Stories
Why Brands Fail in AI Search Despite Being Known by ChatGPT and Gemini
- •A study by NeuroRank reveals that while 122 brands across nine sectors have visibility on AI platforms, this presence rarely translates into business-driving recommendations.
- •Brands performed significantly better when consumers explicitly named them in prompts, achieving 56.2 percent high inclusion compared to just 17.8 percent for unnamed category queries.
- •Shortlist prompts represent a major blind spot for marketers, delivering only 20 percent high inclusion as AI assistants independently select options within a category.
- •Consumers increasingly spend 16 to 20 minutes researching products within AI chats and rarely click external links, leading to a new discovery dilemma for brands.
- •AI-generated hallucinations pose additional risks to brand perception and business outcomes, forcing companies to move beyond traditional SEO to govern narratives across AI platforms.
Key Questions Answered
According to a study by NeuroRank, brands perform well when consumers explicitly mention their names in prompts, but visibility fails to translate into recommendations because AI models rarely pick brands independently from a category. While brand-named prompts achieved 56.2 percent high inclusion, unnamed category prompts managed only 17.8 percent.
The study identified shortlist and recommendation prompts as the biggest blind spot for marketers. While comparison queries that explicitly named brands achieved 48.4 percent high inclusion, shortlist prompts delivered just 20 percent high inclusion.
AI-driven research is heavily influencing customer acquisition while making attribution difficult, as consumers complete research inside platforms and bypass traditional search funnels. Brands are reporting higher direct traffic and faster conversions, but low click-through rates on AI responses mean people rarely click external links.
