What does GEO cost?
Real numbers, not "AI" markup.

Generative engine optimization pricing in 2026 spans roughly $1,500/month to $20,000+/month depending on the operator, the scope, and whether GEO is bought standalone or bundled with SEO. The honest distribution: a one-time GEO audit runs $1,500-$5,000; entry retainers ($1,500-$3,000/month) are mostly schema fixes and templated FAQ content; professional GEO ($3,000-$10,000/month) is senior-led work that combines on-site structure, entity building, and third-party citation campaigns; enterprise GEO ($15,000+/month) covers multi-brand or multi-market entity work. The price you should pay correlates with how competitive your category is inside AI answers, how much authority you already carry, and how many citation placements you need to earn. We publish these ranges and tighten them on a discovery call rather than hiding behind 'it depends.'

As a standalone line item, GEO typically runs $2,000-$8,000/month for most businesses, plus a one-time audit of $1,500-$5,000 to baseline where you stand across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Standalone GEO makes sense when your traditional SEO is already handled by another team or is genuinely healthy: you're layering AI visibility on top of a solid foundation. The risk with standalone GEO is that it ignores the retrieval layer: engines like ChatGPT browse Bing's index in real time, so a business with weak search foundations hits a ceiling no amount of schema work can lift. We tell you upfront whether standalone GEO is the right structure or whether you need the foundation fixed first.

It depends on the operator, and the difference is worth understanding before you sign. Some agencies sell GEO as a separate add-on while others combine it with SEO because the technical and authority foundations overlap. Xpand scopes the measurement, content, entity and citation work required for the specific engagement and states each line in the proposal. Outrigger, the separate AI-visibility platform Joel co-founded with Andrew, may support measurement when it is included in scope. The useful comparison is the work and reporting you receive, not whether the invoice uses one label or two.

Three reasons. First, measurement is harder: there's no Search Console for ChatGPT, so tracking whether you're cited requires purpose-built tooling that most agencies rent or fake. Second, the authority layer matters more: AI models weight third-party citations from trusted publications heavily, so digital PR, which is expensive to run well, carries more of the outcome than it does in classic SEO. Third, the discipline is new enough that pricing is genuinely unsettled, which means some operators are charging premium 'AI' rates for work that's mostly schema markup. The instrumentation gap is the real differentiator: Joel co-founded Outrigger with Andrew as a separate joint venture that measures AI citations, and Xpand may use PressForge to organize digital-PR workflow when the work calls for it.

A serious GEO audit runs $1,500-$5,000 depending on the number of queries and competitors benchmarked. It should tell you, for a defined set of category questions, whether AI engines currently name you, name a competitor, or name nobody, plus the specific structural and authority gaps causing it. It's worth it when you're deciding whether to invest in ongoing GEO, because it converts a vague 'we should do AI stuff' into a concrete list of fixes with an expected order of impact. It's not worth it if you already know your foundations are broken: fix those first. We run our audit off the same methodology behind the Outrigger AI Visibility Index, the study that found 65.9% of businesses are effectively invisible in AI search.

Four things. Agencies charging premium 'GEO' rates for what is really just FAQ schema and a llms.txt file: ask exactly what ships each month. Operators who can't show you how they measure AI citations: if they can't tell you whether you're being cited today, they can't tell you whether they moved the needle tomorrow. Guarantees of specific AI rankings: nobody controls what a model outputs, and anyone promising a fixed position is selling you certainty that doesn't exist. And standalone GEO sold to a business with weak search foundations, which quietly underdelivers because the retrieval layer was never fixed. Real GEO pricing comes with a measurement method, a citation strategy, and honesty about what the foundation needs first.

There is no universal payback date. Structural implementation, live-retrieval visibility and third-party authority move on different clocks, and commercial payback also depends on demand, margin, sales cycle and attribution. We baseline citation share and the relevant business outcomes at the start, identify the leading indicators, then set an evidence-dependent review schedule. Payback is measured against that baseline rather than promised from a generic GEO timeline.

GEO engagements are scoped against the work. A proposal may include technical and entity foundations, AI-specific content, citation-share measurement and strategic review, depending on the baseline and priority queries. Outrigger may support measurement when it is included in scope. When digital PR is in scope, Xpand may use PressForge to organize research, pitching and follow-up. Pricing reflects competitive density, existing authority, query coverage and the production effort required, so the final scope and fee are stated after discovery rather than implied by a blanket package.