What it is
The Search Terms table is the operational control center of AI Visibility.
It shows:
All configured search terms
Their AI engine configurations
Visibility performance
Execution status
Competitive preview metrics
Each row represents a unique tracked configuration (prompt + engine + region + frequency).
Why it matters
AI Visibility is configuration-based and engine-specific.
Understanding the Search Terms table allows you to:
Monitor performance quickly
Identify high- and low-performing prompts
Compare engines
Review tracking health
Access detailed insights
Manage terms efficiently
Without understanding this table, visibility metrics can be misinterpreted.
Grouping & table controls
You can group search terms by:
Search term
Topic
AI engine
Data source
Region
Status
Tracking interval
Groups can be expanded or collapsed for easier navigation.
Grouping allows you to:
Compare engines side-by-side
Segment by topic
Audit tracking status
Review regional differences
Search terms table columns explained
Below is a breakdown of the main columns visible in the collapsed row view.
Column | Description |
Term | The exact prompt sent to the AI engine. Each engine configuration appears as its own tracked entry. |
Topic | The strategic category assigned to the term. Used for dashboard filtering and topic-level reporting. |
AI Engine | The AI model executing the prompt (e.g., ChatGPT, Gemini, Perplexity). Each engine is tracked independently. |
Region | The geographic context used for the execution (where supported). Different regions create separate configurations. |
Visibility | A composite score that measures how prominently and consistently your brand appears in AI-generated results. It combines Detection Rate (how often you appear) and Rank Score (how high you appear). Higher scores indicate stronger AI presence. |
Schedule | The update frequency (e.g., daily, weekly). Also displays how many runs occurred within the selected time range.
The Schedule column also reflects the number of executions within the selected time filter (e.g., last 7 days)
Run count directly impacts detection rate and visibility stability. |
Last Updated | The most recent execution timestamp for this configuration. |
Status | Indicates whether the term is actively tracking or paused. |
How Visibility Score is calculated
Visibility Score is calculated using:
Detection Rate - The percentage of runs in which your brand appears.
Rank Score - A weighted score based on average position (higher ranks are weighted more strongly).
The formula combines these two values to produce a 0–100 score.
A brand that:
Appears frequently and
Ranks high in responses
will have a higher Visibility Score.
For the full formula and examples, see What is the Visibility Score in AI Visibility?
STOPPED HEREEEEEEEEE
Expanded row metrics explained
When you expand a row, additional performance metrics appear.
Metric | Description |
Mentions | Total number of times your brand was detected across executions within the selected time range. |
Position | Average ranking position of your brand when it appears (1 = first mentioned). |
Sentiment | Average sentiment classification across mentions (positive, neutral, negative). |
Detection Rate | Percentage of executions in which your brand appeared. |
Top 3 | Percentage of executions where your brand appeared in the top 3 positions. |
Timeline selector
You can adjust the metric view to:
24h
7d
30d
Last run
This changes how trailing averages are calculated.
Short windows show volatility.
Longer windows show stability trends.
Competitor preview (Top 6)
Within the expanded view, you can see a preview of the Top 6 competing brands.
You can toggle sorting by:
Visibility
Position
Sentiment
Detection
Mentions
Citations
This preview allows quick competitive benchmarking without entering detailed insights.
It answers:
Who appears most often?
Who ranks higher?
Who has stronger sentiment?
Who is cited more frequently?
Row-level actions explained
Each row includes action controls.
Action | Description |
View term details | Opens the detailed insights page for deeper analysis. |
Edit | Modify prompt configuration, engines, frequency, location, or settings. |
Copy | Duplicate the configuration to create a new tracked entry. |
Run on-demand refresh | Trigger a manual execution immediately (subject to processing queue). |
Delete | Remove the tracked configuration. |
View latest results | Open the most recent execution snapshot. |
View detailed insights | Access full performance analytics, brand analysis, citation mapping, and execution history. |
[Screenshot placeholder: Row action menu]
How to interpret the table correctly
Important principles:
Each engine configuration is tracked independently.
Visibility is engine-specific.
Detection rate depends on number of runs in selected time window.
Short time ranges may exaggerate volatility.
Expanded metrics provide context beyond the main Visibility column.
The table is designed for quick operational review.
Detailed competitive and citation analysis lives in the Detailed Insights view.
Best practices
Use grouping by Topic for strategic review.
Use grouping by AI engine to compare model performance.
Expand rows to review detection rate before reacting to visibility drops.
Monitor run count when interpreting detection fluctuations.
Use Top 6 competitor preview for quick competitive checks.
The Search Terms table provides a high-level operational view.
For deeper analysis, use Search term detailed insights.