Before a search engine can show your page, it first needs to know that the page exists and what is on it. That happens through crawling: automated programs, called crawlers or bots, move from link to link and fetch the content of pages. Googlebot is the best known, but Bing and the AI companies behind ChatGPT, Perplexity and other tools also send out their own crawlers.
Crawling is the first step in a sequence. After fetching comes processing and possibly inclusion in the index, and only then can a page appear in search results or in an AI answer. If a page is never crawled, it essentially stays invisible to those systems.
Crawlers discover new URLs in a few ways:
A page that no link points to, known as an orphan page, is therefore hard to find. Good internal links are essential.
Being found is one thing; being read is another. A few factors play a part:
More and more businesses are wondering whether they should allow AI crawlers. Some bots collect data to train language models; others fetch pages live to answer a user's question. If you block that second group, you reduce the chance that ChatGPT Search or Perplexity uses your page as a source. So it is a conscious trade-off. The llms.txt file is a more recent proposal for giving AI systems an overview of your most important content, although support for it is still limited.
A dental practice in Leeds launches a new website. During development, the site was rightly hidden from search engines, but that block in robots.txt was left in place at launch. Weeks later, the site still can't be found in Google. After the rule is removed and the sitemap is submitted in Search Console, the pages are crawled again. It is a common mistake that you can avoid with a simple check after every launch.
For large sites, crawl budget also comes into play. If you want this checked thoroughly, a technical SEO analysis gives you a clear overview of crawl issues and blocks.
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