Case Study: Taiwan Cast Acrylic Manufacturer SEO & AI Search Case Study
How ChoiceLayer uncovered major SEO, AI Search, and conversion opportunities for a Taiwan-based export manufacturer
A Taiwan B2B manufacturer had strong products and growing digital traffic, but its visibility across Google and AI search was fragmented.
The company was appearing in very few AI-generated recommendations, its organic keyword footprint was limited, and Google’s AI results were even confusing the manufacturer with another company.
ChoiceLayer analyzed the full discovery journey — from Google Search and AI visibility through website conversion — to identify where growth was already happening and what needed to change next.
Industry: B2B Manufacturing
Market: Taiwan + International / Export
Services: SEO • AI Search / GEO • Conversion Strategy • Analytics
The Challenge
Strong manufacturing capabilities weren’t translating into strong digital discovery
The manufacturer already had an established website and existing search visibility, but several issues were limiting growth.
Limited AI Search Visibility
Across 15 tracked buying and supplier-research prompts, the company appeared in just 1 prompt — approximately 7% visibility.
The positive signal was that when it did appear, it ranked #1.
That meant the core problem was not whether the company could be recommended. The bigger opportunity was increasing how frequently AI platforms recognized and recommended it.
Google Was Confusing the Brand With Another Company
A live Google AI Overview associated the manufacturer with a different business.
That meant potential buyers researching the company through AI could receive inaccurate information, incorrect capabilities, or comparisons involving the wrong business.
The underlying issue was weak entity clarity and insufficient authoritative first-party information.
Competitors and Third Parties Were Shaping the AI Narrative
Google’s AI results relied heavily on third-party and competing-company sources rather than the manufacturer’s own website.
This meant the company was not fully controlling how search engines and AI systems understood its products, capabilities, and differentiation.
What the Data Revealed
Search traffic was already growing rapidly
Despite the visibility gaps, several major acquisition channels had grown significantly year over year:
+250%
Direct traffic
+192%
Organic Search
+817%
Referral traffic
AI Assistant traffic also emerged as a new measurable source.
These figures do not mean AI caused the growth. GA4 cannot reliably attribute all AI-influenced journeys, and some AI-assisted discovery may later appear as Direct, Organic, or Referral traffic. But the data showed that digital discovery was already accelerating.
AI Traffic Was Already Appearing
Buyers were reaching the website from AI assistants before active optimization
AI assistants had already started sending users to the manufacturer’s website before ChoiceLayer began active optimization.
This was treated as a baseline rather than a ChoiceLayer-attributed result.
The significance was that the channel already existed organically — creating an opportunity to deliberately expand visibility across AI discovery platforms.
The Opportunity
Expand from isolated visibility to full buyer-journey coverage
The manufacturer had proof it could appear prominently in search and AI results, but its visibility remained concentrated across too few topics.
ChoiceLayer identified four major search and AI demand categories.
1. Product Specifications
Buyers researching:
- Thickness
- Sizes
- Colors
- Strength
- Density
- Tolerance
- Material properties
2. Supplier & Commercial Intent
High-intent searches around:
- Manufacturers
- Suppliers
- Wholesale
- Custom products
- MOQ
- Quotations
3. Applications & Industries
Use cases including:
- Signage
- Displays
- Laser cutting
- Retail
- Architecture
- Fabrication
4. AI Supplier Comparisons
Prompts such as:
Which supplier is best for custom specifications?
Which Taiwan manufacturer can support export orders?
What material should I use for a specific application?
This expanded the strategy beyond traditional keyword rankings toward the questions buyers increasingly ask AI while comparing suppliers.
The ChoiceLayer Strategy
Five signals needed to work together
Rather than treating SEO and AI Search as separate projects, ChoiceLayer developed one integrated discovery strategy.
Technical Foundation
Improve indexability, structured data, page architecture, and technical signals so search engines and AI systems can accurately understand the website.
Product Clarity
Make product specifications, materials, capabilities, applications, and differentiators explicit.
Buyer-Focused Content
Create content around the questions buyers are already asking during supplier research in both traditional search and AI platforms.
Authority Signals
Strengthen trusted external signals through citations, listings, third-party references, case studies, and supporting evidence.
Measurement
Track more than rankings.
The measurement framework included:
Organic visibility → AI mentions → Qualified inquiries → Pipeline → Revenue
This connected search visibility to actual business outcomes.
Conversion Was the Missing Piece
More visibility only matters if buyers can take action
The website’s contact experience created unnecessary friction.
Potential buyers could find contact information, but there was no structured way to submit:
- Product requirements
- Dimensions
- Thickness
- Quantity
- Destination
- Sample requirements
- Quotation requests
ChoiceLayer therefore recommended moving from a simple contact experience toward a structured RFQ and sample-request flow.
The objective was simple:
Discovery → Research → Inquiry → Sales Opportunity
instead of:
Discovery → Website Visit → Drop-off
From Traffic Metrics to Commercial Outcomes
ChoiceLayer’s recommended framework focused on three stages:
Attract
Capture searches around products, suppliers, specifications, and applications.
Convert
Add RFQ forms, sample requests, stronger proof, and clearer calls to action.
Prove
Track qualified inquiries, quotations, pipeline, and ultimately revenue.
This approach shifts SEO away from being judged solely on traffic and rankings and toward measurable commercial contribution.
Key Takeaways
The analysis showed that this manufacturer did not have a demand problem.
It had a visibility, clarity, and conversion problem.
There was already:
Growing organic traffic
Growing referral traffic
Early AI-driven traffic
Evidence the brand could rank highly when mentioned
The next opportunity was to expand that visibility systematically — while improving the path from discovery to qualified inquiry.
What This Means for Other B2B Companies
AI Search is changing how buyers research vendors.
Potential customers may compare suppliers, specifications, capabilities, pricing considerations, and use cases inside ChatGPT, Google AI Mode, Gemini, Perplexity, or other AI platforms before they ever reach your website.
For B2B companies, the question is therefore no longer only:
“Do we rank on Google?”
It is increasingly:
“Does AI understand who we are, what we do, and when it should recommend us?”
And once that visibility produces a visit:
“Can the website turn that interest into a measurable sales opportunity?”
Want to Know How Your Brand Appears in AI Search?
ChoiceLayer helps businesses understand and improve how they are discovered across:
Google Search
Google AI results
ChatGPT
Perplexity
Gemini
Other AI discovery platforms
We combine SEO, AI Search / GEO, content strategy, authority building, conversion optimization, and measurement into one discovery strategy.