RF Inductors
No buyer-search keyword sample has been scored against AI’s description of this category yet.
These are the brands AI most associates with this electronics category.
The ranking
Showing 8 brands AI ranks as component manufacturers. The other 2 of 10 brands AI mentions in this category appear as distributors or category-surface entities (paid evidence layer).
Share is each brand’s portion of AI’s total mentions for this category. Mention counts are cumulative across the consensus panel and tracking weeks. Not normalized for panel turnover or model outages — cross-category comparisons require the evidence layer.
Threshold rule, panel breadth, observed week, and the per-brand statistics behind each row — plus the reality checks (vantage alignment, supply geography, buyer vocabulary) that tell you whether AI’s rank for RF Inductors holds up off-screen.
Open the evidence layer →Five vantages on this category
How AI talks about RF Inductors, compared to how OEMs describe it on their own product pages, how buyers search for it, how distributors bucket it, and how aggregators classify it in their taxonomies. Each of those five viewpoints is a vantage. The cosine between each pair of vantages tells you whose vocabulary tracks whose — 1.0 means identical wording, near 0 means they don’t share a vocabulary at all.
OEM self-description and Buyer search use the most-different vocabulary for this category — cosine 0.84.
- rf inductorsw 27%
- high frequency inductorsw 7%
- low profile inductorsw 3%
- magnetic materialsw 3%
- rf chokesw 2%
subscribe to unlock
How manufacturers describe this category on their own product pages.
- rf chokesw 79% · vol 590
- rf inductorsw 13% · vol 100
- rf choke inductorw 3% · vol 20
- coilcraft rf inductorsw 1% · vol 10
- high q rf inductorsw 1% · vol 10
subscribe to unlock
How electronic distributors bucket this category in their product hierarchies.
subscribe to unlock
How parts aggregators (Octopart, FindChips) classify this category in their taxonomies.
w = weight within this vantage’s vocabulary · n = source observations contributing to this vantage · vol = monthly buyer-search volume (DataForSEO, where applicable)
Lower triangle only — matrix is symmetric. Diagonal omitted (self-cosine = 1.0).
| AI | OEM | Buy | Dist | Agg | |
|---|---|---|---|---|---|
| AI | — | · | · | · | · |
| OEM | — | · | · | · | |
| Buy | 0.86 | — | · | · | |
| Dist | — | · | |||
| Agg | — |
See OEM-self, distributor, and aggregator vocabularies for RF Inductors — plus the full 10-cosine distance matrix and where your brand sits inside the divergence.