How Google ranks results
For each search, Google’s systems weigh many factors, which Google groups into a few areas:
- Meaning: what the searcher is really asking, including synonyms and intent.
- Relevance: which pages contain information that matches the search.
- Quality: which pages seem most helpful and reliable, showing experience, expertise, authoritativeness and trustworthiness (what Google calls E-E-A-T).
- Usability: whether the page works well, for example on mobile and in terms of speed.
- Context: the searcher’s location, language and settings.
Well-known ranking systems and updates
- PageRank: Google’s original way of using links to judge how important a page is.
- Panda (2011) and Penguin (2012): targeted low-quality content and manipulative links. Both are now part of the core systems.
- Hummingbird (2013), RankBrain (2015) and BERT (2019): helped Google understand language and the meaning behind searches.
- Helpful content system (2022): rewarded content made for people rather than for search engines. It became part of the core ranking systems in 2024.
- SpamBrain: Google’s AI-based system for detecting spam.
Core updates
Several times a year Google releases core updates: broad changes to how its systems assess content, during which rankings can move a lot. Google’s advice is not to chase quick fixes but to focus on helpful, reliable content. Sites can recover in later updates as their content improves.
Other search engines
Every search engine has its own search algorithm. Bing, for example, lists relevance, quality and credibility, user engagement, freshness, location and page load time among its ranking factors. The principles are much the same, so pages that do well on Google usually do well on other search engines too.