Build an SEO budget around revenue growth, revenue protection, shared infrastructure, and AI experiments to justify spending beyond organic traffic.

The first requests funding to address technical SEO debt, improve content architecture, and ensure that critical product information is accessible to search engines. Organic traffic has been declining, and the CFO wants to know why the company should continue investing in a channel that appears to be delivering diminishing returns.

The second requests funding for a generative engine optimization (GEO) initiative. It promises to improve visibility across AI-powered discovery platforms by addressing technical accessibility, strengthening content architecture, and making product information easier for machines to retrieve and interpret.

The second proposal sounds considerably sexier and may have a better chance of securing funding, even though much of the proposed work is identical. This is the problem with how many organizations approach SEO investment: the perceived value of the work can change dramatically depending on which budget it comes from, even when the underlying business benefit is substantially the same.

As AI changes how consumers discover and evaluate brands, organizations need to reconsider how they fund search visibility. Adding a GEO budget or swapping organic traffic for a new collection of visibility metrics does not solve the underlying problem. The budget has to reflect what the business is actually purchasing.

For years, the financial justification for SEO followed a relatively straightforward model. Investments produced rankings, rankings generated traffic, and traffic created opportunities for conversions and revenue.

The model never captured SEO’s full contribution, but it gave organizations an accessible way to evaluate investment against organic acquisition.

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