June 11, 2026
What Is ChatGPT Saying About Your Brand? Sprinklr’s AI Visibility Tool Will Help You Find Out
Sprinklr has launched a tool that lets enterprises monitor how they appear in AI search results. It will also empower them, where necessary, to do something about elevating their brand visibility.
LLM Insights, announced this week and now in limited preview, sits within the company’s existing Sprinklr Insights platform. It tracks how a brand is represented across AI-driven queries on platforms including ChatGPT, Gemini, and Perplexity. LLM Insights encompasses visibility, sentiment, competitive positioning, and recommendations. It then connects those findings directly to content, knowledge, and engagement workflows so teams can act without leaving the platform.
Sprinklr’s highlighted impetus is a monitoring gap that has opened up as Gen AI has become a standard first stop for customers researching products and services. Visibility is no longer defined by rankings or clicks, but by how brands appear in AI-generated answers. Most brand monitoring tools were not built with that in mind.
Sprinklr’s pitch is that its prompt methodology gives it an edge over rivals. Rather than testing synthetic or keyword-derived queries, it generates prompts from real customer conversations already flowing through its platform. This spans social, reviews, communities, and care channels. The argument is that this produces a more accurate picture of what AI platforms are actually surfacing when real customers ask real questions.
The product will be generally available in Q3 2026.
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What Beta Users Found About Sprinklr’s New AI Capability
Early adopters trialling the capability this spring found that AI-generated answers were frequently misrepresenting their brands at decision-critical moments. Competitors were appearing more prominently. Products were being described as higher-cost alternatives. Inaccurate pricing information was being reinforced by third-party domains. Naturally, the brands had zero visibility over this beforehand.
Karthik Suri, Chief Product and Corporate Strategy Officer at Sprinklr, said:
“Customers increasingly move from a single prompt to a synthesised recommendation often without visiting brand websites or owned channels. Representation in these platforms is a critical driver of awareness and consideration.”
Using Sprinklr’s unified architecture, the vendor noted that those teams could trace which social and digital signals were feeding the distortions. This afforded them an earlier chance to respond before the inaccuracies became entrenched.
A New Category, and a Crowded One, in AI Brand Visibility
AI brand visibility is an emerging market with several players already staking out territory. Specialist tools such as Sight AI offer dedicated LLM visibility tracking with built-in content optimisation. Brandwatch has moved in a similar direction. For enterprise teams already invested in broader social listening infrastructure, the appeal of extending an existing platform to cover AI channels is the unified reporting it enables across traditional and newer sources.
That is precisely where Sprinklr is positioning LLM Insights. It’s pitched less as a new product to evaluate and more as a logical extension of infrastructure that many enterprise teams are already running.
“LLM Insights gives organisations the ability to understand that conversation, act on it, and be part of the answers that matter — all from the same unified platform they already use to monitor and manage their brand,” added Suri.
What This Means in Practice For CX Leaders Curious About Their Brand Visibility
For CX and marketing leaders, do you sincerely know what AI platforms are telling your customers about you? For most organisations, the honest answer is no. That gap tends to sit awkwardly across marketing, CX, and digital functions, with no obvious single owner.
That ownership question will matter internally, particularly as teams begin asking how AI search is affecting inbound volume and customer quality. A prospect who arrives having been told your product costs twice what it does is a harder conversation than one who never found you at all.
LLM Insights does not solve the ownership question. However, it does, at least, make the problem visible.
