15 Claude AI SEO Prompts for Data Analysis

Data analysis is a critical component of any successful SEO strategy. By leveraging Claude AI's powerful capabilities, marketers and SEO professionals can extract meaningful insights from complex datasets, identify trends, and make data-driven decisions that improve search rankings and website performance.

Claude AI SEO prompts for data analysis are specialized instructions designed to help you analyze website metrics, keyword performance, competitive positioning, and user behavior patterns. These prompts guide Claude to process your SEO data and provide actionable insights that can inform your content strategy, technical optimizations, and overall SEO approach.

What are the Best Claude AI SEO Prompts for Data Analysis?

1. Keyword Gap Analysis

The Prompt: "Analyze these two CSV files of keyword rankings - one for my website and one for my competitor. Identify keywords where my competitor ranks in the top 10 but my site ranks poorly or not at all. Categorize the gaps by search intent and suggest which ones represent the best opportunities."

When to Use It: When you want to find new keyword opportunities by comparing your site's performance against competitors.

Variations:

• "Compare my keyword rankings against the top 3 competitors in my industry and identify patterns in the topics they're succeeding with."
• "Analyze my keyword data to find terms where I rank on page 2 but could potentially move to page 1 with optimization."

Additional Information Required: CSV files containing keyword ranking data for your site and competitors, including search volume and current positions.

2. Traffic Pattern Analysis

The Prompt: "I've uploaded my Google Analytics data for the past 12 months. Identify seasonal patterns in organic traffic, correlate traffic changes with known algorithm updates, and highlight pages with significant traffic changes that require attention."

When to Use It: When reviewing historical traffic data to understand patterns and prioritize optimization efforts.

Variations:

• "Analyze my year-over-year organic traffic data and identify which content categories are growing or declining in performance."
• "Review my Google Analytics data to find correlations between page load speed improvements and changes in organic traffic."

Additional Information Required: Google Analytics export with organic traffic data, page performance metrics, and dates of known algorithm updates.

3. Content Performance Audit

The Prompt: "Analyze this spreadsheet of our blog content performance metrics (traffic, bounce rate, conversion rate, backlinks). Identify content clusters that perform well, content that needs updating, and gaps in our content strategy based on these metrics."

When to Use It: When conducting a content audit to determine which pieces to keep, update, or remove.

Variations:

• "Review our content performance data and recommend 10 specific articles that should be consolidated or updated based on declining metrics."
• "Analyze our top-performing content and extract common characteristics that we should apply to future content creation."

Additional Information Required: Spreadsheet with content URLs and their associated performance metrics from Google Analytics and other SEO tools.

4. Backlink Profile Analysis

The Prompt: "I've uploaded my site's backlink profile and my competitor's backlink profile. Compare the two, identify high-quality domains linking to them but not to me, and suggest outreach strategies for acquiring similar backlinks."

When to Use It: When looking to improve your site's authority through strategic link building.

Variations:

• "Analyze my backlink profile to identify toxic links that should be disavowed."
• "Compare the anchor text distribution in my backlink profile against industry benchmarks and suggest improvements."

Additional Information Required: CSV exports of backlink data from tools like Ahrefs, SEMrush, or Moz, including linking domains, URLs, and authority metrics.

5. SERP Feature Opportunity Analysis

The Prompt: "Based on this keyword research data, identify opportunities where we could optimize for SERP features (featured snippets, people also ask, knowledge panels). For each opportunity, suggest specific content structure and formatting to increase our chances of capturing these positions."

When to Use It: When looking to increase visibility through SERP features beyond traditional organic rankings.

Variations:

• "Analyze my top 50 keywords and identify which ones have featured snippet opportunities we're not currently capturing."
• "Review my product pages and suggest schema markup opportunities to enhance our presence in Google Shopping results."

Additional Information Required: Keyword research data including SERP feature presence for each term, current rankings, and page URLs.

6. Technical SEO Issue Prioritization

The Prompt: "I've uploaded a crawl report from Screaming Frog with various technical issues identified. Analyze the data, prioritize the issues based on their likely impact on SEO performance, and create an implementation roadmap organized by effort required versus potential benefit."

