Official statement
Google employs highly effective and comprehensive machine learning models to automatically detect and address the majority of obvious spam. These models are trained on years of data and signals accumulated by Google.
Other statements from this video 13 ▾
- □ How does Google manage to uncover 40 billion spam pages daily?
- □ What triggers Google to send partial spam notifications?
- □ How is Google combating customer support scams?
- □ Why Did Google Send So Many Search Console Messages?
- □ How essential is Search Console in fighting against SEO hacks?
- □ Is it true that outdated CMS can leave your site vulnerable to hacking?
- □ How does Google really handle spam reports?
- □ Is it a mistake to focus solely on one external metric for SEO?
- □ Why Does Google Rely on Hundreds of Ranking Signals?
- □ How does Google narrow down results to just 10,000 before reordering them?
- □ How do floating numbers change the SEO results ranking?
- □ How does HTTPS really impact your SEO?
- □ Why are ranking scores relative to a specific set of results?
Official statement from
(4 years ago)
⚠ A more recent statement exists on this topic
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TL;DR
Google leverages machine learning to automate spam detection. The models are accurate, built on years of data. For SEOs, focusing on clean practices becomes crucial to avoid penalties.
❓ Frequently Asked Questions
Le machine learning remplace-t-il les algorithmes manuels de Google ?
Non, il agit en complément pour améliorer la détection du spam.
Dois-je ajuster ma strategie SEO suite a cette declaration ?
Si vos pratiques sont éthiques, non. Sinon, adaptez-les pour éviter le risque.
Le machine learning peut-il identifier des erreurs SEO 'classiques' ?
Principalement pour le spam évident. Les mesures manuelles sont toujours nécessaires.
🎥 From the same video 13
Other SEO insights extracted from this same Google Search Central video · published on 06/07/2021
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