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 premium add-on at $2,000-$5,000/month on top of an existing SEO retainer. We take the opposite approach: AI search optimization — baseline tracking across every major engine via Mention Layer, our own AI-visibility platform — is included in our professional engagements at no separate fee. Active GEO production (citation campaigns, entity building, AI-specific content) scales with the number of priority queries we target, but you're never paying twice for the same underlying work. Traditional SEO and GEO share the same technical and authority foundation; charging for them as two disconnected products is usually a pricing move, not a delivery reality.

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: we built Mention Layer to measure AI citations and PressForge to earn them, so our GEO pricing reflects delivered outcomes rather than a markup on novelty.

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 MentionLayer 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.

The fastest wins come from structural fixes — schema, entity disambiguation, FAQ markup, and Bing visibility — which can shift real-time AI citations in 30-60 days because engines browse indexes that update quickly. The compounding wins come from third-party citations that get baked into model training, and those move on longer 90-180 day cycles tied to how often the models retrain. Realistically, budget two to three months to see AI-answer movement on your priority queries and six months for it to compound into a durable citation share. GEO front-loads the structural work and back-loads the authority return, similar to SEO. We baseline your citation share at engagement start and report against it so payback is measured, not assumed.

GEO lives inside our professional-tier engagements ($3,000-$10,000/month, scoped against the work), and AI-visibility tracking via Mention Layer is included rather than billed separately. A typical scope includes the full technical and entity foundation, active citation campaigns run through PressForge (our digital-PR engine, behind 300+ campaigns), AI-specific content production, weekly citation-share reporting across ChatGPT, Perplexity, Gemini, and Google AI Overviews, and monthly strategy reviews. Pricing reflects your category's competitive density inside AI answers, the authority you already carry, and the citation-placement rate needed to compete. We publish the range here and quote a tightened number on a discovery call, because the spread between a low-competition local business and a contested national category is large enough that a flat website price would mislead more than it informs.