TL;DR: The rise of AI-driven search demands a new playbook. At Mercury Technology Solutions, we've moved beyond traditional SEO tactics to implement our proprietary A.C.I.D. Framework—a strategic approach focused on Authority, Citations, Infrastructure, and Dynamic Maintenance. By applying this framework to our own digital presence, we achieved a 1000% increase in search impressions and a 500% gain in qualified lead generation, attracting unsolicited inquiries from major enterprises across Asia and proving the global reach of this strategy.
I am James, CEO of Mercury Technology Solutions.
Search is fundamentally changing. Backlinks and keywords are no longer the whole story. AI-first interfaces like ChatGPT and Google’s AI Overviews now answer questions before users even have a chance to click a link. This seismic shift requires more than just an adaptation of old SEO tactics; it demands a completely new strategic framework.
"LLM SEO" isn’t a replacement for traditional SEO; it’s a necessary evolution. The challenge for every business leader is to secure visibility when AI controls the first impression, without losing sight of the foundational strategies that still drive results.
After noticing these shifts affect even our own clients, we turned our strategic lens inward. This post outlines the proprietary framework we developed and implemented—a framework that has transformed our own digital presence and now serves as the blueprint for our clients.
Balancing the Old and New: The Dual SEO Imperative
The first step is to recognize that you cannot neglect one system for the other. To be found by both people and machines, you must support both traditional and AI-driven search. This starts with understanding where their priorities overlap and where they diverge.
Aspect | Traditional SEO | LLM SEO / AI SEO | Shared Foundation |
Primary Goal | Top rankings in SERPs | Visibility & citation in AI answers | High-intent, decision-stage content |
Core Levers | Backlinks, volume-based keywords | Embedding-based relevance, natural language queries | Fresh, regularly updated content |
Authority Signals | Link equity, anchor text | Community mentions (GitHub, Reddit), concept clarity | E-E-A-T, Topic Authority |
Technical Focus | CTR optimization, meta descriptions | Self-contained, extractable snippets | Crawlable pages, clear heading hierarchy, schema markup, fast static pages |
The A.C.I.D. Framework: Our Blueprint for AI Search Dominance
To navigate this dual landscape, we developed the A.C.I.D. Framework in June 2025. It’s a disciplined, holistic approach designed to build a defensible moat in the age of AI.
Authority & Concept Ownership
This is the ultimate strategic moat in an era where AI can summarize existing knowledge with ease. While others focus on creating generic content, the real winners will be those who create the original source material that AI models are forced to cite. This pillar is about becoming that definitive source.
It begins with identifying and owning a "frontier concept"—a low-competition, high-opportunity topic where your brand can become the canonical expert. Instead of competing for a broad term like "LLM SEO Provider," you might aim to own the frontier concept of "AI-Driven LLM SEO framework for Technology Company."
LLMs are hungry for substance. To truly establish authority, you must go deep and publish content rich with original data, proprietary frameworks, expert quotes, and real-world customer stories that competitors cannot easily replicate. AI cannot invent your unique case study data; it can only reference it. The critical litmus test for your content should always be: "Could a competitor easily commission an AI to replicate this tomorrow?" If the answer is yes, it is not authoritative enough to build a lasting advantage.
Citations & Community Signals
LLMs learn from the entire web, and they infer trust from authentic, distributed conversations. This pillar focuses on seeding genuine citations and mentions across the ecosystem. This isn't about paid links; it's about earning mentions on high-signal, indexable channels like Reddit, GitHub, Hacker News, and industry-specific forums where real users are discussing their problems. If people cite you as the solution, AI models will learn to do the same.
Infrastructure & Structure
Brilliant content will be ignored if a machine cannot easily parse and understand its structure. This pillar is about architecting your content for machine comprehension. This is a critical technical foundation that ensures your authority is not lost in translation.
