What is Algorithm?
Definition
A search engine algorithm is a complex system of rules, signals, and calculations that determines which web pages appear in search results and in what order for any given query.
Why algorithm matters
Search algorithms matter because they determine visibility. With billions of web pages competing for attention, algorithms decide which content reaches users and which remains undiscovered.
Understanding algorithmic principles helps content creators focus on factors that genuinely improve rankings—quality, relevance, authority, and user experience—rather than chasing shortcuts that may work temporarily but fail long-term.
Algorithms evolve constantly as search engines refine their understanding of quality and intent. Staying informed about major updates helps maintain and improve search visibility over time.
Key concepts and types
- •Ranking factors
The hundreds of signals algorithms evaluate to determine page relevance and quality for specific queries. - •Algorithm updates
Regular changes search engines make to improve results quality, sometimes causing significant ranking fluctuations. - •Core updates
Major algorithm changes that reassess content quality broadly, often affecting many sites simultaneously. - •Machine learning integration
AI systems like RankBrain that help algorithms better understand query intent and content relevance. - •Spam detection
Algorithmic systems designed to identify and demote manipulative or low-quality content.
Common misconceptions
- ✕There's a single 'Google algorithm' rather than multiple interconnected systems
- ✕Algorithm changes always result in immediate ranking changes
- ✕Following algorithm updates means constantly changing your strategy
- ✕Algorithms can be 'gamed' reliably and sustainably
- ✕All ranking factors are equally weighted
Related terms
FAQs
How often do search algorithms change?
Search engines make thousands of small changes annually, with several major 'core updates' each year that can significantly impact rankings across many sites.
Can you optimize for algorithms without knowing exactly how they work?
Yes. While specific algorithmic details are proprietary, search engines publish guidelines about what they value: helpful content, good user experience, authority, and technical accessibility.
Why do rankings sometimes drop after algorithm updates?
Updates may reassess how well content meets quality standards or user intent. Drops often indicate opportunities to improve content depth, accuracy, or user experience.