Arrow 
A useful GEO audit tells you what was inspected, what was observed and what needs changing. Separate website checks from actual assistant answers, retain supporting evidence and prioritize findings by their effect on buyers. An audit should produce a reviewable action plan rather than converting incomplete information into a universal visibility score.
Define the scope and record what was not tested
Start with the domain, languages, markets and buyer journeys included. Identify the pages most likely to explain the offer: product, pricing, company, cases and supporting guides. Record the public URL and final destination rather than assuming a local file is deployed.
Specify which search surfaces and collection methods the audit includes. If an assistant was not tested, mark it unmeasured. A technical inspection of the website cannot fill that gap.
Agree on the intended outcome with the business owner. An audit for a local service may focus on coverage and contact accuracy, while a SaaS audit may focus on capabilities and implementation requirements.
Check access and discovery
Inspect the final HTTP status, access rules, canonical, public content and internal paths to each priority page. Check the published result after redirects. Record a failed request as an access finding, not proof that the page is absent from every search index.
OpenAI documents OAI-SearchBot for search separately from GPTBot for potential training use. Verify the intended crawler and published IP ranges in access rules. A simulated user agent alone does not prove genuine crawler access. OpenAI crawler documentation.
For changed public URLs, IndexNow can notify participating engines; the protocol does not guarantee indexing. Use it after verifying the published change. IndexNow's official FAQ.
Inspect the information a buyer would rely on
Read the product journey as a prospective customer. Check who the offer serves, what it includes, important limitations and how to proceed. Compare repeated product facts across pages. Conflicting plan descriptions deserve a correction even before any assistant repeats them.
Trace numerical results to their definition, original period and supporting record. Identify estimates, illustrative examples and observed outcomes separately. If a claim cannot be verified, record the missing evidence and the person who can resolve it.
Use the measurement reference when reviewing AI-response evidence. A citation is not automatically a recommendation, and an API output should not be presented as a tested public interface.
Prioritize specific findings
Create one finding per resolvable issue. Include the affected URL, evidence, buyer consequence, proposed action and owner. Distinguish confirmed defects from opportunities that require further investigation.
The following are illustrative prioritization examples, not reported audit results.
Use simple priority levels tied to impact and effort. A misleading product promise may deserve attention before adding another guide. Avoid assigning a precise expected ranking uplift when the audit has no evidence supporting that estimate.
Group changes that share a dependency. A template problem may affect several pages; record the shared cause and validate representative pages after the correction.
| Finding type | Example | Acceptance condition |
|---|---|---|
| Access defect | A priority public page ends at an error | The intended page loads successfully |
| Product contradiction | Two pages state different usage limits | The owner confirms one current description |
| Unsupported claim | A performance percentage lacks a definition | A source and scope are supplied or the claim is corrected |
| Measurement gap | A surface has an estimated visibility result only | The result is labeled correctly and missing observations remain explicit |
Deliver an actionable handoff and retest
Provide a short summary, the evidence register and an ordered work queue. Define what the owner must supply, what the implementation team will change and which observations need repeating. Keep unresolved questions visible rather than burying them in a score.
After release, retest the specific issue on the public page. Then run the relevant response observations under comparable conditions. Technical completion and observed visibility remain separate milestones.
Apply the process to France DPE providers, where service descriptions and location fit matter, or fintech buyer information, where product boundaries need clear explanations.
Start with a free audit and review Arrow's GEO approach to define a manageable first scope.
Sources and editorial scope
This is Arrow AI's implementation guidance. Examples are illustrative unless identified as dated observations. Source access and good content do not guarantee a recommendation.
Continue through the GEO evidence library, inspect Arrow GEO's measurement limits, or start an audit.