This involves several layers of optimization:
- Logical Heading Hierarchy: Using H1 → H2 → H3 tags correctly is the most fundamental way to create a "table of contents" for an AI, allowing it to understand the structure of your ideas.
- Semantic HTML: This means using HTML tags that describe the meaning of the content. Instead of generic <div> tags, we use <article>, <nav>, and <table>. This is like labeling your folders "Main Report" and "Appendices," telling the AI the purpose of each section.
- Schema Markup: This is like providing a "vocabulary cheat sheet" for AI. Using JSON-LD, we explicitly tell the AI, "This block of text is a Question, and this block is its Answer" (using FAQPage schema) or "This article was written by this specific, credentialed expert" (using Author schema). This removes ambiguity and reinforces trust.
- Static Rendering: Many AI crawlers do not effectively execute complex JavaScript. We ensure our clients' sites are built on modern infrastructure that serves static, pre-rendered HTML (via SSR or SSG) to guarantee that AI can see the full, complete content instantly.
Dynamic Maintenance
In a retrieval-based system where AI values currency, stale content quickly becomes useless. This pillar is about establishing a disciplined refresh cadence. We recommend reviewing and updating cornerstone content at 30, 90, and 180-day intervals to refresh data, fix broken links, and close competitive gaps. This consistent upkeep signals to both users and AI models that your information can be trusted as a current and reliable source.
The A.C.I.D. Framework in Action: A Detailed Case Study of Our Own Transformation
We applied this exact framework to our own digital presence with a singular goal: to own the Concept of "Strategic AI Integration" and "Generative AI Optimization (GAIO)" in the competitive APAC market.
- Authority: We developed and published a series of proprietary whitepapers (over 100!) and in-depth guides, such as "GEO, LLM SEO, AEO... Or Just SEO Evolved?" and "The Invisible SEO Opportunity That Could Define This Decade: LLM SEO." This created a library of original, defensible content that offered a unique point of view.
- Citations: Our leadership team, myself included, began actively participating in high-level discussions on LinkedIn, Reddit and specific technology forums relevant to business leaders in Asia. We shared valuable insights from our whitepapers, which led to organic mentions and Citations from other industry experts and publications.
- Infrastructure: We rebuilt our core web pages on our Mercury Content Management System (CMS). This ensured that every new piece of content was deployed with a clean semantic structure, detailed schema markup (like TechArticle and Organization), and optimal page speed, making our content perfectly "extraction-ready" for AI.
- Dynamic Maintenance: We established a strict quarterly content review process. We update our core guides with new data, insights, and case studies following major AI model releases or market shifts, ensuring their continued currency and relevance.
The Results: The impact of this disciplined, integrated strategy has been transformative. Since fully implementing the A.C.I.D. framework, we have achieved a 1000% gain in our traditional search impressions for our core strategic terms and, more importantly, a 500% increase in qualified inbound lead generation, and 40% lead are referred by the AI Search, Chatbot traffic.

But the most compelling result is the nature of these new leads. This is not just an increase in volume; it's a dramatic shift in the quality and geographic scope of our inbound interest. In the past quarter alone, this strategy has generated unsolicited, high-level inquiries—true "cold leads"—from:
- A major bank in Hong Kong
- A leading fintech startup in Japan
- A leading insurance company
- An innovative securiuty firm in Shenzhen
- A retail giant in China
- A large service company in Vietnam
This demonstrates that a well-executed GAIO strategy, built on the A.C.I.D. framework, transcends local markets and establishes a brand as a global authority, attracting precisely the kind of high-value clients we aim to serve.
Final Thoughts
There is no shortcut to winning in this new era of search. It requires a strategic, disciplined mindset that moves beyond outdated metrics and focuses on building a deep, citable, and trustworthy brand. You are no longer just optimizing for humans; you are optimizing for the AI models that decide what humans see.
The A.C.I.D. framework is our blueprint for this new reality. It’s how we’ve transformed our own visibility, and it’s how we help our clients build a lasting, defensible advantage in the AI-powered future.