How Large Language Models Understand Your Brand Matters.

When users ask ChatGPT, Gemini or Perplexity about your category, product or problem — what do the models say? LLM SEO ensures they describe you accurately, favourably and frequently.

Audit My LLM Presence

The Models Are Already Talking About You

Every day, millions of people ask AI models questions about products, services, brands and solutions. For many of these queries, the AI provides an answer without a search result link — and the brands it mentions are the ones positioned correctly in its knowledge.

If an LLM describes your business inaccurately, doesn't know about your key services, or consistently recommends competitors in your category — you are losing business to a system you never optimised for.

LLM SEO is the systematic approach to ensuring AI models have accurate, positive and comprehensive knowledge of your brand.

Without LLM SEO

AI describes you generically, inaccurately or not at all. Competitors dominate model responses. Brand appears untrustworthy or outdated in AI outputs.

With LLM SEO

AI accurately describes your services, expertise and differentiators. Brand appears in relevant AI responses. Entity data is clean, consistent and authoritative.

How We Optimise for Language Models

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LLM Brand Audit

Systematic testing of how major LLMs describe your brand, services, and category position today.

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Knowledge Graph Optimisation

Ensure your entity data in Google Knowledge Graph and Wikidata is accurate, complete and consistent.

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LLM-Ready Content

Create content structured for extraction by language models — clear facts, entity associations, authoritative sourcing.

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Citation Building

Earn mentions from authoritative sources that LLMs use to validate brand claims during training and retrieval.

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Entity Disambiguation

Ensure your brand entity is clearly distinct from competitors, common terms or unrelated entities.

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Brand Consistency Audit

Audit and align your brand description, services and positioning across all web sources LLMs index.

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AI Platform Optimisation

Optimise presence on sources LLMs frequently retrieve from: Wikipedia, industry publications, directories.

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LLM Share-of-Voice Tracking

Monitor how often your brand appears in AI responses vs competitors across relevant query sets.

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Model Correction Strategy

Identify and correct inaccurate LLM beliefs about your brand through strategic content and PR.

LLM SEO Questions

LLM SEO is the practice of optimising your brand's digital presence so that large language models — ChatGPT, Gemini, Claude, Perplexity — accurately understand, represent and cite your business when users ask relevant questions. It combines entity optimisation, content structuring and authority signal building.

LLMs learn from web content included in their training data, real-time retrieval from the web (for search-enabled models), entity knowledge bases, structured data and cross-domain citation patterns. The more consistently and accurately your brand is represented across these sources, the more accurately LLMs will describe it.

You cannot directly edit what an LLM says. But you can influence it by ensuring your brand is represented accurately and consistently across authoritative web sources, structured data, knowledge bases and PR mentions — which is the core of LLM SEO.

We measure LLM SEO through: brand mention accuracy audits (does the LLM describe you correctly?), citation frequency across query clusters, share-of-model-voice vs competitors, entity coverage in knowledge bases and referral traffic from AI-assisted search platforms.

Ready to Control Your AI Narrative?

Let's audit what AI models currently say about your brand and build a strategy to make it work in your favour.