Search "how much does GEO cost" and you'll find a specific-sounding number within seconds. Search it five more times and you'll find five different specific-sounding numbers, often disagreeing by tens of thousands of dollars a month. That's not a sign the market is just hard to summarize. It's a sign most of what's published isn't real pricing data at all.
Why published price ranges shouldn't be trusted at face value
We looked through close to a dozen "GEO pricing" guides before writing this. Every single one was an agency's own marketing content, not a research firm or a disclosed survey. None showed real methodology behind the numbers. The ranges swung from a few thousand dollars a month to fifty thousand or more, frequently on the same page, and most ended with a call-booking link rather than a source. Numbers like that aren't market data. They're a marketing tactic dressed up as one, and treating them as a real benchmark before talking to anyone is a good way to walk into a negotiation anchored on a figure nobody can actually justify.
The closest real number available
What does hold up is data on the SEO market GEO work usually extends. Clutch's pricing data, drawn from more than 65,000 SEO companies and their client project reviews, puts the average monthly SEO retainer at $3,199. Ahrefs' own survey of 439 SEO professionals landed independently at $3,209 a month, with the single most common range falling between $501 and $2,000. Two different organizations, two different methodologies, converging within $10 of each other is a real signal, not a coincidence.
That's SEO pricing, not GEO pricing specifically, and worth being precise about the difference. But it's a defensible anchor rather than a guess, for a concrete reason: GEO work draws on the same technical foundations and content infrastructure as SEO, and in most engagements gets scoped as an extension of an existing program rather than a separate budget built from zero. A business already paying somewhere near that $3,000-to-$3,200 range for SEO is a more realistic starting point for what adding AI search optimization work costs than any of the specific "GEO pricing" figures circulating in unsourced marketing content.
What actually drives the cost
Four factors do most of the real work in any legitimate quote, regardless of who's giving it:
- Scope: one-time fix vs. ongoing program. A technical audit and schema cleanup is a bounded project with a clear end date. An ongoing citation program, tracking performance across platforms and adjusting content as patterns shift, is open-ended work priced more like a retainer than a project.
- How many platforms you're actually targeting. Google's AI Overviews lean heavily on existing Search Console and Merchant Center signals, so targeting Google specifically overlaps a lot with work you may already be paying for through SEO. Targeting ChatGPT and Claude's crawler separately is genuinely separate technical work, since those systems can't render JavaScript and need real content sitting in the raw HTML a server returns. More platforms covered properly means more distinct work, not just a bigger version of the same task.
- The condition of what already exists. Restructuring an existing library of accurate, well-organized content for extraction is a different scale of work than starting from a handful of thin pages with nothing citable in them yet.
- Whether the team already has the skills in-house. Some SEO teams already understand structured data, entity clarity and citation tracking. Many don't yet, simply because it's new enough that it hasn't become standard SEO training — which is often the actual gap an outside agency is filling, more than the strategy itself.
How to evaluate a quote instead of anchoring on a number
Skip the published ranges and ask three things directly instead. First, what's actually included — a one-time audit, ongoing content work, or both, and against how many pages. Second, how success gets measured — citation tracking across specific platforms is a real deliverable; "AI visibility improvement" with no defined metric isn't. Third, what the timeline assumption is, since citation patterns can shift within weeks rather than the months a traditional SEO campaign takes to show movement — a quote that doesn't account for that volatility at all is probably underestimating the ongoing work involved.
When this is worth investing in, and when it isn't yet
It's a reasonable investment for a business with real expertise and existing content that simply isn't structured for citation, or one already running SEO that wants to extend that work into AI platforms specifically. It's premature for a business with no real content or expertise to structure yet — restructuring work has nothing to restructure — and for anyone expecting a fixed, one-time cost to solve something that's actually ongoing by nature. A smaller technical audit is often the more honest starting point for that second group, before committing to anything open-ended.
None of this replaces an actual conversation with whoever you're evaluating. What it should do is change the conversation — from "does this number match what I read online" to "does this scope match what my business actually needs," which is the question that was always the real one.