LLMO : For Dominating The New AI Search Frontier

By Thomas Herd

LLMO White Paper- How & Why T1 Clients Will Dominate The New AI Search Frontier

At the core of T1 Advertising’s SEO business model has been breakthrough innovations that enable our clients to identify, rank top of Google for, and as a result dominate the untapped, neglected, or underserved high intent demand directly related to what they sell. 

Our two white papers on Blue Ocean SEO and Rank and Radius provide solutions for this in 2 unique ways, with each of these services identifying and then administering data backed, bankable solutions for how our clients can maneuver to grab hold of large, untapped pools of market demand that the rest of the market has either not been able to find or position themselves in front of. 

The New Frontier of AI Search

Looking ahead, the next frontier of untapped search demand unquestionably lies in the answers and suggestions given by AI search and answer engines such as ChatGPT, Gemini, and Perplexity. 

The technical name for how to influence results on these platforms is Large Language Model Optimization (LLMO) and we have honed a new framework that will enable our clients to achieve outsized and superior results across all AI search and answer platforms, both in terms of: 

  1. AI Answer Platforms Reputation Management how our clients are positioned and presented across the major AI search and answer engines such as ChatGPT, Gemini, and Perplexity. 
  2. AI Answer Platforms Search Results & Recommendations how frequently and saliently our clients are promoted and recommended to provide solutions/products/services for related searches in their field.

In this white paper, we will walk through how Large Language Model systems work and then we will outline our reverse-engineered solutions for both AI Reputation Management Optimization and AI Search Results Optimization so that you can glean how we will deliver you first to market answer prompting in this huge new market with peak positioning. 

In order to understand how to position clients for best results on AI search platforms, it is essential to understand how they work as well as how they differentiate from traditional search engines like Google.

LLMO Vs. SEO

LLM Optimization (LLMO) differs from Traditional Online Search Optimization (SEO) in several key respects due to the differences in how users interact with AI-powered answer systems versus traditional search engines like Google. 

Here’s a summary of the core differences:

1. Searcher Intent & Interaction Style

  • Traditional SEO: Optimized for keyword-based, short-form queries (e.g., “best hiking boots 2025”).
  • LLMO: Optimized for natural language, conversational prompts (e.g., “What are the best hiking boots for long-distance treks in 2025?”) with suggestions being generated based on what company/entrepreneur/organization is demonstrated by authority sources (publications and encyclopedias) and high-context content (blogs) that clearly show the company/entrepreneur/organization is a leader in its niche.

2. Content Structure

  • Traditional SEO: Prioritizes scannable, keyword-dense pages with headers, meta descriptions, and structured data.
  • LLMO: Prioritizes well-written, high-context and semantic content (especially idiomatic vernacular) that answers questions in a more context dependent casual, human-like way and can be summarized or cited directly by the LLM. Content specifically designed to address real questions highlighting how a Client’s unique selling point enables them to do so would be aligned with how AI platforms answer such queries.

3. Ranking Mechanism

 

  • Traditional SEO: Rankings are based on search engine algorithms (e.g., Google’s PageRank), backlinks, and crawlability.
  • LLMO: Visibility is based on how well your content is understood, remembered, and referenced by LLMs trained on a mix of public and proprietary datasets. LLM prioritizes high authority references such as reputable press article links, google knowledge panel and encyclopedia (wikipedia, wikidata, etc.) links

4. Discovery Pathways

 

  • Traditional SEO: Click-through from search engine results pages (SERPs).
  • LLMO: Visibility comes through being named, cited, or recommended by AI tools in direct answers, chats, or tool integrations (e.g., ChatGPT plugins or Perplexity sources).

5. Success Metrics

 

  • Traditional SEO: Focus on rankings (Google SERP’s), impressions, click-through rate (CTR), bounce rate.
  • LLMO: Focus on mention frequency, contextual accuracy, entity linking, and citation inclusion in LLM responses.

Thus in order to ensure our client’s content is being best accessed, engaged, valued, and then prompted by AI search and answer platforms, our foundational pillars have to check each of these key boxes above for LLMO, specifically: 

Keys To Dominate LLM- T1’s LLMO Framework

  1. Niche LeadershipWhich we can deliver through the combination of:
    1. A List, Tier 1 Press– 
      1. 3rd party authority validation highlighting a client as a leader in its niche 
      2. Emphasizing USP in all article content with likely prompt phrasing for the Client’s niche (so for the example of ‘what are the top ski resorts in Utah’ our content would classify the client as being considered a top ski resort in Utah)
    2. Blue Ocean SEO: 
      1. Dominate blue ocean keywords for a client’s niche, reinforcing niche market supremacy and consumer fidelity 
      2. Emphasizing USP in all Blue Ocean Blog content and aligning content with likely prompt phrasing  (so for the example of ‘what are the top ski resorts in Utah’ our content would classify the client as being considered a top ski resort in Utah)
  2. Content Adaption for Easy Pickup for AI Platforms: 
    1. Optimizing our client’s structured website data to be structured with JSON-LD for optimized schema markup This makes it easy for AI platforms to contextualize, understand, remember, and reference our clients for answer prompting
    2. Optimizing our client’s on site and off site content to address real questions and highlight how their unique value propositions enable them to be the best recourse for what people are seeking answers to. 
  1. Direct Content Integration Through API’s
    • Developing our clients’ own API so ChatGPT, Gemini, and Perplexiity can directly read and register their products which our in house developers can do for us
    • This enables you to directly influence what ChatGPT can say about your brand, products, or services—turning it from a passive observer into a powerful AI-aligned sales and support channel. Specifically, such a configuration will enable you to: 
      • Pull real-time data from your systems (inventory, prices, service menus, FAQs, bookings, etc.)
      • Respond with accurate, branded answers when users ask questions related to your business
      • Perform transactions or actions on your behalf (e.g., book appointments, submit orders, answer support questions)

Example Use Cases:

  • Luxury hotel brand: ChatGPT can pull availability, amenities, and book rooms directly through the API.
  • E-commerce: ChatGPT can check live inventory, recommend products, or create orders.
  • B2B SaaS: ChatGPT can explain your platform, offer guided demos, and push MQLs to your CRM.

4. Drip Fed AI Prompting and Answer Optimization At Scale

Using the 1200 influencers in our engagement groups, we can activate an army of real AI system users with established profiles and virtual support relationships with AI to drip feed the types of questions we want our clients to be featured in and then provide meaningful, real feedback at scale on how we want answers to be shaped so that they align with our client’s ideal positioning and are reinforced to AI platforms as the most frequently discussed, referenced, and notable providers for the topic. 

Best In Class Case Studies

Our LLMO playbook is already producing industry-leading results in both key areas initially outlined, namely: 

Reputation Management on AI Platforms- where our clients like Raj Toleti, CEO of Andor Health is below accredited by ChatGPT (thanks to our articles, encyclopedias, and content alignment) to be established by ChatGPT as a visionary founder and thought leader for his niche. 

Platforms Search Results & Recommendations – where our clients like Wander Luxury Vacation Rentals are the very first suggestion prompted by ChatGPT for questions related to their niche dominance and unique value propositions (hotelifying vacation rentals)

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