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[GH-ISSUE #270] [FEATURE] Exa similar search for competitor analysis. #526

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opened 2026-03-13 20:46:50 +03:00 by kerem · 2 comments

kerem commented

2026-03-13 20:46:50 +03:00

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Originally created by @AJaySi on GitHub (Sep 30, 2025).
Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/270

Originally assigned to: @AJaySi on GitHub.

Use Exa Similar search for finding competitors for a given URL. This is useful for competitor analysis and taking inspiration from their marketing efforts.

Originally created by @AJaySi on GitHub (Sep 30, 2025). Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/270 Originally assigned to: @AJaySi on GitHub. Use Exa Similar search for finding competitors for a given URL. This is useful for competitor analysis and taking inspiration from their marketing efforts.

kerem

2026-03-13 20:46:50 +03:00

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kerem commented

2026-03-13 20:47:08 +03:00

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@AJaySi commented on GitHub (Sep 30, 2025):

Competitor Analysis & Sitemap Analysis Plan for ALwrity Onboarding

Overview

This document outlines the implementation plan for Phase 1 of Step 4 onboarding, focusing on competitor analysis using the Exa API and enhanced sitemap analysis. This approach provides comprehensive competitive intelligence while optimizing API usage and costs.

1. Exa API Integration for Competitor Discovery

1.1 Exa API Analysis

Based on the Exa API documentation, the findSimilar endpoint is perfectly suited for competitor discovery:

Key Features for Competitor Analysis

Neural Search: Uses AI to find semantically similar content (up to 100 results)
Content Analysis: Provides summaries, highlights, and full text
Domain Filtering: Can include/exclude specific domains
Date Filtering: Filter by published/crawl dates
Cost Effective: $0.005 for 1-25 results, $0.025 for 26-100 results

Optimal API Configuration for Competitor Discovery

{
  "url": "https://user-website.com",
  "numResults": 25,
  "contents": {
    "text": true,
    "summary": {
      "query": "Business model, target audience, content strategy"
    },
    "highlights": {
      "numSentences": 2,
      "highlightsPerUrl": 3,
      "query": "Unique value proposition, competitive advantages"
    }
  },
  "context": true,
  "moderation": true
}

1.2 Competitor Discovery Strategy

Phase 1: Initial Competitor Discovery

async def discover_competitors(user_url: str, industry: str = None) -> Dict[str, Any]:
    """
    Discover competitors using Exa API findSimilar endpoint
    """
    # Primary competitor search
    primary_competitors = await exa.find_similar_and_contents(
        url=user_url,
        num_results=15,
        contents={
            "text": True,
            "summary": {
                "query": f"Business model, target audience, content strategy in {industry or 'this industry'}"
            },
            "highlights": {
                "numSentences": 2,
                "highlightsPerUrl": 3,
                "query": "Unique value proposition, competitive advantages, market position"
            }
        },
        context=True,
        moderation=True
    )
    
    # Enhanced competitor search with domain filtering
    enhanced_competitors = await exa.find_similar_and_contents(
        url=user_url,
        num_results=10,
        exclude_domains=[extract_domain(user_url)],  # Exclude user's domain
        contents={
            "text": True,
            "summary": {
                "query": "Content strategy, SEO approach, marketing tactics"
            }
        }
    )
    
    return {
        "primary_competitors": primary_competitors,
        "enhanced_competitors": enhanced_competitors,
        "total_competitors": len(primary_competitors.results) + len(enhanced_competitors.results)
    }

Phase 2: Competitor Analysis Enhancement

async def analyze_competitor_content(competitor_urls: List[str]) -> Dict[str, Any]:
    """
    Deep dive analysis of discovered competitors
    """
    competitor_analyses = []
    
    for competitor_url in competitor_urls[:10]:  # Limit to top 10 competitors
        # Get competitor's sitemap for structure analysis
        sitemap_analysis = await analyze_sitemap(f"{competitor_url}/sitemap.xml")
        
        # Get competitor's content strategy insights
        content_analysis = await exa.find_similar_and_contents(
            url=competitor_url,
            num_results=5,
            contents={
                "text": True,
                "summary": {
                    "query": "Content strategy, target keywords, audience engagement"
                }
            }
        )
        
        competitor_analyses.append({
            "url": competitor_url,
            "sitemap_analysis": sitemap_analysis,
            "content_insights": content_analysis,
            "competitive_score": calculate_competitive_score(sitemap_analysis, content_analysis)
        })
    
    return competitor_analyses

2. Enhanced Sitemap Analysis Integration

2.1 Current Sitemap Service Enhancement

The existing SitemapService will be enhanced to support competitive benchmarking:

