15 LLM Marketing AI SEO Prompts for Analytics

Analytics forms the backbone of effective digital marketing strategies. By leveraging Large Language Models (LLMs) like ChatGPT for marketing analytics, professionals can extract valuable insights, identify trends, and make data-driven decisions that boost SEO performance and marketing ROI.

LLM Marketing AI SEO Prompts for Analytics are specialized instructions that guide AI tools to analyze marketing data, interpret SEO metrics, and generate actionable insights. These prompts help marketers make sense of complex analytics data without needing advanced technical skills, allowing them to focus on strategy implementation rather than data interpretation.

What are the Best LLM Marketing AI SEO Prompts for Analytics?

1. SEO Performance Analysis

The Prompt: "Analyze these [website traffic metrics] for the past [time period] and identify the top 3 SEO opportunities based on keyword rankings, user engagement, and conversion rates."

When to Use It: When you need a comprehensive overview of your site's SEO performance and want to identify high-impact improvement areas.

Variations:

• "Compare my SEO performance against [competitor websites] and highlight areas where I'm falling behind."
• "Review my [organic traffic data] and suggest content optimization strategies for pages with high impressions but low click-through rates."

Additional Information Required: Website analytics data (traffic, rankings, engagement metrics), time period for analysis, and competitor information if applicable.

2. Content Gap Analysis

The Prompt: "Based on these [keyword rankings] and [competitor data], identify content gaps in my SEO strategy that are preventing me from ranking for [target keywords]."

When to Use It: When planning your content calendar or looking to expand your keyword footprint in search results.

Variations:

• "Find untapped keyword opportunities in [industry niche] based on search volume and competition level."
• "Analyze [top 5 competitors] and identify topics they rank for that I don't cover on my website."

Additional Information Required: Current keyword rankings, competitor websites, target keywords or topics, and industry niche.

3. Technical SEO Audit Interpretation

The Prompt: "Interpret these [technical SEO audit results] and prioritize the issues based on their potential impact on search rankings and user experience."

When to Use It: After running a technical SEO audit and needing help understanding which issues to address first.

Variations:

• "Explain these [crawl errors] in simple terms and suggest solutions for fixing them."
• "Create an action plan to address these [page speed metrics] with specific recommendations for improvement."

Additional Information Required: Technical SEO audit results, crawl errors report, page speed data, or other technical metrics.

4. Analytics Anomaly Investigation

The Prompt: "I noticed a [traffic spike/drop] on [date]. Analyze these [analytics data points] and suggest possible causes and how to respond."

When to Use It: When you spot unusual patterns in your analytics that require investigation and explanation.

Variations:

• "My bounce rate increased by [percentage] last month. Review these [user behavior metrics] and suggest reasons why."
• "My conversion rate dropped after this [website update]. Analyze these [before and after metrics] to identify potential issues."

Additional Information Required: Specific metrics showing the anomaly, date ranges, any website changes made during the relevant period.

5. Conversion Funnel Analysis

The Prompt: "Analyze this [conversion funnel data] and identify the stages with the highest drop-off rates. Suggest improvements based on the metrics."

When to Use It: When optimizing your conversion path and looking to reduce abandonment at critical stages.

Variations:

• "Review these [user journey analytics] and suggest content improvements to reduce the drop-off between [specific stages]."
• "Compare conversion paths for [different traffic sources] and recommend channel-specific optimizations."

Additional Information Required: Conversion funnel data, user journey analytics, traffic source information, and current conversion rates.

6. Search Console Data Interpretation

The Prompt: "Interpret these [Google Search Console metrics] for the past [time period] and recommend content optimization strategies for improving click-through rates."

When to Use It: When reviewing Search Console data and looking for actionable insights to improve organic performance.

Variations:

• "Identify queries where my pages appear in positions 4-10 and suggest title and meta description improvements to increase clicks."
• "Analyze these [impression vs. click data] and prioritize pages that need meta tag optimization."

Additional Information Required: Google Search Console export (impressions, clicks, CTR, position), time period, and specific pages you want to focus on.

7. Competitor Backlink Analysis

The Prompt: "Analyze these [competitor backlink profiles] and identify link building opportunities that would benefit my SEO for [target keywords]."

When to Use It: When developing a link building strategy and looking for high-value opportunities based on competitor success.

Variations:

• "Compare my backlink profile with [competitors] and identify quality gaps I should address."
• "Find common link sources among my top 3 competitors that I haven't secured yet."

Additional Information Required: Competitor domains, their backlink data, your current backlink profile, and target keywords.

8. Seasonal Trend Analysis

The Prompt: "Analyze these [year-over-year traffic patterns] and identify seasonal trends I should prepare for in my content and SEO strategy."

When to Use It: When planning your content calendar and wanting to capitalize on predictable seasonal trends.

Variations:

• "Based on these [historical search volume data], suggest content topics I should prepare for [upcoming season]."
• "Compare my [seasonal performance] against industry benchmarks and identify opportunities for improvement."

Additional Information Required: Historical traffic data (preferably multiple years), industry or niche, and specific seasonal periods you're interested in.

9. User Behavior Metric Interpretation

The Prompt: "Interpret these [user behavior metrics] for my top landing pages and suggest content improvements to increase engagement and reduce bounce rates."

When to Use It: When optimizing existing content based on how users are actually interacting with it.

Variations:

• "Analyze the [scroll depth and time on page] for these [blog posts] and suggest structural improvements."
• "Review these [exit page statistics] and recommend changes to keep users on my site longer."

