What it is
The Search term detailed view shows the full performance breakdown for one specific AI prompt on one AI engine.
It answers:
How does my brand perform for this exact query?
Who else appears?
Where do citations come from?
How is the AI constructing its answer?
Is performance stable or volatile?
This is your diagnostic view.
Why it matters
AI search results are dynamic and contextual.
At the overview level, you see trends.
At the term level, you see:
Narrative positioning
Competitive framing
Source influence
Attribution mechanics
Execution-level transparency
If you want to understand why visibility changed, this is the page you use.
1. Search term overview (top section)
At the top of the page, you’ll see metadata for this specific term.
Overview fields
Field | Description |
Domain | The brand/domain being tracked` |
AI Engine | Model used (e.g. Gemini, ChatGPT, Perplexity) |
Topic | Associated topic grouping |
Region | Query location (if supported) |
Web search enabled | Indicates whether the engine used live web grounding |
Last updated | Most recent completed run |
Last run date | Date/time of last execution |
Next run date | Scheduled upcoming execution |
Update interval | Hourly, daily, weekly, or monthly |
Total runs | Number of executions for this term |
Date added | When the term was created |
This gives execution context before you interpret performance.
2. Brand performance summary
Below the overview section, you’ll see core performance metrics for this term.
Metrics include:
Visibility score
Sentiment
Citations
Mentions
Top 3 rate
Detection rate
You can adjust the timeframe:
Latest
24h
7d
30d
Metric calculation logic is explained in: AI Visibility metrics explained (formulas & interpretation)
3. Brand performance over time
This chart visualizes trends for the selected metric.
You can toggle between:
Visibility
Sentiment
Citations
Mentions
Top 3 rate
Detection rate
The chart includes:
Your brand
Top 6 detected competitors
This helps identify:
Sudden drops
Competitive shifts
Model volatility
Long-term trends
4. Mentioned brand analysis
This section lists all brands detected for this term.
Columns include:
Visibility
Sentiment
Citations
Mentions
Top 3 rate
Detection rate
This gives a side-by-side competitive comparison for this specific query.
Use this to understand:
Who dominates the narrative
Who appears consistently
Who earns the most citations
5. Citations & reference analysis
This section lists all cited pages associated with this term.
For each cited URL, you’ll see:
Brands mentioned on that page
Number of times mentioned
First seen date
Last seen date
Ownership classification:
Owned = Your domain
Earned = Third-party domain
Total brand appearances on the page
This helps you understand:
Which pages influence AI visibility
Whether authority is owned or external
How citation stability changes over time
For deeper attribution logic, see: Citations, sources & attribution in AI results.
6. Source box analysis
This section analyzes overall sources presented by the AI engine alongside its responses.
Unlike inline citations, these represent:
Ranked domains surfaced by the engine
Broader source panels or reference summaries
For each domain, you’ll see:
Visibility
Total appearances
Average rank
Detection rate
Clicking a domain reveals the specific pages contributing to performance.
This helps identify:
High-influence domains
Repeated source dominance
Opportunities for content or PR strategy
7. Search query fanout (Perplexity & ChatGPT)
Fanout reflects how the AI engine expanded or decomposed your original query during execution.
These are:
Additional queries generated or expanded by the AI model
Closely related semantic prompts
Variations implied in the response generation process
The section lists:
Extracted query terms
Number of appearances
Fanout helps you understand:
Semantic expansion behaviour
Adjacent topics the AI associates with your term
Potential prompt variations to track separately
8. Related Prompts (Perplexity only)
When tracking Perplexity, you may see a section called Related Prompts.
These are follow-up or adjacent questions suggested directly by Perplexity’s interface.
They represent:
Natural next-step questions
Topic expansions
User-style variations of your original query
This is similar to “People Also Ask” in traditional search.
How this differs from Search Query Fanout
Search Query Fanout reflects how the AI internally expanded or interpreted your query during response generation.
Related Prompts reflect external prompt suggestions shown to users after the response.
Fanout shows semantic expansion.
Related Prompts show user journey expansion.
9. Execution history
At the bottom of the page, you’ll see a log of all runs for this term.
Columns include:
Date/time
AI model
Region
Brands & ranks
Visibility score
Number of citations
Each row represents one execution.
You can click Spyglass from any run to view the exact captured response.
This provides:
Full auditability
Run-by-run comparison
Verification of metric calculations
Spyglass (AI result snapshot)
The Spyglass link opens the actual AI response captured during a specific run.
This provides full transparency into what the AI generated.
Spyglass tabs explained
Responses & Rank tab
Shows:
The full AI-generated response
All detected brands highlighted in the text
A table listing:
Brand
Position (rank in narrative order)
Number of mentions
Sentiment score
Position reflects the order in which brands appear in the AI’s answer.
Text citations tab
Lists:
Inline cited URLs appearing directly in the AI response
The brands mentioned within each cited page
These are references embedded within the AI’s generated answer.
This reflects attribution inside the response text.
Sources tab
Shows additional ranked sources presented by the AI engine.
These are:
Sources surfaced by the engine alongside the response
Not always embedded inline in the text
Sometimes displayed as structured reference panels
⚠️ Important distinction:
Text citations = inline references inside the generated answer
Sources = external source box or ranked references shown separately by the AI engine
Web view tab
Displays the response as it appeared in the browser interface at the time of capture.
This helps validate:
Formatting
Placement
Source presentation
UI-specific elements
How to use this page strategically
Use this page when:
Visibility changes unexpectedly
A competitor overtakes you
Citations spike or disappear
Sentiment shifts
You want to validate raw AI output
This is the most granular, transparent level of AI Visibility tracking.