LLM Optimization
Shape how large language models understand and describe your brand.
Every major AI assistant is built on a large language model that learned about your industry — and your brand — from the web. LLM optimization influences that understanding: what the model knows, how accurately it describes you and whether it recommends you, across training data and real-time retrieval.
Why Your Business Needs LLM Optimization
Accurate Brand Facts
Correct what models say about your products, pricing and positioning.
Retrieval-Ready Content
Pages optimized for the retrieval layer models use for current answers.
Long-Term Advantage
Representation compounds with each model update — early work pays for years.
Our Approach
How We Deliver LLM Optimization
Two Layers: What Models Learned and What They Retrieve
Models combine knowledge from training with real-time retrieval. Training reflects your historical web footprint; retrieval reflects your current content and its accessibility. We audit both — what models currently say about you and what they can find — and address each layer.
- ✓Model response audit across major LLMs
- ✓Training-data footprint analysis
- ✓Retrieval accessibility and structure review
Building Representation That Sticks
We create clear, canonical descriptions of your brand and offerings, distribute them consistently across trusted sources, produce structured content for retrieval, and earn the third-party corroboration that models weight — then re-audit as models update.
- ✓Canonical brand and product descriptions
- ✓Consistent distribution across trusted sources
- ✓Structured, retrieval-ready content
How It Works
A proven process, a dedicated specialist, and reporting you can actually read.
AI Visibility Audit
We test your priority queries across AI Overviews, ChatGPT, Gemini and Perplexity to see who gets cited today — and why it isn't you.
Entity & Content Engineering
Structured data, entity clarity and citation-friendly content formatted the way language models extract and attribute answers.
Authority & Mentions
Brand mentions on the sources AI models trust most — reviews, publications, forums and industry data sets.
Monitor & Iterate
Monthly tracking of citations, mentions and AI referral traffic, with strategy updates as the models change.
What's Included
Every campaign is built for your market and goals — this is the core of what we deliver, every month, in plain sight.
Frequently Asked Questions
Can you change what an LLM already 'knows'?
Not directly — but you can shape what it learns in future training runs and what it retrieves right now. Consistent, accurate information across trusted sources improves both over time.
Which models should we optimize for?
The foundations are model-agnostic: clear entity signals, consistent facts and retrieval-ready content help every model. We then prioritize the assistants your customers actually use.
Ready to Be the Answer AI Gives?
Free AI visibility audit, custom GEO strategy, no lock-in contracts.