When to Use It: When faced with numerous technical SEO issues and needing to determine which to tackle first.

Variations:

• "Review this list of 404 errors and recommend which ones should be redirected based on their historical traffic and backlink profile."
• "Analyze our site structure data and identify opportunities to improve internal linking for better crawl efficiency."

Additional Information Required: Technical SEO crawl data, including errors, redirects, page speed metrics, and other technical elements.

7. Conversion Rate Optimization Analysis

The Prompt: "Analyze this dataset of landing page metrics (traffic source, bounce rate, time on page, conversion rate). Identify patterns in user behavior based on traffic source and landing page type, then suggest A/B testing opportunities to improve conversion rates."

When to Use It: When looking to improve the performance of landing pages for organic traffic.

Variations:

• "Compare conversion rates across different device types and suggest mobile-specific optimizations for pages with poor mobile conversion."
• "Analyze user flow data from organic search entries and identify common exit points that need optimization."

Additional Information Required: Landing page performance data including traffic sources, user behavior metrics, and conversion rates.

8. Local SEO Performance Analysis

The Prompt: "I've uploaded Google Business Profile insights for our 5 locations along with local keyword ranking data. Analyze performance differences between locations, identify correlations between profile completeness and ranking performance, and suggest location-specific optimization strategies."

When to Use It: When managing multiple local business listings and wanting to improve local search visibility.

Variations:

• "Compare our local pack rankings against competitors in our top 3 markets and identify differentiating factors."
• "Analyze review sentiment across our locations and correlate with local ranking performance."

Additional Information Required: Google Business Profile metrics, local keyword rankings, and competitor data for each location.

9. Core Web Vitals Analysis

The Prompt: "I've provided PageSpeed Insights data for our top 20 landing pages. Analyze the Core Web Vitals metrics, identify common issues affecting performance, and prioritize technical fixes based on traffic volume to these pages and severity of the issues."

When to Use It: When working to improve page experience signals that impact rankings.

Variations:

• "Compare our Core Web Vitals metrics against industry benchmarks and identify our biggest competitive disadvantages."
• "Analyze our mobile CWV performance trends over the past 6 months and correlate with mobile ranking changes."

Additional Information Required: PageSpeed Insights data for key pages, including LCP, FID, CLS metrics, and traffic volume data.

10. Content Cannibalization Detection

The Prompt: "Analyze this list of our website URLs and their targeting keywords. Identify instances where multiple pages are competing for the same keywords, assess which page is currently performing better, and recommend consolidation or differentiation strategies."

When to Use It: When auditing large websites with potential keyword cannibalization issues.

Variations:

• "Find instances where our blog content is competing with our product pages for the same keywords and suggest how to resolve these conflicts."
• "Identify topic clusters where we have thin content spread across multiple pages that should be consolidated."

Additional Information Required: Spreadsheet of URLs with their target keywords, current rankings, and traffic data.

11. Competitive Content Gap Analysis

The Prompt: "Compare the content topics covered on our site versus our top 3 competitors. Identify topics they're covering that we're missing, and analyze the search volume and competition level for these gap opportunities."

When to Use It: When planning content strategy and looking for untapped topic opportunities.

Variations:

• "Analyze the content depth and breadth of our top competitor's resource center compared to ours and identify areas for improvement."
• "Compare our blog content categories against industry leaders and identify underserved topics with high search potential."

Additional Information Required: Content inventories from your site and competitor sites, including topic categories and keyword targets.

12. Search Intent Optimization Analysis

The Prompt: "Review this list of keywords where we rank on page 1 but not in positions 1-3. Analyze the top-ranking content for each keyword, identify patterns in how they satisfy search intent, and recommend specific updates to our content to better match user intent."

When to Use It: When looking to improve rankings for keywords where you're close to the top positions.

Variations:

• "Analyze SERP features for our target keywords to determine if our content format aligns with Google's understanding of search intent."
• "Compare the content structure of our page versus the top 3 ranking pages for this keyword and identify intent-matching gaps."

Additional Information Required: List of target keywords, current rankings, and URLs of your content and top-ranking competitors.

