AI Visibility Score
AI & Generative SearchAlso: AI Visibility Metric · AI Search Visibility Score
Quick definition
An AI Visibility Score is a number a vendor tool assigns to estimate how often and how prominently your brand appears in answers from AI assistants like ChatGPT, Gemini and Perplexity. It's a proprietary metric, so each tool calculates it differently and no single industry standard exists.
How it varies across Australia
AI visibility scores vary wildly across Australian businesses because the metric itself varies by vendor. Brands with strong existing search authority and Wikipedia presence tend to score higher, but the gap between tools measuring the same brand is often larger than the gap between brands.
See brand and positioning scores across Australian industries →What it actually means
An AI Visibility Score tries to put a single number on a question every brand suddenly cares about: when someone asks ChatGPT or Gemini about our category, do we get mentioned? It's the LLM visibility question wrapped in a metric so vendors can sell tracking against it.
The catch is that there's no agreed way to calculate it. Profound, Otterly, Scrunch and every other tool in this space each run their own set of prompts against their own set of models, then weight mentions their own way. Feed the same brand into three tools and you'll get three different scores. That's not a bug in one of them. There's just no standard yet, the way there's a standard for a conversion rate or a CTR.
So the number is directional, not absolute. It's useful for watching whether your visibility is trending up after a content push. It's close to useless for comparing yourself against a competitor measured by a different tool. Treat it like a brand awareness tracker, not like a ROAS figure.
A score with no shared standard is a thermometer where every brand reads a different temperature. Track the trend, distrust the absolute.
How it shows up
AI Visibility Scores show up in vendor dashboards as a headline number, usually out of 100 or as a percentage share of voice against named competitors. Underneath, the tool has run a batch of prompts through several LLMs, recorded whether your brand appeared, where it appeared in the answer, and whether it was cited or just mentioned.
The honest tools show you the underlying prompts and raw mentions so you can sanity-check the score. The less honest ones show only the number. If you can't see which prompts produced the score, you can't judge whether it reflects the questions your actual customers ask.
The Australian context
Australian brands face a specific problem here. Most AI visibility tools default to prompts and training data weighted toward US sources. A strong Australian brand can score poorly simply because the model was asked a generically-worded prompt that surfaces global players.
If you're measuring AI visibility for an Australian audience, check that the prompt set includes location-specific and Australian-English phrasing. A tool scoring you on 'best CRM software' will read differently from one scoring 'best CRM software Australia'. The gap between those two prompts is often where your real visibility lives.
Where people get this wrong
AI Visibility Score vs LLM Visibility
| AI Visibility Score | LLM Visibility | |
|---|---|---|
| What it is | A vendor's numeric estimate | The broader concept of appearing in AI answers |
| Standardised? | No, differs per tool | Not a metric, so no standard needed |
| Best used for | Tracking your own trend over time | Understanding the strategic goal |
| Risk | Mistaking it for a hard KPI | Staying too abstract to act on |
Related terms
Common questions
Is there a standard way to calculate an AI Visibility Score?
No. Each vendor tool such as Profound, Otterly or Scrunch runs its own prompts against its own selection of models and weights mentions differently. There's no shared industry standard, so scores are not comparable between tools. Only the trend within a single tool is reliable.
How is AI Visibility Score different from LLM visibility?
LLM visibility is the broad concept of whether your brand shows up in AI-generated answers. An AI Visibility Score is one vendor's attempt to turn that concept into a single number. The concept is strategic. The score is a proprietary measurement of it.
Should I trust my AI Visibility Score?
Trust the direction, not the absolute figure. If the score climbs after you publish content or earn citations, that's a useful signal. But don't treat the raw number as fact, and never compare it against a competitor measured by a different tool. Always check which prompts produced it.
Which tool should I use to track AI visibility?
Pick one that shows the underlying prompts and lets you customise them for Australian phrasing, then hold it constant. Switching tools resets your trend line because the scores aren't comparable. Consistency matters more than picking the theoretically best vendor.
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About New Rebellion
New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.
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