AEO Prompt Data
Access historical answers, citations, and mentions for the prompts you're tracking across AI answer engines.
The AEO Prompt Data step lets you pull historical brand visibility data for your tracked prompts across AI answer engines. Get comprehensive insights about how your brand appears in AI-generated responses, including answers, citations, and mentions with sentiment scores.
Overview
What it does: Access answers, citations, and mentions for prompts you're tracking for your brand across answer engines like ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overview. Data is available for the last 7, 30, or 90 days.
When to use it:
Monitor brand visibility trends across AI platforms
Track competitive positioning in AI-generated responses
Identify which prompts drive the most brand mentions
Analyze sentiment shifts over time
Build automated reports on AI search performance
Key benefits:
Go from insight to action: Connect your AEO analytics directly to content optimization workflows
Unified cross-platform monitoring across all major AI answer engines from a single workflow step
Competitive benchmarking with automated sentiment analysis and mention rate comparisons
Flexible time ranges to analyze trends over 7, 30, or 90 days
Actionable data that feeds directly into content creation and optimization workflows
Supported AI Platforms
The AEO Prompt Data step works with five major AI platforms:
ChatGPT
OpenAI's conversational AI assistant
Perplexity
AI-powered answer engine with real-time web search
Gemini
Google's multimodal AI assistant
Google AI Mode
Google Search's AI-powered response mode
Google AI Overview
AI-generated summaries in Google Search results
Default behavior: All platforms are selected automatically to ensure comprehensive coverage. You can filter to specific platforms using the multi-select dropdown in the step configuration.
Data aggregation: Results are combined across all selected platforms, giving you unified metrics rather than platform-specific siloed data.
Available Report Types
1. Answers Report
Access actual AI-generated responses for context and positioning analysis
Purpose: Review the actual content of AI responses to understand how your brand is positioned, what context it appears in, and identify opportunities for improvement.
Report Fields
answer
String
Complete AI-generated response text (truncated at 10,000 characters if needed)
Full response content
date
String
When the AI response was generated
MM-DD-YYYY
Understanding the Data
Content Analysis: Examine how AI platforms describe your brand, products, or services in their responses
Contextual Positioning: Understand what topics and questions trigger mentions of your brand
Competitive Framing: See how you're positioned relative to competitors in direct comparisons
Messaging Consistency: Identify variations in how your brand is described across different prompts
Sample Response
2. Citations Report
Monitor which URLs are referenced as authoritative sources
Purpose: Track which URLs are being cited by AI platforms as authoritative sources for specific prompts, ranked by how frequently they appear across AI responses.
Report Fields
url
String
The complete URL being cited (query parameters removed)
Each URL appears only once
citation_rate
Float
Frequency this URL appears in answers with citations
0.0 to 1.0 (higher = more frequent)
Understanding the Data
Citation Rate: Defined as (number of answers citing this URL) / (number of answers containing at least one citation). A citation rate of 0.67 means this URL appeared in 67% of responses that included citations.
URL Normalization: Query parameters are automatically stripped from URLs to avoid duplicate entries
Authority Ranking: Results are sorted by citation rate (descending), showing which sources AI platforms reference most frequently
Sample Response
3. Mentions Report
Track brand and competitor visibility with sentiment analysis
Purpose: Monitor how frequently your brand and competitors appear in AI responses for specific prompts, with automated sentiment scoring to understand perception trends.
Report Fields
brand_name
String
Brand or competitor name from your Brand Kit
Domain's name field
mention_rate
Float
Relative frequency of mentions for this brand
0.0 to 1.0 (proportion of total mentions)
sentiment_rate
Float
Average sentiment score of mentions
-1.0 to 1.0 (-1 = negative, 1 = positive)
Understanding the Data
Mention Rate: Calculated as (this brand's mentions) / (total mentions across all brands). A rate of 0.25 means this brand accounts for 25% of all brand mentions in the analyzed responses.
Sentiment Rate: Averaged across all mentions using sentiment analysis. Values range from -1.0 (completely negative) to 1.0 (completely positive), with 0.0 being neutral.
Competitive Context: Results are sorted by mention rate (descending), allowing you to quickly identify brands with the largest share of voice.
Sample Response
Step Configuration Guide
When setting up your AEO Prompt Data step, configure these fields:
1. Report Type (Required)
Description: Choose the type of analysis you want to perform.
Options:
Answers: Access actual AI response content for positioning analysis
Citations: Track which URLs are cited as authoritative sources
Mentions: Monitor brand visibility with sentiment analysis
2. Platform (Multi-select)
Description: Select which AI platforms to include in your analysis.
Options: ChatGPT, Perplexity, Gemini, Google AI Mode, Google AI Overview (all selected by default)
3. Brand Kit (Required)
Description: Select the Brand Kit containing your brand information and competitor list. This determines which brands are analyzed and compared.
4. Question (Required)
Description: Select a tracked prompt/question from your Brand Kit to analyze. This focuses the analysis on a specific prompt that you're monitoring.
5. Time Range (Required)
Description: Determines the date range for the data.
Options:
Last 7 days: Most recent snapshot of AI visibility
Last 30 days: Monthly trend analysis
Last 90 days: Quarterly performance review
Use Cases
Content Optimization Pipeline
Pull prompt data to identify gaps in AI responses, then trigger content creation or refresh workflows:
Use AEO Prompt Data to find prompts where competitors are mentioned more frequently
Route to a content analysis step to identify missing topics
Generate optimized content targeting those prompts
Competitive Monitoring Dashboard
Build automated reports that track competitive positioning:
Pull mentions data across key prompts
Compare sentiment rates between your brand and competitors
Output to Google Sheets or Notion for stakeholder review
Citation Authority Tracking
Monitor which content performs best in AI citations:
Pull citations data for high-priority prompts
Identify your most-cited URLs
Analyze patterns to inform content strategy
Last updated
Was this helpful?