AI Conversation Citation Rate Analysis

The Citation Rate Chart tracks how often AI platforms mention a brand in their responses over time—showing whether AI visibility is improving, declining, or holding steady.


Quick start

1.    Select a project from the project menu

2.    Set the date range to 30 Days

3.    Review each platform line to see citation rates

4.    Compare platforms to identify gaps

5.    Click AI Analysis for recommendations


Understanding the display

The chart plots citation rate as a percentage (0–100%) on the vertical axis against dates on the horizontal axis. Each line represents a different AI platform. A rate of 100% means the brand appeared in every AI response checked that day; 0% means it appeared in none.


What the lines show

Element Meaning
Each coloured line A different AI platform
Higher position on chart More frequent citations that day
Gap in a line No data collected for that platform on that date
Upward trend Citations improving over the period
Downward trend Citations declining over the period

Platforms tracked

Platform Description
ChatGPT Standard ChatGPT responses
ChatGPT Web ChatGPT responses using web browsing
Claude Anthropic's Claude responses
Gemini Standard Gemini responses
Gemini Web Gemini responses using web browsing
Perplexity Standard Perplexity responses
Perplexity Web Perplexity responses using web browsing

What should I do next?

Use this table to decide where to focus based on what the chart shows.


Scenario Action
Strong citation rate across all platforms Maintain current content strategy. Monitor for drops.
High on one platform, low on others Optimise content for underperforming platforms. Check phase filters.
Declining trend across platforms Review recent content changes. Run AI Analysis.
All platforms near 0% Audit content for AI readability. Check brand name configuration.
Irregular spikes or drops on a specific date Add an annotation to mark the date. Investigate content or platform changes.
Lines showing frequent gaps Check check-frequency settings. Gaps indicate days without data collection.

Using the filters

Date range

Option Best for
7 Days Recent changes
30 Days Trend analysis (default)
90 Days Broader patterns
180 Days Long-term trends
Custom Specific period comparison

Configuration

A configuration represents a buyer persona or scenario used to query AI platforms. Selecting a specific configuration focuses the chart on how that persona's queries drive citations. Leave set to All to see aggregated data across all configurations.


Platform

Filter to a single AI platform to isolate its trend. Leave set to All to compare citation rates across every tracked platform simultaneously.


Phase

Phases represent stages of the buyer journey. Filtering by phase shows citation rates for queries at that specific stage.


Phase Query type
Awareness Discovery and informational queries
Consideration Comparison and evaluation queries
Decision Purchase and conversion queries

Interactive features

•       Hover over any point to see the exact date, platform name, and citation rate

•       Click legend items to show or hide individual platform lines—useful for isolating specific platforms

•       Export via the menu icon (⋮) to download as PNG, JPEG, or SVG


Annotations

Annotations mark significant dates on the chart—useful for correlating citation changes with content updates, campaigns, or external events. They appear as dashed vertical lines with labels.


Adding an annotation

6.    Click anywhere on the chart plot area

7.    Enter a label in the popover that appears

8.    Press Enter or click Save


Deleting an annotation

9.    Click the annotation label displayed on the chart

10. Confirm deletion when prompted


Troubleshooting

No data showing

The selected filters may be too restrictive, or no AI visibility data exists for the selected project and period.

•       Widen the date range

•       Set Platform to All

•       Verify the project has AI visibility data configured


Lines showing gaps

Gaps indicate days where no AI platform checks ran. This is normal for newer configurations or lower-frequency check schedules. The line resumes when checks restart.


Citation rate always at 0%

The brand name in the configuration may not match how AI platforms reference it. Check brand settings within the project configuration. A mismatch means citations go unrecorded.


Chart not loading

•       Confirm a project is selected from the project menu

•       Refresh the page and reselect the project

•       If the issue persists, contact support


Annotation not saving

•       Ensure the label field is not blank before saving

•       Click directly on the chart area—not on a legend or axis label


FAQ

What counts as a citation?

A citation is recorded when an AI platform response includes a reference to the configured brand. Each query run is either cited or not—the citation rate shows the proportion of cited runs on a given day.


Why do rates differ between platforms?

Each AI platform has different training data, retrieval methods, and response styles. Variation across platforms is expected and reflects genuine differences in how each platform surfaces brands.


Can multiple brands be compared at once?

The chart reflects all brands configured in the project settings. Where multiple brands are configured, their data is included and each platform line represents citations across all of them.


Why does the line stop before today?

AI platform checks run on a schedule. If today's checks have not yet completed, data stops at the last completed date. The line resumes once checks for the current day finish.


How often does data update?

Data updates as AI platform checks complete. Frequency depends on project configuration. Most projects run checks daily.


Getting help

11. Check the phase and configuration filters—narrowing scope often clarifies the data

12. Add annotations to correlate changes with known events

13. Contact support for persistent data or configuration issues


Wheremore | click to conversion. Developed by Tigerlily Group. Wheremore connects search performance, content engagement, user behaviour, and conversion data to show exactly where you lose prospects — and how to win them back.

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