Analytics & Trends
Track your brand's AI visibility over time with charts, comparisons, and performance breakdowns.
Overview
The Analytics and Trends pages transform your snapshot data into visual insights. While individual snapshots tell you what happened in a single moment, Analytics and Trends show you how your AI visibility is changing over days, weeks, and months.
AEO Optima provides two complementary views: the Analytics page for detailed breakdowns and the Trends page for high-level performance tracking.
Analytics Page
The Analytics page provides three primary visualizations that help you understand the shape of your AI visibility data.
Visibility Trend
A line chart that plots your brand visibility percentage over time. Each data point represents the percentage of snapshots that mentioned your brand on a given day.
Use this chart to:
- Identify upward or downward trends in brand mention frequency.
- Spot sudden drops that may indicate changes in AI model behavior.
- Correlate visibility changes with your content publishing or SEO activity.
LLM Comparison
A bar chart that compares your visibility across different AI models. Each bar represents a different model (such as ChatGPT, Claude, Gemini, or Perplexity), showing the percentage of snapshots from that model that mentioned your brand.
Use this chart to:
- Identify which AI engines mention your brand most and least frequently.
- Prioritize optimization efforts toward models where visibility is lowest.
- Understand model-specific differences in how your brand is represented.
Sentiment Distribution
A pie chart showing the breakdown of sentiment across all analyzed snapshots — positive, neutral, and negative.
Use this chart to:
- Get a quick read on overall AI perception of your brand.
- Track whether the sentiment balance is shifting over time.
- Identify when negative sentiment spikes and investigate the cause.
Intelligence Scores
The Analytics page surfaces six proprietary Intelligence Scores — composite metrics that distill your snapshot data into actionable numbers. Each score is displayed as a KPI card with a 0-100 value and trend indicator.
| Score | Full Name | What It Measures |
|---|---|---|
| BNCI | Brand Narrative Control Index | How consistently AI engines convey your intended brand narrative |
| CMCS | Cross-Model Consistency Score | Whether different AI models describe your brand the same way |
| MEI | Model Equity Index | Your brand's relative strength across the AI model ecosystem |
| SDI | Sentiment Drift Index | How stable or volatile AI sentiment toward your brand is over time |
| CIPS | Competitive Intelligence Positioning Score | Your brand's positioning relative to competitors in AI responses |
| ETAS | Entity Trust & Authority Score | How much trust and authority AI models attribute to your brand as a knowledge entity |
These scores update automatically as new snapshots are captured. Together, they provide a comprehensive view of your AI brand health that goes beyond simple visibility percentages.
Tip: Use CMCS to identify models that describe your brand inconsistently, then investigate the specific prompts where discrepancies appear. A low CMCS often indicates opportunities to improve your content for specific AI engines.
For a deep dive into each score's methodology and how to improve them, see the dedicated Intelligence Scores page.
Trends Page
The Trends page takes a higher-level view, designed for quick weekly reviews and executive-level reporting.
KPI Cards
Four key performance indicators are displayed at the top of the page:
| KPI | Description |
|---|---|
| Total Snapshots | The total number of snapshots captured within the selected date range |
| Avg Visibility | The average brand visibility percentage across all snapshots in the range |
| Avg Rank | The average rank position where your brand appeared in ordered lists |
| Trend Direction | An indicator showing whether visibility is trending up, down, or stable compared to the prior period |
Visibility Area Chart
A filled area chart showing brand visibility over the selected time range. The area fill makes it easy to see the overall trajectory at a glance, while the line edge shows daily fluctuations.
LLM Performance Bars
Similar to the Analytics page's LLM Comparison, this visualization shows per-model performance as horizontal bars. The Trends page version is optimized for quick scanning and comparison.
Top 5 and Bottom 5 Prompts
Two ranked lists that highlight your best-performing and worst-performing prompts within the selected date range:
- Top 5 Prompts: The prompts with the highest brand visibility. These represent your strongest areas of AI presence.
- Bottom 5 Prompts: The prompts with the lowest brand visibility. These represent your biggest opportunities for improvement.
Tip: Check the Bottom 5 Prompts list weekly. These are your biggest improvement opportunities. Focus your content strategy on the topics where AI models are not yet mentioning your brand.
Segment Filter
Both the Analytics and Trends pages include a Segment Toggle that lets you filter all data by prompt type:
| Segment | What It Shows |
|---|---|
| All | Data from all prompts (default, same as before) |
| Branded | Only prompts that mention your brand name |
| Non-Branded | Only organic discovery prompts (no brand or competitor mentions) |
| Competitor | Only prompts that compare your brand to competitors |
The Non-Branded view is particularly valuable because it shows your true organic AI visibility — how often AI models recommend you when users aren't specifically asking about you. The Competitor view reveals how you perform in direct comparison queries.
The segment toggle is URL-synced (?segment=branded), so filtered views are bookmarkable and can be shared with team members.
Tip: Compare your Branded visibility (should be high) against your Non-Branded visibility (the real signal). A large gap means AI models know your brand but don't organically recommend it — this is your biggest opportunity for improvement.
Date Range Filters
Both the Analytics and Trends pages support date range filtering to focus your analysis on the time period that matters most.
| Range | Best For |
|---|---|
| 7 days | Daily monitoring and spotting recent changes. Ideal for checking the impact of content published this week. |
| 30 days | Weekly and monthly reviews. Provides enough data to see meaningful trends without noise. |
| 90 days | Quarterly analysis and strategic planning. Shows long-term trajectory and seasonal patterns. |
Select a date range using the filter controls at the top of either page. All charts and KPIs update immediately to reflect the selected period.
How to Use Analytics Effectively
Weekly Review Workflow
- Open the Trends page with a 7-day filter.
- Check the Trend Direction KPI — is visibility moving up or down?
- Review the Bottom 5 Prompts — are there any new entries since last week?
- Switch to the Analytics page for deeper investigation if you see unexpected changes.
Monthly Review Workflow
- Open the Trends page with a 30-day filter.
- Compare Avg Visibility and Avg Rank to the prior month's values.
- Check the LLM Performance Bars — has any model's behavior changed significantly?
- Review the Sentiment Distribution on the Analytics page — is the positive/negative balance stable?
After a Content Campaign
- Set the date range to cover the period before and after your content was published.
- Watch the Visibility Trend line chart for inflection points.
- Check the LLM Comparison to see if the new content improved visibility across all models or just specific ones.
Analytics and Other Features
| Feature | Connection to Analytics |
|---|---|
| Dashboard | Dashboard metrics are a real-time summary; Analytics provides the historical detail |
| Snapshots | Every data point in Analytics comes from an individual snapshot |
| Sentiment Analysis | The Sentiment Distribution chart connects to the deeper sentiment breakdowns |
| Prompts | Top 5 and Bottom 5 lists link directly to prompt performance |
| Intelligence Scores | The six KPI cards on Analytics are summarized here; the dedicated page provides methodology and improvement guidance |