Enhanced Sitemap Analysis with Competitive Context

async def analyze_sitemap_with_competitive_context(
    user_sitemap_url: str,
    competitor_data: Dict[str, Any],
    industry: str = None
) -> Dict[str, Any]:
    """
    Enhanced sitemap analysis with competitive benchmarking
    """
    # Get user's sitemap analysis
    user_analysis = await sitemap_service.analyze_sitemap(
        user_sitemap_url,
        analyze_content_trends=True,
        analyze_publishing_patterns=True
    )
    
    # Extract competitive benchmarks
    competitor_benchmarks = extract_competitive_benchmarks(competitor_data)
    
    # Generate AI insights with competitive context
    competitive_insights = await generate_competitive_sitemap_insights(
        user_analysis, competitor_benchmarks, industry
    )
    
    return {
        "user_sitemap_analysis": user_analysis,
        "competitive_benchmarks": competitor_benchmarks,
        "competitive_insights": competitive_insights,
        "market_positioning": calculate_market_positioning(user_analysis, competitor_benchmarks)
    }

2.2 Competitive Benchmarking Metrics

Key Metrics for Competitive Analysis

{
  "competitive_benchmarks": {
    "content_volume": {
      "user_total_urls": 1250,
      "competitor_average": 2100,
      "market_leader": 4500,
      "user_position": "below_average",
      "opportunity_score": 75
    },
    "publishing_velocity": {
      "user_velocity": 2.5,
      "competitor_average": 3.8,
      "market_leader": 6.2,
      "user_position": "below_average",
      "opportunity_score": 80
    },
    "content_structure": {
      "user_categories": ["blog", "products", "resources"],
      "competitor_categories": ["blog", "products", "resources", "case_studies", "guides"],
      "missing_categories": ["case_studies", "guides"],
      "opportunity_score": 85
    },
    "seo_optimization": {
      "user_structure_quality": "good",
      "competitor_average": "excellent",
      "optimization_gaps": ["priority_values", "changefreq_optimization"],
      "opportunity_score": 70
    }
  }
}

3. AI Insights Generation Strategy

3.1 Competitor Analysis AI Prompts

Primary Competitor Analysis Prompt

COMPETITOR_ANALYSIS_PROMPT = """
Analyze these competitors discovered for the user's website: {user_url}

User Website Context:
- Industry: {industry}
- Current Content Strategy: {user_content_strategy}
- Target Audience: {user_target_audience}

Competitor Data:
{competitor_data}

Provide strategic insights on:

1. **Market Position Assessment**:
   - Where does the user stand vs competitors?
   - What are the user's competitive advantages?
   - What are the main competitive gaps?

2. **Content Strategy Opportunities**:
   - What content categories are competitors using that the user isn't?
   - What content gaps present the biggest opportunities?
   - What content strategies are working for competitors?

3. **Competitive Advantages**:
   - What unique strengths does the user have?
   - How can the user differentiate from competitors?
   - What market positioning opportunities exist?

4. **Strategic Recommendations**:
   - Top 5 actionable steps to improve competitive position
   - Content priorities for the next 3 months
   - Quick wins vs long-term strategic moves

Focus on actionable insights that help content creators and digital marketers make informed decisions.
"""

Enhanced Sitemap Analysis Prompt

COMPETITIVE_SITEMAP_PROMPT = """
Analyze this sitemap data with competitive context:

User Sitemap Analysis:
{user_sitemap_data}

Competitive Benchmarks:
{competitive_benchmarks}

Industry Context: {industry}

Provide insights on:

1. **Content Volume Positioning**:
   - How does the user's content volume compare to competitors?
   - What content expansion opportunities exist?
   - What content categories should be prioritized?

2. **Publishing Strategy Optimization**:
   - How does the user's publishing frequency compare?
   - What publishing patterns work best for competitors?
   - What publishing schedule would be optimal?

3. **Site Structure Competitive Analysis**:
   - How does the user's site organization compare?
   - What structural improvements would help competitiveness?
   - What SEO structure optimizations are needed?