Additional Information Required: User behavior metrics (bounce rate, time on page, scroll depth, etc.), specific page URLs, and current content structure.

10. ROI Analysis for SEO Efforts

The Prompt: "Calculate the ROI of these [SEO initiatives] based on [traffic increases], [conversion rates], and [customer value data]."

When to Use It: When evaluating the business impact of your SEO work and planning future investments.

Variations:

• "Compare the ROI of [content creation] versus [technical SEO improvements] based on these [performance metrics]."
• "Analyze the long-term value of ranking improvements for these [keywords] based on [conversion data]."

Additional Information Required: Cost of SEO initiatives, traffic data before and after implementation, conversion rates, and customer lifetime value figures.

11. Local SEO Performance Analysis

The Prompt: "Analyze these [Google Business Profile metrics] and [local search rankings] to identify optimization opportunities for improving local visibility."

When to Use It: When focusing on local SEO performance and wanting to improve visibility in local search results.

Variations:

• "Compare my local SEO performance across [multiple locations] and identify best practices from top-performing locations."
• "Review these [local competitor rankings] and suggest strategies to improve my position for [local keywords]."

Additional Information Required: Google Business Profile insights, local search rankings, location-specific data, and local competitor information.

12. Mobile vs. Desktop Performance Gap

The Prompt: "Analyze the performance gap between mobile and desktop users based on these [device-specific metrics] and recommend improvements for the underperforming platform."

When to Use It: When noticing significant differences in performance between devices and wanting to create a more consistent user experience.

Variations:

• "Identify specific pages with the largest mobile-desktop performance gap and suggest technical fixes."
• "Review these [mobile user journey metrics] and recommend content format changes to improve mobile engagement."

Additional Information Required: Device-specific analytics (traffic, conversion rates, bounce rates, etc.), page speed data by device, and user journey information.

13. Content Performance Prediction

The Prompt: "Based on these [historical content performance metrics], predict how this [draft content] will perform and suggest optimizations before publication."

When to Use It: When finalizing new content and wanting to maximize its potential performance based on past data.

Variations:

• "Analyze my top-performing content and identify patterns I should apply to this [upcoming content piece]."
• "Review these [keyword performance trends] and suggest how to position this [new article] for maximum visibility."

Additional Information Required: Historical content performance data, draft content or outline, target keywords, and content category.

14. Algorithm Update Impact Assessment

The Prompt: "Analyze these [traffic patterns] before and after the [specific algorithm update] and identify pages that were most affected and why."

When to Use It: After a known algorithm update when you need to understand its impact on your site and plan recovery strategies.

Variations:

• "Compare my post-update performance against [competitors] and identify what protected or harmed sites in my niche."
• "Review these [ranking changes] following the [algorithm update] and suggest content adjustments to recover positions."

Additional Information Required: Traffic and ranking data from before and after the update, specific algorithm update information, and affected page details.

15. AI-Generated Content Performance Analysis

The Prompt: "Compare the performance of these [AI-generated content pieces] against [human-written content] using these [engagement and ranking metrics]."

When to Use It: When evaluating your content creation strategy and the effectiveness of AI-generated content in your marketing mix.

Variations:

• "Analyze these [AI content performance metrics] and identify patterns that distinguish successful from unsuccessful AI content."
• "Review these [user feedback data points] for AI vs. human content and suggest improvements to my AI content workflow."

Additional Information Required: Performance metrics for both AI and human-written content, content creation processes, and user feedback if available.

Tips on How to Write LLM Marketing AI SEO Prompts for Analytics

1. Start with clear objectives: Define what specific insight you're seeking before crafting your prompt.
2. Be specific about metrics: Name exact metrics you want analyzed rather than asking for general "performance data."
3. Provide context: Include information about your industry, competitors, and previous performance to get more relevant analysis.
4. Request actionable outputs: Ask for specific recommendations, not just data interpretation.
5. Use precise time frames: Specify exact date ranges for more accurate analysis.
6. Include benchmark requests: Ask for comparisons against industry standards or your historical performance.
7. Break complex questions into parts: For multifaceted analysis, consider using a series of related prompts rather than one complex query.
8. Request prioritization: Ask the AI to rank recommendations by potential impact or implementation difficulty.
9. Specify output format: Request data visualizations, bullet points, or step-by-step plans depending on how you'll use the information.
10. Iterate and refine: Use the AI's initial response to create more targeted follow-up prompts.

How AirOps Aids Your Content Marketing & SEO

AirOps transforms how marketing teams leverage AI for analytics and SEO by providing a structured environment for prompt creation, management, and optimization. Rather than starting from scratch with each analysis, AirOps offers customizable analytics prompt templates that consistently deliver actionable insights.

With AirOps, marketing teams can:

• Store and organize proven analytics prompts for quick access
• Share effective prompts across team members for consistent analysis
• Track which analytics approaches deliver the most valuable insights
• Automate routine data analysis tasks with scheduled prompts
• Integrate insights directly into your marketing workflow and reporting systems

The platform significantly reduces the time between data collection and action by streamlining the analysis process. This allows marketers to spend less time interpreting data and more time implementing strategies that drive results.

Whether you're analyzing traffic patterns, evaluating keyword performance, or optimizing conversion funnels, AirOps provides the infrastructure needed to make data-driven decisions quickly and confidently. Take your marketing analytics to the next level by exploring how AirOps can transform your approach to SEO and content performance analysis—visit our website today to see how our platform can empower your team with AI-enhanced analytics capabilities.

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