"For every million queries, an estimated 23,000 would yield a negative response by AI Overviews, based on the data from the study. BrightEdge CEO Jim Yu told Fortune while these percentages may seem small, multiplied across hundreds of millions of results, they can still equate to loads of negative queries, which can affect a company's image in the eyes of potential consumers."
"Google, in particular, Yu said, is pulling out negative information associated with products that can sometimes be years old because of the way it pulls information from the internet. Instead of it being on the back pages that's way further down, now it's pulling it into the front page, as people are looking for things about your brand. That's a huge change for businesses."
"A study of hundreds of millions of prompts across three industries (apparel, electronics, and education) conducted by search engine optimization company BrightEdge found Google's AI Overviews was 44% more likely to display negative information about a brand than OpenAI's ChatGPT. Still, when consumers prompted ChatGPT to decide between the two products, the roles flipped, with ChatGPT being more negative."
A BrightEdge study analyzing hundreds of millions of prompts across apparel, electronics, and education sectors reveals significant differences in how AI systems present brand information. Google's AI Overviews displays negative brand information 44% more frequently than OpenAI's ChatGPT, though negative responses represent only 2.3% and 1.6% respectively. When scaled across millions of queries, this translates to approximately 23,000 negative responses per million searches on Google's platform. Google's AI system pulls outdated negative information from across the internet, elevating previously buried content to prominent positions. This represents a substantial shift for businesses, as negative information now appears on front pages rather than distant search results, potentially impacting consumer perception and brand reputation.
#ai-brand-reputation #google-ai-overviews #negative-content-amplification #search-engine-optimization #consumer-perception
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