Jellyfish Uses LLM Perception to Boost Brand Visibility

Jellyfish describes how its proprietary Share of Model tool uses large language models (LLMs) to analyse brand perception and automatically generate advertising optimisations. The tool connects to LLMs including ChatGPT and Gemini to continuously assess how models and underlying sources perceive a brand, surface keyword and sentiment opportunities, and suggest campaign adjustments. Jellyfish says recommendations are iteratively refined, aligned with clients' brand guidelines (sourced from Google Ads accounts), and always require human verification before application to avoid hallucinations or brand-messaging mismatches. The company reports that tapping LLM-derived perceptions has uncovered lower-cost, high-converting keyword pockets and improved traffic quality for some clients. Jellyfish notes brand perception can vary across different LLMs and positions the approach as a way for brands to remain searchable and shoppable in a generative search ecosystem.