Getting your pages found by Internet users making searches
28 June 2026 - Page review.
Getting many Impressions recorded in your Google Serach Console and they are not resulting in clicks is an indication that the content of your page has garnered interest by someone making a search but the result or your description was not compelling enough for the person making the search to click on the result.
A case in point
My page on Judith Cockayne was getting Impressions for no other apparent reasons than
it had an uncensored occurance of the name Raymond and Belchamp Walter. This was in contrast to my page on William Stern which I had censored the name Raymond.
The relevance of Impressions in SEO
I believe that I am in a unique situation with my efforts of SEO. My observations on what an Impression means is not
"clouded" with queries about what most Internet users are searching for.
AI Summaries - AI Overviews
Now that we have AI the Internet user does not necassarily have to click on a link to a page to see the content. The summary generated by AI could contain information from one of your pages and display that in the search result.
The AI search result may also contain information from other websites and sources so as an SEO implementer it is in your interest to try and determine how the AI came up with the information that looks like it came from you.
The down-side of this phenomina is that that your GSC reports will contain far more impressions than it does clicks.
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The presentation of Quotes and Summaries
I have always struggled with quoting directly from my sources. In an AI world it is very likely that a quote I have posted gets tokenised and ends up in an AI Overview.
This is a quote from Wikipedia:
AI Overviews is an artificial intelligence (AI) feature integrated into Google Search that produces AI-generated summaries of search results. The feature has been criticized for its accuracy and for reducing traffic to content websites.
I format these quotes in a green box.
This is an AI Summary (Overview) for AI Tokens:
Tokens are the fundamental units of data processed by AI models during training and inference. They represent smaller components of text, such as words, subwords, punctuation, or special markers. For example, the word "unbelievable" might be tokenized into "un," "believ," and "able." Tokenization enables models to handle diverse inputs efficiently, even for unseen words.
