What is a GEO audit? What it covers and what it costs in 2026
What is a GEO audit?
A GEO audit is a structured review of how AI engines answer your buyers' real questions: which brands get named, in what order, with what reasoning, and what the answers claim about you. The output is a share-of-voice picture, a list of documented errors, and a ranked plan to fix both.
The audit exists because buying research has moved. When someone asks an AI "which provider should we use?", the answer contains a handful of names and a reason for each. There is no results page behind it and no analytics trail showing you the answers you lost. A GEO audit is how you finally see that conversation. If the term GEO itself is new to you, start with our plain-English guide to generative engine optimization and come back.
One naming note so you can compare offers properly: GEO audit, AI visibility audit, and AEO (answer engine optimization) audit describe the same service. Providers picked different labels while the category was forming, and in 2026 all three are still in use.
What does a good GEO audit actually check?
Six things, at minimum. If an offer skips several of these, you are buying a scan rather than an audit.
- Share of voice, engine by engine. Your real buyer questions run through each engine, with every named brand recorded: who appears, at what rank, and how often. A brand can be strong in Claude and nearly absent in Gemini, so a single blended score hides the story.
- Accuracy of what the answers claim. Engines state prices, features, and company facts with full confidence, and some of those statements are wrong. Each claim about your brand gets verified against reality.
- How the answers frame you. Getting named is half the game. The audit should record the adjectives and hedges that travel with your name, because "affordable but dated" wins different deals than "premium and polished".
- Technical access. Whether AI crawlers can read your site at all: robots.txt rules, content that survives without JavaScript, structured data, sitemap health.
- Your off-site record. Software directories, review platforms, and company databases feed the engines their facts. Stale plans, wrong categories, and contradictory records on those surfaces get repeated to buyers as truth.
- Per-engine differences. ChatGPT search leans on Bing's index, Google AI Overviews lean on Google's, and Perplexity cites its sources openly. The same fix moves different engines at different speeds, and the plan should say so.
What does a GEO audit cost in 2026?
The market has settled into recognizable tiers. These ranges come from public price pages of agencies and tools in mid-2026.
| Tier | Typical price | What you get | Best for |
|---|---|---|---|
| Free automated scanners | €0 | An instant visibility score from a small, generic question set | A first curiosity check |
| Snapshot audits | €100–300 | A small hand-run question panel with a real mention leaderboard | Testing the waters before a full audit |
| Full expert-run audits | €500–1,000 | 20–30 buyer questions across the major engines, documented errors with evidence, a prioritized fix plan | Most SMBs and scale-ups |
| Agency engagements | €2,000–9,000+ | The audit plus workshops, implementation support, often multiple markets and languages | Enterprises with teams to coordinate |
| Ongoing monitoring | €200–500/mo | Monthly re-runs of your question panel with trend reporting | After a first audit, once fixes ship |
The spread comes down to manual hours. Reading and verifying hundreds of AI answers takes days of expert time, and each added engine, competitor, market, or language multiplies the panel. For reference, our own Snapshot costs €149 and a Full Audit €690, which lands deliberately below the agency tier while keeping a human on every answer.
Do you need an automated scanner or a human-run audit?
A scanner measures how often you appear. A person also reads what the answers say and notices when they are wrong, and wrongness is where deals quietly die.
Two examples from our own audit work this summer. An engine answered a pricing question by retrieving a client's retired pricing page, which was still live, and quoted a price that no longer exists. Two major company databases named two different people as the same company's CEO, and the engines repeated whichever record they happened to pull. No automated score surfaces either problem, because both answers looked perfectly healthy. They were simply false.
So the honest rule of thumb: run a free scan whenever you like, treat it as a thermometer, and bring in a human-run audit when you want to know what the answers actually tell your buyers and what to change. Our methodology write-up shows exactly how the human version works step by step.
What should the audit hand you when it's done?
Judge any GEO audit by its deliverables. You should receive:
- A dated, per-engine leaderboard. You against named competitors, question by question, so the baseline can be re-tested later.
- Every error documented with evidence. The exact claim, where the engine most likely picked it up, and the correct fact, so your team can fix the source instead of guessing.
- A fix plan ranked by impact. Each fix with an owner (marketing, developer, founder) and an effort estimate, ordered so the quick wins come first.
- A re-test commitment. The same questions run again after your fixes, because a baseline without a follow-up is just a photograph.
And two red flags worth walking away from: a single score with no underlying answers to read, and advice so generic it could ship to any company in any industry.
How often should you repeat a GEO audit?
Plan on a re-measure within a month or two of shipping your fixes, then a steady rhythm after that. Models update, retrieval sources change, and competitors publish. Fixes on pages the engines fetch live can show up in answers within days, while corrections to third-party databases take longer to propagate. Monthly monitoring makes sense while you are actively climbing; quarterly checks can be enough once your category is stable. What does not work is auditing once and framing the certificate.
If you have never seen what the engines currently tell your buyers, that first baseline is the highest-leverage document you can buy for the money. It usually pays for itself with the first wrong price it catches.