AI Overviews Surface Negative Reviews, Pose Brand Reputation Challenge

Global brands face a new reputation management challenge as artificial intelligence overviews increasingly surface negative customer reviews without direct user inquiry, according to industry experts.

This shift means AI comparison queries now function as unsolicited reputation audits, synthesizing public sentiment from diverse online sources and potentially misrepresenting brand statements, Erase.com, a digital reputation management firm, reported.

AI search engines like Google, ChatGPT and Perplexity are citing negative reviews based on factors such as recency, volume, specificity, platform authority and recurrence across multiple sources.

Companies must now proactively manage their digital footprint to mitigate the impact of AI-driven summary results.

Erase.com proposed a four-step framework for brands to address this emerging issue, which includes auditing negative signal footprints, prioritizing issues based on their likelihood of surfacing, removing or responding to negative content where possible, and building a positive content layer.

Key platforms for auditing negative signals include established review sites such as Trustpilot, G2, Capterra and Yelp, as well as industry forums like Stack Overflow and social media platforms.

Tools from companies like Semrush and Ahrefs can assist in identifying these negative mentions, the firm said.

The increasing tendency of AI engines to misquote or misrepresent brand statements further complicates reputation management efforts, Erase.com noted.

This new environment necessitates a strategic shift from reactive crisis management to proactive digital hygiene, a spokesperson for Erase.com told Fast Company.

Brands must monitor their online presence more diligently to ensure AI overviews accurately reflect their public image.

Source: Search Engine Journal