AI Topics is an advanced, AI-powered relevance filtering capability designed to significantly improve the accuracy and efficiency of Sprinklr Insights. Built on top of the existing Topic framework, it introduces a new Topic Understanding module that leverages sophisticated natural language processing to interpret the intent behind your boolean search queries.

With this enhancement, mentions captured through traditional keyword matching are further evaluated by AI to determine whether they are contextually relevant. The system classifies each mention as Relevant or Irrelevant, helping eliminate noise and ensuring that you focus only on the conversations that truly matter for your brand.

AI Topics is seamlessly integrated into the current Topic Builder experience, requiring no major workflow changes. It delivers immediate improvements in data quality, enabling more accurate insights, cleaner datasets, and more meaningful monitoring of brand and customer conversations.

Business Use Cases

• Reduce Irrelevant Mentions at Scale: Traditional keyword matching pulls in 40–50% irrelevant data from millions of social media posts. AI Topics applies contextual understanding to automatically filter out noise, ensuring only meaningful brand conversations are retained.

• Accelerate Analysis by Minimizing Manual Effort: Analysts no longer need to spend hours manually sifting through irrelevant mentions or rewriting Boolean queries. AI-driven relevance classification dramatically cuts review time and speeds up insight generation.

• Improve Accuracy of Sentiment, Trends & KPIs: Noisy datasets distort sentiment, share‑of‑voice, and trend analysis. By delivering cleaner, contextually relevant data, AI Topics enhances the accuracy of dashboards, alerts, and performance reports.

• Strengthen User Trust & Platform Adoption: Cleaner insights build confidence among stakeholders. With reduced noise and more reliable outputs, teams trust the platform more, improving adoption, reducing churn, and keeping pace with competitors investing in AI filtering.

AI Topics delivers measurable value by intelligently reducing noise in social listening data, cutting irrelevant mentions from nearly 50% to under 10%, and eliminating manual filtering through automated relevance classification. Analysts gain near real‑time contextual understanding, supported by 90% classification accuracy that significantly improves sentiment reliability and overall data quality. These enhancements drive strong business outcomes, including higher platform trust, greater user engagement, faster time‑to‑insight, and improved report quality, while also creating potential upsell opportunities when offered as part of a broader AI solution package.

Setting Up AI Topics

The steps to setup AI Topics is enlisted below:

1. Navigate to Sprinklr Insights and then go to Topics (under Listen).

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2. Go to + Add Topic.

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3. Go to Create Topic section and fill in the details. You can refer to this article for more details.

4. Select Topic Type as Query Based Listenig and click Next.

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5. Under Setup Query section you can select Advanced and start typing the query.

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6. Navigate to the Topic Understanding section and then click Generate Understanding. ​

   The working of AI Topics is explained below.

   1. AI interprets your query and generates a first draft: AI Topics begins by analyzing your query to understand its true intent. It then produces a first draft containing tailored inclusion and exclusion guidelines.

      These guidelines explain what types of mentions you want to capture, and what you want filtered out.

   2. You review and refine the guidelines: The first draft is just a starting point.

      You can:

      1. Save the Topic immediately if you're satisfied, or Review and edit the guidelines to provide more clarity.

      2. If you feel the system needs additional direction, you can add or remove guidelines.

         These instructions act as a prompt, and the quality of this prompt helps AI Topics understand your intent more precisely.

   3. AI converts your guidelines into a filtering prompt: Once you finalize the guidelines, AI Topics turns them into a prompt that is applied to every incoming message.

      This allows the system to consistently:

      1. Analyze each mention

      2. Understand its context

      3. Mark it as Relevant or Irrelevant based on your intent.

         This ensures that only the most meaningful conversations are surfaced.

   4. You can edit the rules anytime: If you ever want to adjust your Topic, you can simply click the Edit button to reopen the same set of inclusion and exclusion guidelines, where you can add, remove, or modify anything as needed. And even if you don’t make changes right away, you always have the flexibility to return later and refine your Topic as your requirements evolve.

7. Click Save and then the Topic will be saved as an AI Topic. And when you visualize this AI Topic on your dashboard, you’ll only see the relevant mentions, the ones the AI has evaluated and marked as relevant based on your prompt. All irrelevant mentions are automatically filtered out, ensuring your dashboard reflects only the insights that truly matter.