feat(market-intel): Optimize outreach quality and remove hallucination bias. Implemented context-sensitive technographics and strategic bridge prompting.

This commit is contained in:
2026-01-14 10:33:53 +00:00
parent 7ff927bf37
commit e74849c0cb
2 changed files with 78 additions and 34 deletions

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@@ -388,14 +388,29 @@ def analyze_company(company_name, strategy, target_market, language='de'):
scraping_note = "(No URL found)"
tech_evidence = []
known_incumbents = ["SAP Ariba", "Jaggaer", "Coupa", "SynerTrade", "Ivalua", "ServiceNow", "Salesforce", "Oracle SCM", "Zycus", "GEP", "SupplyOn", "EcoVadis", "IntegrityNext"]
half = len(known_incumbents) // 2
group1 = " OR ".join([f'"{inc}"' for inc in known_incumbents[:half]])
group2 = " OR ".join([f'"{inc}"' for inc in known_incumbents[half:]])
tech_queries = [f'"{company_name}" ({group1})', f'"{company_name}" ({group2})', f'"{company_name}" "supplier portal" login']
# NEU: Dynamische Suche basierend auf Strategie statt Hardcoded Liste
# Wir suchen NICHT mehr proaktiv nach SAP Ariba, es sei denn, es steht in der Strategie.
# Stattdessen machen wir eine generische "Tech Stack"-Suche.
tech_queries = [
f'site:{url.split("//")[-1].split("/")[0] if url and "//" in url else company_name} "software" OR "technology" OR "system"',
f'"{company_name}" "technology stack"',
f'"{company_name}" "partners"'
]
# Add explicit tech signals from strategy if they exist
signals = strategy.get('signals', [])
for signal in signals:
if "technographic" in signal.get('id', '').lower() or "incumbent" in signal.get('id', '').lower():
keywords = signal.get('targetPageKeywords', [])
for kw in keywords:
tech_queries.append(f'"{company_name}" "{kw}"')
# Deduplicate queries and limit
tech_queries = list(set(tech_queries))[:4]
for q in tech_queries:
results = serp_search(q, num_results=4)
results = serp_search(q, num_results=3)
if results:
for r in results:
tech_evidence.append(f"- Found: {r['title']}\n Snippet: {r['snippet']}\n Link: {r['link']}")
@@ -405,9 +420,10 @@ def analyze_company(company_name, strategy, target_market, language='de'):
firmographics_results = serp_search(f"{company_name} Umsatz Mitarbeiterzahl 2023")
firmographics_context = "\n".join([f"- {r['snippet']} ({r['link']})" for r in firmographics_results])
signals = strategy.get('signals', [])
for signal in signals:
if "incumbent" in signal['id'].lower() or "tech" in signal['id'].lower(): continue
# Skip technographic signals here as they are handled above or via generic search
if "incumbent" in signal['id'].lower() or "technographic" in signal['id'].lower(): continue
proof_strategy = signal.get('proofStrategy', {})
query_template = proof_strategy.get('searchQueryTemplate')
search_context = ""
@@ -432,8 +448,8 @@ def analyze_company(company_name, strategy, target_market, language='de'):
--- STRATEGY (What we are looking for) ---
{json.dumps(signals, indent=2)}
--- EVIDENCE 1: EXTERNAL TECH-STACK INTELLIGENCE (CRITICAL) ---
Look closely here for mentions of competitors like SAP Ariba, Jaggaer, SynerTrade, Coupa, etc.
--- EVIDENCE 1: EXTERNAL TECH-STACK INTELLIGENCE ---
Analyze the search results below. Do NOT hallucinate technologies. Only list what is explicitly found.
{tech_evidence_text}
--- EVIDENCE 2: HOMEPAGE CONTENT {scraping_note} ---
@@ -448,15 +464,16 @@ def analyze_company(company_name, strategy, target_market, language='de'):
TASK:
1. **Firmographics**: Estimate Revenue and Employees.
2. **Technographic Audit**: Look for specific competitor software or legacy systems mentioned in EVIDENCE 1 (e.g., "Partner of SynerTrade", "Login to Jaggaer Portal").
2. **Technographic Audit**: Check if any relevant competitor technology or legacy system is ACTUALLY found in the evidence.
- **CRITICAL:** If no specific competitor software is found, assume the status is "Greenfield" (Manual Process / Status Quo). Do NOT invent a competitor like SAP Ariba just because it's a common tool.
3. **Status**:
- Set to "Nutzt Wettbewerber" if ANY competitor technology is found.
- Set to "Greenfield" ONLY if absolutely no competitor tech is found.
- Set to "Nutzt Wettbewerber" ONLY if a direct competitor is explicitly found.
- Set to "Greenfield" if no competitor tech is found.
- Set to "Bestandskunde" if they already use our solution.
4. **Evaluate Signals**: For each signal, provide a "value" (Yes/No/Partial) and "proof".
5. **Recommendation (Pitch Strategy)**:
- If they use a competitor, explain how to position against it.
- If Greenfield, explain the entry point.
- If Greenfield: Pitch against the manual status quo (efficiency, error reduction).
- If Competitor: Pitch replacement/upgrade.
- **Tone**: Strategic, insider-knowledge, specific.
--- LANGUAGE INSTRUCTION ---
@@ -579,9 +596,14 @@ def generate_outreach_campaign(company_data_json, knowledge_base_content, refere
{task_description}
--- TONE & STYLE GUIDELINES (CRITICAL) ---
- **Perspective:** Operational Expert & Insider. NOT generic marketing.
- **Be Gritty & Specific:** Use hard, operational keywords from the Knowledge Base (e.g., "ASNs", "8D-Reports").
- **Language:** {lang_instruction}.
1. **Professional & Flowing:** Aim for approx. 500-600 characters per email. Use full sentences and professional courtesies. It should feel like a high-quality human message.
2. **Stance:** Act as an **astute industry observer** and peer consultant. You have analyzed their specific situation and identified a strategic bottleneck.
3. **The Opportunity Bridge (Email 1):** Bridge observation to a strategic solution immediately using concrete terms (e.g., "autonome Reinigungsrobotik").
4. **Context-Sensitive Technographics:** Only mention discovered IT or Procurement systems (e.g., SAP Ariba) if it is highly relevant to the **specific role** (e.g., for CEO, CFO, or Head of Procurement). For **purely operational roles** (e.g., Facility Manager, Head of Operations), AVOID mentioning these systems as it may cause confusion; focus entirely on the operational pain (labor shortage) and growth bottlenecks instead.
5. **Soft-Sell vs. Hard-Pitch:** Position technology as a logical answer to the bottleneck. Pitch the **outcome/capability**, not features.
6. **Social Proof as the Engine:** Let the Reference Client ({reference_url}) provide the evidence. Use a role-specific KPI.
7. **Operational Grit:** Use domain-specific terms (e.g., "ASNs", "8D", "TCO") to establish authority.
8. **Language:** {lang_instruction}.
{output_format}
"""