Each category maps to one representative search keyword in V1, not an exhaustive category market size. CSV keyword overrides give you control. Exact normalized categories and keywords are counted once; shared keywords belong to the first topic. Semantic variants can still overlap.
SEARCH & AI DEMAND
LLM search volume.
Turn your categories into a topic-level view of search and AI demand.
YOUR DEMAND LANDSCAPE
Search and AI, by category.
DEMO DATA — Synthetic figures for exploring the tool. Not market research.
Illustrative sample · United States / English · synthetic data
Google Search
19,100
Monthly searches
Standalone LLMs
2,865
Google AIO
6,685
Google AI Mode
955
Demand by topic
Monthly · overlapping channels| Topic / mapped keywords | Google Search | Standalone LLMsModeled range | Google AIOExposure estimate | AI ModeScenario only |
|---|---|---|---|---|
| Skin Carehautpflege | 5,700 | 855428–1,283 | 1,995 | 285 |
| Natural Cosmeticsnaturkosmetik | 5,400 | 810405–1,215 | 1,890 | 270 |
| Drugstoresdrogerie | 4,100 | 615308–923 | 1,435 | 205 |
| Sun Caresonnencreme | 3,900 | 585293–878 | 1,365 | 195 |
AIO and AI Mode overlap Google Search. These columns must not be added into a total audience.
METHODOLOGY
How the estimates are calculated.
Live mode uses DataForSEO Google Ads monthly search volume for the selected country and language. Missing volume stays unknown. Google close-variant grouping means even deduplicated keyword sums are approximate.
Google volume × your LLM percentage. The displayed 0.5×–1.5× range is a sensitivity scenario, not a statistical confidence interval. No category-level usage measurement is claimed.
AIO = Google volume × assumed incidence, or observed presence for sampled live keywords. A single SERP snapshot is not monthly incidence. AI Mode = Google volume × assumed adoption; it is not measured AI Mode traffic.
Demo volumes are deterministic synthetic fixtures based on keyword, country, and language. They have no empirical basis. Live SERP sampling checks up to 10 keywords; unobserved keywords use your assumption. Method version 1.0.