GEO Audit Pricing: What to Charge Clients

Published August 2026.

TL;DR: Price a GEO audit as a flat, fixed-scope deliverable — not an hourly engagement and not a discovery call disguised as free work. The audit is a paid diagnostic: schema gaps, entity signals, direct-answer structure, and llms.txt/crawler access, delivered as a written findings document with a prioritized fix list. That document is also the sales tool for the retainer that follows — you’re not pitching a vague ongoing service, you’re quoting against findings the client already paid to see.

[Operator’s read] I price my own scoping and audit work as a flat $500–$1,000 engagement, the same structure whether the deliverable is an AI-agent scope document or a GEO audit — see what I charge for AI agent builds for the agent-side version of this. Agencies keep asking me the GEO-specific version of that question, because what a GEO consultant actually does is different work from a technical SEO audit, and clients don’t yet have an intuition for what it’s worth. Here’s the structure I use and why the audit has to be paid, not a free lead-in.

Table of contents

Why the audit has to be a paid deliverable, not a free pitch

Free GEO audits train the client to expect the finding before they’ve committed to fixing anything, and they train you to do real diagnostic work on spec. Both are bad. The audit itself — checking which AI crawlers can reach the site, whether schema resolves cleanly, whether the entity graph disambiguates the business from anything else sharing its name — takes real hours and produces a real, valuable artifact even if the client does nothing else with you afterward.

Charging for it does two things. It filters for clients who are actually going to act on the findings instead of collecting free consulting from three agencies and picking the cheapest one. And it gives you a legitimate, scope-bounded first invoice before any retainer conversation happens — the same logic covered in productized-service pricing: price the diagnostic and the ongoing work as two separate products, because they have different cost structures and different buying decisions behind them.

What belongs in the audit

A GEO audit is not a re-run of a technical SEO audit with an AI label on it. The technical SEO audit checklist — crawlability, speed, indexation — is a prerequisite, not the deliverable. The GEO-specific findings that justify a separate line item:

1. Crawler access. Which AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) are allowed or blocked in robots.txt, and whether an llms.txt exists and is accurate.
2. Schema coverage and correctness. Which schema types are actually load-bearing for AI citation versus decorative, and where the markup is missing, malformed, or contradicts the visible page content.
3. Entity disambiguation. Whether the business, the founder, and the offer are identifiable as distinct entities a model can resolve — not just ranked pages, but things a knowledge graph can point at.
4. Direct-answer structure. Whether the pages that should get cited actually answer the question in extractable prose near the top, rather than burying the answer under a wall of preamble.
5. A baseline citation check. A documented set of test prompts run against ChatGPT, Perplexity, and Google AI Overviews before any work starts — see how to measure AI search traffic for the tracking method this baseline feeds into.

The deliverable is a written findings document, not a call. A call to walk through it is fine; the findings need to exist on paper so the client can act on them with or without you.

Pricing the audit itself

I hold the same $500–$1,000 flat fee for a GEO audit that I use for an AI-agent scoping engagement, sized by the same variable: how much of the site there is to check and how messy the existing markup is.

Quote a flat number, not hours. A client evaluating three agencies has no way to judge whether “8 hours” of GEO audit work is fair or padded, the same problem hourly billing creates for agent-build quotes. A flat fee tied to a defined checklist is something they can compare across proposals.

Turning the audit into a retainer

The findings document is the pitch for what comes after it. Don’t propose an open-ended “ongoing GEO services” retainer — propose fixing the specific findings, priced against the specific list the client already paid to see. That’s a fundamentally easier sale than a retainer pitched cold, because the client is quoting against problems they’ve already confirmed are real.

Structure the retainer the same way I structure AI-agent maintenance retainers: a recurring fee sized as a percentage of the initial engagement, not a flat number picked out of the air.

geo_retainer_per_month = audit_fee × monthly_rate

monthly_rate:
  small fix list, stable schema, quarterly re-checks     → 15–25%
  active remediation, new content, monthly re-checks      → 30–50%
  ongoing citation tracking + competitive monitoring       → 50%+

For a $750 audit with an active-remediation client, that lands around $225–$375/month. That’s meaningfully higher, as a percentage, than the 3–12% range in the agent-maintenance formula — GEO work in 2026 still involves genuine month-to-month movement (model behavior shifts, schema best practices change, competitors start getting cited) in a way a deployed agent’s maintenance load usually doesn’t. Set the client’s expectations on that difference up front: this isn’t “set it and check occasionally,” it’s active work with a re-check cadence built into the price.

What the retainer should explicitly include: re-running the baseline citation check on a set cadence, fixing new schema or entity issues as they surface, and reporting movement against the original findings. What it shouldn’t include, without a separate quote: net-new content production, a full re-audit after a site redesign, or expanding the check to additional properties.

The two questions clients ask before signing

“Can you guarantee we’ll get cited?” No, and say so plainly before the contract is signed — there’s no mechanism that makes a model cite a specific domain for a fee, and any competitor promising that number is selling something they can’t deliver. What you can guarantee is the findings: specific, verifiable structural problems, fixed or not fixed, checkable by anyone who looks.

“Why does this cost more per month than our old SEO retainer?” Because the underlying work is less settled. Classic on-page SEO has decades of stable best practice behind it; GEO doesn’t yet, so more of the retainer month is genuinely new diagnostic and adjustment work rather than maintenance of a known-good setup. That’s a real cost difference, not a markup — price it as one.

The tools I use to run this

Claude — runs the actual citation-check prompts against a documented test set, and is what I use to read schema and flag the mismatches between markup and visible content.

Notion — the findings document and the fix-priority list live here, shared with the client before any retainer conversation starts.

Airtable — one row per client, tracking the audit date, the fix list status, and the last citation re-check — the same tracker structure I use for AI-agent client engagements.

FAQ

Should the audit fee be credited against the retainer if the client signs?

I don’t credit it. The audit is a complete, standalone deliverable the client keeps regardless of what happens next — crediting it implies it was really a sales cost, which undercuts the “this is paid diagnostic work” framing that makes the whole structure honest.

How long should a GEO audit take to deliver?

For the smallest tier, one to two weeks from kickoff to delivered findings document. Longer than that and the baseline citation check risks going stale before the client even sees it — model behavior and competitor citations both move within weeks, not months.

What if the client’s site is too small to need this?

Say so. A five-page brochure site for a local service business rarely needs a $750 structural audit — a lighter-touch review, or the local-business playbook in GEO for solo operators, covers it. Quoting a full audit to a client who doesn’t need one is the same wrong-fit mistake as quoting a multi-agent build for a task a no-code tool handles.

Do I need my own citation-tracking tool before I can offer this?

No — a documented spreadsheet of test prompts, run manually against ChatGPT, Perplexity, and Google AI Overviews on a fixed cadence, is a legitimate baseline. How to measure AI search traffic covers the manual method in full; add a paid tracking tool once you have enough retainer clients to justify the subscription cost.

Next steps: What a GEO consultant actually does covers the delivery work this pricing structure assumes you can already do. My AI Agents for Beginners course and the cowork program are where I teach the build side of this work in more depth. If you’d rather have the audit done for you first, book a 30-minute session.