Question 1

How is brand sentiment measured in AI answers?

Accepted Answer

Every brand mention in a tracked answer is classified as positive, neutral, or negative, with a confidence level and a supporting excerpt. Window aggregates roll those classifications into a Net Sentiment Score, so the number traces back to real answers.

Question 2

What is a Net Sentiment Score?

Accepted Answer

A mention-weighted score from -100 to 100 per measurement window: all mentions positive scores 100, all negative scores -100, and a mix lands in between. It comes with the mention counts behind it, so low-volume windows are easy to spot.

Question 3

Can I compare brand perception against competitors?

Accepted Answer

Yes. The attribute matrix shows what engines associate with each tracked brand side by side, and sentiment is scored per brand, so you can see whether answers describe a competitor as "easy to use" while attaching "expensive" to you.

Question 4

How do I find negative brand mentions in AI answers?

Accepted Answer

The negative mentions list shows the most recent negative classifications with their evidence: the brand, the date, and the answer excerpt that carried the tone. When the score drops, this list is the why.

Question 5

What are brand attributes in AI answers?

Accepted Answer

The descriptive language engines attach to brands: "reliable", "well documented", "enterprise focus". Citlyze clusters them from what answers say, so the vocabulary reflects the market rather than a fixed taxonomy.

Question 6

How is AI brand perception different from social listening?

Accepted Answer

Social listening samples what people post. Perception measures what AI assistants tell buyers when asked, which is a different surface with different dynamics: fewer sources, higher stakes per answer, and directly influenced by the content engines can read and cite.

Question 7

Is Brand Perception included in all plans?

Accepted Answer

Yes. Perception is computed from the answers you already track, so every plan includes it with no extra setup or metering.

Question 8

How do I fix negative sentiment once I find it?

Accepted Answer

Start from the evidence: the excerpts show what engines repeat and often which sources feed it. From there the usual levers are correcting or outweighing the cited sources and publishing content that addresses the criticism head-on. Citlyze recommendations pick up repeated gaps automatically.

Question 9

How often does perception update?

Accepted Answer

Per measurement window, alongside your regular tracking. Each completed window adds a new score point, and the Sentiment shift alert can notify you when the score moves past your threshold.

Question 10

Which engines are covered?

Accepted Answer

The engines your plan tracks: sentiment is classified from those engines' recorded answers, and you can filter perception per engine to see whether one engine skews more negative than the rest.

Measure how AI perceives your brand

One score per window, trended over time

The adjectives AI gives you vs competitors

Every negative mention, with the answer behind it

AI brand perception

Does AI recommend you when buyers ask?