Opening your Report
Updated
From the Record Manager, click View Report next to a generated report. You'll land on the report's main analysis view, with five sections available in the left navigation:
Visibility Analysis: How often and where your brand shows up
Prompt Pillar Analysis: How visibility breaks down by theme
Sentiment Analysis: How your brand is being talked about
Citation Analysis: Which sources AI tools are pulling from
AI Tool Analysis: How performance differs across platforms
Each section can be filtered by date range, AI tool, brand, and other dimensions. Individual charts can be exported or pinned to broader Sprinklr dashboards alongside data from social listening, media monitoring, or sentiment programs.
1. Visibility Analysis
The Visibility Analysis section is your top-level read on how present your brand is across AI answer engines.
Key metrics
Four KPIs sit at the top of the section:
Prompt Count: Total prompts in the report.
Response Count: Total AI responses received across all prompts and tools.
My Brand Response Count: How many of those responses mentioned your brand.
Brand Visibility Score: Your overall share of AI visibility, expressed as a percentage.
Each KPI also shows change versus the previous period, so you can immediately see whether you're trending up or down.
What to look at
Competitors' Share of Voice in AI Responses gives you a direct comparison of how often each tracked brand appears. If a competitor's bar is significantly longer than yours, you have a visibility gap to close.
Competitors' Visibility Score Across AI Tools breaks that same comparison down by platform. A competitor may dominate ChatGPT but be weak on Perplexity understanding where your gaps are platform-specific helps you prioritize action.
My Brand & Competitor Brand's Visibility Trend plots visibility over time. This is how you measure whether your AEO efforts are actually moving the needle.
All Brands Discovered in AI Responses lists every brand that appeared in AI responses, including ones you didn't explicitly track. This often surfaces unexpected competitors brands you didn't realize you were being compared to. Pay attention to high-ranking brands you haven't seen in your competitive set before; they may belong in your next report.
Prompt-Level Visibility by Competitors is a prompt-by-prompt table showing which competitors were mentioned in each AI response. Use this to pinpoint the specific questions where you're losing.
Low-Performing Prompt Analysis is the most actionable view in the entire report. It lists prompts where your brand had zero visibility, grouped by pillar. Each zero-visibility prompt is an explicit content, PR, or partnership opportunity these are the exact questions where AI tools are not surfacing your brand at all today.
2. Prompt Pillar Analysis
Where Visibility Analysis tells you how much you're showing up, Prompt Pillar Analysis tells you where which themes you own, which you're losing, and how sentiment varies by topic. The section is split into two views: one for competitors, one for your own brand.
How to use this section
For each pillar where you have weak visibility or negative sentiment, identify which pages AI tools are currently citing instead. Those pages usually competitors' content or third-party reviews show you what type of content AI engines reward in that theme. Replicate or improve on it.
3. Sentiment Analysis
Sentiment Analysis answers the question: When AI tools mention my brand, what are they actually saying?
Key metrics
Alongside Prompt Count, Response Count, and My Brand Response Count, the headline metric here is your My Brand Sentiment Score your aggregate sentiment on a 0–100 scale.
How to use this section
Negative sentiment in AI responses is usually grounded in negative third-party content bad reviews, critical news articles, or unresolved customer complaints surfacing in AI training data and retrieval. Cross-reference your weakest sentiment scores with the Citation Analysis section to identify which sources are driving the perception, then prioritize those for response, correction, or supplementary positive coverage.
4. Citation Analysis
Citation Analysis shows you the websites and pages AI tools are pulling from when they answer questions about your category. These are the sources shaping AI perceptions of your brand and the assets where AEO investment pays off.
Key metrics
The KPI bar here shows Prompt Count, Response Count, My Brand Response Count, and the total Citation Count across all responses.
How to use this section
Three actions usually fall out of Citation Analysis:
Earn placement on high-citation third-party domains. If a domain is consistently cited in your category and does not mention your brand, that's a direct outreach or partnership opportunity.
Strengthen your own most-cited pages. Pages of yours that are already cited are your strongest AEO assets. Keep them current, accurate, and authoritative — losing a citation is harder to recover than earning one in the first place.
Invest in community platforms. Reddit, Quora, and YouTube are heavily cited across AI tools. A genuine, helpful presence on these platforms often translates directly to AI visibility even when your own website isn't cited.
5. AI Tool Analysis
Different AI tools behave differently. Some favor specific sources, some surface different brands for the same question, and some weight sentiment differently. AI Tool Analysis breaks every metric down by platform so you can manage each as its own visibility channel.
For each AI tool tracked (ChatGPT, Gemini, Perplexity, Google AI Overview, Grok, Microsoft Copilot, and others), you'll see three views:
Visibility Score: How many responses from this tool mentioned each brand.
Sentiment Score: How positively this tool describes each brand.
Citation Domain: The top domains this tool cites in its responses.
How to use this section
Use this section to prioritize where to focus. If ChatGPT is the dominant AI tool for your audience but your visibility there is weak, that's a higher-priority gap than weak visibility on a less-used platform.
It's also useful for diagnosing inconsistencies. If your brand sentiment is +80 on Perplexity and +50 on Grok, dig into Citation Analysis for Grok the sources it's pulling from likely explain the difference.