Observed Signal · Jan 16, 2026 · Product Launch · Source: ExchangeWire · Impact: 2/5 · Sentiment: Positive
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.
Moderate industry impact; discusses a new AI-driven brand-perception tool and its potential to improve advertising performance.
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Key Takeaways & Evidence Grounding
- Jellyfish claims its Share of Model tool automatically generates advertising optimisations by leveraging AI brand perception from AI models.
- The Share of Model tool connects to LLMs including ChatGPT and Gemini.
- The tool aims to make brands more searchable, visible, and shoppable in the generative search ecosystem.
- Campaign changes are not applied without human verification and must align with brand guidelines from Google Ads.
- Users report increased traffic and conversions by uncovering underexploited pockets of performance.
Connected Companies & Entities
2 Entities mappedRelated Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
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.
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.
Jellyfish Report: Generative Engine Marketing Guides Brands
Jellyfish published a report titled "Brands in the AI Era: Generative Engine Marketing" (May 5, 2026) that defines Generative Engine Marketing (GEM) as a systematic framework for brands to be discoverable, understood and transacted with by large language models (LLMs) and AI agents. The report positions GEM as an end-to-end marketing system — building on Jellyfish’s Share of Model™ platform — that combines technical optimisation, content creation, pre-testing, distribution and measurement to make brand assets interpretable by AI and resonant with both human and machine audiences. Jellyfish cites client results (Gentle Monster and MSC Industrial) showing double-digit improvements in CTR, conversion and revenue after AI-driven optimisations. John Dawson, Vice President of Strategy at Jellyfish USA and co-author of the report, is quoted throughout explaining the need for brands to “train the models” that mediate customer journeys.
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