Free · Google Sheets
Find signal in trends research—not more noise.
Compare Wikipedia topics on one chart: real monthly pageviews, five years, no APIs to wire yourself.
Trend research is noisy
- — Ten dashboards disagree.
- — Hot takes spike and vanish.
- — “Engagement” doesn’t explain depth of curiosity.
- — You need one line per topic—not another PDF.
Wikipedia traffic is blunt: people opened the encyclopedia article. Overlay two (or more) topics. Look at the slopes.
Problems → comparisons → signal
Scenario 1
Noise
Social says “everything is AI”—you need a sober curve.
Chart (examples)
ChatGPT vs Artificial intelligence — or anchor a third row if you want a baseline.
Signal
Spikes fade fast? Or does one line stay lifted for months? That’s your gut check.
Scenario 2
Noise
SEO: rankings look close. You want a second signal.
Chart (examples)
OpenAI vs Anthropic — or swap in your SERP rivals’ Wikipedia pages.
Signal
Pageviews slope over years: who people keep re-opening to understand.
Scenario 3
Noise
Stack rank two platforms for next quarter’s positioning.
Chart (examples)
Shopify vs WooCommerce
Signal
One chart for “who gets explained more often”.
Scenario 4
Noise
Is the niche fading before you ship?
Chart (examples)
Your category page vs adjacent category pages
Signal
Five years monthly: plateau, decline, or re-acceleration jumps out.
Three steps
- Paste Wikipedia page titles.
- Pick two or more to compare.
- Read the monthly chart across five years.
Pair with Google Trends for search spikes. Wikipedia shows research-style attention arcs.
Grab the workbook
- ✓Wikimedia pageview API, done in Sheets.
- ✓No code. Charts update for you.
- ✓Free Gumroad pickup.
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FAQ
Same as Google Trends? +
No. Different signal. Wikipedia = reading/research-ish traffic. Trends = search queries. Together they sharpen calls.
Coding? +
No.
Compare more than two? +
Yes.
Free? +
Yes—Gumroad at $0.