Opening your Report
Updated
This article explains how to read and use AI Visibility Reports in Sprinklr. Each report tracks how your brand appears across AI answer engines like ChatGPT, Gemini, Perplexity, Google AI Overview, Grok, Microsoft Copilot, and others, and provides data to help you improve that visibility over time.
Accessing the Report
From the Record Manager, click View Report next to any generated report to access its detailed analysis view.
The report interface is organized into five analytical sections, available in the left navigation panel:
Visibility Analysis: Understand how frequently and where your brand appears across AI-generated responses.
Prompt Pillar Analysis: Valuate visibility and performance across different thematic categories or topics.
Sentiment Analysis: Assess how your brand is being described in AI responses.
Citation Analysis: Identify the sources and domains AI tools reference when generating responses.
AI Tool Analysis: Compare performance across different AI platforms.
All sections support filtering by dimensions such as date range, AI tool, brand, and more. Individual visualizations can be exported or pinned to Sprinklr dashboards, allowing you to combine insights with data from social listening, media monitoring, and sentiment programs.
Visibility Analysis
The Visibility Analysis section provides a high-level view of your brand’s presence across AI answer engines.
Key Metrics
The following KPIs are displayed at the top of the section:
Prompt Count: Total number of prompts included in the report.
Response Count: Total number of AI-generated responses across all prompts and tools.
My Brand Response Count: Number of responses that mention your brand.
Brand Visibility Score: Percentage share of AI visibility attributed to your brand.
Each KPI includes a comparison against the previous period to help you track performance trends.
Insights and Actions
Competitors’ Share of Voice in AI Responses: Compare how frequently your brand appears relative to competitors. Larger gaps highlight visibility opportunities.
Competitors’ Visibility Score Across AI Tools: Analyze platform-specific performance to identify where competitors are stronger or weaker.
Visibility Trend Over Time: Monitor how your brand and competitors perform over time to evaluate the impact of AEO (Answer Engine Optimization) efforts.
All Brands Discovered in AI Responses: Identify both tracked and untracked brands mentioned in AI responses. This can reveal emerging or previously unknown competitors.
Prompt-Level Visibility by Competitors: Review brand mentions across individual prompts to identify specific areas where your brand is underrepresented.
Low-Performing Prompt Analysis: Identify prompts where your brand has zero visibility. These represent targeted opportunities for content, PR, or partnership strategies.
Prompt Pillar Analysis
The Prompt Pillar Analysis section highlights how your brand performs across different thematic areas. It provides visibility and sentiment insights for both your brand and competitors.
Insights and Actions
Identify pillars where your brand has low visibility or negative sentiment.
Analyze the sources AI tools cite for these pillars—typically competitor content or third-party platforms.
Use these insights to replicate, enhance, or differentiate your content strategy in those areas.
Sentiment Analysis
The Sentiment Analysis section evaluates how your brand is perceived in AI-generated responses.
Key Metrics
In addition to Prompt Count, Response Count, and My Brand Response Count, this section includes:
My Brand Sentiment Score: An aggregated sentiment score on a scale of 0 to 100
Insights and Actions
Negative sentiment in AI responses is often driven by third-party sources, such as reviews, news articles, or unresolved customer issues.
To improve sentiment:
Cross-reference low sentiment scores with the Citation Analysis section.
Identify the sources contributing to negative perception.
Prioritize actions such as content updates, reputation management, or additional positive coverage.
Citation Analysis
The Citation Analysis section shows the external sources AI tools reference when generating responses in your category. These sources directly influence how your brand is represented.
Key Metrics
Prompt Count
Response Count
My Brand Response Count
Citation Count which indicates the total number of source citations across responses
Insights and Actions
Key strategies derived from citation insights include:
Expand presence on high-impact third-party domains: Engage with or secure coverage on frequently cited platforms where your brand is not currently mentioned.
Strengthen your most-cited owned content: Maintain accuracy, freshness, and authority of pages already cited by AI tools.
Leverage community-driven platforms: Platforms such as Reddit, Quora, and YouTube are frequently cited and can significantly influence AI visibility through consistent, high-quality engagement.
AI Tool Analysis
The AI Tool Analysis section enables platform-level comparison, helping you understand how your brand performs across different AI tools.
For each supported AI tool (such as ChatGPT, Gemini, Perplexity, Google AI Overview, Grok, and Microsoft Copilot), the following views are available:
Visibility Score: Frequency of brand mentions in responses.
Sentiment Score: Overall tone of responses referencing your brand.
Citation Domain: Most commonly cited sources used by the platform.
Insights and Actions
Prioritize high-impact platforms: Prioritize high-impact platforms If ChatGPT is the dominant AI tool for your audience but your visibility there is weak, that gap is higher priority than weak visibility on a less-used platform.
Identify inconsistencies across tools: Diagnose inconsistencies If your brand sentiment differs significantly between platforms (for example, +80 on Perplexity and +50 on Grok), review Citation Analysis for the lower-performing platform. The sources it references likely explain the difference.