Large Language Model Optimization to Get Your Brand Cited by AI
People now ask ChatGPT, Gemini, Claude, Perplexity and Copilot for recommendations. Growth Dash helps your brand become a clear, trustworthy, citable answer inside those models.
What is LLMO?
Large Language Model Optimization (LLMO) is the practice of making your brand, products and expertise easy for AI models to understand, trust and mention. Traditional SEO helps pages rank in a list of links. LLMO helps your brand appear inside generated answers, whether the model draws on its training data, on live web retrieval or on both. It overlaps with generative engine optimization and answer engine optimization, and it builds on strong SEO rather than replacing it.
How AI models decide what to mention
No one outside the AI companies knows the exact mechanics, and anyone who promises guaranteed placement in ChatGPT is overselling. What we do know from how these systems work and from testing is that they tend to favour sources that are clear, consistent across the web, factually specific, well structured and widely corroborated. Models that browse the web use search indexes, so classic ranking factors still matter. Our work focuses on the signals within your control.
Our LLMO services
1. AI visibility audit
We test a set of commercially important prompts across major assistants, recording whether your brand is mentioned, how it is described, which competitors appear and which sources are cited. This gives a baseline and reveals misinformation or gaps.
2. Entity and brand clarity
We make sure your name, services, locations, founders, categories and differentiators are described consistently on your site, Google Business Profile, LinkedIn, directories and reputable third-party sites. Consistent entity information helps both search engines and AI systems.
3. Answer-ready content
We create or restructure pages so each key question gets a direct, accurate, quotable answer near the top, followed by depth, examples and evidence. This includes definitions, comparisons, step-by-step guides, pricing explanations and FAQs.
4. Structured data and technical readiness
We implement schema markup for Organization, Service, Product, FAQ, Article, Review and LocalBusiness where valid; ensure AI crawlers are not accidentally blocked in robots.txt unless you choose to; and publish an llms.txt file summarising key resources. Our technical SEO team checks crawlability, rendering and speed.
5. Authority and citations
Third-party mentions matter. We pursue expert quotes, digital PR, industry directories, reviews, research and links from credible sources, so models see your brand corroborated beyond your own site.
6. Original data and expertise
Models and users value information that cannot be found everywhere. We help you publish original research, case studies, benchmarks and expert commentary with named authors and credentials.
7. Monitoring and iteration
We track mentions, citations, sentiment and referral traffic from AI platforms over time and refine content. Results vary by model and change quickly, so we report trends honestly.
What LLMO is not
- It is not a trick for manipulating models; attempts to game them tend to be short-lived.
- It is not a replacement for SEO; strong organic visibility feeds AI visibility.
- It is not guaranteed; we improve your odds and your accuracy.
Who needs LLMO
Brands in categories where buyers research with AI: software and SaaS, professional services, ecommerce, healthcare information, finance, education, travel and local services. If prospects ask an assistant for the best provider in your space, you should know what it answers.
Getting started
- Share your products, markets and competitors.
- We run the AI visibility audit and deliver findings in plain language.
- We agree a roadmap combining content, technical and authority work.
- We implement, monitor and report monthly.
Also explore AI brand visibility and hybrid engine optimization.
LLMO FAQs
Large Language Model Optimization: improving how AI assistants understand, trust and mention your brand.
No one can. We improve the signals that influence AI answers and measure progress, but we do not promise specific placements.
They overlap. SEO targets rankings in search results; LLMO targets mentions and citations in AI answers. Good SEO supports both.
ChatGPT, Google Gemini and AI Overviews, Perplexity, Microsoft Copilot, Claude and others that matter to your audience.
Technical and content improvements can show up in weeks for retrieval-based tools, while broader authority takes months. We share trends transparently.