How AI citation actually works
AI models recommend the brands they have seen mentioned most, across the most trusted sources.
Every AI language model — ChatGPT, Gemini, Claude, Perplexity, Llama — is trained on web content. During training, the model builds associations between brand names and their contexts: what category they operate in, what users say about them, how frequently they appear in discussions, what authority sources reference them. Brands that appear frequently in trusted, contextually relevant sources get stronger entity representations — and get recommended more often.
LLM Citation Building is the deliberate, systematic process of placing your brand in the exact sources that AI training and retrieval systems prioritise. This is the foundational strategy that underlies every platform-specific AI optimisation — and the highest-leverage long-term investment in AI visibility available.
What we do
LLM Citation Building — the full programme
Cross-Platform Citation Audit
Full audit of your brand's current citation presence across Reddit, Quora, Wikipedia, G2, Capterra, Trustpilot, review platforms, YouTube transcripts and editorial publications. We document your current citation density and identify every gap category.
Community Citation Building (Reddit & Quora)
Strategic presence-building in the Reddit communities and Quora topic areas most relevant to your category. We identify the threads, questions and discussions where your brand should appear and build authentic, value-adding mentions that comply with community rules.
Editorial Citation Programme
Placing your brand in the editorial publications that AI models weight most heavily — Forbes, TechCrunch, Entrepreneur, industry trade publications and vertical-specific authority sites. Earned through digital PR, expert commentary and strategic link building.
Review Platform Amplification
Building authentic review presence on G2, Capterra, Trustpilot and industry-specific platforms — the primary AI citation sources for product and service recommendations. Review density and quality are among the strongest AI recommendation signals for consumer-facing brands.
Knowledge Graph & Wikipedia Strategy
For brands that qualify, Wikipedia and Wikidata entries provide the most authoritative entity signals available. We assess your brand's eligibility, research notability sources and manage the Wikipedia entry creation or enhancement process.
AI Visibility Score Tracking
Weekly testing across ChatGPT, Gemini, Perplexity, Claude and other LLMs — measuring citation rate, query category coverage, competitor displacement and overall AI visibility score trajectory as the citation programme compounds.
Our process
Building your LLM citation profile
Citation gap analysis
Full audit of your current citation profile across all major AI-training sources. We document where you are present, where competitors are mentioned but you are not, and the highest-priority gaps to fill.
Priority source programme
Building presence in the highest-impact citation categories first — editorial publications, community discussions and review platforms tailored to your specific industry and brand type.
Systematic expansion
Month by month expansion of your citation footprint across more sources, more query categories and more AI platforms — compounding your visibility score with each new citation acquired.
AI visibility reporting
Monthly AI visibility report showing citation rate across all platforms, new citations acquired, competitor citation comparison and your growing AI visibility score trend.
Common questions
LLM Citation Building FAQs
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