What Is the Google Algorithm?
The Google algorithm is not a single rule or formula but a collection of interconnected systems that work together to assess and rank content. When a user submits a query, Google's systems retrieve relevant documents from its index, evaluate them against hundreds of ranking signals, apply machine learning models to interpret intent and quality, and return an ordered list of results within milliseconds. The goal of each of these systems is the same: to match the user's intent with the most helpful, relevant, and trustworthy result available.
Google updates its algorithm continuously. Most updates are small, data-driven changes made without public announcement. Others are significant enough to produce visible ranking changes for websites across entire industries. Google classifies these larger changes as Broad Core Updates and announces them via its Search Central blog and social media channels. Between broad core updates, Google also releases targeted updates focused on specific quality problems, such as spam, product review quality, or unhelpful AI-generated content.
The history of named algorithm updates traces the evolution of what Google considers quality. Panda (2011) targeted low-quality content farms and thin-content sites that had accumulated rankings through volume rather than value. Penguin (2012) targeted manipulative link schemes, penalising sites with unnatural backlink profiles. Hummingbird (2013) shifted Google away from pure keyword matching toward semantic understanding, allowing it to interpret the meaning behind a query rather than matching individual words. RankBrain (2015) introduced machine learning to help Google handle queries it had never seen before, using patterns from historical data to predict what results would satisfy a novel query. BERT (2019) applied a transformer-based natural language model to better understand the context of words in relation to one another, particularly for long, conversational queries. MUM (2021) added multimodal understanding, allowing Google to reason across text, images, and eventually video within a single query response.
More recent updates have focused on content quality in the era of AI content generation. The Helpful Content Update, introduced in 2022 and folded into the core ranking systems in 2023, targets content written primarily to rank in search rather than to genuinely help a specific audience. It rewards content that demonstrates first-hand experience, depth of expertise, and a clear understanding of what the intended reader actually needs. This update has had significant impact on South African content publishers who relied on templated or thinly differentiated informational content.
For SEO practitioners, understanding the algorithm means building sites and content that align with what Google's systems are designed to reward: clear, accurate content with demonstrable E-E-A-T, fast and accessible page experiences measured through Core Web Vitals, authoritative and relevant links, and technical structures that allow Googlebot to crawl and index content efficiently.
Google Algorithm In Practice
A Johannesburg-based financial news publisher sees a sharp drop in organic traffic following a Broad Core Update. The site had been producing high volumes of market commentary articles, many of which were not attributed to named authors and lacked citations to primary sources. The drop is concentrated on articles covering JSE-listed stocks and investment products, which are YMYL topics subject to stricter E-E-A-T evaluation.
To recover, the publisher assigns named financial journalists with verifiable credentials to all investment-related content, adds detailed author bios linking to LinkedIn profiles and relevant publications, updates articles to cite SARB statements, JSE announcements, and FSCA regulatory notices directly, and removes or consolidates thin articles that add no unique perspective. Over two subsequent core update cycles, the site recovers its previous positions and gains additional rankings for financial queries where weaker, unathoritative competitors were also affected by the update.
FAQ
How often does Google update its algorithm?
Google makes thousands of small changes to its algorithm each year, most of which are unannounced and imperceptible. Broad Core Updates are major changes rolled out several times per year, typically over one to two weeks. Named updates targeting specific problems, such as spam, product reviews, or unhelpful content, are announced separately and may run concurrently with core updates.
What should South African businesses do after a Google algorithm update?
After a Core Update, wait for the rollout to complete before drawing conclusions. Check Google Search Console for changes in impressions, clicks, and average position by page and query. Identify pages that dropped and assess them against Google's quality guidelines, particularly E-E-A-T signals and content helpfulness. Avoid making reactive changes during the rollout window itself.