How Fake Brands Can Win AI Search: New Experiment Reveals Key Insights
The Experiment That Changed AI Search Understanding
A comprehensive 16-month research project conducted with SE Ranking’s team has revealed fascinating insights about how artificial intelligence systems discover and cite new brands. The experiment involved creating 20 websites across various niches, but researchers pushed further by developing a completely fictional brand in a competitive market. The goal was to determine how quickly AI platforms would recognize and reference this new entity alongside established industry leaders and authoritative government sources. The methodology included publishing content across 12 domains, with 11 having over a year of established history. Seven different content formats were tested, from deep guides to comparison articles, tracking responses from five major AI systems including ChatGPT, Google’s AI Overviews, Perplexity, and Gemini. Over 825 prompts generated 15,835 AI responses during the first month alone. Tools like Auto Backlinks Builder and AI Content Aggregator became essential for managing this massive content distribution strategy across multiple platforms efficiently.
Surprising Results From AI Platform Analysis
The experiment revealed striking differences in how various AI platforms handle new brand information. Perplexity emerged as the fastest platform for surfacing fresh content, typically featuring newly published pages in position #1 within just 1-3 days of indexation. However, it often cited additional domains rather than the main brand website. Google’s AI Mode demonstrated the most stability for branded queries, showing the fictional brand at #1 for approximately 90% of relevant prompts. Conversely, Gemini struggled significantly with brand identification, providing 60% of responses without proper citations even for uniquely branded queries. The research showed that 96% of AI visibility came from branded searches, highlighting the challenge new domains face when competing against established players. Content format analysis revealed that deep guides, reviews, and comparison pages generated the highest citation rates, while generic how-to articles and listicles showed minimal impact. An AI Post Images Generator proved valuable for creating compelling visuals that enhanced content engagement across all tested formats.
Strategic Implications for Digital Marketing
The experiment’s findings offer crucial insights for businesses looking to establish AI search presence. High-volume content publishing proved more effective than complex internal linking strategies, with 30 short articles generating over 1,800 citations compared to zero citations from a carefully structured topical silo. Brand positioning emerged as a critical early factor, with pages clearly explaining company identity, offerings, and differentiators becoming the most cited sources. New domains showed they could outperform established competitors by as much as 32x on queries only they could answer, achieving near-exclusive visibility within 30 days. This suggests that while competing broadly remains challenging, brands can carve out specific niches through strategic content creation. The research indicates that AI visibility follows predictable patterns, making it testable and open to strategic influence. Marketing teams can leverage tools like Auto Backlinks Builder to scale their link-building efforts while using AI Content Aggregator to maintain consistent publishing schedules across multiple domains for maximum AI platform exposure.
Source: Can a fake brand win in AI search? New experiment says yes
