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Large Language Model (LLM) Optimization

When users ask AI, will your brand be recommended? We optimize your digital entities so LLMs trust, cite, and recommend you over competitors.

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Avg. Citation Increase

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LLMs Monitored

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Entity Accuracy

Service Breakdown

Our Core Offerings

We deliver specialized expertise to ensure you dominate your specific market vertical.

Entity Association

Train LLMs to associate your brand with key industry concepts and queries.

Knowledge Graph Sync

Ensure your data is accurately reflected in Wikidata and Google Knowledge Graph.

Retrieval-Augmented Generation

Format content so it is easily ingested by RAG systems and AI search agents.

Semantic Corpus Structuring

Build highly structured content that language models process confidently.

Citation Velocity

Increase mentions across the high-authority domains that LLMs use for training.

Hallucination Mitigation

Identify and correct false statements AI models make about your company.

Featured Case Study

Becoming the Default Answer in ChatGPT

A B2B SaaS company noticed they were completely absent when users asked ChatGPT for software recommendations in their niche. We implemented a 3-month LLM optimization campaign, resulting in them being cited as the #1 recommended tool in 85% of relevant GPT-4 queries.

Replicate This Success
85%
Citation Rate
3x
AI-Driven Leads

Frequently Asked Questions

Everything you need to know about our LLM Optimization Services.

LLMO is the process of structuring your digital footprint so that Large Language Models (like ChatGPT, Claude) understand, trust, and recommend your brand as the authoritative answer.
Because models have training cutoffs, immediate results come through RAG (Retrieval-Augmented Generation) systems connected to live search. Base model changes happen during their periodic training updates, usually every 3-6 months.
We track referral traffic from AI platforms, monitor brand sentiment in generated answers, and run automated query testing to measure visibility across different models.
Yes. While SEO focuses on ranking blue links on Google, LLMO focuses on becoming the entity that an AI generates as the factual answer. The content structuring rules are different.
Yes, Perplexity heavily relies on live web search and citations. We optimize your content to be a preferred source for its retrieval engine.