TL;DR — Trend lines tell you whether your GEO efforts are actually working or if you are coasting on a one-time spike. Go to Overview > Performance, set the Period selector to 30d/60d/90d, and read the evolution charts for Brand Mention Visibility and Source Citation Visibility to spot inflection points. Then open the Overview > GEO Matrix and check the per-cell sparklines to find topic-by-provider changes hidden inside a flat aggregate trend. Pro tip: use 30d as your minimum reliable window before making strategic decisions — 7d data is too volatile to act on.
The Question
“How has my brand’s AI visibility changed over the last 30, 60, or 90 days?”A snapshot of current visibility tells you where you stand. A trend tells you whether you are moving in the right direction — and how fast. Changes in AI visibility can reflect content you published, press coverage, competitor moves, or changes in how a provider’s underlying model was updated. This page shows you how to read those trends in Qwairy and turn them into decisions. You might also be wondering:
- “Did the content I published last month improve my AI visibility?”
- “My visibility dropped last week — what happened?”
- “How do I show stakeholders that our GEO work is paying off?”
Where to Go in Qwairy
Start here: Overview > Performance (evolution charts)
Navigate to Overview > Performance and scroll to the evolution section below the headline cards.
Each metric — Brand Mention Visibility, Source Citation Visibility, Average Sentiment — displays as a time-series chart.
Use the Period selector (7d, 30d, 60d, 90d) in the top-right of the page to set your analysis window. Switch between periods to understand both short-term spikes and longer structural trends.
Go deeper: Overview > GEO Matrix (sparklines)
Navigate to Overview > GEO Matrix.
Each cell in the matrix contains a small sparkline showing how visibility has changed for that specific topic × provider combination over the selected period.
This is where you catch narrowly scoped changes: a topic that improved only on Perplexity, or a provider that dropped only for one topic tag.
Use the Topic/Tag filter to zoom into an area you recently invested in, and check whether the sparklines are trending up.
Complete the picture: Exports + Shared Views
Export a performance data CSV via Workspace > Exports with date ranges set to the periods you want to compare — use this to build before/after tables in slides or to feed a Looker Studio report.
Create a Shared View via Workspace > Shares with the period filter locked to your reporting window, so stakeholders always see the same snapshot you are presenting.
What to Look For
Evolution Charts — Performance Dashboard
The evolution charts are your primary trend surface. The key reading task is to identify inflection points: moments where the line changes slope meaningfully.| Element | What it tells you |
|---|---|
| Upward slope | Visibility is growing — correlate with content published, backlinks earned, or press coverage |
| Flat line | Steady-state — not declining, but also not benefiting from recent activity |
| Downward slope | Visibility is eroding — check competitor activity and provider model updates |
| Spike then revert | Temporary boost, likely from a news event; does not indicate structural improvement |
| Step change up | Structural improvement — usually from a high-authority source citation earned |
GEO Matrix Sparklines — Topic × Provider Trend
The sparklines expose the heterogeneity hidden in the aggregate evolution chart. Your overall Brand Mention Visibility may be flat while individual topic × provider cells are moving in opposite directions.Pro Tip: If your overall trend is flat but you recently published content on a specific topic, filter the GEO Matrix to that topic tag and check the sparklines. You may find a topic-level improvement that the aggregate line masks.
Filters That Help
| Filter | How to use it for this question |
|---|---|
| Period (7d) | Use to spot very recent changes after a content publish or press event |
| Period (30d / 60d) | Standard reporting window — balances recency with statistical stability |
| Period (90d) | Use when presenting quarterly results or comparing to a campaign that started 3 months ago |
| Topic / Tag | Isolate trend analysis to the topics where you recently invested content or backlinks |
| Provider | Check if a trend is provider-wide or isolated to one platform — isolating providers helps attribute changes |
How to Interpret the Results
Good result
A consistently upward or step-wise improving Brand Mention Visibility over the 90-day window, with at least one inflection point you can correlate with a specific action (article published, link earned, PR hit). Source Citation Visibility also increasing — not just brand mentions but actual authority signals.Needs attention
A flat or declining trend over 60+ days despite content activity. This means your content is not being picked up by the sources AI models trust, or a competitor has made moves that are displacing your brand in provider responses. Cross-reference with Overview > Compare > By Provider to check whether the decline correlates with a competitor’s rise.Example
Scenario: Your content team published four GEO-optimized articles in January targeting “HR software” queries. It is now mid-February and you need to report on whether the articles moved the needle.
- Open Overview > Performance and set the period to 60d. Compare the Brand Mention Visibility evolution line: it sits at 18% at the start of January and has climbed to 29% by mid-February. The upward slope started around January 12 — two weeks after the first article went live.
- Navigate to Overview > GEO Matrix, filter to the “HR software” topic tag, and set period to 30d. The sparklines for Perplexity and AI Overview in the “HR software” row both trend upward. GPT-4o sparkline is still flat.
- Export the performance data CSV for the period November 1 – February 15, broken down by topic and provider. In a spreadsheet, calculate the week-over-week delta and show the January inflection point clearly in your slides.
- Create a Shared View with period locked to 60d and the HR software tag filtered, and send it to the CMO so they always see the most current version of the same view.
Go Further
Export evolution data with date range
Export visibility trend data with custom date ranges as CSV or XLSX for reporting
Build a trend dashboard
Connect the performance-overview data source to build historical trend dashboards in Looker Studio
Share the trend view with your CMO
Create a shared link with locked period filters so your CMO sees exactly the trend view you intended