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Pando launches QueryScope to track brand visibility in AI search

Pando’s new QueryScope shows brands where rivals are winning AI search questions they never tracked, and pairs that gap data with ongoing monitoring.

Nina Kowalski··3 min read
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Pando launches QueryScope to track brand visibility in AI search
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Pando Public Relations rolled out QueryScope on June 2, putting a sharper lens on a problem many brands still miss: AI search does not just reward visibility, it rewards the right visibility. The platform is designed to show exactly how a brand appears in AI-generated answers, where it disappears, and which competing narratives are taking those spots.

The launch is built around five functions Pando says matter most in AI discovery: source mapping, model favorability, competitor intelligence, language pattern analysis and visibility gap analysis. Jennifer Harrison, Pando’s founder and CEO, said the company built its own software because the off-the-shelf tools it reviewed did not provide enough detail about how brands actually appear in AI answers. That distinction is the heart of QueryScope’s pitch. Instead of treating AI search like a simple mention tracker, Pando is positioning it as a public-relations intelligence layer that can inform content, earned media and reputation strategy.

AI-generated illustration
AI-generated illustration

Pando says QueryScope uses proprietary software to run prompt queries at scale across multiple AI models, which lets it surface not only brand presence but also source influence and competitive positioning. The company also tied the launch to QueryPulse, a companion capability that tracks shifts in AI-generated answers over time. That makes the system more useful for ongoing reputation management than for a one-time audit, especially when brand narratives can change as models update and source patterns shift.

The practical value is in the blind spots. If a rival is winning prompts a brand never thought to monitor, QueryScope is meant to expose that gap before it hardens into market perception. That can shape a content calendar, an FAQ refresh, a spokesperson strategy or a broader PR plan aimed at the sources and phrases AI systems seem to trust most. In Pando’s framing, the job is not just to measure what appears in AI search, but to identify what is missing and why.

The timing also matters. On the same day, Burson said its Credibility Paradox study drew on 55,000 believability scores across 85 companies and found business decision-makers rated AI-generated answers about 10 percent more convincing than the general population. Around the same time, 5W Public Relations said its AI Platform Citation Source Index synthesized more than 680 million citations across ChatGPT, Google AI Overviews, Perplexity, Gemini and Claude, and found Reddit was the top source across every major engine at roughly 40 percent frequency. Taken together, those releases point to a market that is moving fast from simple visibility checks to source-level scrutiny.

Pando’s own niche gives the launch added weight. The firm works exclusively with education and education technology companies and says it has represented more than 50 organizations across K-12 education, higher education and the training and workforce sector over more than 20 years. In that kind of specialized market, where trust, citations and category language can shape buying decisions, QueryScope is aimed at the part of AI search that matters most: the competitors a brand does not yet know it is losing to.

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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