AI brand visibility

Measure and shape how AI sees your brand.,

As consumer behaviour changes, buying increasingly starts with a question to AI. More than a dashboard, we turn industry data into insight you can act on, shaping how often AI mentions your brand and how it describes you.

Start with a conversation
Why it matters

Buyers are asking AI first

92%

of the Google searches we track in automotive and health insurance return an AI answer.

(i.e.,) AI Brand Visibility data

AI shapes the shortlist

Buyers now pick from AI's shortlist. You need to be on it, described the way you want.

Buyers arrive better informed

By the time they reach you, AI has briefed them. The first impression is already made.

How you're described matters

AI's words shape what buyers believe about you. We find what drives them in your category.

How we're different

More than a mention count

Most AI visibility tools tell you how often your brand is mentioned. We go further, translating the data into a roadmap that improves your brand's awareness and perception in AI.

WHAT WE OFFER
  • Measured analysis across ChatGPT and Google AI Overviews, with more models being added
  • Mention rate compared with your competitors
  • A sentiment score for how AI describes you
  • The factors that drive both, explained through data science
  • A roadmap of changes built on those factors
  • A view of whether AI positions you the way you want
78%

of AI chatbot traffic in Australia goes through ChatGPT.

StatCounter, September 2026
88%

of searches in Australia run through Google, where AI Overviews now answer questions first.

StatCounter, September 2026
2+

models measured today, chosen because together they cover most of how Australians use AI to research. More are being added.

Comparison

How often AI names you against the competitors your customers weigh you up against, by segment and type of question.

Health insurance data Measured on health insurance questions. Each industry gets its own question set.

Brand ABrand B
SentimentMentionSentimentMention
ChatGPT5.012%5.944%
Google AI Overviews5.585%6.262%

Overall mention rate and sentiment out of 10. Brand A leads in AI Overviews but trails in ChatGPT.

Sentiment score

How favourably AI describes you when it mentions you, scored and tracked by segment.

Health insurance data These question types are specific to health insurance.

Brand ABrand B
SentimentMentionSentimentMention
Coverage and inclusions6.280%5.640%
Costs and claims6.186%5.846%
Rules and incentives6.086%6.153%
Value and cost5.273%5.8100%
Trust and service4.2100%6.673%

Google AI Overviews. Brand A appears in every trust and service answer, but is described least favourably.

Brand positioning

Whether AI links you to the qualities you want to own. A gap only matters if it is one you want to close, or a competitor's strength is costing you.

Automotive data These brand qualities were defined for the automotive category. Each industry is measured on the qualities that matter to its buyers.

Brand CBrand D
SentimentMentionSentimentMention
Refined6.480%6.685%
Authentic6.164%6.735%
Welcoming hospitality5.857%6.125%
Engaging to drive5.521%6.660%

Each brand owns the qualities that fit its own positioning, which is a strength, not a gap.

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What we've learned

What working with other organisations has taught us

01

Start with a decision, not a dashboard

Findings get used when they answer a question the business already has to answer. Generic benchmarks get filed and forgotten.

02

Being mentioned is not being chosen

Visibility only matters when it leads to enquiries and sales, so we connect what AI says to what customers do next.

03

Marketing and digital shouldn't be separate

The best outcomes come when both teams own the roadmap. Marketing shapes the brand story, and digital shapes the site and data AI reads.

That is why we don't stop at measurement. We partner with you to design and build the digital experiences that change the answer.

What we've found

What our research shows

We ask AI the questions real customers ask, at scale, across whole industries.

Health insurance Aged care Automotive

Customers arrive with a shortlist

They research with AI first, so brands meet them late.

What it means: AI may already have decided whether you made the list.

Monitor from Australia

AI answers change with where the question is asked.

What it means: to track Australian brands accurately, monitor from here.

What drives AI answers varies

They differ by industry, segment and often product.

What it means: no universal checklist. Your roadmap comes from your category's data.

Dashboards don't tell you what to do

Action needs insight framed around your strategy, competitors and customers.

What it means: the value is in knowing what to change.

AutomotiveHealth insurance

Models don't always agree, and it depends on the industry

Brand visibility and perception can differ between ChatGPT and Google AI Overviews. In automotive, results were consistent across the models. In health insurance, they were not.

What it means: measuring one model can give you a false read. You need to see every place your customers are asking.

Health insurance data These customer segments are specific to health insurance.

ChatGPTGoogle AI Overviews
SentimentMentionSentimentMention
General5.011%5.388%
Seniors5.020%5.173%
Young5.025%6.175%
Family–Not named5.591%

Brand A only. The same brand, the same questions, two very different answers.

Health insurance data The full landscape: both brands, both models, every question type.

Where each brand shows up, question by question

Brand ABrand B
ChatGPTAI OverviewsChatGPTAI Overviews
Coverage and inclusions40%5.080%6.260%6.040%5.6
Out-of-pocket costs and claims20%5.086%6.140%6.046%5.8
Rules and incentivesNot named86%6.020%5.053%6.1
Value and costNot named73%5.260%5.8100%5.8
Trust and serviceNot named100%4.240%5.573%6.6

Mention rate, with sentiment out of 10 beneath. Darker means mentioned more often.

One insight: on rules and incentives, Brand A is not named by ChatGPT at all, yet appears in 86% of AI Overviews answers. A strategy built on one model would miss it.

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Tailored to you

Built around your objectives

We start with your industry, then shape the questions around your products and customers, so every finding informs a real decision.

For example

A health insurer might ask how AI describes it when families compare extras cover.

A car maker might ask how AI compares its product with a rival's across key product attributes, such as cost and quality.

How it works

From insight to a roadmap

  1. 1

    Industry view

    Where your brand stands against your category today.

  2. 2

    Tailored diagnostic

    Your questions, products and segments, measured in depth.

  3. 3

    Roadmap

    The qualities that move AI's answer for your brand, ranked by impact: what to fix, what to protect and where competitors rank above you.

  4. 4

    Ongoing measurement

    We measure progress with you as the roadmap is delivered. It confirms each change is having the influence we expected, and keeps the work aligned to your objectives as AI keeps evolving.

Example: our work in automotive

Typical advice versus our data

Generic advice treats every item as equal, in every industry. Our data shows which factors actually move AI's answers in a category, and which work against you.

Typical advice

Every item equal, every industry the same

Add FAQs
Add video
Link to authorities
Fresh content
Schema

A list from a blog. The same for every customer and every question.

What our data says

Some factors help, some work against you

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Automotive, non-branded questions, page signals only. Left: fewer citations. Right: more. Source: (i.e.,) regression analysis, October 2026.

Who you'll work with

The people behind the work

Stasi Economou
Your first conversation

Stasi Economou

Growth Partner and Head of Frontier

Stasi leads our engagements with enterprise and government organisations. He partners with you to make sure our practices and services deliver value aligned to your organisational objectives.

Seth Reid
The data behind it

Seth Reid

Director of Data and Intelligence

As our Director of Data and Intelligence, Seth leads our data work. He built the method behind our industry data and runs the brand diagnostics, from the questions we ask AI to what the answers mean.

Start with a conversation.

Let's look at your category together. We'll walk you through what our industry data shows, then tailor it to help you understand and position your brand in AI answers.

Thanks, we'll be in touch.