Quick answer

An Answer Engine Optimization (AEO) audit checks six steps in order: define the buyer decision and US market, test a fixed 20-to-30-prompt set, separate native model answers from web-enabled search answers, log full response evidence and cited URLs, score spontaneous mentions and fact accuracy, and prioritize technical or content fixes.

1. The Six-Step AEO Audit Methodology

Unlike a classic technical SEO audit that inspects crawl status and keyword positions, an AEO audit treats the generated answer itself as the unit of analysis. You need comparable test conditions and a saved log of full responses rather than a single opaque score.

Six-step AEO audit workflow from left to right: 1. Define Buyer Decision, 2. Lock 20-30 Prompt Set, 3. Split Native vs. Web Modes, 4. Log Evidence & URLs, 5. Score 5 Core Signals, 6. Prioritize Fixes
Follow the same six-step sequence before and after content sprints so visibility gains are verifiable.
  1. Define the buyer decision, US market, and product line before writing prompts.
  2. Build a defensible 20-to-30-prompt set mixing unbranded discovery, competitor comparisons, and branded fact checks.
  3. Test native memory mode and web-enabled search mode separately where platforms support both.
  4. Capture full evidence: prompt text, date, model, mode, complete answer, named competitors, and cited URLs.
  5. Score five signals: spontaneous mention, shortlist rank, factual accuracy, rival presence, and source quality.
  6. Map each gap to a specific technical, on-page, or third-party fix.

2. Why You Must Split Native and Web-Enabled Answers

Combining a model's offline parametric answer with its live web-search answer hides the most useful diagnostic in an AEO audit.

Vertical diagnostic comparing a model's Native Memory Answer (no search) against its Web-Enabled Answer (live retrieval + citations) to separate training gaps from crawl gaps
Testing search-off and search-on modes separately shows whether a gap lives in model memory or live web retrieval.

If a brand appears in web-enabled mode but disappears in native mode, historical third-party consensus is thin. If it appears in native mode yet disappears in web-enabled mode, check whether OAI-SearchBot or PerplexityBot is blocked or whether pricing specs sit behind JavaScript.

3. Four Common AEO Audit Mistakes to Avoid

Even experienced teams skew their baseline when they skip standard testing controls:

Four common AEO audit mistakes: counting branded echoes as visibility, mixing native and web answers, changing prompt wording across engines, and skipping raw evidence logs
Keep prompt wording identical across models and never count branded prompt replies as spontaneous category visibility.
Audit CheckPass ConditionWhere to Verify
Crawler accessOAI-SearchBot, PerplexityBot, Googlebot return HTTP 200AI Citation Checker & server logs
HTML spec clarityPricing, limits, and integrations visible without JS clicksPage view-source & schema validator
Spontaneous visibilityBrand appears on unbranded category buyer promptsChatGPT Visibility Tracker
Factual accuracyZero wrong pricing tiers or deprecated features in answersBranded prompt log & review sites

Run a fast initial baseline with our AI Search Visibility Audit before scheduling quarterly content updates.

Frequently asked questions

How is an AEO audit different from a GEO audit?

In practice they cover the same core checks: crawler access, plain-HTML extractability, schema, off-site entity consensus, and prompt-level citation logging.

Should branded prompts count toward our visibility score?

No. Branded prompts test factual accuracy and sentiment, whereas only unbranded category and alternative prompts measure spontaneous market visibility.

How often should we run an AEO audit?

Run a full technical and citation audit once per quarter, and re-test your locked 20-to-30-prompt benchmark every 2 to 4 weeks.

Next steps & related pages

Want a baseline visibility check for your brand?

Save the CSV checklist above for manual audits, or request a baseline check on your target US buyer prompt while our automated tracking workspace rolls out.

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