Added onboarding progress tracking & landing page
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ajaysi
@@ -71,9 +71,15 @@ class StyleDetectionLogic:
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social_media = content.get('social_media', {})
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content_structure = content.get('content_structure', {})
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# Construct the enhanced analysis prompt
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prompt = f"""Analyze the following website content for comprehensive writing style, tone, and characteristics.
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This is a detailed analysis for content personalization and AI-powered content generation.
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# Construct the enhanced analysis prompt (strict JSON, minified, stable keys)
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prompt = f"""Analyze the following website content for comprehensive writing style, tone, and characteristics for personalization and AI generation.
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RULES:
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- Return ONE single-line MINIFIED JSON object only. No markdown, code fences, comments, or prose.
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- Use EXACTLY the keys and ordering from the schema below. Do not add extra top-level keys.
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- For unknown/unavailable fields use empty string "" or empty array [] and explain in meta.uncertainty.
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- Keep text concise; avoid repeating input text.
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- Assume token budget; consider only first 5000 chars of main_content and first 10 headings.
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WEBSITE INFORMATION:
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- Domain: {domain_info.get('domain_name', 'Unknown')}
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@@ -91,10 +97,10 @@ class StyleDetectionLogic:
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- Has Call-to-Action: {content_structure.get('has_call_to_action', False)}
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CONTENT TO ANALYZE:
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Title: {title}
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Description: {description}
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Main Content: {main_content[:5000]} # Enhanced content length
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Key Headings: {headings[:10]} # First 10 headings for context
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- Title: {title}
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- Description: {description}
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- Main Content (truncated): {main_content[:5000]}
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- Key Headings (first 10): {headings[:10]}
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ANALYSIS REQUIREMENTS:
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1. Analyze the writing style, tone, and voice characteristics
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@@ -106,68 +112,38 @@ class StyleDetectionLogic:
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7. Consider the website type and industry context
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8. Analyze social media presence impact on content style
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IMPORTANT: Respond ONLY with a JSON object in the following format. Do not include any additional text, explanations, or markdown formatting:
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REQUIRED JSON SCHEMA (stable key order):
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{{
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"writing_style": {{
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"tone": "detailed tone description with context",
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"voice": "active/passive with explanation",
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"complexity": "simple/moderate/complex with reasoning",
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"engagement_level": "low/medium/high with justification",
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"brand_personality": "detailed brand personality analysis",
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"formality_level": "casual/semi-formal/formal/professional",
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"emotional_appeal": "rational/emotional/mixed with examples"
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}},
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"content_characteristics": {{
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"sentence_structure": "detailed analysis of sentence patterns",
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"vocabulary_level": "basic/intermediate/advanced with examples",
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"paragraph_organization": "detailed structure analysis",
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"content_flow": "detailed flow analysis",
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"readability_score": "estimated readability level",
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"content_density": "high/medium/low with reasoning",
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"visual_elements_usage": "analysis of how visual elements complement text"
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}},
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"target_audience": {{
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"demographics": ["detailed demographic analysis"],
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"expertise_level": "beginner/intermediate/advanced with reasoning",
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"industry_focus": "detailed industry analysis",
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"geographic_focus": "detailed geographic analysis",
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"psychographic_profile": "detailed psychographic analysis",
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"pain_points": ["identified audience pain points"],
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"motivations": ["identified audience motivations"]
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}},
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"content_type": {{
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"primary_type": "detailed content type analysis",
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"secondary_types": ["list of secondary content types"],
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"purpose": "detailed content purpose analysis",
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"call_to_action": "detailed CTA analysis",
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"conversion_focus": "high/medium/low with reasoning",
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"educational_value": "high/medium/low with reasoning"
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}},
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"brand_analysis": {{
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"brand_voice": "detailed brand voice analysis",
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"brand_values": ["identified brand values"],
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"brand_positioning": "detailed positioning analysis",
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"competitive_differentiation": "detailed differentiation analysis",
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"trust_signals": ["identified trust elements"],
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"authority_indicators": ["identified authority elements"]
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}},
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"content_strategy_insights": {{
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"strengths": ["content strengths"],
