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Vendor reportSemrush, 8 Sep 2026

The most-cited manufacturing sources in AI answers are reference sites, marketplaces and distributors, led by engineerfix.com, not the biggest brands

Citation & visibility tracking



AI citation counts by manufacturing & industrial source domain (thousands)

AI citation counts by manufacturing & industrial source domain (thousands)
DomainAI citations
engineerfix.com590,000
vevor.com359,000
thermofisher.com345,000
sigmaaldrich.com295,000
made-in-china.com267,000
rs-online.com244,000
thebluebook.com226,000
grainger.com225,000
thomasnet.com208,000
procore.com206,000
rsc.org195,000
protoolreviews.com192,000
globalspec.com163,000
carrier.com156,000
energysage.com146,000
Reader Note:
Engineerfix.com leads at 590K citations. The pattern holds on the citation side only: the mention lists are headed by legacy manufacturers such as 3M, John Deere and Boeing, and across the top 15 only two domains appear on both lists. These are monthly top-25 lists rather than complete rankings, so a brand missing from the citation list failed to reach the top 25 — it does not mean it was never cited.
Evidence:
Observed behaviour
Vendor interest:
High — This comes from a company with a commercial interest in this market, so it is not a neutral source.
Sample:
Three Semrush datasets: 458 manufacturing keywords tracked monthly from January to July 2026; U.S. clickstream sessions across sites in ten manufacturing categories over the same period; and Semrush AI Visibility data for U.S. manufacturing/industrial domains across ChatGPT, Gemini, AI Mode, and AI Overviews, using monthly top-25 domains by mentions and by citations.

Good for

Comparing yourself against a similar segment, and choosing what to test next.

Not for

  • Saying that one thing caused another, or predicting what you would get.
  • This comes from a company with a commercial interest in this market, so it is not a neutral source.
  • This was measured in one market. It may not hold where you are.
  • Nobody counted this directly — it's a calculation. The publisher worked it out itself, or took the ad platform's word for what its ads achieved.
  • The source never says how this number was measured.

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