An AI search visibility audit helps you understand whether your website is discoverable, whether its information is being referenced in AI answers, and which improvements deserve attention. It is a measurement process, not a way to guarantee that a particular model will recommend your business.
Start with evidence you can repeat: technical checks, query and page data, a fixed set of customer questions, and any citation reports available for your site. Record the date and method for each observation so you can compare the next audit with the same baseline.
1. Define the audit around your customers
Write down the products or services you want to be found for, the customers you serve, and the markets where you operate. Create a focused list of questions customers might ask when they are learning about a problem, comparing approaches, or choosing a provider. Include relevant brand and non-brand questions, and remove topics that do not fit the business.
Keep the list small enough to review consistently. Save the exact wording, AI platform, market or language setting, and date. AI answers can vary between runs, so a saved sample is a snapshot rather than a complete record of every answer users receive.
2. Check whether important pages are accessible
Review the pages that explain your services, products, pricing or process, locations, and customer support. Confirm that they load, work on mobile, and are not accidentally blocked from crawling or indexing. Check page titles, headings, internal links, canonical URLs, and the visible content a search crawler can access.
Make sure the pages clearly identify what the business does, who each offer is for, where it is available, and which conditions apply. Support factual claims with current, trustworthy evidence. Clear information helps people evaluate your offer and gives search systems less ambiguity to resolve.
For Google AI features, its guidance says the same SEO fundamentals remain relevant and that there are no additional technical requirements for appearing in AI Overviews or AI Mode. Eligibility does not guarantee that a page will be crawled, indexed, or shown. Read Google's AI features guidance.
3. Establish a traditional search baseline
In Google Search Console, review the queries and pages related to your chosen topics. Record clicks, impressions, click-through rate, and average position over a defined period. Compare similar date ranges and inspect query and page dimensions together.
Look for relevant queries with impressions but few clicks, pages whose visibility is changing, and searches that lead to a page that does not answer the likely customer need. Average position is an aggregate Search Console measure; it is not a fixed rank every searcher sees. Search Console also reports Google AI feature traffic in its overall Web performance data. As of 2026, Google has introduced a dedicated generative AI performance report for eligible properties; check Search Console to see which reports are available to your site. Google's report announcement.
4. Check how AI answers represent your business
Run your saved questions on the AI search experiences your customers use. For each result, record whether the answer mentions your business, links to your site, accurately describes your offer, and cites pages that support its statements. Note which other sources appear too. Save the answer or a short observation with the platform and date, following the service's terms and your organization's data policies.
When a platform provides its own reporting, use it alongside your manual sample. Bing Webmaster Tools' AI Performance reporting provides citation and page insights across supported Microsoft AI experiences. Microsoft says citation data indicates that a page was referenced; it does not establish page ranking, authority, or placement in a specific answer. Bing Webmaster Tools: AI Performance.
Do not combine a mention, a link citation, a search impression, and a website visit into one visibility score unless you define exactly what that score means. These observations describe different events.
5. Identify the page and evidence gaps
For each important question where your business is absent, unclear, or inaccurately described, check whether you have a page that directly answers it. Ask whether the relevant facts are easy to find, whether a different page is a better destination, and whether the claim is supported by approved information.
Prioritize gaps that align with customer needs and business goals. A missing, thin, outdated, or confusing page may deserve attention; an unrelated trend is not a content opportunity simply because it appears in an AI answer. Update a useful existing page when that is the clearest fix, and create a new page only when it serves a distinct need.
6. Turn findings into reviewed actions
For every proposed change, save the question or query, affected URL, evidence, recommended update, supporting business facts, owner, and review date. Have a person check the draft for accuracy, usefulness, and audience fit before publishing. Do not invent product capabilities, credentials, locations, customer results, or guarantees to make a page sound more authoritative.
After publishing, record the release date and revisit the same Search Console periods and AI question sample. Allow for reporting delays and normal answer variation. If analytics or CRM conversion tracking is configured, review those outcomes separately. A change in visibility or citations alone does not prove that the change caused more leads or revenue.
A repeatable audit checklist
- Choose the business topics, audiences, and markets in scope.
- Save a consistent set of customer questions and the AI platforms checked.
- Check crawl access and the clarity of important pages.
- Record Search Console query and page metrics for comparable periods.
- Record AI mentions, citations, cited URLs, and accuracy observations.
- Prioritize evidence-backed content and technical gaps.
- Review changes, record publish dates, and measure again.
An audit is useful when it gives your team a credible baseline and a clear next action. It cannot promise a position, citation, recommendation, or business result. Treat each finding as evidence to review, then measure what changes over time.
Primary sources: Google Search Central: AI features and your website · Google Search Central: generative AI performance reports · Bing Webmaster Tools: AI Performance.