How do search engines use SEO?
Search engines use SEO to improve the visibility and ranking of websites on search engine results pages. It involves various tactics and disciplines such as research, analysis, design, marketing, and content production with the aim of generating more website traffic and sales – it does this by answering the key questions of visitors and search engine crawlers (bots that search and index website content). SEO depends on the algorithms of different search engines, which often change over time.
SEO works by demonstrating to search engines that your content is the best result for the topic at hand. This is because all search engines have the same goal: to show the best, most relevant results to their users.
You can perform simple SEO yourself by identifying missing site- or page meta titles, which are often found as ‘summary’ blocks in the back-end editing area of your site, and these simply need filling out with keywords pertinent to your product and search.
If you want to learn more about SEO, you can check out Google’s ‘Search Engine Optimization (SEO) Starter Guide’ which provides an overview of how SEO works and tips on how to improve your website’s ranking on Google.
Understanding website algorithms
People often think that when they create a job advert it will automatically appear at the top of the search results. Firstly, if that was the case, everybody would be following it so whose job would be placed at the top? Secondly, the Google algorithm is a heavily guarded industry secret. We are only made aware of some key ranking factors, which are constantly revised.
When a great deal of time is spent on producing engaging content, make sure Google can see it. Correct use of HTML headings (defined by <h1> to <h6> tags) makes it easier for Google to find and read your content and improves ranking by following best practice.
Ensure that all pages are populated with meta descriptions (this will be displayed as the page description on the search results page).
Website algorithms for recruitment can have different functions, such as sourcing, filtering, or matching candidates to jobs. They use data from online sources, such as resumes, social media, or public databases, to analyse the skills, qualifications, and preferences of potential candidates. They can also use predictive analytics to estimate the future performance of employees in their new companies. However, website algorithms can also introduce bias in the hiring process, such as discrimination, unfairness, or inaccuracies.