Visibility, average position, share of voice and sentiment explained
What each AI visibility metric counts, worked examples with invented numbers, what each one cannot tell you, and which to put in front of your boss.
- Visibility counts mentions, Average position counts rank, Share of voice counts you against tracked competitors, Sentiment counts tone. Each one alone has a blind spot the others cover.
- Every figure needs its sample line. A percentage without “based on N answers” cannot be compared to anything.
- Sentiment and other perception scores carry a 95% confidence interval: the range the true value most likely falls in. Overlapping ranges mean no movement.
- Report Visibility and Share of voice for the trend, Average position and Sentiment for quality, and citation share when the question is whether AI sources you.
The four numbers at a glance
Visibility counts how often AI mentions you, Average position measures how high, Share of voice sets you against tracked competitors, and Sentiment rates the tone. Read the four together: alone, each one has a blind spot the others cover.
| Metric | Definition | Question it answers |
|---|---|---|
| Visibility | The share of answers that mention your brand. Prompts you mark as more important count for more. | Do buyers see us when they ask? |
| Average position | How high your brand appears in the lists AI gives, on average. 1 is the top, so lower is better. | Are we recommended or buried? |
| Share of voice | Your brand's mentions as a share of all tracked brands and competitors in the same answers. | How do we stack against the set? |
| Sentiment | How positively answers talk about your brand, from 0 to 100, where 50 is neutral. | What do they say once we are in? |
Two supporting numbers sit alongside these four: citation share, which counts the domains AI links, and the sample line under every figure. Any percentage you cannot multiply back to a count of answers is a number waiting to mislead you.
What Visibility measures
The share of answers that mention your brand. Prompts you mark as more important count for more.
An answer either names your brand or it does not, so Visibility is the bluntest of the four and the one a manager reads first. It is also the one that moves when something real happens: a page gets crawled, a review site enters the sources, a competitor drops out of the answer entirely.
What it cannot tell you: whether the mention recommended you or passed over you (Average position), whether it was praise or a grudging footnote (Sentiment), who else was in the answer (Share of voice), and whether anyone clicked anything after. A blended Visibility figure also hides which prompt is dragging: the total can rise while your core category prompt stays unmentioned for a month.
What Average position measures
How high your brand appears in the lists AI gives, on average. 1 is the top, so lower is better.
This is what separates “mentioned” from “recommended first”, which is the actual difference between a footnote and a shortlist. Buyers reading an answer rarely get to the fifth name.
What it cannot tell you: anything about the answers where you did not appear, which is Visibility's job, and nothing about the distance between you and the brand above you (a gap of one place and a gap of four both read as “second”). It also swings on few answers, because it only has placements to average. Read its sample line before calling a movement a trend.
What Sentiment measures
How positively answers talk about your brand, from 0 to 100, where 50 is neutral.
Sentiment is computed over mentions rather than answers, so its sample line keeps the real unit: based on 174 mentions. It scores the language around your brand in the answer, which is the only one of the four that reacts to what is actually said about you.
advisible shows the interval on perception scores such as Sentiment and keeps the score hidden until the sample is large enough to carry it, which is why a brand-new workspace shows no number at all rather than a confident 40 from four answers.
What it cannot tell you: what was said. A flat 50 can be twelve neutral mentions, or six glowing and six scathing cancelling each other out. It also scores the answer's wording, not customer satisfaction, so a complaint AI picked up from one review site will dent it without any of your customers changing their mind. Read the mentions behind a Sentiment move before you report one.
One brand, one week: reading all four together
Invented scenario: Northwind CRM, 16 prompts on 5 engines for one week, 560 answers, four tracked brands. Here is what the four numbers said together, and what a careful reader concludes.
| Metric | This week | Last week | Sample line |
|---|---|---|---|
| Visibility | 31% | 26% | based on 560 answers |
| Average position | 3.3 | 3.2 | based on 121 answers |
| Share of voice | 28% | 24% | based on 620 tracked mentions |
| Sentiment | 57 (51 to 63) | 59 (53 to 65) | based on 174 mentions |
| Citation share | 8% | 8% | based on 430 links |
The plain read: you were mentioned in more answers, you sat in the same spot when you were listed, and your slice of tracked mentions grew. That last gain needs a second look, because a rival's mentions halved this week after it dropped out of the comparison prompts. Your share rose without one extra mention of your own.
Sentiment slipped four points, and the intervals overlap, so there is no movement to explain. Two answers do repeat a pricing complaint, which is worth reading for its own sake: the number did not find a trend, but it pointed at two answers that did.
Citation share stayed put, which tempers the Visibility win. More answers mentioned you, none of them started sourcing you. None of the four numbers alone would have caught all of that.
What to report to your boss
Visibility and Share of voice for the trend, Average position and Sentiment for quality, citation share when the question is whether AI sources you. Same window on both sides, a sample line under every figure, and two raw answers attached so the reader can judge the parser.
- Headline. Visibility this 30 days against the previous 30, with “based on N answers” on the line. One number, one comparison, one caveat.
- Quality. Average position and Sentiment with their intervals, and one sentence on what moved. Say plainly when the ranges overlap and nothing moved.
- Sources. Citation share plus the domains AI cited most for your prompts, so the content owner knows which external pages are doing the work.
- Evidence. Paste two answers verbatim: the best one and the one that got you wrong. A number with a real answer under it survives a skeptical room; a bare chart does not.
Leave out the week's smallest wiggles. A four-point swing inside two overlapping intervals is a question for the answers, not a slide, and the arithmetic for telling the two apart is in how many answers a number needs. The prompt set behind the report deserves the same care, which is choosing prompts to track.
Common questions
Why did Visibility rise while Share of voice stayed flat?
They have different denominators. Visibility counts answers that mention you, Share of voice counts your mentions against all tracked brands in the same answers. You can gain mentions in answers where no tracked competitor appears.
Is a lower Average position always better?
Yes, because 1 is the top of the list. Check the sample line first: a single deep list in a quiet week can move the average more than a month of steady placements.
Which metric matters most?
Pick by the question being asked. Reach, Visibility. Competitive standing, Share of voice. Quality of placement, Average position. Tone, Sentiment. Reporting one metric always answers only part of the question.
Why does Sentiment jump around more than Visibility?
Sentiment is computed over mentions rather than answers, so its sample is smaller and its interval wider. Two or three critical answers in a quiet week shift it several points.
Do these metrics behave the same on every AI engine?
No, because the answers differ by engine. Read them per engine before reading a blended average, otherwise a strong month on one engine hides a blind spot on another.
What is AI search visibility?
AI search visibility is how often your brand shows up when buyers ask ChatGPT, Perplexity or Gemini about your category. What it means and how to measure it.
Which prompts to track for AI visibility
How to build an AI visibility prompt set from real buyer questions, how many prompts to start with, and why branded prompts belong on their own line.
How to read AI citation and source data
Mention, citation and retrieved source defined in one sentence each, plus how to read citation share and a sources list without fooling yourself.
How to build an AI visibility report for your boss or client
A copy-paste monthly structure for an AI visibility report: prompt scope, Visibility with sample sizes, named competitors, top sources, one action.
How many answers before you can trust a number?
What a sample line like based on 18 answers licenses you to say, our rule of thumb for ignoring noise, and how a confidence interval reads without the math.
Track this for your own brand
advisible runs your prompts on ChatGPT, Perplexity, Gemini, Grok and Claude every day, and every number shows how many answers it is based on.