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iQuanti and Profound Partner to Advance Organic Search for AI Answer Engines

iQuanti and Profound Partner to Advance Organic Search for AI Answer Engines

iQuanti has announced a strategic partnership with Profound that aims to redefine how brands compete and win visibility in the rapidly emerging AI powered discovery landscape. The collaboration integrates Profound’s real time AI visibility intelligence into iQuanti’s performance marketing and analytics platform, enabling enterprises to manage answer engine visibility as a measurable channel. The companies say the partnership marks a turning point for organic search as AI generated responses increasingly reshape where and how customers begin their buying journeys.

iQuanti, a long standing leader in data driven digital marketing, says the integration will allow brands to track their presence within conversational and generative AI ecosystems such as ChatGPT, Perplexity, and Google AI Mode, treating them as performance channels comparable to paid and traditional search. The move reflects the accelerating shift in consumer behavior as more shoppers rely on conversational AI to surface recommendations and support decision making before traditional click based search results are even reached.

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“As a data driven digital marketing leader, iQuanti is uniquely equipped to help brands navigate the AI search revolution,” said Arnab Sen, CEO at iQuanti. “With this partnership, we are enhancing our search solution to give brands unprecedented visibility into how they appear across Answer Engines transforming passive discovery into a measurable and actionable part of their marketing strategy.”

Ben Grosse, Head of Partnerships and Growth at Profound, said brands must understand how AI systems evaluate and describe products to maintain a competitive advantage. “AI generated answers are quickly becoming the first place people turn to discover brands online,” Grosse said. “As more journeys start in ChatGPT, Perplexity, or Google AI Mode instead of ten blue links, brands need to understand exactly how these systems interpret, talk about, and recommend their products. By combining Profound real time AI visibility intelligence with iQuanti performance marketing expertise, we are turning answer engines from a black box into a channel teams can actively shape, optimize, and tie back to real business outcomes.”

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The partnership builds on iQuanti’s proprietary research into Generative Engine Optimization, also known as Answer Engine Optimization, which examined more than eight million data points to identify the drivers influencing brand appearance and citation ranking in AI generated responses. The research found that traditional organic search fundamentals still matter significantly, but non SEO factors such as content authority signals and contextual relevance also play an outsized role in shaping how large language models respond.

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With Profound’s real time data now integrated, iQuanti clients gain the ability to continuously monitor visibility across answer engines, measure performance shifts, and make iterative adjustments to improve positioning inside AI generated output. The companies describe the collaboration as essential for organizations aiming to control narratives and strengthen competitive advantage as AI reshapes the buyer journey.

Justin Harris, Vice President of Search Solutions at iQuanti, said the partnership sets a new operational standard. “This partnership represents the convergence of solution expertise and enhanced AI visibility. By integrating Profound real time visibility intelligence into our optimization solutions, we are helping brands understand how they appear in AI answers as well as actively improve and scale that visibility across LLM platforms.”

As AI becomes the default starting point for consumer research, visibility within answer engines rather than traditional page rankings may determine which products gain attention and which fall behind. The partnership between iQuanti and Profound reflects the urgency facing marketers as the future of discovery shifts from static listings to conversational AI environments built around context and intent.

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