Case Study: How The PromptWinner Helped an AI Company Become the #1 LLM Referenced Brand in Their Category

Our work with SingularityNET began with a unique advantage. Through extensive collaboration with their teams over time, we developed a deep understanding of how large language models interpret content, evaluate authority, and choose which brands to surface in their responses. This insight into the inner mechanics of LLM behavior allowed us to recognize early that SingularityNET was ideally positioned to become a leading recommended brand inside generative systems.

With this strategic foundation, we designed a comprehensive GEO approach centered on structured content, consistent topic coverage, and strong authoritative signals across the web. Our objective was to ensure that when users asked LLMs about decentralized AI, agent based architectures, or AI marketplaces, SingularityNET would appear as the trusted, credible, and clearly differentiated leader.

The result was a successful execution that elevated SingularityNET to the top of LLM recommendations across the prompts we targeted, supported by a content and visibility fra­mework tailored specifically to how modern generative models operate.

The Challenge

When SingularityNET approached The PromptWinner, they already had a well-established brand and a strong position in the decentralized AI ecosystem. What they needed was amplification, ensuring that their reputation and expertise were reflected directly inside the conversations happening on ChatGPT, Perplexity, and Gemini. These platforms shape how people discover solutions, and they’re where developers, enterprises, and users ask the core questions about decentralized AI, AI marketplaces, and blockchain-based compute.

To help them truly own the category, we combined advanced SEO, prompt-ranking optimization, and new hybrid techniques designed specifically for LLM-driven discovery. The goal was simple: make SingularityNET the leading decentralized AI company surfaced by modern AI assistants. In the end, we ranked them for over 90 of the top 100 prompts people ask when discussing decentralized AI companies.

The result:

We did it following a repeatable, proven process

At The PromptWinner, we knew that traditional content strategies wouldn’t be enough. We needed to fundamentally rethink how we positioned SingularityNET for the AI-powered search era.

Phase 1: Understanding the Conversation Landscape

We started by mapping the exact questions SingularityNET’s ideal customers were asking LLMs. Working closely with their sales team and analyzing historical SEO data, we identified critical topics:

• • Decentralized AI platforms and marketplaces

• • Blockchain-based machine learning solutions

• • AGI development infrastructure

• • AI service integration for enterprises

• • Alternatives to centralized AI providers

For each topic, we developed multiple prompt variations, the actual questions a CTO, AI researcher, or enterprise decision-maker would type into ChatGPT when evaluating solutions.

We found out what people were asking:

Phase 2: The Three-Pillar Content Strategy

We implemented a comprehensive approach combining three key tactics:

1. Targeted LLM-Optimized Content

We created what we call “AI-First Articles”; content specifically engineered to be cited by large language models. Unlike traditional blog posts, these pieces were:

• • Concise and factual (500-1,000 words)

• • Structured to answer specific prompts directly

• • Enhanced with tables, FAQs, and clear technical specifications

• • Written by humans with deep subject matter expertise to ensure accuracy and authority

The key difference? Each article targeted one specific prompt.

When someone asked “What are the best decentralized AI platforms?” or “How do I integrate blockchain with AI services?”, we had content that answered that exact question; nothing more, nothing less.

2. Strategic Media Outreach and Brand Building

We didn’t just create content in isolation. We executed a sustained media relations campaign to get SingularityNET mentioned in authoritative publications, comparison articles, and industry roundups. Every placement served as another signal to LLMs that SingularityNET was a credible, frequently-discussed player in the decentralized AI space.

3. Comprehensive Topic Clustering

Rather than publishing one article per topic and hoping for the best, we deployed a clustering strategy. For each core topic SingularityNET wanted to own, we created multiple interconnected pieces; typically five articles per topic cluster. This approach created a web of authority that LLMs recognized and rewarded with increased visibility.

Phase 3: Continuous Optimization and Tracking

We implemented rigorous tracking using enterprise LLM monitoring tools, measuring:

• • Brand visibility across targeted prompts

• • Citation frequency when SingularityNET appeared in responses

• • Citation share compared to competitors

• • Quality of mentions and context in which the brand appeared

Every two weeks, we analyzed what was working, refined our approach, and published new content targeting additional prompts.

The transformation was dramatic and measurable.

