Marketix Digital says AI search leaves revenue gap

Marketix Digital has released retail modelling suggesting that, even when AI search traffic is more valuable, it leaves a monthly revenue gap of A$43,400 when it replaces lost organic visits. The analysis uses an external benchmark to test whether AI referrals can offset a decline in search traffic.

The Sydney-based search advisory firm begins with 100,000 monthly organic visits worth A$4 each, generating A$400,000 in revenue. A 20% decline in organic traffic removes 20,000 visits and cuts revenue by A$80,000, based on the same average value per visit.

Using a ratio that values AI referrals at 83% more revenue per visit than non-AI traffic, the model puts each additional AI visit at A$7.32. On that basis, 5,000 extra AI visits would generate A$36,600, taking monthly revenue to A$356,600 and leaving A$43,400 unrecovered.

That means the additional AI traffic would replace 45.75% of the lost revenue in this scenario. To close the gap fully, retailers would need about 10,929 additional AI visits in total, or 5,929 more than the model's starting assumption.

"A better conversion rate does not pay for missing customers on its own. Retailers need enough additional sales to replace the revenue they lose, and enough margin to cover the cost of winning those sales," said Shoaib Mughal, Managing Director at Marketix Digital.

The analysis is aimed at retailers considering investment in AI search visibility as shifts in customer discovery affect traditional search traffic. It frames the issue around the value of lost visits, the number of AI referrals gained, and the revenue those referrals generate.

Visitor value

The outcome changes sharply if the lost organic visits are lower value than the retained traffic. In a second scenario, each lost visit is worth A$1 rather than A$4, reducing revenue lost from a 20% traffic decline to A$20,000.

At that level, the same A$36,600 in revenue from 5,000 additional AI visits would exceed the lost revenue by A$16,600 before acquisition costs. This, the firm argues, shows why retailers should assess the quality of the traffic they lose rather than treating every click as equal.

"Businesses need to put a revenue target against their AI search investment. More valuable visitors only close the gap when enough of them arrive and buy," said Mughal.

"A rise in AI referrals can look impressive on a dashboard while the business still loses revenue overall. The commercial question is how much additional business those referrals generate against the value that has disappeared," he said.

Margin test

The modelling also looks at contribution rather than revenue alone. In the A$43,400 shortfall scenario, a 30% contribution margin and A$2,000 in additional monthly acquisition costs produce a monthly contribution decline of A$15,020.

To restore the original contribution under those assumptions, retailers would need about 11,840 additional AI visits in total at A$7.32 per visit. In this case, contribution is defined as revenue after variable costs and added acquisition spending, rather than net profit.

"Treating every lost click as equally valuable can send investment in the wrong direction. Losing low-value research traffic and losing customers ready to purchase create very different financial problems," said Mughal.

The research also argues that direct AI referrals capture only part of how AI may influence sales. A customer might first encounter a retailer through an AI-generated answer, return later through a branded search, and complete a purchase through another channel.

That creates a measurement problem for marketers and finance teams trying to assess whether AI-driven discovery adds sales or simply shifts them between channels. Retailers should compare direct AI referral traffic with branded search trends, category sales, and customer feedback on discovery, while keeping reporting periods and trading conditions comparable.

"Finance and marketing teams need to agree the hurdle before they commit the budget. Set the revenue target, apply the margin, include the acquisition cost and then measure whether the investment delivers," said Mughal.

Marketix Digital also recommends defining the product categories and landing pages being tested, and recording any promotions, stock changes, or tracking adjustments that could distort results. Businesses should also count each sale once when assigning credit across channels.

"Count each sale once, but investigate the journey that produced it. AI deserves credit when it helps win a customer. That still leaves retailers with the job of proving what the investment adds to the business," said Mughal.