Two suppliers offer a GEO audit. One promises a visibility score, the other a report with recommendations. Neither description tells you whether the work will explain an inaccurate AI answer, a missing service or a technical access problem. Comparing their prices first hides the difference in what you are buying.
We recommend buying a defined diagnostic with evidence you can inspect. Its price should follow the agreed questions, markets, pages and retest. There is no responsible universal quote for a single-language service business and a multilingual catalogue without seeing their respective scope. This article does not invent a market price range or an unpublished Canem Errant tariff.
Ask which business decision the audit will change
Choose the uncertainty before choosing the tool. Perhaps AI answers describe an outdated service, cite a competitor for a commercially important question, or send people to an article that offers no relevant next step. These situations require different checks.
For the first, inspect facts and their sources. For the second, record a comparable set of discovery questions and assess the cited material. For the third, include the route to the service and enquiry. A general list of technical warnings cannot answer all three by itself.
Our GEO guide explains the broader work on content and sources. An audit proposal needs a narrower promise: which uncertainty it will reduce, which evidence it will collect and which decision it will support. An inconclusive result is possible if access or observations are insufficient.
What makes the work more expensive?
Markets and buyer languages add separate assessment work. Translating a prompt does not prove that buyers ask the same question or that sources agree across languages. More services and page types also increase the amount of factual and technical checking.
Platform coverage, search modes and repetition matter. An illustrative plan of 12 questions across 2 platforms with 2 attempts per question produces 48 planned observations. This is workload arithmetic, not a recommended universal sample or a measure of market demand. Failed attempts should be recorded separately rather than silently replaced with favourable answers.
Access changes what can be verified. Public pages support public observations. Analytics, server information or CRM data may help investigate referrals and enquiries, but only when included in the agreed work and made available appropriately. A public review cannot certify private configuration it has never inspected.
Finally, distinguish diagnosis, implementation and retesting. A quote can include a specific correction and repeat observation, or price those separately. Specify the boundary in writing. Content production, development, external placement, ongoing monitoring and platform subscriptions should not appear later as assumed obligations.
Require evidence behind each finding
A useful audit lets another person retrace the work. For AI observations, retain the exact question, date, platform, language, market, search mode and full answer with cited URLs. Record the displayed model where available. Keep branded fact checks separate from questions that did not supply the company’s name.
Open cited sources and check whether they support the statement. Mark a wrong address as a factual error only against current business evidence. If the cause of an omission is unknown, say so. A competitor being cited is an observation; it does not establish the ranking mechanism responsible.
Technical findings need a page or request, observed behaviour and a repeatable check. A blocked page should be distinguished from a page that was accessible but absent in the sampled answers. Correct access does not establish recommendation quality.
| Deliverable | What the buyer should be able to inspect | Acceptance question |
|---|---|---|
| Scope and question set | Services, markets, languages, platforms and exclusions | Were the agreed questions actually investigated? |
| Observation register | Saved answers, conditions, sources and failed attempts | Can the sample and counts be reconstructed? |
| Findings with evidence | Confirmed defect, open hypothesis or untested area | Does each conclusion stay within its evidence? |
| Prioritised work plan | Specific action, owner, dependency and verification | Can the next action be assigned without another audit? |
| Retest specification | What is repeated, after which change, under which conditions | Can implementation and observed visibility be judged separately? |
Do not accept a hidden scoring formula as a substitute for this register. A score can summarise a defined sample if its denominator and rules are available. It cannot certify the entire AI market or establish revenue impact.
Reject the tempting shortcut: a technical score as the result
An automated scan can quickly identify issues worth inspecting. It becomes a dead end when the report treats valid markup, an accessible crawler or a new file as proof that AI systems will recommend the company.
Google’s guidance for AI features does not require special AI files or special schema for AI Overviews and AI Mode. It also does not guarantee inclusion when requirements are met. That is Google-specific guidance, not a claim that every AI system uses the same retrieval process.
The audit should explain which technical change solves a demonstrated problem. “Add this file to improve GEO” is too vague without the consuming system, expected behaviour and verification method. The same applies to bulk FAQ generation or bought mentions without checking factual value and placement suitability.
Compare quotes using the same scope
Send suppliers the same business question and request a written boundary. Compare the number and type of markets, platforms, page groups, observations and included review rounds. Ask who checks evidence manually and who explains the findings to the team responsible for implementation.
Separate the diagnostic fee from agreed changes, subscriptions and later monitoring. Check the currency, tax treatment, payment stages and what happens if necessary access is unavailable. A lower price may be reasonable for a smaller diagnostic; it is misleading only when a smaller scope is presented as the same work.
At Canem Errant, the initial 15-minute conversation scopes the task. It is not a free full audit. Where deeper investigation is needed, the paid work and its price are agreed before it starts. Our GEO diagnostic service can begin with one market and one decision, then include a written, separately approved correction and retest where appropriate.
Accept the work before commissioning a larger programme
At handover, take one important finding and follow it back to the evidence. Can you reproduce the observed problem? Does the recommendation address it? Is the claimed outcome a verified fix, a change in sampled answers, an observed visit or a confirmed enquiry?
These are different acceptance stages. A successful deployment can close a technical defect while the visibility effect remains unestablished. More mentions can occur without useful enquiries. Treat the next investment as a new decision supported by the delivered evidence, rather than an automatic continuation of the audit.
Frequently Asked Questions
Can I receive a quote without giving analytics access?
Yes, for an explicitly bounded public diagnostic. The proposal should list which traffic, private configuration and commercial questions cannot be verified without additional access.
Should a GEO audit guarantee citations or recommendations?
No. It should guarantee the agreed work and evidence, not decisions controlled by external platforms. Reproducible findings and a usable next action are better acceptance criteria.
Is implementation included in the audit price?
Only when the proposal says so. List the specific correction, approval, testing and retest included; broader content or development work needs its own agreed scope.