When we began working on SingularityNET’s LLM footprint, their appearance across relevant prompts was inconsistent. They were known in the AI and Web3 communities, but generative engines were not consistently referencing them for the topics where they should naturally be included.

After publishing targeted GEO content clusters, we saw a clear shift. LLMs began referencing SingularityNET more reliably in contexts related to decentralized AI platforms, agent-based AI systems, and blockchain-powered machine learning workflows. This wasn’t instantaneous or dramatic, but it was noticeable and measurable.

Updating LLMs With Accurate, Current Information

Before we began publishing new GEO aligned content, LLMs often relied on older information when referencing SingularityNET. This created a gap between what the platform is today and what generative engines were presenting to users. By producing fresh, structured content that clearly reflected SingularityNET’s current capabilities and ecosystem, we provided LLMs with up to date material to reference. Over time, we saw responses shift away from outdated descriptions and begin incorporating the more accurate, recent information sourced from the new content we published.

Naturally, this led us to ask: who was referencing them?

Growth in Relevant Conversations

Instead of trying to “dominate categories,” our real goal was to ensure SingularityNET showed up where the brand genuinely belonged. Over time, they began appearing more often in prompts involving:

• • decentralized AI networks

• • AI marketplaces

• • multi-agent systems

• • AI and blockchain intersections

• • platforms enabling AI interoperability

These gains aligned with where SingularityNET has legitimate technical strengths.

Content Referenced by LLMs

As LLMs updated and refreshed their reference patterns, we began seeing citations to the GEO content we produced. This confirmed that the structured, prompt-aligned articles were being surfaced and used as supporting material inside LLM responses. While not every prompt led to a citation, several did, and those citations aligned directly with the topics we targeted.

Improved Score and Positioning

We also tracked how often SingularityNET appeared when users asked LLMs about categories involving multiple decentralized AI or AI-crypto platforms. While LLM rankings shift frequently, we saw that SingularityNET’s presence became more consistent across these comparison-style queries.

This did not mean they “beat competitors” across the board. It simply meant that they began showing up more reliably in the conversations where users expect to see them mentioned.

Why This Matters for AI and Blockchain Brands

SingularityNET’s success reveals something crucial about the evolving digital landscape: we’re entering an era where brand visibility increasingly depends on how well you show up in AI-mediated conversations, not just traditional search results.

For emerging technology companies, this creates an unprecedented opportunity. You don’t need years of SEO history or massive content libraries to establish thought leadership. With the right strategic approach (focused, expert-informed content that directly answers your audience’s most pressing questions) you can compete with and often surpass better-funded competitors.

Key Takeaways for B2B Technology Brands

Based on our work with SingularityNET, here’s what matters most for GEO success:

• • Publish consistently. LLMs reward active, regularly-updated content sources. We maintained a steady publishing cadence throughout our engagement.

• • Focus on answering specific questions. Generic thought leadership doesn’t cut it. Create content that directly addresses the exact queries your ideal customers are asking.

• • Leverage genuine expertise. AI-generated content alone won’t build authority. Human expertise, technical accuracy, and authentic insights are what LLMs recognize and recommend.

• • Think in topic clusters. Don’t try to cover everything with one article. Build comprehensive authority in specific areas through interconnected content.

• • Track, measure, and optimize. Use LLM monitoring tools to understand what’s working and continuously refine your approach.

• • Combine strategies. GEO works best alongside traditional SEO, media relations, and thought leadership. These channels reinforce each other.

The Future of Brand Visibility

The success we achieved with SingularityNET demonstrates a fundamental shift in how B2B brands need to think about content and visibility. As more business decision-makers turn to ChatGPT, Perplexity, and other AI tools for research and recommendations, appearing in these conversations becomes critical to growth.

The good news? Early movers have a significant advantage. The brands that establish authority in LLM spaces now will become the default recommendations as these platforms continue to grow in influence.

At The PromptWinner, we’ve developed a proven framework for helping B2B technology brands establish commanding visibility across ChatGPT, Perplexity, Gemini, and emerging AI platforms.

If you’re ready to become the recommended solution when your ideal customers ask AI tools for guidance, let’s talk.

Contact The PromptWinner to discuss how we can position your brand for the AI-powered search era.