Is your content
commodity content?
Google said the quiet part loud in 2026: they don't want commodity content. Run an article through this scanner and find out if yours reads like every other listicle, or like something only you could have written.
Free. First scan runs without an account. Create a free account to save results and run it more often.
What this scanner does.
We don't care if your article was written by AI. Plenty of good articles use AI. The question is whether it reads like commodity slop: generic phrasing, no specific experience, no proprietary angle, nothing that proves a real person with a real perspective made it.
Paste an article URL or paste the text directly. The scanner reads the piece and runs 12 specific checks against Google's 2026 commodity content framework.
You get back a verdict (commodity / mixed / specific), a per-signal breakdown, and concrete fixes you can apply in 10 minutes. Not a generic score with a vague "improve your content" tag.
The framework comes from the official Google Search Quality Rater Guidelines and from Google's own 2026 presentations on the topic. We didn't invent it. We made it runnable in 60 seconds.
Who this is for.
Bloggers who use AI to draft and want a pre-publish sanity check before shipping.
Content marketers auditing their team's output before publishing or running a quarterly content review.
Site owners worried that traffic loss in 2025 was tied to commodity content signals.
SEO consultants running client audits who want a defensible framework, not a vibes-based opinion.
What "commodity" actually means.
Same business. Same topic. One version reads like the seventeen other articles on Google's first page. The other version could only have been written by the person who actually runs that business.
A specialty running shoe store
"The 7 Best Running Shoes of 2026 (Ranked)"
Same article exists on a hundred other sites. Affiliate links to the same Amazon ASINs. No fitting experience, no real customers, no specific reason this list is different.
"Why I stopped recommending zero-drop shoes after fitting 4,200 runners in our Boston store"
First-person experience. Real numbers. Real opinion you can disagree with. Could only have been written by someone who actually fits runners for a living.
A real estate agent
"Top 10 Neighborhoods in Austin for First-Time Buyers"
Could be written from public listing data without ever visiting Austin. Generic median-price stats. No specific street, no specific transaction, no actual buyer story.
"Inside the East Austin flip where I found two layers of asbestos under the kitchen tile (and what it cost the buyer)"
One specific house. Real dollar amounts. A story the agent personally witnessed. Useful to a buyer thinking about flips in that area in a way no listicle ever will be.
An interior designer
"10 Color Trends for Living Rooms in 2026"
Reads like a press release. Trend names lifted from a paint brand's mood board. No specific client, no specific room, no opinion to push back against.
"Three high-end clients asked for the same green this year. Here's the supplier story behind it."
A pattern only this designer could have noticed. A backstage view of sourcing. Specific enough that another designer would learn something concrete from reading it.
The 24 signals behind the score.
Three layers, derived from Google's E-E-A-T framework and from the 2026 commodity content talks. The free scanner runs the first two layers in real time. The third layer needs paid data sources, so we show you what's in it without analyzing it. Honest tier.
On-page signals
What we read directly from the article text.
- ● First-hand opinions and takes
- ● Specific stories and incidents
- ● Proprietary numbers or data
- ● "I tried / I tested" language
- ● Real research or citations
- ● Authoritative, non-hedged voice
- ● Honest framing of limitations
- ● Strong external citations
Site-level signals
One extra fetch of the author and about pages.
- ● Author page exists and has bio
- ● Verifiable credentials shown
- ● Real-person author (not anonymous)
- ● Brand About page with substance
Off-page signals
Need paid data sources. Listed here so you know what the full picture looks like.
- ○ Press mentions
- ○ Peer citations
- ○ Quality backlinks
- ○ Brand search volume
- ○ Brand mentions in search
- ○ Quality reviews
- ○ Positive sentiment
- ○ User-generated content
- ○ Author's work elsewhere
- ○ Site age and velocity
- ○ Topical reputation
- ○ Domain trust signals
Questions people ask.
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We don't care if your article was written by AI. We score whether it reads like commodity slop. AI detectors are an arms race that doesn't actually answer the question Google is asking. Plenty of good articles use AI. The thing that loses ranking is generic, no-experience, no-perspective content. That's what we measure.
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Google's Search Quality Rater Guidelines and Google's 2026 public presentations on commodity content. The 24-item framework is our breakdown of what those documents describe. We didn't invent the signals. We made them runnable in 60 seconds against an actual article.
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Those signals require paid data sources (Ahrefs, Semrush, Moz). The free tool runs without an API budget, so we keep it to what we can read from the article and one extra page fetch. We list the off-page signals openly so you know they exist and so the score isn't pretending to be a full picture.
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No. Scoring high removes one specific failure mode (commodity content signals). Ranking depends on many other factors: search demand, competition, link authority, technical health, content shape match, and a dozen other things. Be honest with yourself about that. This tool tells you whether your content is the kind of content Google can rank. It does not promise that it will.
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Yes. First scan needs no signup. Three reruns per month if you give us your email. Ten or more per month if you create a free account. We hope you eventually try the full SitePerfector product. We won't gate this tool to push you there.
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We send it to the language model we use for scoring. We don't sell it. We don't train on it. If you create a free account, the result saves to your workspace so you can look at it later. If you don't, the scan is ephemeral.
Save your scans.
Run the scanner more often.
Free account. Magic-link signup. No credit card. Your scan history persists and connects to the other tools.