EMARKETER senior analyst Blake Droesch reports that AI platforms are narrowing product discovery, forcing brands to rely on owned websites and authoritative third-party signals for visibility. This shift challenges traditional marketing ROI as brands navigate the complexities of generative engine optimization.
The compression of the digital shelf means streaming services and hardware brands can no longer rely on broad SEO to capture intent. As LLMs prioritize owned websites and authoritative earned media, the industry must pivot toward high-intent, specific product positioning to surface in multi-condition queries. This shift challenges the traditional ad-spend model, as visibility now depends on being a primary training source rather than just a top search result. In the broader ecosystem, this reinforces the value of direct-to-consumer platforms over third-party aggregators. Watch for brands to shift budgets from performance advertising toward technical site architecture that feeds AI crawlers more effectively.
As the multimodal AI market growth accelerates, the competition for training data and brand authority is expected to intensify across all digital sectors. Meanwhile, AI product recommendations are increasingly serving as critical mid-funnel drivers for consumer discovery.
Generative engine optimization is under scrutiny as AI platforms like ChatGPT and Gemini limit consumer product visibility. By prioritizing brand websites and authoritative signals, these models compress search results. This shift forces companies to move beyond traditional SEO, as visibility now depends on being a primary training source for LLMs.
AI platforms like ChatGPT and Gemini show a smaller selection of products compared to traditional retail aisles or Amazon search results, as they prioritize brand websites and authoritative third-party signals.
Large-footprint brands such as Nike and Adidas currently dominate broad AI queries, largely due to the extensive training data available for these established companies.
Marketers are being encouraged to pivot toward high-intent, specific product positioning and invest in technical site architecture that effectively feeds AI crawlers, rather than relying solely on traditional performance advertising.
Marketers are questioning whether the marginal gains in AI visibility are sufficient to justify the high costs associated with specialized generative engine optimization services.
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