What people actually search about Botox — and why it isn't "near me"
We pulled every Botox-related search phrase our catalogue could find — 320 of them — and grouped them by what the person was actually trying to find out. The result is lopsided. Questions about whether Botox suits a specific problem draw 11,550 searches a month. Questions about price draw 2,110. Questions about where to go draw 830. One phrase, "masseter botox", outdraws every price and location question combined. Most clinic websites are organised the other way round.
What do people actually type when they look for Botox?
The bare word "botox" is the biggest single phrase, as you would expect from any category term. What is not expected is what comes second. "Masseter botox" — jaw slimming, teeth grinding — draws 5,400 searches a month on its own. It is not a brand, it is not a neighbourhood, and it is not a price. It is a problem.
Below it the pattern repeats: Botox for migraines, crow's feet, under the eyes, the trapezius, underarms. Every one of them is somebody describing a body part or a symptom, not a service on a menu.
Is it price, location, or something else?
We group phrases into the concern behind them, so a clinic can see what the market is actually worried about rather than which words happen to be popular. Across 320 phrases and 45 distinct concerns, one group dominates.
Questions about fit — will this work for my jaw, my migraines, my dark circles — draw 11,550 searches a month. Price questions draw 2,110. "Near me" and its variants draw 830. That is roughly five times more interest in whether the treatment suits you than in what it costs, and fourteen times more than in where to get it.
This is worth sitting with, because the standard local marketing playbook is built almost entirely on the smallest of those three numbers.
Does the same pattern hold for fillers?
Yes, and more starkly. Across 166 filler phrases, fit questions draw 5,830 searches a month against 540 for price and 320 for location.
The single biggest filler phrase is not the category term at all. It is "dermal fillers under eyes", at 1,600 a month — ahead of the generic phrase people assume is the prize. Under-eye hollows, nasolabial folds, marionette lines, jowls, jawline: the top of the list reads like a list of complaints, because that is what it is.
Why does this change how a website should be organised?
Most clinic sites are a service menu and a map. Botox, fillers, facials, contact, book now. That structure answers the question with the least demand behind it and leaves the biggest one unanswered.
An AI assistant answering "who does masseter Botox for jaw clenching in Toronto" is looking for a page that talks about jaw clenching. If your site has a page called "Botox" that lists units and prices, there is nothing for the engine to match beyond your address. It will name whoever wrote the page about the jaw.
The fix is not more pages for the sake of it. It is one page per problem you genuinely treat, written to answer the question in the first sentence, with a real number in it. These are the problems the data says people are bringing you.
What about the phrases with no search volume at all?
Of the 320 phrases we found, 262 come back with no recorded monthly volume. A keyword tool reports zero because too few people typed that exact string into a search box for the number to be reliable — not because nobody wants to know.
That distinction has always mattered a little. It matters a lot now. People ask an assistant in full sentences, and full sentences almost never match a measured keyword. The long tail that looks empty in a keyword tool is precisely the shape of a question someone asks out loud.
So we treat volume as evidence of direction, not as a ceiling on demand. The zero-volume phrases still tell us what people are worried about, and those worries are what an answer engine is being asked about.
This report is built from the same discovery step cite0 runs for clients. Radar turns those phrases into the questions your customers actually ask an assistant, asks them week after week, and records whether you were named. Plans from $99 CAD a month.
See where you standCommon questions
Where do these numbers come from?+
From our own keyword discovery run for each service, which uses a commercial search-data provider for volume. They are modelled estimates for the geography our catalogue resolves for GTA markets — Ontario, Canada, English — not measured visits to any website.
Does search volume tell you what people ask AI?+
Not directly, and we do not claim it does. Search volume is a proxy for what a market cares about. It is the best public evidence available for demand, and the shape it shows — problems far ahead of price and location — is the part we would stand behind, more than any single figure.
Should I take "near me" off my website?+
No. It is a real, if smaller, slice of demand, and it costs nothing to serve. The argument here is about what you build next: another location page is competing for 830 searches a month, while the problems people describe are worth 11,550.
Will you publish this for other services and categories?+
Yes. This is a quarterly series and the same method runs per service and per category. Fillers are in this report; PRP, dental and legal follow.
We ran our keyword discovery step for each service, which expands a seed term into every related phrase a commercial search-data provider knows about, and returns a modelled monthly volume for each. We then grouped the phrases into concerns — fit, price, access, brand, safety and so on — and summed volume within each group. Phrases can belong to more than one concern, so group totals describe emphasis rather than partitioning the traffic exactly. Volumes are modelled estimates for the geography our catalogue resolves for GTA markets, not measured traffic. The grouping was reviewed by hand before publication: near-duplicate concerns were merged and the reasons recorded.
- cite0 keyword discovery — 320 Botox and 166 dermal-filler phrases, via DataForSEO — July 2026, geo resolved for GTA markets
- Aggarwal et al., "GEO: Generative Engine Optimization", KDD 2024 — finds content changes can raise visibility in generative engines by up to 40%