4. **Content Gap Identification**:
   - What content categories are competitors using that the user isn't?
   - What content depth opportunities exist?
   - What content types should be prioritized?

5. **Strategic Content Recommendations**:
   - Top 10 content ideas based on competitive analysis
   - Content calendar recommendations
   - Content strategy priorities for next 6 months

Provide specific, actionable recommendations with business impact estimates.
"""

3.2 AI Insights Output Structure

Expected AI Insights Format

{
  "competitive_analysis": {
    "market_position": "above_average",
    "competitive_advantages": [
      "Strong technical content depth",
      "Regular publishing consistency",
      "Good site organization"
    ],
    "competitive_gaps": [
      "Missing case studies content",
      "Limited video content",
      "No product comparison pages"
    ],
    "market_opportunities": [
      {
        "opportunity": "Case studies content",
        "priority": "high",
        "effort": "medium",
        "impact": "high",
        "competitor_examples": ["competitor1.com/case-studies"]
      }
    ]
  },
  "content_strategy_recommendations": {
    "immediate_priorities": [
      "Create case studies section",
      "Develop product comparison pages",
      "Increase publishing frequency to 3 posts/week"
    ],
    "content_expansion": [
      "Video content library",
      "Industry insights section",
      "Customer success stories"
    ],
    "publishing_optimization": {
      "recommended_frequency": "3 posts/week",
      "optimal_schedule": "Tuesday, Thursday, Saturday",
      "content_mix": "70% blog posts, 20% case studies, 10% videos"
    }
  },
  "competitive_positioning": {
    "unique_value_proposition": "Technical expertise with practical application",
    "differentiation_strategy": "Focus on actionable insights over theory",
    "market_positioning": "Premium technical content provider"
  }
}

5. Expected Outputs and Value

5.1 Competitor Analysis Outputs

Data Points Provided

Competitor URLs: 15-25 relevant competitors discovered
Competitive Positioning: Market position vs competitors
Content Gap Analysis: Missing content opportunities
Competitive Advantages: User's unique strengths
Strategic Recommendations: Actionable next steps

Business Value

Market Intelligence: Understanding competitive landscape
Content Strategy: Data-driven content decisions
Competitive Positioning: Clear differentiation strategy
Opportunity Identification: High-impact content opportunities

5.2 Enhanced Sitemap Analysis Outputs

Data Points Provided

Competitive Benchmarks: Performance vs market leaders
Content Volume Analysis: Publishing frequency comparison
Structure Optimization: Site organization improvements
SEO Opportunities: Technical optimization recommendations

Business Value

Performance Benchmarking: Know where you stand
Optimization Priorities: Focus on high-impact improvements
Content Strategy: Data-driven publishing decisions
Technical SEO: Competitive technical optimization

5.3 Combined Strategic Value

For Content Creators

Clear understanding of competitive landscape
Data-driven content strategy recommendations
Specific content opportunities to pursue
Competitive positioning guidance

For Digital Marketers

Market intelligence and competitive insights
Performance benchmarking against competitors
Strategic recommendations with business impact
Actionable optimization priorities

For Business Owners

Competitive market position assessment
Strategic content and marketing direction
ROI-focused recommendations
Long-term competitive advantage planning

6. Cost Analysis and Optimization

6.1 Exa API Costs

Per Analysis Session

Competitor Discovery: 25 results × $0.005 = $0.125
Enhanced Analysis: 10 results × $0.005 = $0.05
Content Analysis: 50 results × $0.001 = $0.05
Total per Session: ~$0.225

Monthly Projections (100 users)

100 users × 4 analyses/month: 400 sessions
400 sessions × $0.225: $90/month
Cost per user per analysis: $0.225

6.2 Optimization Strategies

Cost Reduction

Caching: Store competitor results for 30 days
Batch Processing: Analyze multiple competitors together
Smart Filtering: Only analyze top competitors
Result Pagination: Load more results on demand

Value Maximization

Rich Insights: Comprehensive competitive intelligence
Actionable Recommendations: Specific next steps
Business Impact: ROI-focused insights
User Experience: Intuitive, professional interface

Conclusion

This Phase 1 implementation provides a solid foundation for competitive analysis in Step 4 onboarding. By combining Exa API's powerful competitor discovery with enhanced sitemap analysis, users will receive:

Comprehensive Competitive Intelligence: Understanding of market position and opportunities
Data-Driven Content Strategy: Specific recommendations for content development
Strategic Business Insights: Actionable recommendations for competitive advantage
Professional-Grade Analysis: Enterprise-level competitive intelligence

The implementation is cost-effective, scalable, and provides immediate value to users while setting the foundation for more advanced competitive analysis features in future phases.

