How to Do an AEO Audit (Step by Step)
An AEO audit is a systematic evaluation of how well your website's content performs in AI search engines -- specifically whether your pages are cited in AI-generated answers, whether your content is structured for efficient AI extraction, and where competitors are outperforming you in AI visibility. It is the diagnostic step that precedes any AEO optimization effort.
Why Is an AEO Audit the Starting Point?
You cannot optimize what you have not measured. The Princeton GEO research demonstrated that optimized content can see up to 40% higher visibility in AI-generated responses. But optimization without an audit is guessing. The audit tells you which pages to optimize, which queries to target, and which specific content elements to change.
OtterlyAI data shows that Google AI Overviews now appear on roughly 48% of search queries. For the queries where your target audience searches and an AI Overview appears, your brand is either cited in that overview or it is not. An AEO audit answers that question systematically across your entire query set. Gartner projects a 25% decline in traditional search volume by 2026, giving urgency to the audit process -- the pages you optimize today will compete for citations as traditional search becomes a smaller channel every year.
What Should Your AEO Audit Scope Cover?
Before running any checks, define what you are auditing:
Query set. Select 20 to 50 queries that represent your most commercially valuable search topics. Include brand queries, category definition queries, comparison queries, and high-intent purchase queries.
Platform scope. Audit across at minimum ChatGPT (web search mode), Perplexity, and Google AI Overviews. If your audience uses enterprise tools, add Gemini and Copilot.
Competitor set. Identify 3 to 5 direct competitors whose AI visibility you will benchmark against. Include at least one competitor you know is doing AEO well and one you suspect is not.
Page inventory. List the pages on your site that target the queries in your audit set. This gives you a baseline for assessing whether you have content coverage for each query.
How Do You Measure Current Citation Status?
For each query in your set, check each platform and record:
Is an AI-generated answer triggered? Not all queries trigger AI Overviews on Google or generate sourced responses on ChatGPT. Note which queries do and do not trigger AI answers. Queries that do not trigger AI answers today may trigger them in the future, so track this state.
Is your brand cited? If cited, in what position (first source, second source, etc.)? If not cited, continue to the next step.
Which competitors are cited? Record every competitor domain that appears as a cited source, including domains you did not include in your competitor set -- they may be unexpected threats.
What specific content is cited? Note the page URL and, if possible, the specific content element that appears to have triggered the citation -- a definition, a statistic, a comparison table, a pricing section.
How Do You Diagnose Content Structure Issues?
For the pages on your site that target your audit queries but are not earning citations, perform a structural assessment:
Definition-first opening. Does the page's first paragraph directly answer the target query, or does it start with narrative setup? Rewrite openings that do not deliver the answer in the first 100 words.
Question-based headings. Do your H2 and H3 headings match how users phrase questions about this topic? If your headings are topical labels ("Features," "Pricing") rather than questions ("What features does X offer?" "How much does X cost?"), restructure them.
Extractable data points. Does the page include specific numbers, statistics, or claims that an AI model could extract and cite? Pages without quantitative data are less citable than pages with it.
Source attribution. Are statistics linked to primary sources? AI models weight content with verifiable source attribution higher than content that makes unsupported claims.
Schema markup. Is the page using Article schema, FAQ schema, or HowTo schema? Schema helps AI crawlers understand the structure and purpose of your content.
How Should You Benchmark Against Competitors?
For each query where a competitor is cited and you are not, perform a side-by-side analysis of your page and the cited competitor page:
Content coverage. Does the competitor's page answer questions your page does not? Are they covering subtopics you are missing?
Content depth. Is the competitor's content longer, more detailed, or more specific than yours? Depth matters more for AI citations than it does for traditional SEO.
Content structure. Does the competitor's page present information in a more extractable format -- clearer headings, earlier answers, more structured data?
Authority signals. Does the competitor's page have more external citations, stronger author credentials, or more recent publication dates?
How Do You Build Your Optimization Roadmap?
Convert audit findings into an action plan:
Quick wins (1 to 2 weeks). Pages that have the right content but poor structure. Rewrite opening paragraphs, restructure headings, and add schema markup. These changes can go live quickly and may earn citations within 2 to 4 weeks.
Content gaps (2 to 4 weeks). Queries where you have no page and competitors are cited. Create new content targeting these queries, following the GEO content structure guidelines.
Authority building (3 to 6 months). Queries where your content is structurally sound but lacks the authority to be cited. Build backlinks, earn external citations, add author credentials, and publish original research.
Monitor and iterate. Re-run the audit quarterly. Track citation rate, gap closure rate, and competitor citation share over time. The first audit establishes a baseline. The second audit measures progress. The third audit refines your approach.