Reputation management has traditionally focused on review platforms and the organic search results for a brand's name. That's no longer the whole picture.
A new surface to monitor
When someone asks an AI assistant about a business, the answer is generated from whatever sources the model considers reliable — which may include outdated information, third-party summaries, or review aggregations the business has never seen. This means reputation monitoring now needs to include: what AI systems say about a brand when asked directly, and whether that description is accurate and current.
What this changes in practice
Traditional ORM monitors reviews and sentiment as they're published. AI Search reputation monitoring asks a different question on an ongoing basis: if someone asked an AI system about this business today, what would it say? The answer can shift as models update, which is why this needs to be a recurring check rather than a one-time audit.
Combining the two
The most useful reputation reporting brings review monitoring, sentiment analysis, and AI Search reputation checks into one place, so a reputation issue in one surface can be cross-checked against the others before deciding how to respond.