Intelligent Content Analysis Workflows
Intelligent Content Analysis Workflows
Section titled “Intelligent Content Analysis Workflows”This guide demonstrates how to create sophisticated AI workflows that analyze web content using advanced language models, combining browser extension capabilities with intelligent processing to extract insights, patterns, and actionable information.
Content Analysis Architecture
Section titled “Content Analysis Architecture”Multi-Modal Content Processing
Section titled “Multi-Modal Content Processing”Analyze different types of web content using specialized AI approaches:
// Comprehensive content analyzerclass IntelligentContentAnalyzer { constructor() { this.textAnalyzer = new TextAnalysisAgent(); this.imageAnalyzer = new ImageAnalysisAgent(); this.structureAnalyzer = new HTMLStructureAgent(); this.semanticAnalyzer = new SemanticAnalysisAgent(); }
async analyzeWebPage(url) { await NavigateToLink.execute({ url });
// Collect all content types const content = { text: await GetAllText.execute(), html: await GetAllHTML.execute(), images: await GetAllImages.execute(), links: await GetAllLinks.execute(), metadata: await this.extractMetadata() };
// Parallel analysis of different content aspects const analyses = await Promise.all([ this.textAnalyzer.analyze(content.text), this.imageAnalyzer.analyze(content.images), this.structureAnalyzer.analyze(content.html), this.semanticAnalyzer.analyze(content) ]);
return await this.synthesizeAnalyses(analyses, content); }
async synthesizeAnalyses(analyses, originalContent) { return await Agent.execute({ input: { textAnalysis: analyses[0], imageAnalysis: analyses[1], structureAnalysis: analyses[2], semanticAnalysis: analyses[3], originalUrl: originalContent.url }, prompt: `Synthesize these multi-modal content analyses into a comprehensive report:
1. Overall content quality and credibility assessment 2. Key themes and topics identified 3. Content structure and organization evaluation 4. Visual content effectiveness analysis 5. SEO and accessibility insights 6. Audience targeting and engagement potential 7. Content gaps and improvement opportunities
Provide actionable insights and recommendations.` }); }}Advanced Text Analysis Workflows
Section titled “Advanced Text Analysis Workflows”Semantic Content Understanding
Section titled “Semantic Content Understanding”Extract deep semantic meaning from web content:
// Semantic content analyzerclass SemanticContentAnalyzer { async analyzeSemantics(content) { // Entity extraction and relationship mapping const entityAnalysis = await Agent.execute({ input: content, tools: [EntityExtractionTool, RelationshipMapperTool], prompt: `Perform comprehensive semantic analysis:
1. Extract all named entities (people, organizations, locations, concepts) 2. Identify relationships between entities 3. Map semantic roles and dependencies 4. Extract key concepts and themes 5. Identify implicit meanings and context 6. Analyze discourse structure and argumentation
Return detailed semantic map with confidence scores.` });
// Conceptual framework analysis const conceptualAnalysis = await Agent.execute({ input: { content: content, entities: entityAnalysis.entities }, prompt: `Analyze the conceptual framework of this content:
1. Identify main conceptual categories 2. Map concept hierarchies and taxonomies 3. Find conceptual gaps or inconsistencies 4. Analyze conceptual complexity level 5. Identify domain-specific terminology 6. Assess conceptual coherence and clarity
Return conceptual analysis with recommendations.` });
return { entities: entityAnalysis, concepts: conceptualAnalysis, semanticComplexity: this.calculateComplexity(entityAnalysis, conceptualAnalysis) }; }
calculateComplexity(entityAnalysis, conceptualAnalysis) { // AI-powered complexity assessment return Agent.execute({ input: { entityCount: entityAnalysis.entities.length, relationshipCount: entityAnalysis.relationships.length, conceptCount: conceptualAnalysis.concepts.length, domainSpecificity: conceptualAnalysis.domainSpecificity }, prompt: `Calculate content complexity score (0-1) based on: - Number and diversity of entities - Complexity of relationships - Conceptual depth and breadth - Domain-specific terminology density
Return complexity score with explanation.` }); }}Content Quality Assessment
Section titled “Content Quality Assessment”Evaluate content quality using multiple AI-driven criteria:
// Content quality evaluatorclass ContentQualityEvaluator { async evaluateQuality(content, contentType = 'general') { const qualityMetrics = await Promise.all([ this.assessReadability(content), this.evaluateCredibility(content), this.analyzeCompleteness(content, contentType), this.assessEngagement(content), this.evaluateAccuracy(content) ]);
return await this.synthesizeQualityScore(qualityMetrics, content); }
async assessReadability(content) { return await Agent.execute({ input: content, tools: [ReadabilityAnalyzerTool, LanguageComplexityTool], prompt: `Assess content readability:
1. Calculate reading level (grade level equivalent) 2. Analyze sentence structure complexity 3. Evaluate vocabulary difficulty 4. Assess paragraph organization 5. Check for clarity and coherence 6. Identify potential comprehension barriers
