Search visibility is evolving rapidly. Traditional blue links are no longer the only goal—modern B2B clients and decision-makers now rely on Google AI Overviews, AI Mode, and conversational engines like Perplexity AI to discover service providers and suppliers.
In this case study, we breakdown how we optimized BRC.swiss (a Switzerland-based heavy machinery, ground protection, and construction site equipment supplier) to secure top citations across generative AI search engines.
The Challenge
Industrial and B2B buyers in Switzerland search using highly specific, intent-driven queries such as "construction site fuel tank Switzerland" or "trench shoring systems Switzerland".
The primary objectives were:
Key Results & AI Search Rankings
Through a targeted Generative Engine Optimization (GEO) framework, we secured primary brand citations across multiple machinery and equipment categories.
1. Google AI Overviews: Heavy Trackway & Ground Protection
For the high-intent query construction trackway systems Switzerland, Google AI Overviews features BRC.swiss both directly in the summary text and as a primary recommendation panel link.
 |
| BRC.swiss featured inside Google AI Overviews for trackway systems in Switzerland. |
 |
| BRC.swiss cited as a top supplier for fuel tanks in Google AI Mode. |
2. Google AI Mode & Perplexity AI: Construction Fuel Tanks
When buyers search for construction site fuel tank Switzerland, BRC.swiss is cited as the top recommendation across both Google AI Mode and Perplexity AI engines, highlighting compliance, durability, and cordless battery pumping capabilities.
 |
 |
3. Generative Citations: Trench Shoring & Mobile Cranes
For queries like trench shoring systems Switzerland and industrial mobile crane supplier Switzerland, our entity optimization ensured the brand was listed at the very top of AI-generated supplier grids.
 |
| Regional supplier citation for turf maintenance machinery in Google AI. |
The Strategy: How We Optimized for Generative AI (GEO)
Ranking in AI search engines requires a different approach than standard keyword density. Here is the exact 3-step blueprint we executed:
Step 1: Entity & Location Structuring
AI engines rely heavily on clear entity relationships. We restructured product landing pages to explicitly define product specs, regional delivery parameters (Switzerland), and direct use-cases (e.g., HDPE mats, fuel storage, trench boxes).
Step 2: Semantic JSON-LD Schema Markup
We implemented comprehensive Product, LocalBusiness, and Organization JSON-LD schema. This structured data allowed Google Gemini and Perplexity LLMs to parse technical specifications, rental options, and compliance standards effortlessly.
Step 3: Direct-Answer Content Blocks
LLMs pull answers from clean, authoritative summary paragraphs. We formatted product pages with concise 2-3 sentence overview blocks at the top of each page, making it seamless for AI crawlers to extract and cite our text word-for-word.
Frequently Asked Questions
What is Generative Engine Optimization (GEO)?
GEO is the process of optimizing website architecture, structured data, and content formatting so that AI models (like Google Gemini, ChatGPT, and Perplexity) extract and cite your domain as the primary source of truth.
How do you get featured in Google AI Overviews?
To appear in Google AI Overviews, focus on strong local entity signals, schema markup, direct-answer formatting, and high-trust contextual backlinks.
Want Your Brand Featured in Google AI & Perplexity?
Search habits have changed, and staying visible requires winning both traditional search and generative AI models.
If you want your business cited as the top recommendation in Google AI Overviews, ChatGPT, and Perplexity AI:
📩 Contact Pankaj Rana SEO for a Free GEO & Technical Audit. Let's analyze your domain baseline and capture the top spots in AI search.
