You’ve run the site audit. You’ve looked at the traffic drop. The problem is clear, but the path forward isn’t. Manually cross-referencing technical issues, content gaps, and competitor moves is a time-sink. This prompt acts as your AI SEO consultant. It takes your core problem and delivers a structured, prioritized action plan—turning confusion into clarity in seconds.
📋 The Prompt
**1. PROBLEM STATEMENT:** [Describe the SEO issue in 1-2 sentences. Be specific, e.g., "Organic traffic for target keyword 'X' dropped 40% after the last core update" or "New blog posts are not ranking for any intended keywords."]
**2. AVAILABLE DATA (Provide any known context):**
– **Site Changes:** [e.g., Recent migration, site redesign, plugin updates]
– **Competitor Movement:** [e.g., A specific competitor now outranks us]
– **Technical Flags:** [e.g., Increased crawl errors, slow page speed alerts]
– **Content Notes:** [e.g., Target page is a 2000-word pillar article]
**3. REQUESTED OUTPUT:**
A. **Diagnostic Hypothesis:** Based on the problem and data, what is the most likely root cause (1-2 sentences)?
B. **Immediate Actions (Next 72 Hours):** List 3-5 critical, executable steps to stop the bleed or test the hypothesis.
C. **Strategic Plan (Next 30 Days):** Outline 3 key strategic initiatives to rebuild and improve position. Connect each initiative to the likely cause.
D. **Success Metrics:** Define 2-3 specific KPIs to track progress, beyond just "ranking."
**4. CONSTRAINTS:** Prioritize user experience and E-E-A-T signals. Assume a mid-sized content-focused website.
How It Works
This prompt works because it mimics a professional consultant’s workflow. It forces a structured diagnosis instead of a generic list of tips. The **”Problem Statement”** frame is crucial. Vague problems get vague answers. By making the user define it, you engage the AI’s analytical mode.
The **”Available Data”** section is where strategy lives. It teaches the AI to connect dots. For example, a traffic drop plus a site migration points the AI toward indexing and redirect issues, not just content quality. It’s a way to automate your SEO workflow by handling the initial analysis layer.
Finally, the **”Requested Output”** structure ensures actionable advice. The split between **Immediate Actions** and a **Strategic Plan** is key. It provides instant relief and a long-term roadmap. By asking for a **Diagnostic Hypothesis**, you get the “why,” not just the “what.” This turns the output from a task list into an intelligently reasoned strategy.
Pro Tips & Variations
Advanced Tuning: For complex problems, replace “Act as a senior SEO consultant” with a more specific persona like “Act as an SEO technical specialist focused on JavaScript frameworks” to deeply tailor the analysis.
Common Mistake: Leaving the **Available Data** section blank. The AI will default to generic advice. Even one data point (e.g., “Core Web Vitals: Poor LCP”) dramatically improves the diagnosis.
For Proactive Work: Use this prompt framework proactively. Input a potential future problem statement like “We are about to launch a new product page category.” The AI will generate a pre-launch risk mitigation plan. This is how you can leverage AI to predict & analyze SEO trends and issues before they impact you.
Connecting to Broader Strategy: The output from this prompt serves as the perfect input for an advanced SEO prompt for expert analysis. Use the strategic plan it generates as the foundation for a deeper competitive gap analysis.
Frequently Asked Questions
I don't have all the data it asks for. Is the prompt useless?
Not at all. Just fill in what you know (e.g., just the problem statement). The AI will provide a more general diagnostic. It’s always better with data, but starting the conversation is the most important step.
How specific should the "Problem Statement" be?
Be as specific as possible. “Traffic is down” is weak. “Organic traffic from informational blog posts targeting mid-funnel keywords dropped 30% in the last 4 weeks” is strong. Specificity yields a targeted action plan.
Can I use this for on-page SEO of a single article?
Absolutely. Your problem statement becomes “Article X is not ranking for primary keyword Y.” Your data can include the current meta title, word count, and a top-ranking competitor’s URL. The AI will focus on on-page and topical depth.
The AI's "Diagnostic Hypothesis" seems wrong. What should I do?
This is a feature, not a bug. It exposes your own assumptions. Challenge it by refining your data in a follow-up prompt: “Your hypothesis was technical, but we’ve confirmed no crawl errors. Re-analyze focusing on content and competitor backlink profiles.”
How often should I run a prompt like this?
Treat it as a triage tool. Use it when a clear problem emerges (traffic drop, ranking loss) or before a major site change. For ongoing monitoring, it’s overkill. It’s designed for focused problem-solving sessions.