Return readability assessment with improvement suggestions.` }); }
async evaluateCredibility(content) { return await Agent.execute({ input: content, tools: [FactCheckerTool, SourceValidatorTool, BiasDetectorTool], prompt: `Evaluate content credibility:
1. Identify factual claims and verify accuracy 2. Assess source quality and authority 3. Detect potential bias or misinformation 4. Evaluate evidence quality and citations 5. Check for logical consistency 6. Assess transparency and disclosure
Return credibility score with detailed analysis.` }); }
async analyzeCompleteness(content, contentType) { const completenessFramework = this.getCompletenessFramework(contentType);
return await Agent.execute({ input: { content: content, framework: completenessFramework }, prompt: `Analyze content completeness against framework:
Framework requirements: ${JSON.stringify(completenessFramework)}
1. Check coverage of required topics 2. Identify missing information gaps 3. Assess depth of coverage for each topic 4. Evaluate logical flow and structure 5. Check for supporting evidence and examples
Return completeness analysis with gap identification.` }); }
getCompletenessFramework(contentType) { const frameworks = { 'product_review': [ 'product_overview', 'features_analysis', 'pros_and_cons', 'pricing_information', 'comparison_with_alternatives', 'user_experience', 'recommendation' ], 'tutorial': [ 'prerequisites', 'step_by_step_instructions', 'examples', 'troubleshooting', 'expected_outcomes', 'next_steps' ], 'news_article': [ 'headline', 'lead_paragraph', 'background_context', 'key_facts', 'quotes_and_sources', 'implications' ], 'research_paper': [ 'abstract', 'introduction', 'methodology', 'results', 'discussion', 'conclusions', 'references' ] };
return frameworks[contentType] || frameworks['general']; }}Visual Content Analysis
Section titled “Visual Content Analysis”Analyze images and visual elements in web content:
// Visual content analyzerclass VisualContentAnalyzer { async analyzeImages(images) { const imageAnalyses = [];
for (const image of images) { const analysis = await Agent.execute({ input: { imageUrl: image.src, altText: image.alt, context: image.context }, tools: [ImageRecognitionTool, OCRTool, VisualQualityTool], prompt: `Analyze this image comprehensively:
1. Identify objects, people, and scenes 2. Extract any text content (OCR) 3. Assess visual quality and composition 4. Evaluate relevance to surrounding content 5. Check accessibility (alt text quality) 6. Identify potential copyright or licensing issues 7. Assess emotional impact and messaging
Return detailed image analysis report.` });
imageAnalyses.push(analysis); }
return await this.synthesizeVisualAnalysis(imageAnalyses); }
async synthesizeVisualAnalysis(imageAnalyses) { return await Agent.execute({ input: JSON.stringify(imageAnalyses), prompt: `Synthesize visual content analysis:
1. Overall visual content strategy assessment 2. Visual-text content alignment evaluation 3. Brand consistency analysis 4. Accessibility compliance review 5. Visual engagement potential 6. Recommendations for improvement
Return comprehensive visual content report.` }); }
async analyzeVisualHierarchy(html) { return await Agent.execute({ input: html, tools: [CSSAnalyzerTool, LayoutAnalyzerTool], prompt: `Analyze visual hierarchy and design:
1. Evaluate heading structure and typography 2. Assess color scheme and contrast 3. Analyze layout and spacing 4. Check responsive design elements 5. Evaluate visual flow and user attention 6. Identify design inconsistencies
Return visual design analysis with UX recommendations.` }); }}Advanced Analysis Patterns
Section titled “Advanced Analysis Patterns”Competitive Content Analysis
Section titled “Competitive Content Analysis”Compare content against competitors using AI:
// Competitive content analyzerclass CompetitiveContentAnalyzer { async analyzeCompetitiveContent(targetUrl, competitorUrls) { // Analyze target content const targetAnalysis = await this.analyzeContent(targetUrl);
// Analyze competitor content const competitorAnalyses = []; for (const url of competitorUrls) { const analysis = await this.analyzeContent(url); competitorAnalyses.push(analysis); }
return await this.compareContent(targetAnalysis, competitorAnalyses); }
async compareContent(target, competitors) { return await Agent.execute({ input: { target: JSON.stringify(target), competitors: JSON.stringify(competitors) }, prompt: `Perform competitive content analysis:
1. Compare content depth and coverage 2. Analyze unique value propositions 3. Identify content gaps and opportunities 4. Compare content quality metrics 5. Analyze audience targeting differences 6. Evaluate content format and presentation 7. Identify competitive advantages and weaknesses
Return strategic content recommendations.` }); }
async identifyContentGaps(targetContent, competitorContents) { return await Agent.execute({ input: { target: targetContent, competitors: competitorContents }, prompt: `Identify content gaps and opportunities:
