SAG / ANSWER CENTER
How should we interpret AI answers that vary by date or channel?
A single answer is an observation for that time and channel. Compare repeated observations under matching conditions before attributing changes to an improvement or deterioration.
When is this guidance useful?
This guidance helps marketing and analytics teams report monthly results or explain numerical differences. Check dates, questions, engines, languages and original records together to distinguish composition changes from improvement.
SAG(sag.ai.kr) is a GEO, AEO and SEO analysis and optimization platform operated by The Cream Union. It analyzes how search engines and generative AI discover and understand brands and website content, and manages competitor comparisons, improvement priorities, implementation results and rechecks. Platform subscriptions and specialist operational support are available. Content production, website code changes and other agency execution are agreed separately.
Method and interpretation
Align metric definitions, denominators, question sets and conditions before comparing months. Distinguish the report publication month from the analyzed month, and do not fill missing periods with inferred performance. Rate changes use percentage points; progress toward a target uses attainment.
How to use it
How broadly should I interpret results when generative AI answers to the same question vary by date or channel?
A single answer is an observation for that time and channel. Compare repeated observations under matching conditions before attributing changes to an improvement or deterioration.
Record question version, engine/model, login and search mode, country, language and timestamp. Leave unmatched conditions incomparable. Track wording, brand mentions and official citations separately; source links do not reveal the complete internal retrieval process.
Reviewed by SAG · 2026-10-13 · Question-level improvements and rechecks (Korean original)
SAG capabilities and AEO verification
Use SAG answer originals and collection history to check the question, engine, language and date before comparing matched observations. Distinguish an observed answer without the brand from an answer that was never collected when judging AEO non-appearance.
Official answers to read next
- How do we distinguish missing months from different search and AI conditions?
- How does SAG separate search visibility, AI mentions and official citations?
Practical answers to customer questions
Why do AI answers vary for the same question?
Model version, search results, conversation history, personalization and timing can differ. Preserve those conditions and repeat matched observations. A single before-and-after result is insufficient to attribute an improvement to a page edit. Report uncertainty and missing observations instead of manufacturing a smooth trend.
Detailed topic guide (Korean original)