In brief: A full-text search engine creates an index of text content and, based on a query, returns matching documents or pages sorted by its own relevance rules.
How I use a Full-text search engine in practice
With a Full-text search engine, I begin by checking the actual output, not settings in the administration. I verify the URL, status response, HTML, behaviour without JavaScript, and the user's mobile path. Then I review logs or tools, establish the impact on important pages, and rank fixes by risk. One verified URL is often more useful than a long export without context.
What to watch for
A common error is to mistake declared settings for actual behaviour. With a Full-text search engine, I always test the resulting response and several address variants. An automated crawler helps find a pattern, but it does not determine commercial priority or the right content replacement.
Questions for decisions
- What exactly does the server return, and what does a person see at an important URL?
- Is it an individual error, or a pattern in a shared template?
- What is the impact on discoverability, use, or conversion?
- How will we test the change before a broad deployment?