A clearer route from product questions to purchase enquiries.
For SN Machinery, TCC brought product comparisons, selection tools and quote routes into one website. The client reports 80–90 purchase enquiries a month. Here’s the work and the evidence behind the case.
Industrial components. Site launched April 2026; evidence reviewed September 2026.
Help the buyer find a product they can actually ask about.
SN Machinery supplies pneumatic cylinders, bearings and other industrial components. The website connects the buying question to relevant product information and a way to request a quote.
Inspect the reports. Keep the measures separate.
Microsoft: 10.8K citations in a selected six-month window. Google: 164K AI-feature impressions within 451K Search impressions, plus 3.61K Search clicks, in selected three-month windows. Google AI impressions must not be added again.
Read the full caseWhat TCC built into the journey.
- Compare the options
- Brand comparisons and cylinder-selection guidance for buyers still choosing.
- Check technical fit
- Model tables, specifications and a cylinder-force calculator.
- Ask for the right quote
- Routes for buyers with a known model and buyers starting from an application.
What the numbers mean.
80–90 client-reported monthly purchase enquiries × about $500 typical order value gives $40K–$45K potential monthly order value, treating each enquiry as one possible order. This is not booked revenue, a win rate or AI-attributed sales.
The original reports.
Client-supplied images, reviewed September 2026. Each report retains its own window and measure.
Open the three reporting screenshots
Apply the buying journey to your own range.
Begin with a range you supply, one buying question and the documents that support the answer. Connect the product or selection page to a useful quote route, then track your own suitable enquiries and orders.
Discuss your product rangeBefore you decide.
Can the platform figures be combined?
No. Google AI impressions are included in the Search total. Microsoft citations count a different event over a different window.
What about the reported 75% AI appearance?
It is a TCC-reported result for a bounded set of tracked buying-query answers, not a market-wide statistic. The underlying questions, counts and conditions are needed for independent verification.
Does this prove results for large equipment?
No. This is a component-supply example. Complete machinery requires separate technical, project and commercial evidence. The visibility reports do not attribute individual enquiries to AI.
Make the next product question easier to answer.
Let’s review the product information and quote journey your buyers need.