LLM Citations

    LLM citations are the source references that AI language models include in their responses - links or mentions of specific content that informed the generated answer.

    When AI tools like Google AI Overviews or Google's AI Overviews generate a response, they often cite the sources they drew on. These LLM citations (references from large language models) indicate that the AI retrieved and used specific content to inform its answer. Being cited is valuable - but being recommended is the goal, and citation is one route towards it.

    Not all AI tools cite sources

    Perplexity and Google AI Overviews routinely include citations. ChatGPT (in its standard mode) and Claude typically do not. Citations are therefore most relevant as an optimisation target for retrieval-augmented generation (RAG) systems - those that actively search the web before generating a response.

    Getting cited doesn't guarantee getting recommended

    An AI tool might cite your website as background information without actually recommending your business. The goal for GEO is recommendation - appearing as a named suggestion when a buyer asks which business to use. Citations are a useful leading indicator but not the end goal.

    Content that earns citations tends to be specific and structured

    AI tools retrieve content that clearly answers specific questions. Pages with concise, well-structured information - clear headings, specific claims, defined services - earn more citations than vague or marketing-heavy content. The same content quality that earns citations tends to drive AI recommendations.

    Citations build over time

    AI tools refresh their retrieved content on rolling schedules. Changes you make today won't appear immediately in citations. Building a strong citation footprint is a gradual process that compounds over months - which is why GEO is a long-term programme, not a one-time fix.

    What this means for your business

    AireStream tracks not just whether your business is mentioned in AI responses, but whether your content is being retrieved and cited as source material. This distinction helps us identify whether visibility gaps are a retrieval problem (AI isn't finding your content) or a recommendation problem (AI finds you but doesn't recommend you).

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