Observed Signal · Apr 20, 2026 · Product Launch · Source: Adweek · Impact: 2/5 · Sentiment: Positive
Jellyfish Uses LLMs to Plan Ad Buys
Jellyfish, an agency owned by Brandtech Group, is promoting a product called "Share of Model" that uses large language models (LLMs) to inform media planning. The product measures how often LLMs mention a brand versus competitors, analyzes themes, sentiment and cultural context, and converts those insights into targeting signals for Google’s Performance Max (PMax) campaigns. Jellyfish cites a Project Management Institute (PMI) case where the approach drove a 20% lift in sales volume, a 45% increase in conversions and a 156% improvement in return on ad spend across a 90‑day campaign that concluded in early January. The article frames this as an example of brands moving from using AI assistants for discovery toward using LLM outputs to shape media strategy and targeting.
Shows an emerging use of LLM outputs to drive media planning and directly integrate with Google Performance Max; includes a measurable case study but is an agency-level product rather than a platform-level technical release.
Track Jellyfish Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Jellyfish is a Brandtech Group-owned agency.
- Jellyfish introduced a product called "Share of Model" that measures how often AI models mention a brand versus competitors and analyzes themes, sentiment, and cultural context.
- Share of Model translates LLM-derived insights into targeting signals for Google’s Performance Max (PMax) campaigns.
- Jellyfish reports that a 90-day PMax campaign for Project Management Institute (PMI) delivered a 20% lift in sales volume, 45% more conversions, and a 156% improvement in return on ad spend (campaign ended in early January).
- The article notes brands are moving beyond discovery with AI assistants such as ChatGPT and Gemini toward using LLMs to plan ad buys.
Connected Companies & Entities
3 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Brands Navigate AI Search: Visibility in a Chatbot Era
An interview on how brands can stay visible in the era of AI-driven LLM search. Jellyfish executives Frederic Derian and Victor Bastia discuss how chatbots reshape consumer search, reducing emphasis on traditional SEO and complicating attribution. Jellyfish claims its Share of Model tool automatically generates advertising optimisations by leveraging AI brand perception from AI models, connected to LLMs such as ChatGPT and Gemini, to keep brands searchable, visible, and shoppable in the generative-search ecosystem. The tool purportedly helps target niche terms identified by the LLMs, driving higher-quality traffic and conversions. Safeguards include human verification before applying changes, alignment with brand guidelines via Google Ads, and iterative refinement. The article notes risks like AI hallucinations and emphasizes semantic analysis across models. The outlook positions AI-driven brand perception as shaping future e-commerce and product visibility strategies.
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.
Jellyfish Launches AI Ads Optimisation in Share of Model
Jellyfish, a global digital marketing company within The Brandtech Group, announced AI Ads Optimisation — an expansion of paid-media optimisation inside its Share of Model™ platform. The update extends beyond existing Google Ads / Performance Max integration to produce AI-driven media optimisation and insights for ChatGPT-driven experiences and major channels including TikTok, DV360, YouTube and Reddit (the latter via pilots). The release also adds an always-on strategy assistant that continuously surfaces recommendations across SEO, brand, PR, paid media and ecommerce teams. Share of Model, launched in 2024 to track brand visibility in LLMs, has been cited by Harvard Business Review and MIT Technology Review. Google PMax, YouTube, DV360, ChatGPT and TikTok support are available globally today.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.