An AI Visibility Audit can range from around €1,500 for a focused baseline assessment to €15,000–€25,000+ for an enterprise-level audit. The main cost drivers are the number of prompts, repeated test runs, AI engines, competitors, markets and languages covered, the depth of citation and entity analysis, and whether the audit includes raw evidence and an implementation roadmap.
Published: August 2026
Last reviewed: August 2026
Reviewed by: AEO Agency, the AI Visibility practice of Bluemind
That is a wide range for something sold under one name, and the spread is the reason this page exists. Two proposals can both say “AI visibility audit” and describe fundamentally different amounts of work. This page explains what moves the price, so you can tell which one you are looking at.
If you want the buyer’s checklist rather than the pricing, start with how to choose an AEO / GEO agency in Greece.
AI Visibility Audit Cost – What you get at each level
| Audit type | Indicative market range (2026) | Typical scope |
|---|---|---|
| Automated / tool-led snapshot | €100–€1,500 | Limited prompts, visibility score, basic competitor view |
| Specialist baseline audit | €1,500–€4,000 | Multi-engine baseline, competitor comparison, basic recommendations |
| Advanced strategic audit | €4,000–€8,000 | Repeated testing, citations, recommendations, technical and entity review, roadmap |
| Enterprise AI visibility audit | €10,000–€25,000+ | Large prompt sets, multiple brands, markets and languages, evidence archive, deep competitor and source analysis, executive roadmap |
These ranges are indicative market bands based on publicly available 2026 pricing and published service scopes; they are not standardized industry rates. Actual pricing varies substantially by provider and scope.
The step that matters most is the one from baseline to advanced. Below it, you are buying a snapshot: a number, a comparison, and a set of recommendations that could apply to any company in your sector. At and above it, you are buying repeated testing, the citation sources behind the result, a technical and entity diagnosis, and a roadmap tied to causes — which is what makes the findings yours rather than generic.
The enterprise tier is not a bigger version of the same thing. It is a different unit of analysis: several brands or markets measured in parallel, with an evidence archive that functions as sector research.
Why two “AI visibility audits” can cost €1,500 and €15,000
Because they are not the same service. Same two words on the invoice, eight material differences underneath:
| Lower-cost audit | Higher-cost audit | |
|---|---|---|
| Prompt set | ~40 prompts | ~200 prompts |
| Runs | One run per prompt | Repeated, controlled runs |
| Engines | 2 | 5 |
| Metrics | A visibility score | Mentions, citations and recommendations, reported separately |
| Competitors | Generic or assumed | Named and agreed with you in advance |
| Evidence | Screenshots | Raw responses preserved, with prompt, timestamp and session conditions |
| Diagnosis | Automated suggestions | Human technical, entity and content analysis |
| Scope | Single market, single brand | Multilingual, multi-brand, multi-market |
| Remeasurement | Often not included | Same frozen methodology rerun after implementation |
Read down that right-hand column and the price stops being a number to defend. A 200-prompt set run repeatedly across five engines in two languages, with every figure cross-checked against a preserved response, is simply more work than a 40-prompt single-run snapshot — before anyone has interpreted anything.
This is also why comparing a specialist audit to a €500 SaaS report is a category error rather than a price argument. The SaaS report is measuring; the audit is measuring, diagnosing and prescribing, with the evidence kept so you can check it. Both are legitimate. They answer different questions.
The seven factors that move the price
1. Number of prompts. The single biggest driver. A 30-prompt set and a 200-prompt set are different amounts of work at every subsequent stage.
2. Runs per prompt. This is where cheap audits save money, and where they stop being measurements. Analysis of roughly 815,000 prompt-page pairs found that after running the same prompt three times in ChatGPT, only about 2.2% of citations survived all three runs. Running each prompt once costs a third as much and tells you a fraction as much.
3. Number of engines. Measuring ChatGPT alone used to cover most of the audience. Similarweb’s data shows its share of generative AI web traffic falling from around 76% a year earlier to roughly 53%, with Gemini past a quarter — so single-engine audits are now cheaper and less representative.
4. Languages. For a Greek business this is not an optional extra. An arXiv study across twelve European languages found that an English query does not return a representative picture in multilingual European markets, and that the gap falls hardest on local champions. Greek and English are effectively two markets, and pricing reflects two sets of runs.
5. Competitive set. Tracking five named competitors on the same prompts, in the same runs, multiplies the data collected and the analysis required.
6. Site size and complexity. The technical and entity layer scales with the number of commercially important pages, templates, languages and third-party profiles that need checking.
7. Manual cross-validation. Whether every reported figure is checked against the raw response by a person, or taken from a dashboard as-is. This is labour, and it is the difference between a number you can defend and a number you can only repeat.
Why cheap AI visibility audits are cheap
It is worth being direct about this, because the low end of the market is not dishonest — it is just doing less.
An audit at the bottom of that table is usually a tool export with interpretation on top. The subscription does the measuring, someone writes commentary around it, and the deliverable is produced in a day or two. Nothing is repeated, nothing is cross-checked by hand, and the prompt set is often generic rather than built from your buyers’ actual questions.
That is a legitimate product for a first look. The problem starts when it is sold as a baseline. Without repeated runs and fixed conditions, the numbers cannot be compared to anything later — which means the audit cannot prove that the work you buy next actually worked.
What should never be an extra
Three things belong in the base price at any level, and their absence tells you more than the number does:
- The frozen prompt set, documented and dated, which you keep
- The raw responses behind the reported figures
- The remeasurement protocol — the conditions under which the next cycle will be run
If any of these is a paid add-on, or is withheld as proprietary, you are buying a report you cannot verify and a baseline you cannot take elsewhere.
Audit versus retainer
An audit is one-off; measurement is not. The value of a baseline lies entirely in what you compare against it later, so most engagements move to a monthly or quarterly cycle after the audit.
Watch for the two pricing patterns that cause problems. The free audit is a sales document — it costs nothing because it is designed to produce a yes, not a diagnosis. The retainer with no audit starts work against an undefined baseline, which makes every subsequent report unfalsifiable: any movement can be attributed to the work, and any absence of movement explained away.
How we price ours
Our audits start with a scoping conversation, because the seven factors above decide the number and we would rather quote against your actual scope than publish a figure that fits nobody. What is fixed regardless of size: repeated runs, cold logged-out sessions, Greek and English tracked separately, manual cross-validation of every figure, and the full package handed over — query set, raw evidence, diagnosis and roadmap — which you own whether or not you continue with us.
We do not run free audits. An audit that costs nothing has to sell something, and that is the wrong incentive at the exact moment you need an honest diagnosis.