13. Algorithm Update Impact Analysis

The Prompt: "I've provided organic traffic data before and after Google's recent core update. Analyze which pages and sections of our site were most impacted, identify common characteristics of negatively affected pages, and suggest recovery strategies based on Google's quality guidelines."

When to Use It: After a Google algorithm update that has impacted your site's performance.

Variations:

• "Compare our traffic changes after the core update against industry benchmarks to determine if our losses were site-specific or industry-wide."
• "Analyze content quality metrics of pages that gained versus lost after the update and identify quality patterns."

Additional Information Required: Before and after traffic data segmented by page and section, dates of algorithm updates, and industry benchmark data if available.

14. E-commerce Category Performance Analysis

The Prompt: "Analyze this e-commerce data showing organic traffic, conversion rates, and revenue by product category. Identify categories with high search potential but poor visibility, and recommend SEO strategies to improve their performance."

When to Use It: When optimizing an e-commerce site and prioritizing category-level SEO efforts.

Variations:

• "Compare seasonal performance across product categories and suggest content calendar adjustments to capitalize on trends."
• "Analyze product category page structures against top-ranking competitors and identify optimization opportunities."

Additional Information Required: E-commerce analytics data including organic traffic, conversion rates, and revenue by category, plus keyword opportunity data.

15. User Behavior Analysis for SEO

The Prompt: "I've provided heatmap and scroll depth data for our top landing pages from organic search. Analyze user engagement patterns, identify content sections that users are missing or skipping, and recommend on-page optimizations to improve engagement signals."

When to Use It: When looking to improve on-page engagement metrics that may influence rankings.

Variations:

• "Compare user behavior on mobile versus desktop for our top landing pages and suggest device-specific optimizations."
• "Analyze session recordings of organic visitors to identify usability issues that may be hurting our bounce rate."

Additional Information Required: User behavior data from tools like Hotjar or Crazy Egg, including heatmaps, scroll maps, and session recordings.

Tips on How to Write Claude AI SEO Prompts for Data Analysis

1. Be specific about data formats: Clearly describe the data you're providing and in what format (CSV, spreadsheet, JSON, etc.) so Claude can properly interpret it.
2. Define clear objectives: State exactly what insights you're looking for rather than asking for general analysis.
3. Include relevant context: Provide background information about your industry, competitors, and specific SEO goals to make the analysis more relevant.
4. Request actionable recommendations: Ask Claude not just to analyze data but to provide specific, implementable suggestions based on the findings.
5. Break complex analyses into steps: For complicated data tasks, guide Claude through a step-by-step process rather than asking for everything at once.
6. Specify metrics of interest: Clearly identify which metrics matter most to your analysis (traffic, rankings, conversions, etc.).
7. Set parameters for prioritization: Tell Claude how to weigh different factors when making recommendations (e.g., effort vs. impact, short-term vs. long-term).
8. Request visual representations: Ask Claude to describe how data could be visualized to better understand patterns and relationships.
9. Include time frames: Specify the time periods you want to analyze, especially when looking for trends or seasonal patterns.
10. Ask for comparative analysis: Request that Claude compare different segments, time periods, or competitors to provide context for the data.

How AirOps Aids Your Content Marketing & SEO

AirOps takes your SEO data analysis to the next level by providing a structured environment for creating, managing, and optimizing your Claude AI prompts. With AirOps, you can save your most effective SEO analysis prompts as templates, allowing your team to consistently extract valuable insights from your data without starting from scratch each time.

The platform enables you to build complex, multi-step data analysis workflows that combine different types of SEO data for more comprehensive insights. This systematic approach ensures that your team can follow best practices for data analysis consistently, leading to more reliable SEO recommendations.

AirOps also facilitates team collaboration, allowing SEO specialists, content creators, and data analysts to work together seamlessly on prompt development and refinement. This collaborative environment helps your organization build institutional knowledge about what works best for your specific SEO challenges.

Ready to transform your SEO data analysis? Visit AirOps today to discover how our platform can help you extract more value from your SEO data and turn insights into action. Sign up for a demo and see how AirOps can become an essential part of your SEO toolkit.

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