Trend Charts

Trend charts visualize how your AI visibility metrics change over time. Understanding these charts helps you identify patterns and measure the impact of your optimization efforts.

Accessing Trend Data

Trend charts appear on the Dashboard tab for Single Report purchasers (comparing to their free trial baseline) and active subscribers (comparing multiple runs over time). Free trial users see blurred trend data as a preview of what's available with an upgrade.

Chart Types

The main trend visualization uses line charts with run dates on the X-axis and metric values on the Y-axis. Each data point represents an individual run result, and multiple metrics can be displayed together for correlation analysis.

Sparklines—miniature charts in the run selector—provide quick performance snapshots. These condensed views of recent runs let you quickly identify trends without detailed analysis, with color coding showing green for improvement and red for decline.

Delta Indicators

Each KPI card shows week-over-week change through delta indicators. A green arrow pointing up indicates the metric improved since the last run, showing the percentage point change (for example, +5% for inclusion rate). A red arrow pointing down indicates decline. Gray indicates no change, suggesting either consistent performance or insufficient new data.

Interpreting Trends

Upward trends signal positive developments: increasing inclusion rate means more prompts mention your brand, improving position means you're moving up in recommendation lists, and growing share of voice indicates you're gaining market share versus competitors.

Downward trends warrant attention: decreasing inclusion rate suggests fewer mentions and potential need for content updates, worsening position may mean competitors are gaining ground, and declining share of voice indicates losing relative market share.

Stable trends show consistent metrics and steady performance, though flat lines may indicate a need for new strategies. Volatile trends with large swings suggest AI responses vary significantly, possibly indicating evolving AI model behavior—consider averaging observations over multiple runs for clearer insights.

Time Periods

Run-to-run comparison lets you see immediate changes between consecutive runs. Subscription auto-runs provide regular data points: Pro plans generate biweekly data points while Elite and Agency plans provide weekly data points. For longer-term analysis, select specific runs from history to compare distant time periods.

Best Practices

Your first run establishes baseline metrics that all future trends compare against. Allow time for changes to reflect in AI responses—SEO and content changes don't appear immediately, so wait for multiple runs before drawing conclusions and look for sustained trends rather than single-run changes.

Note when you make changes to your website or content strategy, then track which changes correlate with metric improvements. Document effective strategies for future optimization. Prioritize tracking the metrics most relevant to your goals: inclusion rate trends for brand awareness campaigns, position and share of voice trends for competitive positioning, and sentiment trends for reputation management.

Next Steps

Dive deeper into brand perception with Sentiment Analysis, compare your trends to competitors in Competitor Tracking, or take action to improve your metrics with Citation Targets.