MASTER SEO PROMPT: Impression Mining SEO Strategy ( Search console )

When I use this SEO prompt, my goal is simple, I want to turn raw Google Search Console data into a clear, actionable SEO plan without guessing. Instead of just looking at impressions and clicks randomly, I let the prompt identify high-impression, low-CTR keywords where Google is already giving me visibility but users aren’t clicking.

Then, I break those queries into three smart buckets: the ones I should strengthen inside my existing page, the ones that need supporting content, and the ones that deserve completely separate articles.

This helps me avoid the common mistake of mixing different search intents on one page. After that, I use the prompt to upgrade my content with better structure, missing subtopics, and FAQs, while also creating new content ideas for expansion.

The most powerful part is CTR optimization rewriting titles and meta descriptions based on real query data, not assumptions. Overall, this prompt acts like a complete SEO assistant for me, helping me improve rankings, increase clicks, and build a strong topical authority system step by step.

SEO Prompt

I will provide you with Google Search Console (GSC) data for a specific page, including:

- Page URL
- Queries
- Clicks
- Impressions
- CTR
- Average Position

Your task is to perform a complete "Impression Mining SEO Analysis" and optimization plan.

Follow these steps:

STEP 1: Identify Opportunity
- Analyze the data and identify queries with:
  - High impressions
  - Low CTR (below 3–5%)
  - Positions between 5–20 (optional but preferred)
- These are high-potential keywords where Google is already testing visibility.

STEP 2: Query Classification (VERY IMPORTANT)
Classify all queries into 3 buckets:

Bucket A: 
- Highly relevant to the page’s main intent
- Should be strengthened within the existing page

Bucket B:
- Partially relevant but not fully covered
- Needs supporting sections or separate supporting content

Bucket C:
- Different intent or deserves its own dedicated article
- Should NOT be forced into the main page

STEP 3: Content Optimization Plan (for Bucket A)
For all Bucket A keywords:
- Suggest:
  - New H2/H3 headings
  - Missing subtopics
  - FAQs (5–10)
  - Examples, comparisons, or use cases
- Improve topical depth WITHOUT keyword stuffing
- Focus on "people-first helpful content"

STEP 4: Content Expansion Plan (for Bucket B & C)
- For Bucket B:
  - Suggest supporting sections OR new supporting articles
- For Bucket C:
  - Suggest completely new article ideas
- For each new article:
  - Provide:
    - Title
    - Target keyword
    - Search intent
    - Internal linking suggestion (how to link with main page)

STEP 5: CTR Optimization (CRITICAL)
- Rewrite 3–5 SEO-friendly titles using:
  - Curiosity
  - Numbers
  - Power words
  - Clear intent match
- Rewrite meta descriptions:
  - Focus on click appeal + clarity
  - Include primary keyword naturally

STEP 6: Internal Linking Strategy
- Suggest:
  - Anchor text variations (5–10)
  - Where to place internal links
  - How to connect cluster pages

STEP 7: Final Output Format

Provide output in this structure:

1. High Opportunity Keywords (Table)
2. Bucket A / B / C Classification
3. Content Upgrade Plan (Existing Page)
4. New Content Ideas (Supporting + Separate Articles)
5. Title & Meta Suggestions
6. Internal Linking Strategy

Important Guidelines:
- Do NOT suggest keyword stuffing
- Focus on search intent clarity
- Keep SEO practical and actionable
- Avoid generic advice — be specific to the data

Now wait for my GSC data.

How to use this Prompt

Impression Mining SEO Strategy

This method is about finding pages that already get visibility from Google but are underperforming on clicks or not fully aligned with search intent.

Step 1: Open GSC and go to Performance. Filter the date range to the last 3 months or 6 months so you have enough data. Search Console’s Performance report is designed exactly for reviewing clicks, impressions, CTR, and average position.

Step 2: Find pages with high impressions but weak CTR. Go to the Pages tab, sort by impressions, then look for pages that have strong impressions but low CTR. This usually means Google is testing your page, but searchers are not choosing it enough.

Step 3: Open the queries for one page. Click that page, then go to Queries. Now you’ll see all the keywords Google is already associating with that URL. This is where the hidden gold comes from.

Step 4: Separate the queries into 3 buckets.

• Bucket A: keywords already relevant to the page.
• Bucket B: keywords partially relevant, but not clearly covered.
• Bucket C: keywords that deserve their own article. This is the key move. Most people just dump all keywords into one page and ruin intent. You need to split them smartly.

Step 5: Upgrade the existing page for Bucket A. Add missing subheadings, FAQs, examples, comparisons, definitions, or use cases. Do not stuff keywords. Make the page genuinely more complete and more useful for the user. Google explicitly recommends people-first, helpful content rather than content made only to manipulate rankings.

Step 6: Create support content for Bucket B and C. If the query is related but too different in intent, make a dedicated supporting article and internally link it to the main page.

Step 7: Improve title and meta for CTR. If impressions are there but clicks are weak, the issue can be packaging. Rewrite title and description around the actual query theme shown in GSC.