A search engine crawls the web, indexes pages and ranks them for every query. Learn how it works, the main players, ranking signals and the link with GEO.

Summary
A search engine is software that crawls the web, stores pages in an index and returns, for each query, a list of results ranked by relevance.
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A search engine is software that explores the web with bots, stores the content of pages in a huge database called an index, then selects and ranks the most useful pages every time someone types a query. Google, Bing, Yandex, Baidu, Naver, DuckDuckGo and Ecosia are the best-known examples.
Understanding how a search engine works is the foundation of all SEO work: every optimization, from a page title to server speed, serves one of its three stages, crawling, indexing or ranking. AI assistants such as ChatGPT, Perplexity and Gemini also rely on search indexes to find the sources they cite.
A search engine is an information retrieval system working at web scale. It has three building blocks: a crawler that discovers pages by following links and sitemaps, an index that stores a representation of every page, and a ranking algorithm that orders pages for a given query. The output is displayed on a search engine results page (SERP).
There are general engines covering the whole web (Google, Bing), engines that reuse another one's index (DuckDuckGo and Ecosia rely largely on Bing), vertical engines specialized in one type of content (Google Images, Google Scholar, YouTube, Amazon for products) and internal site search. The principle stays the same: crawl, index, rank.
Google describes its own process in three stages. First crawling: Googlebot downloads the pages it discovers through links, XML sitemaps and URLs it already knows. Then indexing: the engine analyzes text, images, tags and structured data, groups duplicates and picks a canonical URL. Finally serving results: for each query, it looks up matching pages in the index and ranks them.
A page has to pass all three stages to appear. A page blocked in robots.txt is not crawled, a page marked noindex is not indexed, and a page that is indexed but weakly relevant stays far down the results. That is why every audit starts by checking that important pages are crawlable and indexed.
Ranking relies on hundreds of signals grouped into broad families: relevance of the content to the intent of the query, quality and trustworthiness of the page (the E-E-A-T criteria), authority brought by inbound links, page experience (speed, mobile friendliness, security) and the searcher's context (language, location, device).
Since 2015 Google has also used machine learning systems such as RankBrain, then BERT and MUM, to understand the meaning of queries rather than match words. The engine compares meanings, which explains why a well structured, complete page on a topic can rank for queries it never states word for word.
Google dominates the global market and handles over 90% of searches in most European countries according to public StatCounter data. Bing is the second general engine and powers several other services, including part of Microsoft Copilot's answers. Some markets have a local leader: Baidu in China, Yandex in Russia, Naver in South Korea.
Add the platforms that behave like search engines without the name: YouTube for video, Amazon for products, TikTok and Instagram for many younger users. A complete visibility strategy accounts for where your audience actually searches.
A browser (Chrome, Safari, Firefox) is the software that displays web pages; it ships with a default search engine, but the two are different things. A search engine returns a ranked list of links, while generative AIs such as ChatGPT, Perplexity or Gemini write an answer in natural language and sometimes cite their sources.
The two worlds are converging: Google shows AI Overviews above its results, and the AIs query search indexes in real time to ground their answers. A page that is well indexed and well ranked is therefore more likely to be read, then cited, by the AIs.
SEO is the work of making a site easy to crawl, index and rank. GEO extends that work to the AIs: they rely on indexes (Bing's for part of ChatGPT, Google's for Gemini and AI Overviews) to find reliable sources. The same technical and editorial foundation therefore serves both channels.
A site that is visible on search engines publishes useful content regularly, organized in topic clusters and connected by clear internal linking. This is exactly what Sorank's blog article generator automates, publishing articles optimized for Google and for the AIs.
The first mistake is blocking crawling by accident, for example by leaving a Disallow rule inherited from a staging environment, or a noindex tag on strategic pages. The second is publishing many near-identical pages that compete for the same query, which dilutes relevance signals.
The third mistake is writing for an algorithm instead of a reader: keyword stuffing, generic text, pages created only to capture traffic. Google's systems are designed to reward helpful, people-first content, and the AIs favor clear, verifiable sources.
A search engine crawls, indexes and ranks the pages of the web to answer each query. Understanding these three stages helps you diagnose why a page does not appear and prioritize the right optimizations. The AIs rest on the same foundations, which makes classic SEO the base of generative visibility.
To go further, read our definitions of indexing and the SERP. Reference sources: Google Search Central and Wikipedia.
Sources
A browser (Chrome, Safari, Firefox) is the software that displays web pages. A search engine (Google, Bing) is the service that finds and ranks pages for a query. A browser ships with a default search engine, which you can change in its settings.
Its bots follow links from pages it already knows, read XML sitemaps and process URLs submitted in tools such as Google Search Console. A page with no inbound link and missing from the sitemap can stay unknown for a long time.
Both uses coexist. AI assistants such as ChatGPT, Perplexity and Gemini answer in natural language, but they often rely on search indexes to find their sources. Being well indexed and well ranked remains the foundation for being cited by the AIs.
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