Tracking Trends Over Time
The Trends page shows how your AI visibility, sentiment, and competitive position have changed over time — helping you measure the impact of your brand and content efforts.
Overview
The Trends page answers the question: "Is my AI visibility improving?"
While the Dashboard and Analytics pages show your current snapshot, Trends charts how your key metrics have moved over time — so you can correlate changes with specific actions you've taken (content published, PR activity, product launches) and measure whether your efforts are working.
What Is Tracked
Visibility Score Over Time
A line chart of your average AI Visibility Score across all prompt runs, plotted by date. Each data point represents the average score across all engines on the day prompts were run.
How to read it:
- An upward trend means AI engines are increasingly mentioning your brand in relevant contexts
- A flat line may indicate your brand knowledge in AI engines has stabilised — or that you haven't been running prompts regularly
- A drop may follow negative press coverage or a period of low content activity
Sentiment Trend
A stacked or multi-line chart showing how the positive, neutral, and negative split of your prompt results has changed over time.
What to look for:
- Positive sentiment growing over time is a sign your brand narrative is improving in AI responses
- A sudden negative spike may correlate with a news event, review surge, or competitor campaign
Share of Voice Trend
Shows how your brand's share of AI mentions — relative to all tracked competitors — has moved over time.
- An increasing share means AI engines are referencing you more relative to competitors
- A declining share may mean competitors are gaining ground, even if your absolute mention count is stable
How Trend Data Is Built
Trend data is built from the history of prompt runs. Every time you run a prompt:
- The result is saved with a timestamp
- That result contributes to that day's aggregate score, sentiment, and visibility figures
- The Trends charts then plot those aggregates over time
This means the more consistently you run prompts, the more detailed your trend data will be. We recommend running your full prompt set at least weekly to build a meaningful trend history.
Getting the Most from Trends
Add date annotations (coming soon)
We're building the ability to add notes to specific dates — so you can mark when you published a major piece of content, launched a campaign, or made a product announcement. This makes it easy to see whether those actions moved the needle.
Compare before and after
Before you start a new content or PR initiative, note your current baseline scores. After running prompts a few weeks later, compare to see whether AI knowledge of your brand has changed.
Look for lag
AI engines update their knowledge on their own schedule. Don't expect immediate results from content changes — allow 2–6 weeks before assessing impact.
Improving Your Trends
If your scores are flat or declining, consider:
| Action | Likely impact |
|---|---|
| Publish long-form guides on category topics | Increases citations from knowledge-seeking queries |
| Get featured in industry publications | AI engines often cite authoritative third-party sources |
| Update existing content with fresh data | Signals recency to AI crawlers |
| Build links from sources that AI trusts | Sources cited in Perplexity results are particularly valuable |
| Expand your synonym list | Ensures AI mentions using alternative names are captured |