Retesting

复测AI Terms

In one sentence

Rerunning the same fixed question set across AI engines at regular intervals (Starbox GEO defaults to 30 days) to compare indices and metrics against the previous round and verify if the optimization direction is working.

The sources AI references evolve as new content is published; a single audit only reflects that moment in time. Regular retests reveal whether newly published content has been adopted by AI engines.

After retesting, adjust the next round of content topics based on the findings: prioritize creating content for questions that still lack coverage.

Example

If a second-round retest shows the brand still does not appear in price-related queries, prioritize producing pricing-focused content in the following month.

Related terms

AI Visibility Index: A composite score used by Starbox GEO to measure a brand's exposure in AI responses. Calculated using the same fixed prompt set, it enables direct comparisons between diagnostic rounds.
Fixed Prompt Set: A set of questions that simulate real inquiries from target buyers. Once finalized during the initial audit, the set remains unchanged, and every retest uses the exact same questions to ensure results are directly comparable.
GEO (Generative Engine Optimization): The optimization method to get brands and content retrieved, trusted, and included in answers by AI engines, covering generative AI platforms such as Doubao, DeepSeek, ChatGPT, and Perplexity.