Free browser tool
Lead Radar keyword tester
See why a phrase would match before you use it in Lead Radar. Paste example posts, try exact and broad rules, and check what your exclusions remove.
- No sign-up
- Inputs processed in your browser
- Copy & download
- Set your rulesUse one keyword phrase per line or separate phrases with commas. Add negative phrases to exclude unwanted examples.
- Paste example postsSeparate up to 20 examples with a line of three dashes. The tool tests only the text you provide.
- Read the reasonSee the matching mode or negative veto. A phrase match does not establish buyer intent.
Your inputs stay in the tool. They are processed in this page and are not sent by the tool. The site’s normal analytics and consent rules still apply. The tool does not save your work; copy or download before leaving.
Use the actual matching behavior
This tool ships the same side-effect-free matching core as the Group Posting extension. It normalizes case, Unicode compatibility forms, smart quotes and hyphen variants on both the keyword and the post text. Terms are treated as literal text, not user-provided regular expressions.
Exact phrases match a contiguous sequence. Broad rules require every token but allow a different order. Negative rules use the same phrase boundaries and veto first. For scripts normally written without spaces, the core uses substring matching for the phrase.
Use examples that include both relevant and irrelevant conversations. A broad rule can find more text without making that text useful for your business. Read the original conversation and the group’s rules before deciding whether to reply.
Illustrative example
recommend a bakery matches “Can anyone recommend a bakery near Riverside?”. A broad birthday cake rule also matches “Birthday coming up — where should I buy a cake?”.
A negative free rule excludes “Looking for a free birthday cake”, but does not exclude “I’m a freelancer looking for a cake”. The word boundary matters.
Common questions
What is the difference between exact and broad matching?
Exact matching looks for the contiguous keyword phrase with Unicode word boundaries. Broad matching requires every token in the phrase, in any order. The native engine uses substring matching for phrases containing scripts normally written without spaces.
Why did a negative phrase remove a positive match?
Negative phrases are checked first. If one matches, the example is excluded and positive rules are not evaluated. Exclusions use the same phrase boundaries, so free does not exclude freelancer.
Does a match mean this person is a buyer?
No. It means the pasted text matched your rules. This tool does not scan Facebook, verify people, qualify intent or send messages. Read the actual conversation before deciding whether a reply is useful.
Technical references: The published native matching core · MDN: Unicode normalization.