Advanced Content Analysis Tool
Analyze, compare, and optimize your content with SEO insights and expert recommendations
Original Content
New Content
Detailed Analysis
Most Frequent Duplicate Words
SEO & Keyword Analysis
Long-Tail Keywords
Suggested long-tail keywords for better ranking:
LSI Keywords
Latent Semantic Indexing keywords detected:
SEO Suggestions
Content Analysis FAQ
Click on any question to see detailed answers and expert insights:
Acceptable duplicate content percentages vary by use case:
- Academic & Research Papers: 0-5% (very strict)
- Blog Posts & Articles: 5-15% (varies by niche)
- Product Descriptions: 10-25% (some duplication expected)
- Technical Documentation: 15-30% (industry terms unavoidable)
- News Reporting: 10-20% (facts and quotes often repeated)
Important Considerations:
- Google typically penalizes duplicate content over 30%
- Proper citation can offset duplication concerns
- Common phrases and technical terms are often excluded from duplication calculations
- Quality of unique content matters more than just the percentage
Best Practice: Aim for 85%+ uniqueness for SEO-optimized content and always add unique value even when covering similar topics.
Google's 2024 Algorithm Updates for Duplicate Content:
- BERT & MUM Integration: Better understanding of content intent and context
- Semantic Analysis: Focuses on meaning rather than exact word matches
- Quality Signals: Considers user engagement, E-A-T (Expertise, Authoritativeness, Trustworthiness)
- Cross-Language Understanding: Detects translations of duplicate content
Google's Approach:
- Canonicalization: Google tries to determine the "original" version
- Filtering: Similar pages may be filtered from results
- Ranking Impact: Excessive duplication can lower rankings but rarely causes penalties unless manipulative
- Partial Duplication: Sections of duplicate content are evaluated differently than entire pages
Modern SEO Best Practices:
- Use canonical tags for similar content
- Create comprehensive content that adds unique value
- Focus on user intent and problem-solving
- Regularly update and refresh existing content
- Use structured data to help Google understand content relationships
Effective Content Rewriting Strategies:
1. Structural Rewriting:
- Change the article structure and flow
- Use different headings and subheadings
- Rearrange paragraphs in a different logical order
- Add new sections or remove unnecessary ones
2. Semantic Rewriting:
- Use synonyms and related terms
- Change sentence structure (active to passive voice, etc.)
- Add explanations, examples, or case studies
- Include recent statistics or updated information
3. Value Addition:
- Add unique insights or perspectives
- Include personal experiences or anecdotes
- Add multimedia elements (images, videos, infographics)
- Include practical tips or actionable steps
4. Technical Approaches:
- Use different primary and secondary keywords
- Adjust the reading level for different audiences
- Change the content format (listicle vs. guide vs. case study)
- Update with current trends and developments
5. Tools & Techniques:
- Use this tool's duplicate highlighting feature
- Employ plagiarism checkers as a final step
- Read content aloud to identify unnatural phrasing
- Get feedback from target audience members
Our Advanced Calculation Methodology:
1. Uniqueness Score Calculation:
- Word-level Analysis: Compares individual words and phrases
- Semantic Analysis: Considers synonyms and related terms
- N-gram Analysis: Checks sequences of 3-5 words
- Fingerprinting: Creates unique content fingerprints for comparison
- Common Phrase Exclusion: Ignores industry-standard phrases
2. Content Rating Factors (Weighted):
- Uniqueness (30%): Originality of content
- Readability (25%): Flesch-Kincaid reading ease score
- Structure (20%): Headings, paragraphs, and organization
- Length (15%): Word count appropriateness for content type
- Keyword Optimization (10%): Keyword density and placement
3. Advanced Algorithms Used:
- Cosine Similarity for document comparison
- Jaccard Index for set-based analysis
- TF-IDF for keyword importance weighting
- Word2Vec for semantic understanding
- Custom algorithms for industry-specific analysis
4. Industry Benchmarks:
Our algorithms are calibrated against:
- Academic plagiarism standards
- SEO industry best practices
- Content marketing quality metrics
- Reader engagement research
Critical SEO Metrics for Content Analysis:
1. On-Page SEO Factors:
- Keyword Optimization: Primary and secondary keyword usage
- Content Length: 1,500+ words for comprehensive topics
- Readability Score: Aim for 60+ on Flesch Reading Ease
- Heading Structure: Proper H1-H6 hierarchy
- Internal Linking: 2-5 relevant internal links per 1,000 words
2. Content Quality Metrics:
- Uniqueness Score: Minimum 85% for SEO content
- Comprehensiveness: Covers topic in depth
- Recency: Updated within last 6-12 months
- Authority Signals: Citations, sources, and expert quotes
- User Intent Match: Content addresses searcher's needs
3. Technical SEO Factors:
- Page Load Speed: Under 3 seconds
- Mobile Optimization: Responsive design
- Schema Markup: Proper structured data
- Canonical Tags: For similar content
- Image Optimization: Compressed with alt text
4. Engagement Metrics (Post-Publication):
- Time on Page: 2+ minutes for articles
- Bounce Rate: Below 60% for content pages
- Social Shares: Indicates content value
- Backlinks Earned: Natural link acquisition
- Comments & Engagement: Reader interaction
5. Competitive Metrics:
- SERP Feature Potential: Featured snippets, people also ask
- Gap Analysis: Content your competitors don't have
- Trend Alignment: Current search trends and topics
- Long-Tail Coverage: Addressing specific user questions
Content Improvement Recommendations
Based on your content analysis, here are personalized suggestions: