - Offer: {summary_of_offer}
+    - Reference Client Business (What they do): {summary_of_offer}
     - Target Market: {target_market}
     - Relevant Industries: {', '.join(industries)}
 
     --- TASK ---
-    Identify competitors and categorize them into three groups:
+    Identify companies that are **similar to the Reference Client** (i.e., Lookalikes).
+    We are looking for other companies that do the same thing as `{reference_url}`.
+
+    Categorize them into three groups:
     1. 'localCompetitors': Competitors in the same immediate region/city.
     2. 'nationalCompetitors': Competitors operating across the same country.
     3. 'internationalCompetitors': Global players.