Industrial Automation
Most Google searches for this category use words that match how AI describes it.
These are the brands AI most associates with this electronics category.
The ranking
Showing 215 brands AI ranks as component manufacturers. The other 175 of 390 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 Industrial Automation holds up off-screen.
Open the evidence layer →Five vantages on this category
How AI talks about Industrial Automation, 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.
Buyer search and Aggregator taxonomy use the most-different vocabulary for this category — cosine 0.92.
- industrial automationw 2%
- robotics componentsw 1%
- industrial automation controllersw 1%
- human machine interfacesw 1%
- machine vision systemsw 1%
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How manufacturers describe this category on their own product pages.
- industrial automationw 8% · vol 16,200
- industrial plc programmingw 6% · vol 12,100
- industrial automaticw 5% · vol 9,900
- b and r industrial automationw 4% · vol 8,800
- rpa robotic process automationw 4% · vol 8,100
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How electronic distributors bucket this category in their product hierarchies.
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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 | 0.97 | — | · | · | |
| Dist | — | · | |||
| Agg | — |
See OEM-self, distributor, and aggregator vocabularies for Industrial Automation — plus the full 10-cosine distance matrix and where your brand sits inside the divergence.