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AI Perception Summary

The AI Perception Summary is an auto-generated narrative that explains, in plain language, how your brand is currently perceived across the major LLMs (the answer engines people now ask instead of searching). Instead of reading through dozens of individual data points, you get a single readable paragraph that captures the overall story.

It appears as the Overall AI Perception card on your brand report — a large, dedicated component near the top of the page.


Why It Matters

Most of the data in your brand report is detailed and granular. That's powerful for analysis, but it's not something you can paste straight into an executive update.

The AI Perception Summary solves that. It synthesizes the signals Genezio tracks into one coherent narrative, so you can:

It pulls together three kinds of signal:

A quick note for marketers: the summary is generated in the brand's own language, so multi-language reports read naturally for the audience that owns them.


Where to Find It

  1. Open your brand report.
  2. Look for the Overall AI Perception card near the top of the page.
  3. Read the summary directly, or copy it into your own document.

The summary is produced by Genezio's analysis engine and cached, so the card loads quickly each time you return to the report.


When It Appears

The AI Perception Summary is only shown when there is enough data to make it meaningful.

In particular, it is hidden when only a single answer-engine model is configured for the brand. Cross-model perception is only interesting when there are multiple models to compare — one model on its own can't show you how perception varies across the AI landscape.

If you don't see the card, check that more than one model is configured and that the brand has been analyzed.


How It Relates to Perceptions and Sentiment

Think of the summary as the headline, and Perceptions and Sentiment as the supporting detail:

The summary also feeds the Geo Assistant's context. That means you can ask Geo follow-up questions about your overall AI perception and get answers grounded in the same data the card is built from. See Geo Assistant.


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