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"weaknesses": ["content weaknesses"],
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"opportunities": ["content opportunities"],
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"threats": ["content threats"],
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"recommended_improvements": ["specific improvement suggestions"],
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"content_gaps": ["identified content gaps"]
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}},
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"recommended_settings": {{
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"writing_tone": "recommended tone for AI generation",
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"target_audience": "recommended audience focus",
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"content_type": "recommended content type",
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"creativity_level": "low/medium/high with reasoning",
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"geographic_location": "recommended geographic focus",
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"industry_context": "recommended industry approach",
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"brand_alignment": "recommended brand alignment strategy"
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}}
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"writing_style": {{
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"tone": "", "voice": "", "complexity": "", "engagement_level": "",
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"brand_personality": "", "formality_level": "", "emotional_appeal": ""
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}},
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"content_characteristics": {{
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"sentence_structure": "", "vocabulary_level": "", "paragraph_organization": "",
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"content_flow": "", "readability_score": "", "content_density": "",
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"visual_elements_usage": ""
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}},
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"target_audience": {{
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"demographics": [], "expertise_level": "", "industry_focus": "", "geographic_focus": "",
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"psychographic_profile": "", "pain_points": [], "motivations": []
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}},
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"content_type": {{
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"primary_type": "", "secondary_types": [], "purpose": "", "call_to_action": "",
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"conversion_focus": "", "educational_value": ""
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}},
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"brand_analysis": {{
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"brand_voice": "", "brand_values": [], "brand_positioning": "", "competitive_differentiation": "",
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"trust_signals": [], "authority_indicators": []
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}},
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"content_strategy_insights": {{
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"strengths": [], "weaknesses": [], "opportunities": [], "threats": [],
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"recommended_improvements": [], "content_gaps": []
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}},
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"recommended_settings": {{
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"writing_tone": "", "target_audience": "", "content_type": "", "creativity_level": "",
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"geographic_location": "", "industry_context": "", "brand_alignment": ""
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}},
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"meta": {{"schema_version": "1.1", "confidence": 0.0, "notes": "", "uncertainty": {{"fields": []}}}}
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}}
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"""
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@@ -290,22 +266,25 @@ class StyleDetectionLogic:
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main_content = content.get("main_content", "")
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prompt = f"""Analyze the following content for recurring writing patterns and style characteristics.
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Focus on identifying patterns in sentence structure, vocabulary usage, and writing techniques.
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Content: {main_content[:3000]}
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IMPORTANT: Respond ONLY with a JSON object in the following format:
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prompt = f"""Analyze the content for recurring writing patterns and style characteristics.
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RULES:
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- Return ONE single-line MINIFIED JSON object only. No markdown, code fences, comments, or prose.
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- Use EXACTLY the keys and ordering from the schema below. No extra top-level keys.
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- If uncertain, set empty values and list field names in meta.uncertainty.fields.
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- Keep responses concise and avoid quoting long input spans.
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Content (truncated to 3000 chars): {main_content[:3000]}
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REQUIRED JSON SCHEMA (stable key order):
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{{
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"patterns": {{
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"sentence_length": "short/medium/long",
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"vocabulary_patterns": ["list of patterns"],
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"rhetorical_devices": ["list of devices used"],
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"paragraph_structure": "description",
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"transition_phrases": ["list of common transitions"]
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}},
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"style_consistency": "high/medium/low",
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"unique_elements": ["list of unique style elements"]
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"patterns": {{
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"sentence_length": "", "vocabulary_patterns": [], "rhetorical_devices": [],
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"paragraph_structure": "", "transition_phrases": []
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}},
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"style_consistency": "",
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"unique_elements": [],
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"meta": {{"schema_version": "1.1", "confidence": 0.0, "notes": "", "uncertainty": {{"fields": []}}}}
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}}
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"""
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@@ -352,7 +331,7 @@ class StyleDetectionLogic:
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brand_analysis = analysis_results.get('brand_analysis', {})
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content_strategy_insights = analysis_results.get('content_strategy_insights', {})
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prompt = f"""Based on the following comprehensive style analysis, generate detailed content creation guidelines for AI-powered content generation.
