AI & Searchfreelancer
Synthetic Testing
What it does
Generates and runs hundreds of realistic AI queries to test your brand in AI responses. Provides statistical overview of visibility and position.
Single queries give an incomplete picture of AI visibility
Testing a few questions manually provides anecdotal evidence, not statistically reliable data. You need hundreds of queries to understand the real picture of brand visibility in AI responses.
- Manual tests with a few questions don't provide statistically reliable results
- AI responses vary between runs — single results can be misleading
- No coverage of all relevant question types and phrasings
- Impossible to detect patterns and trends without sufficient data volume
Statistically reliable AI visibility test with hundreds of queries
Synthetic Testing generates and runs hundreds of realistic queries tailored to your industry. The result is statistically reliable data about brand visibility, position and sentiment — not anecdotes.
- Automatic generation of 100-500 realistic, industry-specific queries
- Parallel execution against ChatGPT, Gemini, Perplexity and Claude
- Statistical analysis with confidence intervals and significance testing
- Detailed breakdown per question type, platform and search intent
Features
- Automatic generation of 100-500 industry-specific test queries
- Statistical visibility report with confidence intervals
- Platform breakdown: visibility per AI model
- Intent segmentation: informational vs. transactional vs. navigational queries
How it works
- Enter brand, industry and competitors for test generation
- The tool generates and runs hundreds of queries against all AI models
- Get statistical report with visibility data, trends and action recommendations
Use cases
- Enterprise brands needing quantitative AI visibility data for the boardroom
- AEO agencies wanting to document baseline and progress for clients
- Research teams analyzing AI visibility systematically over time
Why use Synthetic Testing?
Testing AI visibility with a few manual queries is like measuring ocean temperature with one bucket of water. AI responses vary between runs, between phrasings, and between platforms. To get a reliable picture, you need hundreds of data points — and that's exactly what Synthetic Testing delivers.
The tool generates realistic queries mimicking real user behavior. Not generic "recommend a provider" questions, but specific, industry-relevant phrasings like "which accountant in Bergen handles limited companies with under 10 employees?". This specificity ensures test results reflect reality.
The statistical analysis is what makes this an enterprise tool. You don't just get "you're mentioned in 34% of responses" — you get confidence intervals, significance testing and breakdown per question type. When you present this to leadership or clients, you have data that withstands scrutiny — not anecdotes from a few manual tests.
FAQ
- How many queries are run?
- You choose between 100, 250 and 500 queries. More queries give higher statistical reliability but use more credits.
- What are synthetic queries?
- Automatically generated, realistic questions mimicking how real users ask AI models about your type of product or service.
- How long does the test take?
- 100 queries typically take 3-5 minutes. 500 queries take 10-15 minutes. You can leave the page and return to the results.
- How does this differ from LLM Influence?
- LLM Influence provides a deep analysis with influence score. Synthetic Testing focuses on breadth — hundreds of queries for statistically reliable visibility data.
- Can I compare results over time?
- Yes, run the test monthly or quarterly to build a trend line and measure the effect of AEO actions.
Try Synthetic Testing free