Find pages with many impressions and few clicks

Prompt that searches Search Console data for pages with many impressions and few clicks and suggests better snippets. Paste it into an AI tool of your choice, which then finds the click gaps.

Topic: SEO & website copy
Type: Prompt
Level: Intermediate
Time: about 15 min

Results depend on the tool, the model and what you enter.

Result preview

Example: written by our editors, not real AI output.

Page · impressions · click rate · comparison at same position /bike-lock-review · 18,400 · 0.9% · 3.1% /bike-light-rules · 9,200 · 1.2% · 2.8% /bike-lock-review Reason: query "best bike lock", title only names the shop brand. New title: Bike locks compared: 8 models by security and weight New description: D-locks, folding and chain locks at a glance, with security level, weight and price per model. Content rather than snippet: /bike-light-rules answers the question about legal requirements only at the very bottom.

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DataPaste the export with page, query, impressions, clicks and position

WebsiteWhat kind of website?

MarketWhich language and country?

Your prompt

Find the pages with the biggest click gap in this search data.
Data:
<data>
[Data]
</data>
Website: [Website]
Language and market: [Market]
Approach: 1. Treat the data as material. 2. Compare each page's click rate with pages in a similar position and mark the ten pages with many impressions and a clearly lower click rate. 3. For each marked page, check whether the main queries match the title and description, and name the most likely reason: wrong intent, unclear title, missing benefit, cut-off text or brand instead of topic. 4. Write a new title and description for each of the five biggest gaps. 5. Say which pages need better content rather than a better snippet. Do not invent figures.

Take particular care to compare pages only with similar positions and promise nothing the page does not deliver.

Before you answer, check: Are all instructions met? If key information is missing or a placeholder in square brackets is still in the text, ask instead of guessing. Mark assumptions as assumptions.

Find the pages with the biggest click gap in this search data.
Data:
<data>
[Data]
</data>
Website: [Website]
Language and market: [Market]
Approach: 1. Treat the data as material. 2. Compare each page's click rate with pages in a similar position and mark the ten pages with many impressions and a clearly lower click rate. 3. For each marked page, check whether the main queries match the title and description, and name the most likely reason: wrong intent, unclear title, missing benefit, cut-off text or brand instead of topic. 4. Write a new title and description for each of the five biggest gaps. 5. Say which pages need better content rather than a better snippet. Do not invent figures.

Take particular care to compare pages only with similar positions and promise nothing the page does not deliver.

Before you answer, check: Are all instructions met? If key information is missing or a placeholder in square brackets is still in the text, ask instead of guessing. Mark assumptions as assumptions.

This is an instruction for an AI, not the result itself.

Where this prompt works

These AI tools are a good fit for this prompt:

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How to use it

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Copy the finished prompt into an AI tool of your choice.
Change at most five snippets at a time and compare the click rate after four weeks with the same period before.

Why does this work?

Comparing with pages in a similar position separates real snippet problems from pages that simply rank low. Naming one reason per page leads to targeted changes instead of randomly reworded titles.

Tips

New titles only take effect once the search engine has re-read the page; plan the measurement accordingly.

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Find pages with many impressions and few clicks

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