Sprinklr Launches LLM Insights to Systematically Improve Brand AI Visibility

Sprinklr has launched LLM Insights in limited preview within its Sprinklr Insights platform.

LLM Insights allows organizations to track how they (and their competitors) appear in AI-powered answer engines, such as ChatGPT, Gemini, and Perplexity, for key buyer search terms.

Yet, it won’t only share insights into brand AI visibility; it will also spotlight opportunities to influence it and translate those opportunities into Action Plans.

These Action Plans inspire coordinated activities to positively reinforce the brand’s representation in AI search results.

Managing this representation is becoming increasingly critical. Bain & Company suggests that 80% of consumers rely on “zero-click” AI search results at least 40% of the time.

Such statistics underscore how brands that don’t show up in AI models will - ultimately - miss opportunities to grow revenue. 

Moreover, companies that fail to take this seriously will risk not only their competitors being more prominently surfaced but also their own brands being misrepresented, whether through inaccurate pricing information, outdated messaging, or other misleading information.

Karthik Suri, Chief Product and Corporate Strategy Officer at Sprinklr, reinforces this point: “Customers increasingly move from a single prompt to a synthesized recommendation often without visiting brand websites or owned channels. Representation in these platforms is a critical driver of awareness and consideration.”

“LLM Insights gives organizations 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."

Karthik Suri

Chief Product and Corporate Strategy Officer at Sprinklr

Over time, consumer reliance on AI-generated answers is likely to grow as more people use the native AI assistants on their smartphones to research brands.

Many consumers with Google Pixel devices already use Gemini for this purpose.

Soon, these personal assistants will start to act like machine customers, completing admin tasks and broader journeys on a customer’s behalf.

Yet, compared to typical customers, these will be less forgiving. If they hit a pain point in the journey, they may not hang about and try again. Instead, they may recommend an alternative brand experience. 

As these scenarios come into view, not only do the principles of customer experience design become much more important, but the ability to earn that recommendation also matters, further reinforcing the value of solutions like LLM Insights.

While HubSpot offers a similar AEO (Answer Engine Optimization) solution, Sprinklr is the first to bring such a capability to the Voice of the Customer (VoC) market, with it set for general availability in Q3.

How Exactly Does Sprinklr LLM Insights Work?

First, LLM Insights scours customer conversations across social channels, third-party review sites, online communities, and service interactions to uncover the questions real customers ask that influence buying decisions. 

It then tracks brand performance across AI engines for those queries and highlights the sources they trust, including industry publications, Reddit forums, review sites, and more.

Through Sprinklr Action Plans, brands can then extract actions to improve brand AI visibility from that data and assign them to employees across the business to review, complete, and monitor their impact. 

In the future, these tasks may pass over to AI agents built in the Sprinklr AI+ Studio, which can run them autonomously. That’s part of Sprinklr’s agentic VoC vision. 

While that’s further down the road, Sprinklr Insights customers will be able to get started with LLM Insights “in minutes” from Q3, monitoring the voice of AI alongside VOC data. 

More News From Sprinklr

In another boost for Sprinklr Insights, the company recently acquired ViralMoment, a software provider that specializes in video-first social listening. 

As Sprinklr brings this capability to its platform, it can unlock richer customer intelligence from the growing volume of video content shared on social media.

Elsewhere, the business recently secured the “largest software deal” in its history, with a global consumer electronics company adopting its “entire suite”. 

The breadth of this suite, which includes CCaaS, conversational AI, and MarTech solutions, is a key advantage in helping turn VoC insights into actions across customer-facing functions.

As Sprinklr CEO Rory Read stated during his company’s Q1 2027 earnings: “The opportunity long-term over the next two to three years is us becoming the enterprise platform for a unified customer experience. We do that; it’s a very powerful story.”