The Reports page under AI SEO → AI visibility → Reports provides detailed analytics broken down by metric type. While the dashboard gives you a high-level overview, reports let you dig into the specifics of how your brand and competitors are performing.
All reports are filterable by date range (last 7, 14, 30, or 90 days) and all tables are sortable by clicking any column header.
Share of voice
What it shows: The percentage of AI responses that mention each brand across all tracked prompts in the selected period.
Column | Description |
Brand | Brand name |
Share of voice | Percentage of AI responses that mention this brand |
Mentions | Number of AI responses that mentioned this brand |
Total results | Total number of AI responses analyzed |
How to use it:
Share of voice tells you how visible your brand is across AI responses. A 30% share of voice means your brand was mentioned in 30% of all AI responses generated from your prompts.
If your share is low, consider:
Adding more prompts that are closely related to your product category.
Improving your online content so AI models have more to reference.
Checking what competitors are doing that earns them more mentions.
Position analysis
What it shows: The first mention position for each brand when it appears in AI responses.
Column | Description |
Brand | Brand name |
Avg. position | Average first mention position across all responses where the brand was positioned |
Best position | The highest (best) position achieved |
Worst position | The lowest (worst) position achieved |
Positioned count | Number of responses where the brand appeared in a positioned list |
How to use it:
Position matters because users pay more attention to brands listed first. An average position of 2.0 means you're consistently near the top of AI recommendations.
Compare your average position against competitors. If a competitor consistently outranks you, investigate the prompts where this happens — do they have stronger brand recognition, better reviews, or more content in that product category?
Sentiment breakdown
What it shows: The tone of AI responses when mentioning each brand.
Column | Description |
Brand | Brand name |
Positive | Number of positive mentions |
Neutral | Number of neutral mentions |
Negative | Number of negative mentions |
Mixed | Number of mixed-sentiment mentions |
Total mentions | Total number of AI responses that mentioned this brand |
How to use it:
Sentiment reveals not just whether you're being mentioned, but how. A brand with high visibility but mostly negative sentiment has a different challenge than one with low visibility.
If you see negative sentiment:
Read the full AI responses on the prompt detail page to understand what's being said.
Review your product descriptions, customer reviews, and public content — AI models draw from these sources.
Address any legitimate issues with product quality, shipping, or customer service that may be influencing AI responses.
If competitors have more positive sentiment, study what they're doing differently. It could come down to stronger reviews, better product descriptions, or more positive press coverage.
Prominence scores
What it shows: How prominently each brand is featured when mentioned in AI responses, on a 1–10 scale. Higher is better.
Column | Description |
Brand | Brand name |
Avg. prominence | Average prominence score across mentions |
Max prominence | Highest prominence score achieved |
Min prominence | Lowest prominence score achieved |
How to use it:
Prominence measures how much of the AI response focuses on your brand. A score of 10 means your brand is the central topic of the answer. A score of 1 means you were only mentioned in passing.
High prominence is especially valuable because it means the AI is actively discussing your brand, not just listing it. If your prominence is low but your mentions are high, the AI knows your brand but doesn't have much to say about it — consider enriching your online content.
Mention context
What it shows: The context in which each brand is mentioned in AI responses.
Context type | What it means |
Recommendation | The AI is actively suggesting or endorsing the brand |
Comparison | The brand is mentioned alongside competitors for comparison |
Alternative | The brand is presented as an alternative option |
Warning | The brand is mentioned in a cautionary context |
Neutral mention | A factual or informational reference without strong positioning |
How to use it:
The ideal context is recommendation — it means the AI is directly suggesting your brand to users. If you're mostly showing up in comparisons or as an alternative, you may be seen as a secondary choice rather than a primary recommendation.
If your brand appears in a warning context, read the full responses to understand what's triggering it. It might be pricing concerns, product quality mentions, or outdated information that the AI has picked up.
Track the context distribution over time. A shift from "neutral mention" to "recommendation" is a strong positive signal.
New competitors
What it shows: Brands that appeared in AI responses but aren't in your tracked competitor list.
Column | Description |
Brand | The name detected in AI responses |
First seen | When this brand first appeared in your results |
Mentions | How many AI responses mentioned this brand |
Avg. prominence | Prominence score (1–10 scale). Note: newly discovered brands are not scored for prominence, so this will typically show 0 until you add them as a tracked competitor. |
How to use it:
This report helps you discover competitors you didn't know about. AI models may mention brands you wouldn't have thought to track — regional competitors, emerging brands, or adjacent products.
When you spot a relevant brand, click to add it as a tracked competitor. This takes you to the settings page with the competitor name pre-filled. Once added, future analyses will include full metrics for that brand.
Review this report regularly to keep your competitive landscape up to date.
Tips for using reports
Start with share of voice to understand the overall competitive landscape, then drill into specific metrics.
Cross-reference metrics. A brand with high share of voice but low prominence may be mentioned often but not in meaningful ways. A brand with low mentions but high prominence is well-regarded when it does appear.
Track changes over time by comparing different date ranges. Switch between 7-day and 30-day views to distinguish short-term fluctuations from longer trends.
Use the new competitors report monthly to catch emerging competitors early.
Related articles
Understanding AI visibility — Overview and metrics explained
Setting up your brand and competitors — Configure brands for accurate detection
Managing prompts — Create prompts that drive meaningful reports
Viewing prompt results — Drill into individual prompt responses