How Google learned to recognize lies in reviews

A couple of years ago, you could write a bunch of fake reviews, spice them up with keys, and the page would quietly grow to the top. Now it doesn't work. Google doesn't believe words anymore. It checks the rhythm and structure of lies.

When you write:

«Best casino, withdrew money in 2 minutes, customer service is super!» - the robot does not see this as content from the user, but recognizes the flattery pattern and pessimizes it.

He knows no one writes like that.

Real reviews aren't perfect. There are typos, doubts, annoyances. And Google now calculates that in one, two, three.

What he's looking at:

• Positive Density. If 10 out of 10 reviews are enthusiastic, you're being cut on trust.
• Verb tempo. In living people, «waited, received, withdrew». In artificial people, «play, win, recommend».
• Context of time. People write about the past, machines write about the eternal present.
• Background of emotion. A normal review is rarely «sparkling». It's boring, mundane.

How to adapt

It's time to stop writing «proper» reviews. Better three raw ones with a human tone than ten polished ones. Better «pisses me off that I waited a long time for a payout, but it still came» than «instant payouts and reliable support». Google now ranks sincerity.

And yes, this metaphor isn't just about SEO.

Life, like rendition, always lifts up those who are not afraid to be imperfect.