Search demand for obsolete and surplus industrial parts is real, but it lives in a long tail of exact part numbers, not three generic phrases

Asked:

"What search demand exists for obsolete industrial part identification, part number cross-reference, and surplus industrial parts sourcing services?"

This page draws on 36 public keyword estimates (illustrative examples, not an exhaustive keyword universe) and 40 curated evidence rows mixing keyword data, platform activity and structural demand drivers, gathered in a web scan run on 15 October 2026 across roughly 4,500 unique results. Volumes mix tools, dates and geographies, so they are directional and must not be summed into a market total.

The demand ladder: broad categories in the thousands per month, high-intent identification and cross-reference queries in the tens to hundreds

All 36 public keyword examples, searches per month (one keyword is annual, converted note shown), log scale. Hover or tap a bar for geography and source. Colour marks the intent group, not a series.

Broad category heads carry discovery volume: programmable logic controller at 16,000 and Allen Bradley PLC at 10,000 U.S. searches a month, against Siemens PLC at 7,500 — shelftrend.com

Exact SKUs can out-search generic phrases: Mopar part number 5183350ab alone draws 8,100 searches a month, more than "farm equipment parts" — semrush.com

Identification and authentication demand is small but commercially specific: counterfeit SKF bearing identification 600/month (USA) and how to identify fake NSK bearing 350/month — digital-marketing-for-manufacturers.com

Structural pressure explains why 10-search queries matter: roughly 750,000 electronic components reached end-of-life in 2022, up more than 40% year over year (not a search-volume figure) — gal-industry.com

Downtime makes exact-part searches disproportionately valuable: a single missing part can cost $2.3 million per hour of stopped production (structural driver, not search volume) — newsweek.com

Supporting evidence: platform activity and structural drivers

Units differ by row — users, RFQs, parts, dollars, hours — so these are context, never comparable bars and never Google search volume. Where several third-party pages repeat a platform figure, prefer the official platform source; rows with unstated period or geography are labelled.

All 36 public keyword examples

Keyword	Intent group	Searches	Per	Geography	CPC $	Source

Method: 36 public keyword estimates and 40 curated evidence rows from a web scan run 2026-10-15 (982 unique results from 10 keyword queries, 1,820 in a platform scan, 1,730 in a structural-driver scan). Each number is a third-party public estimate of Google searches per month (one keyword reported annually), platform activity, or a structural driver, as labelled; geographies and tool dates vary, so figures are directional and were not summed. Sources span many independent hosts; no single URL backs more than half the rows. Public keyword data proved sparse — validate the full manufacturer + part number + intent-modifier universe in Google Keyword Planner and Search Console before sizing. Duplicate platform claims were kept in the evidence table for transparency.

This report was generated automatically by Keenable SELECT at a user's request, from publicly available web sources linked herein. Keenable does not review, verify, or endorse its contents and makes no representation as to accuracy, completeness, or timeliness; AI-based extraction may contain errors. Nothing in this report is investment, legal, financial, or other professional advice. All trademarks and referenced content remain the property of their respective owners; no affiliation or endorsement is implied. To report an error, rights concern, or request removal: legal@keenable.ai.