Use it when you want to begin seo and content analytics work without writing the first draft from scratch.
SEO Performance Audit AI Prompt
Conduct a data-driven SEO performance audit for {{website}}. Search Console data: {{search_console_data}} GA4 data: {{ga4_data}} Audit period: {{period}} 1. Overall organic perf... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.
Conduct a data-driven SEO performance audit for {{website}}.
Search Console data: {{search_console_data}}
GA4 data: {{ga4_data}}
Audit period: {{period}}
1. Overall organic performance:
- Total organic sessions: trend over {{period}}
- Total impressions, clicks, average CTR, average position (from Search Console)
- YoY change in organic sessions
- Organic share of total traffic mix
2. Top pages analysis:
- Top 20 pages by organic sessions
- For each: impressions, clicks, CTR, average position
- Pages with high impressions but low CTR (< 2%): title/meta description optimization opportunity
- Pages with good CTR but low position (4-10): close to page 1, worth optimizing content
- Pages with declining sessions YoY: potential ranking drops or content decay
3. Keyword analysis:
- Top 50 keywords by clicks
- Keyword categorization: branded vs non-branded
- Non-branded keyword performance: positions 1-3, 4-10, 11-20
- Keyword opportunities: high impression, low click keywords (position 4-10) = quick win optimization targets
4. Technical SEO signals:
- Core Web Vitals: LCP, FID/INP, CLS from Search Console
- Mobile vs desktop impressions and CTR comparison
- Index coverage: excluded pages and their reasons
- Any manual actions or security issues flagged
5. Content decay identification:
- Pages where organic traffic has declined > 20% YoY
- Likely causes: algorithm update, increased competition, outdated content
- Priority for content refresh based on traffic loss volume
6. Opportunity matrix:
- Quick wins (1-4 weeks): CTR optimization, internal linking, title tag updates
- Medium term (1-3 months): content expansion for position 4-10 keywords
- Long term (3-12 months): new content creation for strategic keyword gaps
Return: performance summary, top page and keyword analysis, technical issues, content decay list, and opportunity matrix.When to use this prompt
Use it when you want a more consistent structure for AI output across projects or datasets.
Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.
Use it when you want a clear next step into adjacent prompts in SEO and Content Analytics or the wider Marketing Analyst library.
What the AI should return
The AI should return a structured result that covers the main requested outputs, such as Overall organic performance:, Total organic sessions: trend over {{period}}, Total impressions, clicks, average CTR, average position (from Search Console). The final answer should stay clear, actionable, and easy to review inside a seo and content analytics workflow for marketing analyst work.
How to use this prompt
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in SEO and Content Analytics.
Frequently asked questions
What does the SEO Performance Audit prompt do?+
It gives you a structured seo and content analytics starting point for marketing analyst work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for marketing analyst workflows and marked as beginner, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
SEO Performance Audit is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are Content Calendar Data Strategy, Content Performance Analysis, Keyword Opportunity Analysis.