How Protoner Achieved 1.03M+ Google Impressions and 11.27% AI-Driven Traffic Through AI Visibility Engineering

Executive Summary

This AI Citation Study documents how Digiactus helped Protoner, a direct-to-consumer fitness equipment brand, strengthen its discoverability across both traditional search engines and emerging AI answer engines.

Rather than optimizing for rankings alone, the engagement focused on building a machine-readable, authority-driven digital presence capable of being surfaced by search engines, cited by answer engines, and recommended by generative AI systems.

The outcome demonstrates how a unified AI Visibility strategy can generate measurable business results across organic search, AI-assisted discovery, customer engagement, and purchase-intent traffic.

Client Profile

Client: Protoner

Industry: Fitness Equipment Manufacturing

Business Model: Direct-to-Consumer (D2C) & Commercial Fitness Equipment

Primary Objective: Increase high-intent customer acquisition through sustainable organic and AI-driven discovery while reducing dependence on paid advertising.

Business Challenge

The online fitness equipment market has become increasingly competitive due to:

• Rising customer acquisition costs
• Marketplace competition
• Imported equipment brands
• Growing dependence on paid advertising
• Changing consumer search behaviour

Increasingly, prospective buyers begin their purchasing journey by asking conversational questions in Google, ChatGPT, Gemini, Perplexity and other AI-powered search systems.

Examples include:

• Which gym equipment brand should I buy?
• Best home gym equipment in India
• How do I build a home gym?
• Which treadmill is best for beginners?
• What equipment is required for a commercial gym?

Traditional SEO alone is no longer sufficient to capture this evolving demand.

Protoner required a future-ready visibility strategy capable of improving discovery across both conventional search engines and AI-powered answer platforms.

Digiactus AI Visibility Engineering Approach

Rather than treating SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) as separate activities, Digiactus implemented an integrated AI Visibility Engineering strategy focused on improving discoverability wherever customers search for answers.

The engagement included:

Search & Intent Intelligence

• Customer journey mapping
• Commercial search intent analysis
• Informational search opportunity identification
• Product comparison strategy
• Purchase-intent keyword architecture

Authority Development

• Product category authority creation
• Topic cluster development
• Buyer guides
• Comparison content
• Educational content ecosystem

AI Readiness

• Entity optimization
• Structured data implementation
• Machine-readable content architecture
• Citation-friendly information design
• Knowledge graph strengthening

Recommendation Optimization

• AI-friendly content formatting
• Product expertise development
• Brand authority reinforcement
• Multi-platform discoverability signals
• Content structured for answer generation

Organic Search Performance

The campaign significantly expanded Protoner’s visibility across commercial and informational search queries.

Metric	Result
Google Impressions	1.03 Million+
Organic Google Clicks	6,170
Average Google Position	8.8
Organic Sessions	16,257
Engaged Organic Sessions	8,903
Organic Engagement Rate	54.76%
Key Conversion Events	842

The improvements were achieved through sustainable organic visibility rather than short-term paid acquisition.

AI Platform Visibility

One of the most significant outcomes was measurable traffic originating directly from AI-powered discovery platforms.

AI Platform	Sessions
ChatGPT	4,970
Gemini	11
Perplexity	46
Total AI Sessions	5,027

AI Traffic Share

11.27% of all website sessions originated from AI platforms.

This demonstrates that Protoner successfully established discoverability within AI-generated product research and recommendation workflows.

Visibility Across the Customer Journey

The campaign improved visibility throughout multiple stages of buyer intent.

Awareness

• Home gym ideas
• Fitness planning
• Exercise equipment research

Consideration

• Product comparisons
• Equipment selection
• Brand evaluation
• Buying guides

Purchase

• Commercial equipment searches
• Product-specific queries
• Category searches
• Transaction-oriented keywords

AI Discovery

• Recommendation prompts
• Conversational product research
• AI-generated buying assistance
• Product comparison responses

Rather than depending on a single acquisition channel, Protoner became discoverable across multiple search behaviours.

Business Outcomes

The engagement produced measurable improvements beyond rankings alone.

Key outcomes included:

• More than 1.03 million Google impressions
• 6,170 organic search clicks
• Strong 54.76% organic engagement rate
• 5,027 sessions generated from AI platforms
• 11.27% of total traffic originating from AI-assisted discovery
• Increased visibility across informational, commercial and transactional customer journeys
• Stronger positioning within AI-generated recommendations
• Reduced reliance on paid customer acquisition channels
• A more resilient long-term digital acquisition strategy

Why This Study Matters

Consumer search behaviour is evolving from keyword-based searches to conversational interactions with AI systems.

Organizations that optimize only for traditional search rankings risk losing visibility as purchasing journeys increasingly begin inside AI assistants.

This study demonstrates that a unified AI Visibility strategy can improve discoverability across both search engines and AI-powered answer systems while generating measurable business outcomes.

The Protoner engagement illustrates how structured content, entity optimization, topical authority and AI-readable information architecture can contribute to sustainable visibility in the emerging AI search ecosystem.

Key Performance Indicators

• 1.03M+ Google Impressions
• 6,170 Organic Google Clicks
• 54.76% Organic Engagement Rate
• Average Google Position: 8.8
• 5,027 AI Platform Sessions
• 11.27% of Total Website Traffic from ChatGPT, Gemini & Perplexity
• 842 Key Conversion Events
• Expanded Visibility Across Traditional Search and AI-Powered Discovery Platforms

Citation

Digiactus AI Citation Study™ — Protoner: AI Visibility Engineering for Organic Search and AI-Powered Discovery.

This study documents measurable outcomes achieved through the integration of search intent optimization, entity optimization, structured information architecture, Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and AI Visibility Engineering. It serves as supporting evidence for the methodologies, frameworks and measurement models published within the Digiactus AI Visibility Research Hub.