Keyword Analyzer pulls the language that actually appears in your reviews and lets you set primary, secondary and optional keywords per location, which replies then use only where they genuinely fit.
The usual advice is to work your keyword into every reply. Do that and thirty consecutive responses on your profile all contain the phrase "affordable dental clinic in Manchester", which reads exactly as mechanical as it sounds, and the customer reading it decides you are a robot.
Forcing a keyword into a one-star apology is a genuinely bad look.
One keyword list across every branch ignores that branches differ.
The phrases you would pick are rarely the phrases customers actually type.
Nobody can tell you a Business Profile keyword rank, because Google does not expose one.
What Dropwebs does: Keyword Analyzer helps you store and evaluate Primary, Secondary, and Optional keywords for each location, compared with category, services, and review language.
Customer language
Dropwebs counts the terms customers actually used when describing your business, so you are working from evidence rather than instinct. Where the review set is too thin to support a conclusion, the tool marks the signal insufficient instead of ranking noise.
Priority tiers
Add as many keywords as you like and sort them into three tiers. Each location keeps its own list, so the airport branch and the high-street branch are not forced to share a vocabulary they do not share in real life.
Restraint
Keywords are passed to the reply engine as hints, not instructions. A reply uses at most two, in the language of the review, and only where they read naturally. Most replies use none, which is the correct number for most replies.
Open a location and add keywords with priority.
Review relevance against your reviews and profile.
Save keywords in Settings for that location.
When generating replies, AI may use 0 - 2 keywords only when natural.
Start from the words customers already used about you.
Different branches, different lists, no cross-contamination.
The reply engine skips a keyword rather than force it.
No invented keyword rank, ever.
Add a clear Primary phrase (for example, your main service + city).
Add Secondary phrases customers actually say in reviews.
Keep Optional phrases light - they may rarely appear in replies.
Never expect every reply to contain a keyword. Natural writing comes first.
Dropwebs does not report keyword rankings. Google Business Profile APIs do not expose per-keyword rank, so no such number is shown.
Customer language is drawn from your review text. A location with few written reviews will show few terms.
Keywords influence reply wording. They are not a ranking mechanism and are not presented as one.
What it does, what it will not do, and where the data comes from.
No. Ranking position is not available from the Google Business Profile API.
No. The reply engine is instructed to use at most 0 - 2 keywords only when they fit naturally.
Not here, and not honestly anywhere in this API. Google Business Profile does not expose per-keyword ranking data, so Dropwebs shows customer language and reply usage rather than a rank number it would have to invent.
No, deliberately. A reply uses zero to two keywords and only where they read naturally in the review's own language. Forcing the phrase into every response is what makes replies sound automated.
Free plan, no card. Connect Google and this tool has real data to work with in about a minute.
Workspace steps and real screens. This is a how-to, not a second overview of the tool.
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