Official statement
Google heavily relies on artificial intelligence for automatic spam detection, combined with manual actions. The results of manual actions are then fed back into the algorithms to improve large-scale detection.
2:22
Other statements from this video 10 ▾
- 6:32 Is Desktop Page Experience set to revolutionize your SEO strategies?
- 18:38 Is it true that indexing XML sitemaps doesn't really matter?
- 44:38 Should you report spammy sites in Google search results?
- 48:50 Do legal interstitials really have no impact on your SEO?
- 51:39 How do Core Web Vitals really impact SEO with CrUX data?
- 52:00 Why do real-world data outshine Lighthouse for your SEO performance?
- 54:54 Is your site truly ready for Mobile-First Indexing?
- 59:38 Do multiple H1 tags really impact your SEO?
- 61:44 Which is better for optimizing crawl budget: robots.txt or noindex?
- 64:25 Should you really implement all recommended properties for structured data?
Official statement from
(5 years ago)
⚠ A more recent statement exists on this topic
How Can SEO Professionals Control AI Crawler Access to Maximize Their SEO Perfor...
View statement →
TL;DR
Google leverages AI to automatically detect spam and combines this with manual actions. These actions are integrated into algorithms to enhance large-scale detection.
❓ Frequently Asked Questions
Comment l'IA affecte-t-elle les sanctions liées au spam ?
L'IA permet une détection plus rapide et précise, ce qui peut accélérer la sanction des sites identifiés comme spammeurs.
Les actions manuelles humaines sont-elles encore nécessaires ?
Oui, car elles corrigent les erreurs potentielles de l'IA et enrichissent les algorithmes avec des données réelles.
Puis-je automatiser toutes les tâches liées au spam ?
Non, un équilibre entre automatisation par l'IA et interventions humaines est nécessaire pour un résultat optimal.
🎥 From the same video 10
Other SEO insights extracted from this same Google Search Central video · duration 1h11 · published on 27/05/2021
🎥 Watch the full video on YouTube →
💬 Comments (0)
Be the first to comment.