# A clearer route from product questions to purchase enquiries.

![A clearer route from product questions to purchase enquiries.](/case-studies/narayan-machinery/search-performance.png)

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.

[See the original reports](#original-reports) · [Discuss your equipment website](https://cal.com/shubham-cited/30min)

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.

## What 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.

## 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 case](/results/sn-machinery)

## Original reports, with their own counting rules.

Client-supplied reporting images, reviewed September 2026. Inspect each report separately.

![Microsoft AI citation report](/case-studies/narayan-machinery/ai-citations.png)

Microsoft: 10.8K citations in the selected six-month window.

![Google AI feature impressions](/case-studies/narayan-machinery/ai-impressions.png)

Google AI features: 164K impressions in the selected three-month window.

![Google Search report](/case-studies/narayan-machinery/search-performance.png)

Google Search: 451K impressions and 3.61K clicks in the selected three-month window. AI-feature impressions are included; do not add them again.

## 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 range](https://cal.com/shubham-cited/30min)

## Before 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.

[Discuss your equipment website](https://cal.com/shubham-cited/30min)