LLM Optimization

Make Your Brand Citable by AI

Large language models are becoming the new search. ChatGPT, Perplexity, Gemini, Claude - they synthesise information and cite sources.

LLM optimization makes sure your brand is one of those sources.

ChatGPT & PerplexityEntity SignalsCitation Tracking

What Is LLM Optimization?

LLM optimization (LLMO) is the practice of structuring your brand, content, and technical foundation so that large language models cite you in their generated responses.

When someone asks ChatGPT for a recommendation, searches Perplexity for a comparison, or triggers a Google AI Overview, the underlying LLM is deciding which sources to synthesise and cite. LLM optimization is the discipline of influencing that decision in your favour.

Who This Is For

  • Brands that want to be cited when buyers ask AI for recommendations
  • Teams already investing in SEO who want to extend into AI search surfaces
  • Businesses in competitive categories where AI citations create differentiation
  • Founders building authority in categories where trust drives buying decisions

LLMO vs SEO vs GEO vs AEO

SEO - Optimising for traditional search engine rankings.

AEO - Optimising for answer-based search surfaces broadly.

GEO - Optimising specifically for generative AI search results.

LLMO - Optimising specifically for how large language models select and cite sources.

In practice, they are layers of the same system. We implement all four as one integrated strategy.

What You Get

How LLMs Select Sources

  • Domain authority - Backlink profile, site age, and established credibility signal trustworthiness
  • Content structure - Clear headings, definitions, structured data, and passage-level specificity
  • Entity recognition - Consistent entity signals across the web, schema markup, knowledge graph presence
  • Topical depth - Content clusters that demonstrate comprehensive expertise
  • Recency - Fresh, updated content with clear timestamps
  • Citability - Specific, quotable statements, statistics, comparisons, and definitions

What We Implement

  • Structured data implementation - Schema markup for content, services, and entities
  • Content architecture for synthesis - Pages structured with clear definitions and passage-level citability
  • Entity building - Consistent brand signals, knowledge graph presence, authoritative mentions
  • AI crawler access - GPTBot, ClaudeBot, PerplexityBot configuration
  • Topical authority clusters - Comprehensive content coverage around core topics
  • Citation tracking - Monitoring brand appearances in AI-generated responses

How We Execute

  1. AI Search Audit

    We assess how your brand currently appears across ChatGPT, Perplexity, Gemini, and Google AI Overviews. We identify citation gaps, competitor positioning, and structural issues.

  2. Build Citation Signals

    We implement structured data, entity signals, and knowledge graph connections that LLMs use to determine which sources to cite.

  3. Create Citable Content

    We build content clusters with clear definitions, structured comparisons, specific data points, and passage-level citability designed for LLM synthesis.

  4. Track and Iterate

    We monitor citations across AI platforms, track which prompts trigger your brand, and refine the strategy monthly based on what is working.

Frequently Asked Questions

What is LLM optimization?

LLM optimization is the practice of structuring your brand, content, and website so that large language models cite you in their generated responses. It targets how ChatGPT, Perplexity, Gemini, and Claude select and attribute sources.

How is LLMO different from SEO?

SEO optimises for search rankings. LLM optimization focuses on being cited within AI-generated answers. LLMs synthesise information and cite the most authoritative, well-structured sources.

How do LLMs decide which sources to cite?

Domain authority, content structure, entity recognition, topical depth, recency, and passage-level citability all influence citation selection.

Related Pages

Answer Engine OptimizationGenerative Engine OptimizationBrand HubSEO/GEO Pricing

Want to Know Where You Stand?

We run a full AI search audit - checking how your brand appears across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Then we build the plan.

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