Axy.Digital Case Study: How Wingbits Achieved 11x AI Visibility and Displaced Incumbents in 90 Days

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Executive Summary

In 90 days, Wingbits moved from being nearly invisible in AI discovery to becoming a top-cited authority in DePIN aviation.

Results at a glance

  • Increased AI visibility by 11x from 1.3% to 14.2% within 90 days
  • 67 mentions; 14.2% mention rate
    (This metric refers to how often an answer with a relevant first or third party domain citation mentions Wingbits explicitly)
  • 54 page citations; 11.4% citation rate
    (This metric refers to how often a wingbits.com page was cited in an answer)
  • Climbing to #3 against established incumbents 

Axy’s system continuously identified high-intent prompt clusters, benchmarked competitive visibility, aligned content architecture for semantic retrieval, and monitored citation performance across LLMs. Content was mapped directly to high-probability retrieval scenarios, and competitive citation gaps were systematically closed in real time. Discovery shifted from reactive publishing to engineered presence, becoming measurable, automated, and compounding by design.

The Challenge: Displacing Incumbents in AI Discovery

Invisible in AI-Driven Discovery

Despite strong traction, partnerships, and community, Wingbits was not appearing in AI-generated answers, category comparisons, or high-intent DePIN aviation queries.

Competing Against Entrenched Incumbents

Wingbits operates in a category dominated by incumbents with over a decade of SEO authority, deep backlink profiles, and entrenched brand recognition. These players had structural advantages in traditional search and were already heavily cited across AI systems.

The Solution: Axy’s GEO Engine

Phase 1 – Prompt Configuration

  • Surfaced 280+ prompt and topic opportunities based on live search trends
  • Identified and tracked 100+ high-impact aviation + DePIN prompts
  • Benchmarked competitor AI visibility across all tracked queries and LLMs
  • This established baseline visibility, surfaced citation gaps, mapped competitive whitespace and identified high-intent opportunity clusters

Phase 2 – Content Alignment & Automation

  • Built blog clusters optimized for semantic recall
    • Reorganized content into structured topic clusters around core themes like DePIN aviation and decentralized flight tracking, helping AI systems clearly interpret domain expertise. 
  • Expanded technical authority content
    • Expanded technical authority content to directly answer high-intent questions, including clear explainers and comparisons.
  • Prioritized first-party domain citation
    • Prioritized first-party domain citation by publishing the most comprehensive explanations directly on wingbits.com.
  • Automated content execution tied to real-time market signals
    •  Centered all publishing decisions were driven by evolving search behavior rather than static editorial calendars.

Phase 3 – Continuous Optimisation 

  • Weekly AI visibility tracking
    • Built a closed feedback loop between prompt tracking, citation analysis, and content deployment to create compounding discovery gains.
  • Real time optimisation and execution
    • Real time optimization and content expansion tied to search trends, evolving buyer behavior and citation gaps surfaced  

The Results: Measurable AI Market Share Won While Maintaining Quality and Credibility 

Performance Metrics

  • AI Visibility: 1.3% → 14.2%
  • Brand Mentions: 67, 14.2%
  • Page Citations: 54, 11.4%
  • Competitive Position: #3 against established incumbents 
  • Prompt Coverage: 100+ tracked monthly

Wingbits moved from peripheral visibility to consistent inclusion in AI-generated answers across their category.

Competitive Position Shift

Despite competing against incumbents with over a decade of SEO authority, deep backlink profiles, and entrenched brand recognition, Wingbits climbed to Rank #3 in AI visibility within 90 days through focused, data-driven GEO execution.

Rather than attempting to outcompete incumbents on traditional SEO alone, Axy concentrated on high-intent prompt clusters, citation probability, and retrieval optimization. This allowed Wingbits to bypass legacy SEO dominance and compete directly within AI-driven discovery environments.

Operational Impact

Axy is an AI-native system with analytics, execution, and measurement embedded into a single workflow, replacing 7+ disconnected tools and reclaiming 20+ hours of manual work every week. The entire process can be orchestrated by one operator in just a few clicks per day.

Success Factors: How Wingbits Achieved 11x Visibility and Displaced Incumbents

  1. Data-Driven Decision Making

Every decision was backed by real search behavior and citation gaps and content was deployed against measurable whitespace opportunities, not abstract positioning narratives.

  1. Strategic Focus

Axy prioritized high-impact prompts with the greatest probability of citation capture, effort was concentrated where visibility could compound.

  1. Rapid Iteration

Axy tracked shifts in search behavior and visibility in real time, and insights fed directly into execution, updating content, expanding high-performing clusters, and closing citation gaps. The feedback loop was built into the system itself, making iteration algorithmic rather than dependent on manual analysis or cross-team coordination.

Moving forward: Building upon the momentum and first-mover moat established 

  1. Prompt Expansion

Scaling beyond the current tracked set to capture long-tail and adjacent DePIN queries.

  1. Authority Expansion

Developing authority content aligned with new product releases, partnerships, and sector expansion.

  1. Competitive Advantage

Continuing to establish early dominance in AI-driven aviation discovery, giving Wingbits structural advantage before the category fully matures.

The Takeaway

In less than 90 days, Wingbits achieved 11x AI visibility and broke into the top ranks of an incumbent-dominated category built on decades of traditional SEO authority. The result demonstrates that GEO creates a new competitive layer, one where structured execution, prompt intelligence, and retrieval optimization can level the playing field and allow new entrants to capture meaningful market share.

If you’re competing in an AI-driven discovery environment, Axy turns visibility into a measurable growth channel. By combining real-time prompt intelligence, competitive benchmarking, structured content architecture, and automated execution, Axy helps you identify where you’re invisible, and systematically close the gap. Let's chat about making your visible in LLMs.

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