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prompt = f"""Generate actionable content creation guidelines based on the style analysis.
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ANALYSIS DATA:
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Writing Style: {writing_style}
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@@ -362,85 +341,31 @@ class StyleDetectionLogic:
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Content Strategy Insights: {content_strategy_insights}
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REQUIREMENTS:
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1. Create actionable guidelines for AI content generation
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2. Provide specific recommendations for maintaining brand voice
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3. Include strategies for audience engagement
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4. Address content gaps and opportunities
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5. Consider competitive positioning
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6. Provide technical writing recommendations
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7. Include SEO and conversion optimization tips
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8. Address content structure and formatting
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- Return ONE single-line MINIFIED JSON object only. No markdown, code fences, comments, or prose.
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- Use EXACTLY the keys and ordering from the schema below. No extra top-level keys.
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- Provide concise, implementation-ready bullets with an example for key items (e.g., tone and CTA examples).
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- Include negative guidance (what to avoid) tied to brand constraints where applicable.
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- If uncertain, set empty values and list field names in meta.uncertainty.fields.
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IMPORTANT: Respond ONLY with a JSON object in the following format:
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IMPORTANT: REQUIRED JSON SCHEMA (stable key order):
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{{
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"guidelines": {{
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"tone_recommendations": [
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"specific tone guidelines with examples",
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"brand voice consistency tips",
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"emotional appeal strategies"
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],
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"structure_guidelines": [
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"content structure recommendations",
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"formatting best practices",
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"organization strategies"
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],
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"vocabulary_suggestions": [
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"specific vocabulary recommendations",
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"industry terminology guidance",
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"language complexity advice"
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],
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"engagement_tips": [
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"audience engagement strategies",
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"interaction techniques",
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"conversion optimization tips"
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],
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"audience_considerations": [
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"specific audience targeting advice",
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"pain point addressing strategies",
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"motivation-based content tips"
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],
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"brand_alignment": [
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"brand voice consistency guidelines",
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"brand value integration tips",
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"competitive differentiation strategies"
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],
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"seo_optimization": [
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"keyword integration strategies",
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"content optimization tips",
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"search visibility recommendations"
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],
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"conversion_optimization": [
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"call-to-action strategies",
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"conversion funnel optimization",
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"lead generation techniques"
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]
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}},
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"best_practices": [
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"comprehensive best practices list",
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"industry-specific recommendations",
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"quality assurance guidelines"
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],
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"avoid_elements": [
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"elements to avoid with explanations",
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"common pitfalls to prevent",
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"brand-inappropriate content types"
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],
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"content_strategy": "comprehensive content strategy recommendation with specific action items",
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"ai_generation_tips": [
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"specific tips for AI content generation",
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"prompt optimization strategies",
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"quality control measures"
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],
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"competitive_advantages": [
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"identified competitive advantages",
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"differentiation strategies",
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"market positioning recommendations"
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],
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"content_calendar_suggestions": [
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"content frequency recommendations",
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"topic planning strategies",
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"seasonal content opportunities"
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]
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"guidelines": {{
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"tone_recommendations": [],
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"structure_guidelines": [],
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"vocabulary_suggestions": [],
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"engagement_tips": [],
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"audience_considerations": [],
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"brand_alignment": [],
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"seo_optimization": [],
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"conversion_optimization": []
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}},
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"best_practices": [],
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"avoid_elements": [],
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"content_strategy": "",
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"ai_generation_tips": [],
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"competitive_advantages": [],
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"content_calendar_suggestions": [],
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"meta": {{"schema_version": "1.1", "confidence": 0.0, "notes": "", "uncertainty": {{"fields": []}}}}
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}}
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"""
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