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AI search engines create new optimization challenge for brands

By PulseAugur Editorial · [1 sources] ·

A new research paper explores Generative Engine Optimization (GEO), a strategy for brands to improve their visibility across AI search engines like ChatGPT, Claude, Perplexity, and Gemini. The study analyzed over 100,000 prompt responses and found a clear hierarchy of brand visibility, with global brands appearing in 73% of relevant AI answers, established mid-market brands in 44%, and smaller brands in only 11%. Corporate websites are the most cited sources (78%), followed by platforms like YouTube and Reddit. The research also highlights that "best-of" listicles are the most effective content format for citations, and brand sentiment can fluctuate significantly. AI

IMPACT Brands must adapt SEO strategies to Generative Engine Optimization (GEO) to maintain visibility as AI search engines become primary information sources.

RANK_REASON Research paper published on arXiv detailing findings about brand visibility in AI search engines. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI search engines create new optimization challenge for brands

COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Pratyush Kumar ·

    Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines

    People increasingly get answers straight from AI search engines like ChatGPT, Claude, Perplexity, and Gemini rather than scrolling search results. Brands that once focused on search engine optimization (SEO) must now optimize for how these engines represent, cite, and recommend t…

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