The short answer: there is no universal "good" number — an AI Visibility Score only means something relative to your category. As rough ranges: household-name category leaders commonly score 70 and above, established players land between 40 and 70, and challengers typically sit below 30. The more useful questions are comparative: how do you score against direct competitors on the same prompts, and which direction is the number trending?
What the score actually measures
brandflare's AI Visibility Score is a 0–100 figure: your average mention rate across ChatGPT, Gemini, Google Search, Perplexity, and Claude on your tracked prompt panel, over your recent checks. A score of 55 means that when your category's questions were asked across the five engines, a little over half the answers named your brand. How it's measured — prompt panels, mention detection by an LLM judge, aggregation — is covered in the scoring methodology.
It is one of the five factors behind the Flare score, the headline number on every brand page, which also weighs how prominently, how accurately, how evenly across engines, and how favourably you're presented. Flare has its own bands, from Very high to Very low; the ranges on this page are for visibility on its own.
Two properties follow from that definition. First, the score is prompt-relative: it measures visibility on the questions in your panel, so a panel of broad category prompts yields a harder test than one of niche or branded prompts. Second, it's a sampled average of a noisy process — AI answers vary run to run — which is why it's computed across several sweeps rather than a single one.
Why relative beats absolute
Categories differ wildly in how concentrated their AI answers are. In a mature category with two dominant players, engines name the same brands almost every time — leaders score in the 80s and everyone else scrapes single digits. In a fragmented category, answers rotate through a long list, and 35 might lead the field. Comparing your 42 to another industry's 60 tells you nothing.
The comparison that does carry information is the competitor gap: your score minus a rival's, measured on the identical prompt panel over the same window. That number controls for category difficulty, prompt selection, and engine behavior all at once. A 42 that sits 15 points above your nearest competitor is a strong position; a 42 that trails the leader by 30 is a to-do list.
Benchmarks to orient by
- 70+ — you are the default answer. Engines name you unprompted on most category questions; the work shifts to protecting accuracy and sentiment.
- 40–70 — reliably in the conversation, not the default. Typical for established brands; gains come from winning specific prompt clusters you currently lose.
- 15–40 — mentioned inconsistently, often engine-dependent. Common for challengers; the per-engine and per-prompt breakdown matters more than the headline number.
- Below 15 — largely invisible to AI. Priority one is diagnosis: why engines skip you, then the fundamentals in improving AI visibility.
What to aim for first
Set targets in this order: beat your trailing self (a rising trend proves your tactics work), then close the gap to the next competitor above you, and only then worry about absolute thresholds. A 10-point gap closed is worth more than any round number reached — and it's the movement engines' share of voice math actually rewards, since answers are zero-sum shelf space.
If you don't yet know your number, every brand in the public index has one, free to open with an account — and measuring AI visibility explains how to read what comes back.