Quality Rater — Sample Case File

Would Google's own raters trust this article?

Subject: "Canggu Yield Report: Batu Bolong, Berawa, and Pererenan", a public real-estate investment article, evaluated against Google's Search Quality Rater Guidelines (September 2025 edition). Chosen as a demo because it makes a mistake thousands of business blogs make.

3/10
Projected: Low Quality YMYL: Yes — financial Fixable to ~7/10

Real data, real charts, real effort. Google's rulebook would still file it under Low Quality. Not because the numbers are wrong. Because nothing on the page proves they're right.

Step 1 — Is this YMYL?

Yes, unambiguously. The article tells readers where to put hundreds of thousands of dollars of property investment. Under Section 2.3 of the guidelines, financial-decision content gets the strictest possible standards for trust and expertise. Everything below is judged against that bar. A recipe blog gets graded on a curve; an investment report does not.

Step 2 — The Trust gap

Trust is the center of E-E-A-T. The guidelines call it "the most important member of the family." This page has four holes in it:

1. Precise numbers, zero methodology

"Berawa peaks at IDR 136M monthly revenue. Pererenan holds 90% occupancy in October." Precise to the decimal. The page never says where a single number comes from. Their own booking data? A guess? A rater cannot tell, so a rater cannot trust it.

2. Author: "Marketing Team"

No individual stands behind the analysis. For YMYL content, an anonymous byline reads as "nobody is accountable for this advice."

3. The undisclosed conflict

The platform rating these neighborhoods sells villas in these neighborhoods. That's not automatically disqualifying. Undisclosed, it turns analysis into advertising. The verdict section recommends the publisher's own inventory.

4. No disclaimers at all

Investment content with no "past performance" caveat, no risk note, no date-of-data statement. The guidelines treat missing safety rails on financial advice as a harm signal, not an oversight.

Step 3 — Main content check

What's genuinely good

The comparative structure (three neighborhoods, season by season) is original analysis, not repackaged content. The charts are real effort. The title matches the content: no bait and switch. This is why the score is 3 and not 1.

What drags it down

The closing sections abandon analysis for sales copy: "cash machine," "trophy home," "defensive shield." A rater reading "Our Verdict" sees a pitch, not a conclusion. Persuasion language in the data sections contaminates trust in the data itself.

Step 4 — What would change the score

FixEffortScore impact
Add a methodology box: "Data: 214 managed properties, Jan–Dec bookings, collected via our PMS." One paragraph.30 min+2, turns the conflict into a moat: nobody else HAS this data
Name a real author: a person with a title, photo, and a two-line bio linking to their profile.15 min+1
Disclose the relationship: "We manage rentals in all three areas; this is our own portfolio data."10 min+1, disclosure converts bias into first-hand Experience, the E the guidelines reward most
Add investment disclaimers and a data-collection date.10 min+0.5
Move the sales pitch out of the verdict into a clearly separated CTA block.20 min+0.5

The twist: this article's biggest weakness is one paragraph away from being its biggest strength. First-party booking data from hundreds of managed villas is something no competitor and no AI can fake. Stated openly, it's the most defensible E-E-A-T asset a local business can own. Unstated, it's just marketing with charts. Roughly 90 minutes of edits separate a 3 from a 7.

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