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Independent comparison reference

People needed to compare versions of a product. I built pages from shared records, measured the search results, and added checks to catch bad data.

I built and maintain this project. I am withholding its name and address; the results and my ownership are stated directly.

Complete months: April–September 2026. Search data: Google Search Console and Bing Webmaster Tools. Sessions: Google Analytics 4 Organic Search. These measures differ; growth has no proven cause here.

Jolteon runs this page. I followed the source data to see which channel readers actually used.Pillar E, measure, then double down

The reader's question

A reader had narrowed a choice but still needed to see which version offered which features. The useful unit was a side-by-side comparison with consistent definitions, not another general overview.

The system I built

The first pages carried facts directly in their markup, which made corrections slow and inconsistent. I rebuilt them around structured records. A template now reads the same fields for the comparison, supporting explanation and FAQ; validators check missing values, ranges, duplicates and disagreements between sources before publishing.

One later error showed that a shared field can still be read differently by two parts of a site. I traced the value through every consumer and added cross-view checks. The deploy also compares built content with the live version, so a data correction changes only the pages that actually need it.

What happened

From April through September 2026 it earned 14,135 search clicks, including 14,104 from Bing. That split matters: the result is substantial, but one search engine carries almost all of it.

Monthly Google and Bing search clicks, April–September 2026
  1. April 2026428
  2. May 20261,101
  3. June 20262,103
  4. July 20262,846
  5. August 20264,142
  6. September 20263,515

Bar lengths compare months within this project. The table gives exact values for clicks, appearances and sessions.

Search clicks, search appearances and organic sessions by complete month
MonthSearch clicksSearch appearancesOrganic sessions
42814,818647
1,10131,8261,809
2,10361,2303,468
2,84693,8204,577
4,142134,5566,633
3,515128,2545,921

What I corrected

An early spot check found errors across the initial hand-entered pages. I stopped patching page by page, normalized the records, and rebuilt from one source. A later malformed record still produced an indexable page, so I moved the thin-page sweep ahead of release. The open risk is that validation can establish consistency without proving every external fact is correct.

What the data does and does not say

The search totals establish that people reached the site, and the organic sessions measure visits under GA4's channel rules. They do not establish why one engine favored it or prove that a particular change produced the traffic. I will not turn that uncertainty into a success story about a tactic.

Daily property rows through September 30, 2026. Google data through 2026-10-20; Bing through 2026-10-18; GA4 through 2026-10-22. Property labels are withheld.

Ask Bella

Ask Bella Hayden's corgi, who answers from this site and cites every fact.

BELLA

WOOF. I'm Bella, Hayden's corgi. He's my human. Ask me about him; every answer cites its source.

How it works: the answers are written ahead from this site's pages, and anything else gets a search of the site that shows you its exact words. Every claim has a numbered source you can tap. Nothing is generated while you wait, nothing is made up, and nothing you type leaves your browser. Every answer, in plain HTML

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