How Google's algorithms affect content creation for users

«Да вообще пофигу на этот ваш фактчекинг! Я делаю контент для машины, а не для людей.»

- we keep hearing time and time again at conferences and in chat rooms.

We understand this approach. But even with it, the damned algorithms don't let us breathe and quietly generate content without all these editors

1. google algorithms try to focus on user behavior

Да, где-то можно услышать об отдельных кейсах, где текст был «оптимизирован под машину, а не под человека, и всё равно залетел».

But it is a living thing that is constantly being tweaked. And HCU, and SpamBrain, and E-E-A-T. All of these tools have the same goal - to make search better for humans. To do that, they need to:

• Check for semantic relevance and credibility
• Looking at user behavior
• Evaluate the credibility of the site. Facts are key here

In theory, of course, an over-optimized text can hang in the top for some time. Until the first update.

But if you want sustainability, you have to check every number.

2. Credible content is better integrated into AI results

AI models rank sources according to their level of credibility. If they detect contradictions, outdated or obviously unreliable information, they:

• take the site off the list
• lower its priority for future sampling
• take a competitor's site with more accurate information.

3. Reputational risks

We understand - one-day sites do not care about them in general. But if you make a review site, where the brand is important and that people time after time come back to you for information, I do not think it is necessary to explain the dangers of disregarding the facts.

There is another argument - best practices of majors. Major aff-projects order from us updates of brand reviews and bonuses with a frequency of 3/6/12 months

Have you ever had texts with outdated data fly to the top positions of Google?

- No, that's fantastic.
- Yes. What are you gonna do to me?
- I'm Google, and my preferences are pure randoms.