Brandi AI launches Sentiment Hub to track how AI describes brands
Brandi AI’s new Sentiment Hub tracks not just mentions in AI answers, but whether ChatGPT and Copilot frame a brand in ways that help or hurt revenue.

Brandi AI has moved the AI search conversation past visibility alone. Its new Sentiment Hub, announced June 3, 2026, is a patent-pending brand-intelligence capability built to measure how AI systems describe a brand after it appears, not just whether it appears at all.
The product lets marketing and PR teams define the market categories, buyer questions, competitive comparisons and brand attributes they care about, then watch the language used across ChatGPT, Microsoft Copilot, Google AI Overviews and Perplexity. Brandi says the system can identify source-level sentiment drivers and show whether an answer reinforces a brand’s positioning, tilts toward a rival, or repeats outdated third-party narratives that undercut the message a company is trying to own.

That is the shift Leah Gabriel Nurik is betting on. As Brandi’s founder and CEO in McLean, Virginia, she argues the old measurement problem was whether a brand showed up in AI answers; the new problem is whether AI tells the right story once it does. Nurik has framed the gap between a company’s story and AI’s story as lost revenue, which is a much sharper way to describe the risk than the usual visibility talk. Brandi launched its broader AI visibility and GEO platform on October 8, 2025, and Sentiment Hub extends that play from presence into narrative control.
The timing makes sense. Brandi’s June 3 release says nearly three in five consumers have already replaced traditional search engines with generative AI for product recommendations, and two-thirds of B2B buyers use generative AI as much as or more than traditional search when they research vendors. If buyers are getting their first impression from an AI summary, then phrasing matters as much as placement. A brand can still be visible and still lose the sale if the system describes it as generic, outdated or second-best.
Brandi has been pushing that argument since March 2026, when it said AI citations are overwhelmingly non-paid and roughly 27% come from earned media coverage. That lines up with a broader measurement shift: Semrush’s AI Visibility Index analyzed 2,500 real-world prompts across ChatGPT and Google AI Mode, Search Engine Land said AI search is projected to surpass traditional search by 2028, and research from Adobe, Forrester and Bain & Company keeps pointing to the same pressure point. AI summaries are increasingly where discovery, comparison and reputation all happen at once, and the brands that win will be the ones that know not just where they appear, but how they are characterized.
This article was produced by Prism’s automated news system from verified source data, official records, and press releases, then run through automated quality and moderation checks before publishing. The system is built and supervised by the people who set the standards it runs under. Read our full AI policy.
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