Responsible AI

Australian firms warned over AI brand visibility race

Atlas Digital warns Australian businesses have less than two years to shape how AI systems represent them, as AI referral traffic surges 1,200 per cent.

Australian firms warned over AI brand visibility race

Key takeaways

  • AI referral traffic to Australian websites has risen by more than 1,200 per cent year on year, with half of Australians now using generative AI tools.
  • Atlas Digital found 72 per cent of brands it audited contained at least one factual error in AI-generated responses, and 70 per cent did not appear in AI recommendations for their own category despite strong Google rankings.
  • In one audit, a technology company achieved only 44 per cent accuracy in ChatGPT's description of its market positioning.
  • Between 73 and 89 per cent of B2B buyers now use AI in purchasing research, and 69 per cent of business software buyers selected a different vendor based on AI-sourced information.
  • Atlas Digital argues Australian businesses have less than two years to actively shape how AI systems represent them before the window to influence early customer decisions narrows significantly.

What Happened

In-body image for: Australian firms warned over AI brand visibility race
Illustrative AI-generated image by Mindiam (Flux 1.1 Pro Ultra)

Digital marketing firm Atlas Digital has warned Australian businesses that AI tools are increasingly shaping customer shortlists before any human interaction takes place, and that most organisations are not managing how they are represented in those systems.

The warning, published by eCommerceNews Australia on 9 July 2026, draws on Atlas Digital's own audits across software-as-a-service, technology and financial services companies. The firm's analysis found that half of Australians have used generative AI and that AI referral traffic to Australian websites has risen by more than 1,200 per cent year on year.

Atlas Digital works primarily with software and technology companies. It said many organisations remain focused on internal AI adoption while paying little attention to how external AI systems describe them to potential customers.


Why It Matters

The concern is not abstract. Atlas Digital's audits found 72 per cent of brands it reviewed contained at least one factual error in AI-generated responses. Separately, 70 per cent did not appear in AI recommendations for their own category, despite holding strong Google rankings. In one specific audit, a technology company achieved only 44 per cent accuracy in ChatGPT's description of its market positioning.

"By the time customers reach a company's website, AI has already shaped their shortlist. If you're absent from that list, or AI is relying on inaccurate information, you can be ruled out before any human conversation begins," the firm said.

The financial stakes are also becoming clearer. The analysis cited a claim brought by US solar company Wolf River Electric, which is seeking more than USD $110 million in damages after Google's AI Overview allegedly generated false information linking the business to legal proceedings.


Key Details

More than a third of consumers now use AI tools for product discovery, according to Atlas Digital's analysis. In business-to-business buying, the figures are sharper: between 73 and 89 per cent of buyers use AI in purchasing research. A G2 survey of more than 1,000 business software buyers found 69 per cent ultimately selected a different vendor based on information from an AI tool.

Atlas Digital attributed the accuracy problem to how AI systems compile information. "It pieces together information from multiple sources, so outdated profiles, inconsistent information or weak third-party coverage can all influence how a company is represented. Businesses need to think beyond their own website and consider whether AI is seeing an accurate picture of who they are," the firm said.

The tools driving this shift include ChatGPT, Google's AI answers, Gemini and Perplexity. Each draws on a different mix of sources, meaning a company's representation can vary across platforms without any deliberate action on its part.


Background and Context

The concern about AI-generated inaccuracies is not limited to brand positioning. Security firm Okta has separately warned Australian organisations about gaps in how they govern AI agents operating within their own systems, pointing to a broader pattern of businesses deploying AI capabilities faster than their oversight frameworks can keep pace.

"What we're seeing now is that many organisations aren't actively managing how they're being represented, despite AI increasingly influencing customer decisions," Atlas Digital said.

The firm's position is that the window to act is short. "The businesses that establish their AI presence now will be far better positioned as AI-driven discovery becomes mainstream. Those that wait risk letting AI define their brand before they do."


What Comes Next

Atlas Digital has not published a specific remediation framework in the reporting reviewed for this article. The firm's broader argument is that businesses need to audit their third-party coverage, correct outdated profiles and ensure consistent information across the sources AI systems draw on.

Whether Australian regulators will address AI-generated brand misrepresentation directly remains an open question. The Australian Competition and Consumer Commission has previously examined misleading conduct in digital markets, and the Australian Consumer Law's prohibitions on false or misleading representations would apply regardless of whether a human or an AI system generated the claim.

Sources & citations

  1. Sean Mitchell, "Australian firms warned over AI brand visibility race," *eCommerceNews Australia*, 9 July 2026. securitybrief.com.au
  2. "Okta warns Australian firms on AI agent security gap," *SecurityBrief Australia*. securitybrief.com.au
  3. Australian Consumer Law overview, *Wikipedia*. en.wikipedia.org
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