What is a good AI visibility score?

There is no universal benchmark. A young brand in a crowded category often starts below 30, because presence in AI answers builds as the brand accumulates mentions in the sources AI systems learn from and retrieve. The useful comparison is your own trend over time and your score relative to the competitors you track, not an absolute number.

Why did my visibility score drop?

Because the score decomposes into five components, a drop always has a specific location: the brand appeared in fewer answer variants (presence), appeared later in answers (prominence), lost ground to competitors (share of voice), was described less favorably (sentiment), or stopped being cited as a source (citation). A decomposed score tells you which one moved.

Is the visibility score the same as the integrity score?

No. The visibility score measures whether and how prominently a brand appears in AI answers. The integrity score measures whether what those answers claim about the brand is accurate, checked against facts the brand owner controls. A brand can score high on visibility while AI states its pricing or features incorrectly.

How often does the score change?

The score is recomputed on every scan. AI answers themselves vary between runs of the same question, which is why presence is measured across repeated variants rather than from a single response.

Learn/AI visibility score, explained

AI visibility score, explained

An AI visibility score is a 0 to 100 summary of whether, how prominently, and how favorably a brand appears in AI answers. Here is the exact formula AIVIS uses, component by component, and what moves each part.

An AI visibility score is a 0 to 100 summary of whether, how prominently, and how favorably a brand appears in AI-generated answers. One number cannot carry all of that on its own, which is why a score you cannot decompose is a score you cannot act on.

This page explains the exact formula AIVIS uses. We publish it because a score only earns trust when you can see what moves it.

The five components

The AIVIS Visibility Score combines five independent signals. The weights below are taken directly from the scoring engine.

Presence: 40%

Did the brand appear in the answer at all? Presence is measured across repeated variants of the same question, because AI answers differ between runs. A brand that appears in four of five variants scores higher than one that appears in two. Presence carries the largest weight because nothing else matters if you are not in the answer.

Prominence: 25%

How early was the brand mentioned? The first named brand in an answer frames everything that follows, and users weight it accordingly. A mention in the opening sentence scores near the top; a mention in the final paragraph barely registers.

Share of voice: 20%

How much of the answer discussed your brand compared to the competitors you track? If an answer spends three paragraphs on a competitor and one sentence on you, presence alone hides that imbalance. When no competitors are configured, this component is removed and the remaining weights are renormalized, so the score never rewards or punishes an empty competitive set.

Sentiment: 10%

How was the brand described? This component draws on the verdict engine: a brand described accurately and favorably scores higher than one framed by a competitor's strengths or described with errors.

Citation: 5%

Was the brand's own site linked or referenced as a source? Citations are rare and hard to earn, which is why the weight is small, but a citation is the strongest single signal that an AI system treats your site as an authority.

Why we publish the formula

Two reasons.

First, an unexplained score invites the wrong response. If your number drops eight points, the useful question is which component moved and why. A decomposed score answers that directly; a black-box score leaves you guessing.

Second, honesty about limits: these weights are a calibrated starting point, not validated truth. The scoring engine documents them as provisional, and they will be tuned as verdict data accumulates. We would rather publish a formula with that caveat than imply a precision the industry does not have. To our knowledge, no other tool in this category discloses its weighting at all.

Visibility score vs integrity score

The visibility score answers one question: does AI talk about you, and how? It deliberately does not answer whether what AI says is true.

That second question belongs to the integrity score, a separate 0 to 100 measure that checks each claim in an AI answer against a truth record you control. The two can diverge sharply. A brand can hold a visibility score of 85 while AI states a price it never charged, because being mentioned early and often says nothing about being described correctly. AI brand verification covers that accuracy dimension in detail.

What moves the score

The levers are unglamorous and slow, which is also why they work:

Presence and prominence follow from being in the sources AI systems learn from and retrieve: directories, reviews, comparison articles, and consistent coverage under one canonical brand name.
Share of voice follows from owning the comparison conversation in your category rather than leaving it to competitors' pages.
Sentiment follows from accurate, consistent entity data; AI systems describe you in the terms the web supplies.
Citation follows from publishing pages worth citing: server-rendered, factual, and structured so a machine can read them.

No action guarantees a score increase, and anyone promising one is selling something. What the decomposition guarantees is that when the score moves, you can see where and investigate why.

Learn more

What is AI visibility?: the concept behind the score
What is AI brand verification?: the accuracy dimension the visibility score does not cover
The best AI visibility tools in 2026: how the tools in this category compare
About AIVIS.Space: what we are and what we are not