1. Topics covered by competitors but missing from target 2. Depth gaps in shared topics 3. Format opportunities (video, interactive, etc.) 4. Audience segment gaps 5. Keyword and SEO opportunities 6. Content freshness and update opportunities
Prioritize gaps by potential impact and difficulty.` }); }}Trend Analysis and Prediction
Section titled “Trend Analysis and Prediction”Analyze content trends and predict future directions:
// Content trend analyzerclass ContentTrendAnalyzer { async analyzeTrends(contentSamples, timeframe = '6months') { const trendAnalysis = await Agent.execute({ input: { samples: JSON.stringify(contentSamples), timeframe: timeframe }, tools: [TrendDetectionTool, StatisticalAnalysisTool], prompt: `Analyze content trends over ${timeframe}:
1. Identify emerging topics and themes 2. Track content format evolution 3. Analyze engagement pattern changes 4. Detect seasonal or cyclical patterns 5. Identify declining or rising content types 6. Analyze audience preference shifts
Return trend analysis with confidence intervals.` });
const predictions = await this.predictFutureTrends(trendAnalysis);
return { currentTrends: trendAnalysis, predictions: predictions, recommendations: await this.generateTrendRecommendations(trendAnalysis, predictions) }; }
async predictFutureTrends(trendAnalysis) { return await Agent.execute({ input: JSON.stringify(trendAnalysis), tools: [PredictionModelTool, ScenarioAnalysisTool], prompt: `Predict future content trends based on current analysis:
1. Extrapolate current trend trajectories 2. Identify potential disruption points 3. Consider external factors (technology, society, economy) 4. Predict new content format emergence 5. Forecast audience behavior changes 6. Estimate timeline for trend maturation
Return predictions with probability estimates.` }); }}Audience Analysis and Personalization
Section titled “Audience Analysis and Personalization”Analyze content for different audience segments:
// Audience-aware content analyzerclass AudienceContentAnalyzer { async analyzeForAudience(content, audienceProfile) { const audienceAnalysis = await Agent.execute({ input: { content: content, audience: JSON.stringify(audienceProfile) }, tools: [PersonaAnalyzerTool, EngagementPredictorTool], prompt: `Analyze content effectiveness for target audience:
Audience Profile: ${JSON.stringify(audienceProfile)}
1. Assess content relevance to audience interests 2. Evaluate language and tone appropriateness 3. Check complexity level alignment 4. Analyze cultural sensitivity and inclusivity 5. Assess engagement potential 6. Identify personalization opportunities
Return audience-specific content analysis.` });
return await this.generatePersonalizationRecommendations(audienceAnalysis); }
async generatePersonalizationRecommendations(audienceAnalysis) { return await Agent.execute({ input: JSON.stringify(audienceAnalysis), prompt: `Generate personalization recommendations:
1. Content adaptation strategies for different segments 2. Dynamic content element suggestions 3. Personalized call-to-action recommendations 4. Audience-specific content format preferences 5. Timing and delivery optimization 6. Cross-segment content opportunities
Return actionable personalization strategy.` }); }
async segmentAudience(engagementData) { return await Agent.execute({ input: JSON.stringify(engagementData), tools: [ClusteringTool, BehaviorAnalysisTool], prompt: `Segment audience based on engagement patterns:
1. Identify distinct behavior clusters 2. Characterize each segment's preferences 3. Analyze content consumption patterns 4. Identify segment-specific needs and pain points 5. Map content journey preferences 6. Suggest segment-specific content strategies
Return detailed audience segmentation analysis.` }); }}Real-World Applications
Section titled “Real-World Applications”Content Strategy Optimization
Section titled “Content Strategy Optimization”Use AI analysis to optimize content strategy:
// Content strategy optimizerclass ContentStrategyOptimizer { async optimizeStrategy(currentContent, businessGoals, audienceData) { // Comprehensive content audit const contentAudit = await this.auditCurrentContent(currentContent);
// Goal alignment analysis const goalAlignment = await this.analyzeGoalAlignment(contentAudit, businessGoals);
// Audience fit assessment const audienceFit = await this.assessAudienceFit(contentAudit, audienceData);
return await this.generateOptimizationPlan(contentAudit, goalAlignment, audienceFit); }
async generateOptimizationPlan(audit, goals, audience) { return await Agent.execute({ input: { audit: JSON.stringify(audit), goals: JSON.stringify(goals), audience: JSON.stringify(audience) }, prompt: `Generate comprehensive content strategy optimization plan:
1. Priority content improvements (high impact, low effort) 2. Content gap filling strategy 3. Audience alignment improvements 4. Goal achievement pathway 5. Content format diversification plan 6. Performance measurement framework 7. Implementation timeline and resources
Return actionable optimization roadmap.` }); }}This intelligent content analysis framework provides comprehensive insights into web content, enabling data-driven content strategy decisions and optimization opportunities.