What is domain-scoped web search?
Domain-scoped web search restricts a query to one or more specific domains, returning results only from those sources. Instead of querying the entire web, the search is filtered to a curated set of sites: a documentation portal, a news outlet, a competitor's domain, or a list of authoritative sources. This gives AI agents precise control over where answers come from, rather than relying on a general index to surface relevant pages.
| Factor | Open web search | Domain-scoped search |
|---|---|---|
| Result sources | Any indexed page | Only the specified domain(s) |
| Noise level | Higher: off-topic pages can rank | Lower: results stay on-topic by construction |
| Use case | Discovery and broad research | Targeted lookup within known sources |
| Source trust | Varies | Controlled by the caller |
| Query syntax | Plain query | Query plus domain filter or site: operator |
Domain scoping is most useful when the agent already knows which sources to trust. Searching documentation sites for API references, monitoring a specific competitor's blog, or limiting news queries to known publishers are all cases where unrestricted search adds noise without adding value. It also reduces prompt bloat: results from irrelevant domains waste context window space and can mislead the model. For agents that need to verify facts from authoritative sources, scoping the search to those sources is more reliable than hoping the right page ranks highly in a general query.
Firecrawl's Search API supports domain filtering directly as a search parameter. Agents can target specific sites per query without building custom URL filtering or post-processing logic.
data from the web