LLM Insights helps you understand how your brand appears across AI answer engines by combining prompt generation, AI response analysis, visibility reporting, and actionable insights in a single workspace. You can use the Prompts, Analytics, Insights, and Settings sections to manage the questions being analyzed, review performance across AI platforms, uncover visibility and sentiment gaps, and control how each report is configured and governed.

After you create an LLM Insights report, you can use the report workspace to review the prompts behind your analysis, monitor brand performance across AI platforms, explore generated insights, and manage report-level configuration. These sections help you move from setup to analysis, so you can understand how your brand is represented in AI-generated responses and identify opportunities to improve visibility, sentiment, and discoverability.

This article explains that LLM Insights analyzes prompts across LLM platforms to generate insights around brand visibility, sentiment, citations, and representation.

Prompts

Use the Prompts section to review and manage the questions that are sent to selected AI tools for analysis. Prompts are grouped under prompt pillars, which represent the key themes or topics relevant to your brand, category, or business objective. These prompts help LLM Insights evaluate whether your brand is mentioned, how it is described, which competitors appear in the same responses, and which sources are cited by AI platforms. Prompt pillars organize the report by themes, while prompts represent the actual questions sent to AI tools to test brand mentions, descriptions, and cited sources. Prompt pillars organize the report by themes, while prompts represent the actual questions sent to AI tools to test brand mentions, descriptions, and cited sources. WIth prompts you can:

• Review AI-generated prompts grouped under relevant prompt pillars.

• Edit system-generated prompts to better align with your business objectives and reporting needs.

• Create custom prompts to analyze specific products, themes, campaigns, or business scenarios.

• Pause prompts to halt execution in upcoming refresh cycles, and they can be resumed at any moment. Historical data remains available, allowing you to optimize prompt usage, reduce unnecessary consumption, and refine reports without losing past insights.

• Delete prompts that are not relevant to your analysis. Deleted prompts are permanently removed from future analysis

• View source icons for system-generated prompts to understand the data sources used in prompt generation.

• Review sample mentions associated with each prompt for additional context and validation.

Analytics

Use the Analytics section to measure how your brand performs across AI-generated responses. This section helps you evaluate brand visibility, sentiment, citations, AI tool performance, and competitor presence in a structured reporting view. You can use these analytics to identify where your brand is being surfaced, where competitors are gaining visibility, and where content or positioning improvements may be needed. LLM Insights reports include Brand Visibility and Sentiment, Citations and Domains, Trending Topics, Responses by AI Tools, and Brand Detection. With the Analytics section you can:

• Measure how often your brand appears in AI-generated responses across supported AI platforms.

• Identify which AI tools mention your brand most frequently and compare visibility across platforms.

• Analyze brand sentiment and understand how your brand is represented in AI-generated responses.

• Discover which domains and sources influence AI-generated answers through Citation Analysis.

• Evaluate visibility and sentiment performance across key themes using Prompt Pillar Analysis.

• Compare your brand's AI visibility against competitors and identify visibility gaps.

• Access dedicated analysis views for Visibility Analysis, Prompt Pillar Analysis, Sentiment Analysis, Citation Analysis, and AI Tool Analysis.

• Apply filters across date range, AI tools, brands, and other dimensions to explore insights in greater detail.

• Export charts or pin them to Sprinklr dashboards for broader reporting and monitoring.

Insights

Use the Insights section to interpret what the report findings mean for your brand. This section helps you move beyond raw metrics by surfacing visibility gaps, sentiment patterns, citation opportunities, trending topics, and areas where competitors may be appearing more frequently in AI-generated responses. The insights section describes as a way to understand where your brand stands, where the gaps are, and what actions can be taken based on the analysis. With Insights, you can:

• Identify prompts where your brand has low or zero visibility.

• Discover themes with weak visibility or negative sentiment.

• Understand how AI platforms perceive and describe your brand.

• Identify the domains and sources influencing AI-generated responses.

• Uncover content, citation, and competitive opportunities to improve visibility.

• Prioritize content, PR, and AEO/GEO optimization efforts based on actionable insights.

Settings

Use the Settings section to review and manage the configuration that controls how your LLM Insights report runs. Depending on your report setup, this may include the selected use case, brand, competitor brands, additional context, selected AI tools, refresh frequency, and end date. These settings define the scope of the analysis and directly influence the prompts generated, the AI platforms monitored, and the report output. Report configuration defines the brand, competitor brands, additional context, AI tools, refresh frequency, and end date. With setting section you can:

• Review the original report configuration, including brands, AI tools, prompt pillars, and prompts.

• Enable or disable reports to manage prompt consumption and active reporting.

• Manage report permissions to control access for specific users and teams.

• Review scheduled report runs, generation history, and run status.

• Delete reports that are no longer required.

• Add Brand Alias management to manually merge brand variations, abbreviations, and product names into a single canonical brand, ensuring accurate and consolidated visibility, sentiment, and competitive analysis across LLM Insights reports.