Competitor Average Position Analysis

What is it?

The Competitor Average Position Analysis is an advanced SEO tool that examines the daily average positions of your competitors' keywords across various search engines over time. It provides a detailed assessment of competitors' ranking performance, offering valuable insights to enhance your SEO strategy and improve your competitive positioning.

Why use it?

• Understand how your competitors' average keyword positions fluctuate over time
• Identify trends and patterns in competitor ranking performance across different search engines
• Detect opportunities to outrank competitors on specific search engines
• Gain insights into search engine dynamics and SERP landscape changes
• Receive data-driven recommendations for improving your keyword rankings relative to competitors

How to use it

1. Navigate to https://app.serp360.ai/competitors/
2. Input your competitors' keywords and retrieve the ranking data
3. Click the "AI" button to initiate the analysis
4. Wait for the AI to process your data and generate the comprehensive report
5. Review your detailed insights and strategic recommendations

Tip: Use the "Clear" button to start over, and the toggle arrow to show/hide results.

What you'll receive

The AI analyzes your competitors' average position data and provides a detailed report including:

1. Trend Identification in Average Positions
   • Assessment of average positions for each search engine
   • Identification of consistent upward or downward trends
   • Highlight of significant shifts in average positions
2. Comparison Across Search Engines
   • Comparative analysis of average position trends among different search engines
   • Identification of search engines with consistent performance levels
   • Investigation of similar trend patterns across search engines
3. Aggregated Daily Average Positions Analysis
   • Scrutiny of daily average positions across all search engines
   • Identification of significant shifts suggesting broader SERP landscape changes
   • Comparison of different periods for SEO trends and search engine performance
4. Statistical Analysis
   • Calculation of mean, median, mode, and standard deviation for average positions
   • Identification of outliers or anomalies in the data
   • Hypothesis testing for statistically significant differences across search engines or time periods
5. Strategic SEO Plan Development
   • Proposed SEO tactics based on observed data patterns, trends, and statistical analysis
   • Prioritized strategies with rationale for each recommendation
6. Actionable Recommendations and Strategic Advice
   • Summary of key findings translated into actionable SEO optimization steps
   • Best practices for ongoing analysis and adaptation to SEO volatility and trends
7. Summary of Key Findings
   • Concise summary of crucial insights from the analysis
   • Emphasis on translating insights into practical SEO tactics

Understanding the results

• The analysis focuses on daily average positions of competitors' keywords across various search engines
• It provides insights into competitor performance and opportunities for your own SEO strategy
• The report offers both broad market insights and specific, actionable recommendations

Tips for optimal use

• Run this analysis regularly to track changes in competitor performance over time
• Pay attention to shifts in average positions across different search engines
• Use the insights to inform your content strategy and search engine-specific optimization
• Implement recommended strategies incrementally and monitor their impact
• Consider external factors (like algorithm updates or industry changes) when interpreting results

Data processing methodology

The AI analyzes your competitors' average position data by:

• Calculating daily average positions for each search engine
• Identifying trends and patterns in average positions over time
• Conducting statistical analyses to detect significant differences and anomalies
• Comparing performance across different search engines
• Generating strategic recommendations based on comprehensive competitive analysis