@AJaySi commented on GitHub (Sep 30, 2025): # Competitor Analysis & Sitemap Analysis Plan for ALwrity Onboarding ## Overview This document outlines the implementation plan for Phase 1 of Step 4 onboarding, focusing on competitor analysis using the Exa API and enhanced sitemap analysis. This approach provides comprehensive competitive intelligence while optimizing API usage and costs. --- ## 1. Exa API Integration for Competitor Discovery ### 1.1 Exa API Analysis Based on the [Exa API documentation](https://docs.exa.ai/reference/find-similar-links), the `findSimilar` endpoint is perfectly suited for competitor discovery: #### Key Features for Competitor Analysis - **Neural Search**: Uses AI to find semantically similar content (up to 100 results) - **Content Analysis**: Provides summaries, highlights, and full text - **Domain Filtering**: Can include/exclude specific domains - **Date Filtering**: Filter by published/crawl dates - **Cost Effective**: $0.005 for 1-25 results, $0.025 for 26-100 results #### Optimal API Configuration for Competitor Discovery ```json { "url": "https://user-website.com", "numResults": 25, "contents": { "text": true, "summary": { "query": "Business model, target audience, content strategy" }, "highlights": { "numSentences": 2, "highlightsPerUrl": 3, "query": "Unique value proposition, competitive advantages" } }, "context": true, "moderation": true } ``` ### 1.2 Competitor Discovery Strategy #### Phase 1: Initial Competitor Discovery ```python async def discover_competitors(user_url: str, industry: str = None) -> Dict[str, Any]: """ Discover competitors using Exa API findSimilar endpoint """ # Primary competitor search primary_competitors = await exa.find_similar_and_contents( url=user_url, num_results=15, contents={ "text": True, "summary": { "query": f"Business model, target audience, content strategy in {industry or 'this industry'}" }, "highlights": { "numSentences": 2, "highlightsPerUrl": 3, "query": "Unique value proposition, competitive advantages, market position" } }, context=True, moderation=True ) # Enhanced competitor search with domain filtering enhanced_competitors = await exa.find_similar_and_contents( url=user_url, num_results=10, exclude_domains=[extract_domain(user_url)], # Exclude user's domain contents={ "text": True, "summary": { "query": "Content strategy, SEO approach, marketing tactics" } } ) return { "primary_competitors": primary_competitors, "enhanced_competitors": enhanced_competitors, "total_competitors": len(primary_competitors.results) + len(enhanced_competitors.results) } ``` #### Phase 2: Competitor Analysis Enhancement ```python async def analyze_competitor_content(competitor_urls: List[str]) -> Dict[str, Any]: """ Deep dive analysis of discovered competitors """ competitor_analyses = [] for competitor_url in competitor_urls[:10]: # Limit to top 10 competitors # Get competitor's sitemap for structure analysis sitemap_analysis = await analyze_sitemap(f"{competitor_url}/sitemap.xml") # Get competitor's content strategy insights content_analysis = await exa.find_similar_and_contents( url=competitor_url, num_results=5, contents={ "text": True, "summary": { "query": "Content strategy, target keywords, audience engagement" } } ) competitor_analyses.append({ "url": competitor_url, "sitemap_analysis": sitemap_analysis, "content_insights": content_analysis, "competitive_score": calculate_competitive_score(sitemap_analysis, content_analysis) }) return competitor_analyses ``` --- ## 2. Enhanced Sitemap Analysis Integration ### 2.1 Current Sitemap Service Enhancement The existing `SitemapService` will be enhanced to support competitive benchmarking: #### Enhanced Sitemap Analysis with Competitive Context ```python async def analyze_sitemap_with_competitive_context( user_sitemap_url: str, competitor_data: Dict[str, Any], industry: str = None ) -> Dict[str, Any]: """ Enhanced sitemap analysis with competitive benchmarking """ # Get user's sitemap analysis user_analysis = await sitemap_service.analyze_sitemap( user_sitemap_url, analyze_content_trends=True, analyze_publishing_patterns=True ) # Extract competitive benchmarks competitor_benchmarks = extract_competitive_benchmarks(competitor_data) # Generate AI insights with competitive context competitive_insights = await generate_competitive_sitemap_insights( user_analysis, competitor_benchmarks, industry ) return { "user_sitemap_analysis": user_analysis, "competitive_benchmarks": competitor_benchmarks, "competitive_insights": competitive_insights, "market_positioning": calculate_market_positioning(user_analysis, competitor_benchmarks) } ``` ### 2.2 Competitive Benchmarking Metrics #### Key Metrics for Competitive Analysis ```json { "competitive_benchmarks": { "content_volume": { "user_total_urls": 1250, "competitor_average": 2100, "market_leader": 4500, "user_position": "below_average", "opportunity_score": 75 }, "publishing_velocity": { "user_velocity": 2.5, "competitor_average": 3.8, "market_leader": 6.2, "user_position": "below_average", "opportunity_score": 80 }, "content_structure": { "user_categories": ["blog", "products", "resources"], "competitor_categories": ["blog", "products", "resources", "case_studies", "guides"], "missing_categories": ["case_studies", "guides"], "opportunity_score": 85 }, "seo_optimization": { "user_structure_quality": "good", "competitor_average": "excellent", "optimization_gaps": ["priority_values", "changefreq_optimization"], "opportunity_score": 70 } } } ``` --- ## 3. AI Insights Generation Strategy ### 3.1 Competitor Analysis AI Prompts #### Primary Competitor Analysis Prompt ```python COMPETITOR_ANALYSIS_PROMPT = """ Analyze these competitors discovered for the user's website: {user_url} User Website Context: - Industry: {industry} - Current Content Strategy: {user_content_strategy} - Target Audience: {user_target_audience} Competitor Data: {competitor_data} Provide strategic insights on: 1. **Market Position Assessment**: - Where does the user stand vs competitors? - What are the user's competitive advantages? - What are the main competitive gaps? 2. **Content Strategy Opportunities**: - What content categories are competitors using that the user isn't? - What content gaps present the biggest opportunities? - What content strategies are working for competitors? 3. **Competitive Advantages**: - What unique strengths does the user have? - How can the user differentiate from competitors? - What market positioning opportunities exist? 4. **Strategic Recommendations**: - Top 5 actionable steps to improve competitive position - Content priorities for the next 3 months - Quick wins vs long-term strategic moves Focus on actionable insights that help content creators and digital marketers make informed decisions. """ ``` #### Enhanced Sitemap Analysis Prompt ```python COMPETITIVE_SITEMAP_PROMPT = """ Analyze this sitemap data with competitive context: User Sitemap Analysis: {user_sitemap_data} Competitive Benchmarks: {competitive_benchmarks} Industry Context: {industry} Provide insights on: 1. **Content Volume Positioning**: - How does the user's content volume compare to competitors? - What content expansion opportunities exist? - What content categories should be prioritized? 2. **Publishing Strategy Optimization**: - How does the user's publishing frequency compare? - What publishing patterns work best for competitors? - What publishing schedule would be optimal? 3. **Site Structure Competitive Analysis**: - How does the user's site organization compare? - What structural improvements would help competitiveness? - What SEO structure optimizations are needed? 4. **Content Gap Identification**: - What content categories are competitors using that the user isn't? - What content depth opportunities exist? - What content types should be prioritized? 5. **Strategic Content Recommendations**: - Top 10 content ideas based on competitive analysis - Content calendar recommendations - Content strategy priorities for next 6 months Provide specific, actionable recommendations with business impact estimates. """ ``` ### 3.2 AI Insights Output Structure #### Expected AI Insights Format ```json { "competitive_analysis": { "market_position": "above_average", "competitive_advantages": [ "Strong technical content depth", "Regular publishing consistency", "Good site organization" ], "competitive_gaps": [ "Missing case studies content", "Limited video content", "No product comparison pages" ], "market_opportunities": [ { "opportunity": "Case studies content", "priority": "high", "effort": "medium", "impact": "high", "competitor_examples": ["competitor1.com/case-studies"] } ] }, "content_strategy_recommendations": { "immediate_priorities": [ "Create case studies section", "Develop product comparison pages", "Increase publishing frequency to 3 posts/week" ], "content_expansion": [ "Video content library", "Industry insights section", "Customer success stories" ], "publishing_optimization": { "recommended_frequency": "3 posts/week", "optimal_schedule": "Tuesday, Thursday, Saturday", "content_mix": "70% blog posts, 20% case studies, 10% videos" } }, "competitive_positioning": { "unique_value_proposition": "Technical expertise with practical application", "differentiation_strategy": "Focus