LLM
A Large Language Model (LLM) is the backbone of the AI search revolution, transforming how users forrage and find information online.
LLMs use prediction parameters to calculate the most likely next word in a response based on statistical probability. If you ask us, these systems do not "think", they calculate.
LLMs are trained on massive datasets and possess the ability to synthesize and generate human-like text responses to complex, natural language queries.
Why It Matters
LLMs are increasingly used to perform web searches and compare products. While not directly connected to the live internet in their training phase, modern implementations use Retrieval-Augmented Generation to gather text from the web before presenting a statistically optimized answer. Therefore, content must be well-suited for LLM processing, clear, authoritative, and structured to gain visibility.
How We Use It at Soprano
We query LLMs like ChatGPT, Perplexity, Claude, Google AI Overview and Gemini every day to better understand what brands are presented and why. With this information, we discover content gaps, preferred sources, or specific vocabulary. This gives us constant guidance on what LLMs prefer and how we can adjust marketing accordingly.
One of the best things going from SEO to AEO, while testing SEO could take weeks, testing updated content with an Answer Engine takes minutes.