Web Crawling
The automated process by which search engines and AI systems discover and download web pages by following links across the internet.
Web Crawling is the foundational process that enables both traditional search engines and AI answer engines to discover, collect, and index content from across the internet. Without crawling, no content can appear in search results or be cited in AI-generated answers.
How Web Crawling Works
The Crawling Process
Web crawlers, also known as spiders or bots, are automated programs that systematically browse the internet to discover and download web pages.
Step-by-Step Process:
- The crawler starts with a list of known URLs (seed URLs)
- It sends an HTTP request to fetch a page
- It downloads the HTML content of the page
- It parses the page to extract text, metadata, and links
- Discovered links are added to the crawl queue
- The process repeats for each new URL in the queue
Major Crawlers
| Crawler | Operator | Purpose |
|---|---|---|
| Googlebot | Google Search and AI Overviews | |
| Bingbot | Microsoft | Bing Search and Copilot |
| GPTBot | OpenAI | Training data and ChatGPT browsing |
| ClaudeBot | Anthropic | Training data collection |
| PerplexityBot | Perplexity | Real-time AI search retrieval |
| CCBot | Common Crawl | Open web dataset for research |
| AppleBot | Apple | Siri and Apple Intelligence |
Crawl Budget
Search engines allocate a finite crawl budget to each website, which determines how many pages are crawled and how frequently. Crawl budget is influenced by:
- Site authority and popularity - More authoritative sites receive larger budgets
- Server responsiveness - Faster servers allow more efficient crawling
- Content freshness signals - Frequently updated content triggers more frequent crawls
- Site size - Larger sites may not have every page crawled on each visit
- Internal linking - Well-linked pages are discovered and crawled more reliably
Crawling vs. Indexing
Important Distinction
Crawling and indexing are separate processes that are often confused:
| Stage | Process | Outcome |
|---|---|---|
| Crawling | Bot downloads the page content | Raw page data collected |
| Parsing | Content is analyzed and structured | Text, links, and metadata extracted |
| Indexing | Content is added to the search index | Page becomes searchable |
| Ranking | Indexed pages are evaluated for relevance | Pages ordered for query results |
A page can be crawled but not indexed (if it has a noindex directive or is deemed low quality), and a page cannot be indexed if it has not been crawled.
Controlling Crawler Access
robots.txt
The robots.txt file, placed at the root of a website, provides instructions to crawlers about which pages they are allowed or not allowed to crawl.
Example:
User-agent: *
Allow: /
User-agent: GPTBot
Disallow: /private/
Disallow: /internal/
Sitemap: https://example.com/sitemap.xml
Meta Robots Tags
Individual pages can include meta tags that instruct crawlers on indexing behavior:
noindex- Do not add this page to the search indexnofollow- Do not follow links on this pagenoarchive- Do not cache this pagenosnippet- Do not show a text snippet in search results
X-Robots-Tag HTTP Header
Similar to meta robots tags but applied at the server level via HTTP headers. Useful for controlling crawler behavior on non-HTML files like PDFs and images.
Web Crawling for AI Systems
The AI Crawling Landscape
AI companies have introduced their own crawlers alongside traditional search engine bots. These AI-specific crawlers serve two distinct purposes:
Training Data Collection:
- Crawling web content to build datasets for model training
- Typically large-scale, infrequent crawls
- Content is incorporated into the model’s parametric knowledge
Real-Time Retrieval:
- Crawling content to answer specific user queries
- Triggered on demand, targeting relevant pages
- Content is used to augment the model’s response with current information
Choosing What to Allow
Website owners face decisions about which AI crawlers to permit:
| Consideration | Allow Crawling | Block Crawling |
|---|---|---|
| AI visibility | Content can be cited in AI answers | Content is invisible to AI systems |
| Traffic impact | May reduce direct website visits | Preserves click-through traffic |
| Content control | Content may be used for training | Protects intellectual property |
| Brand presence | Brand appears in AI responses | Brand absent from AI ecosystem |
Optimizing for Effective Crawling
Technical Best Practices
- Submit XML sitemaps listing all important pages with last-modified dates
- Ensure fast server response times to maximize crawl efficiency
- Fix broken links and redirect chains that waste crawl budget
- Use canonical tags to prevent duplicate content confusion
- Implement clean URL structures that crawlers can easily parse
Content Accessibility
- Avoid hiding critical content behind JavaScript that crawlers cannot execute
- Ensure content is accessible in the initial HTML response
- Use server-side rendering or static generation for important pages
- Provide text alternatives for content in images, videos, and interactive elements
Internal Linking
Strong internal linking ensures crawlers can discover all important pages:
- Link to key pages from the homepage and main navigation
- Use descriptive anchor text that signals page content
- Create logical site hierarchies that crawlers can follow
- Avoid orphan pages with no internal links pointing to them
Monitoring Crawl Activity
Log File Analysis
Server log files record every crawler visit, providing insight into:
- Which pages are being crawled and how often
- Which crawlers are visiting your site
- Crawl errors and failed requests
- Crawl patterns and frequency trends
Google Search Console
Google Search Console provides crawl statistics including pages crawled per day, crawl response codes, and any crawl issues encountered by Googlebot.
Why It Matters for AEO
Web crawling is the gateway to AI visibility. If your content cannot be crawled, it cannot be indexed, retrieved, or cited by AI answer engines. As AI search systems like Perplexity, ChatGPT, and Google AI Overviews rely on web crawling to source their information, ensuring your content is accessible to the right crawlers is a prerequisite for any AEO strategy.
Beyond simply allowing crawling, optimizing the crawl experience means ensuring your most important, most authoritative content is discovered first, updated frequently, and structured in a way that makes extraction straightforward. The decisions you make about which crawlers to allow, how your site is structured, and how quickly your server responds all directly impact whether your content appears in AI-generated answers.
Related Terms
AI Search
AIA new paradigm of information retrieval where artificial intelligence systems generate direct answers to queries by synthesizing information from multiple sources, rather than returning a list of links.
Crawlability
SEOThe ease with which search engines and AI systems can discover, access, and navigate through a website's pages to index content for search results and data retrieval.
Indexation
SEOThe process by which search engines and AI systems discover, analyze, and store web pages in their databases, making them available for retrieval in search results and AI answers.