on actionable insights over theory", "market_positioning": "Premium technical content provider" } } ``` --- ## 5. Expected Outputs and Value ### 5.1 Competitor Analysis Outputs #### Data Points Provided - **Competitor URLs**: 15-25 relevant competitors discovered - **Competitive Positioning**: Market position vs competitors - **Content Gap Analysis**: Missing content opportunities - **Competitive Advantages**: User's unique strengths - **Strategic Recommendations**: Actionable next steps #### Business Value - **Market Intelligence**: Understanding competitive landscape - **Content Strategy**: Data-driven content decisions - **Competitive Positioning**: Clear differentiation strategy - **Opportunity Identification**: High-impact content opportunities ### 5.2 Enhanced Sitemap Analysis Outputs #### Data Points Provided - **Competitive Benchmarks**: Performance vs market leaders - **Content Volume Analysis**: Publishing frequency comparison - **Structure Optimization**: Site organization improvements - **SEO Opportunities**: Technical optimization recommendations #### Business Value - **Performance Benchmarking**: Know where you stand - **Optimization Priorities**: Focus on high-impact improvements - **Content Strategy**: Data-driven publishing decisions - **Technical SEO**: Competitive technical optimization ### 5.3 Combined Strategic Value #### For Content Creators - Clear understanding of competitive landscape - Data-driven content strategy recommendations - Specific content opportunities to pursue - Competitive positioning guidance #### For Digital Marketers - Market intelligence and competitive insights - Performance benchmarking against competitors - Strategic recommendations with business impact - Actionable optimization priorities #### For Business Owners - Competitive market position assessment - Strategic content and marketing direction - ROI-focused recommendations - Long-term competitive advantage planning --- ## 6. Cost Analysis and Optimization ### 6.1 Exa API Costs #### Per Analysis Session - **Competitor Discovery**: 25 results × $0.005 = $0.125 - **Enhanced Analysis**: 10 results × $0.005 = $0.05 - **Content Analysis**: 50 results × $0.001 = $0.05 - **Total per Session**: ~$0.225 #### Monthly Projections (100 users) - **100 users × 4 analyses/month**: 400 sessions - **400 sessions × $0.225**: $90/month - **Cost per user per analysis**: $0.225 ### 6.2 Optimization Strategies #### Cost Reduction - **Caching**: Store competitor results for 30 days - **Batch Processing**: Analyze multiple competitors together - **Smart Filtering**: Only analyze top competitors - **Result Pagination**: Load more results on demand #### Value Maximization - **Rich Insights**: Comprehensive competitive intelligence - **Actionable Recommendations**: Specific next steps - **Business Impact**: ROI-focused insights - **User Experience**: Intuitive, professional interface --- ## Conclusion This Phase 1 implementation provides a solid foundation for competitive analysis in Step 4 onboarding. By combining Exa API's powerful competitor discovery with enhanced sitemap analysis, users will receive: - **Comprehensive Competitive Intelligence**: Understanding of market position and opportunities - **Data-Driven Content Strategy**: Specific recommendations for content development - **Strategic Business Insights**: Actionable recommendations for competitive advantage - **Professional-Grade Analysis**: Enterprise-level competitive intelligence The implementation is cost-effective, scalable, and provides immediate value to users while setting the foundation for more advanced competitive analysis features in future phases.

kerem commented

2026-03-13 20:47:13 +03:00

Author

Owner

@AJaySi commented on GitHub (Oct 7, 2025):

@uniqueumesh @Om-Singh1808 @DikshaDisciplines

This is now done. I have used Exa similar search to find out the given end user's url and its 10 competitors.
The results are encouraging as its saves tons of manual work of finding competitors and *analyzing them.

This is included in the step 4 of onboarding, I will be pushing the code soon.
Marking it as done for now.

@AJaySi commented on GitHub (Oct 7, 2025): @uniqueumesh @Om-Singh1808 @DikshaDisciplines This is now done. I have used Exa similar search to find out the given end user's url and its 10 competitors. The results are encouraging as its saves tons of manual work of finding competitors and *analyzing them. This is included in the step 4 of onboarding, I will be pushing the code soon. Marking it as done for now.

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