How to Run an AI Visibility Audit: Find and Fix Your Biggest Gaps

An AI visibility audit is a structured review of how your brand appears in AI-generated answers across platforms such as ChatGPT, Google AI Overviews, and Perplexity. It compares your intended positioning with actual mentions, competitor visibility, cited sources, and inaccuracies so you can prioritise the gaps that matter commercially.

Buyers increasingly use AI platforms to research problems, compare providers and create shortlists. If your brand is absent—or described inaccurately—you may lose consideration before a potential customer ever visits your website.

An AI visibility audit helps you understand where this happens. It examines whether your brand appears for commercially relevant questions, how AI platforms position it, which competitors receive more attention and which sources are being cited.

The goal is not to collect as many AI mentions as possible. It is to find the visibility gaps that could influence how the right buyers discover and evaluate your brand.

This guide explains how to run an AI visibility audit in six practical steps.

What is an AI visibility audit?

An AI visibility audit is a structured review of how your brand appears in AI-generated answers across platforms such as ChatGPT, Google AI Overviews and Perplexity.

It compares:

• What you want your brand to be known for
• What your target audience asks AI platforms
• Whether and how your brand appears in the answers
• Which competitors are mentioned instead
• Which sources influence those answers

A traditional SEO audit mostly examines your website, rankings and technical performance. An AI visibility audit looks beyond your own domain. AI systems can form answers using your website, third-party publications, review platforms, directories, forums and other sources.

That means a brand can rank well in Google but still have weak AI visibility. It can also be mentioned regularly while being associated with the wrong audience, category or qualities.

AI visibility metrics are directional, not absolute. Answers can change between platforms, users, locations and prompts. Use the audit to identify repeated patterns and compare progress over time—not to calculate one supposedly exact visibility score.

1. Define what your brand should be known for

Start by defining the position you want AI platforms to understand. Without this baseline, you cannot decide whether an answer is accurate or whether a missing mention matters.

List the entities connected to your brand:

• Company name and common variations
• Products and services
• Proprietary methods or frameworks
• Founders and subject-matter experts
• Relevant sub-brands or product names

Then define the topics, audiences and qualities each entity should be associated with.

For example, a cybersecurity company may want to be known as:

• An MDR provider for European manufacturers
• A specialist in regulated environments
• A provider of 24/7 managed security
• A strong alternative for mid-market companies

Avoid vague qualities such as “innovative” or “high-quality.” Specific associations are easier to test and more useful to buyers.

Use positioning documents, customer interviews, sales calls, win-loss analysis and search data to validate what actually matters to your ideal customers.

2. Build a representative set of AI prompts

Your audit is only as useful as the questions you test. Random prompts produce random insights.

Create a set of 20 to 50 questions based on how buyers research your category. Cover different stages of the buying journey:

• Problem prompts: “How can manufacturers improve their cybersecurity monitoring?”
• Category prompts: “What is managed detection and response?”
• Recommendation prompts: “What are the best MDR providers in Europe?”
• Comparison prompts: “Provider A vs Provider B for a mid-market manufacturer”
• Trust prompts: “Which cybersecurity providers are suitable for regulated companies?”
• Branded prompts: “What is [brand] known for?” or “Is [brand] a good fit for manufacturers?”

Prioritize prompts connected to real commercial decisions. A mention for a broad educational question may be less valuable than inclusion in an answer that helps a buyer compare providers.

Use the same core prompt set for your brand and three to five genuine competitors. Keep the wording consistent so the results are easier to compare.

3. Test the prompts across relevant AI platforms

Run the prompt set across the platforms your audience is likely to use. This may include:

• ChatGPT
• Google AI Overviews or AI Mode
• Perplexity
• Microsoft Copilot
• Gemini

For every answer, record:

• Whether your brand is mentioned
• Which competitors are mentioned
• Where each brand appears in the answer
• How your brand is described
• Which sources are cited
• Whether your own website is used as a source
• Whether the answer contains outdated or incorrect information

Do not draw a conclusion from one answer. AI outputs can vary, so repeat high-priority prompts and look for consistent patterns across platforms and test moments.

You can run the audit manually in a spreadsheet or use an AI visibility platform to monitor a larger prompt set. A tool can save time, but it does not decide whether a prompt is commercially relevant or whether a mention supports your positioning. Human interpretation remains essential.

4. Identify the six AI visibility gaps

Organize your findings into six gap types. This turns a collection of AI answers into a useful diagnosis.

1. AI visibility gap: competitors appear where you do not

Competitors are mentioned or recommended for relevant prompts while your brand is absent.

• Why it matters: Buyers cannot consider a provider they never encounter.
• Example: AI platforms consistently recommend three competing agencies for “B2B Webflow agencies,” while your agency is not included.

2. Narrative gap: AI platforms describe you incorrectly

AI-generated answers associate your brand with the wrong category, audience, capabilities or position.

• Why it matters: A mention has limited value when it creates the wrong impression.
• Example: Your company now serves enterprise teams, but AI answers still describe it as an affordable option for startups.

3. Topic gap: your brand lacks an important association

Your brand is not connected to a problem, use case or subject that matters to your target audience.

• Why it matters: Buyers often begin with a problem rather than a company name. Missing the topic means missing the early stages of consideration.
• Example: Your platform supports international website governance, but AI answers never associate it with multilingual marketing operations.

4. Content gap: your sources do not answer the question clearly

Your website lacks a page, format or clear passage that can support a useful AI answer.

• Why it matters: AI platforms need accessible, specific information to understand and cite your expertise.
• Example: Competitors publish detailed comparison pages and implementation guides, while your website only contains short service descriptions.

5. Third-party source gap: external sources exclude your brand

The publications, directories, reviews and communities cited in AI answers mention competitors but not you.

• Why it matters: AI visibility is not created by your website alone. Independent sources can strongly influence which brands are recognized and recommended.
• Example: A frequently cited industry shortlist includes your three main competitors but omits your company.

6. Demand gap: valuable prompts exist, but you do not capture them

Buyers show meaningful interest in a question related to your offer, but your brand has little or no AI visibility for it.

• Why it matters: This connects AI visibility to potential demand rather than mentions alone.
• Example: Prospects frequently ask how to measure visibility in ChatGPT, but your brand does not appear in answers and has no content explaining its approach.

The topic gap and demand gap are related but not identical. A topic may fit your positioning without attracting meaningful buyer interest. A demand gap exists when evidence from search behaviour, sales conversations or customer research suggests the question matters commercially.

5. Prioritize the gaps worth fixing

An AI visibility audit will usually reveal more gaps than your team can address at once. Score each finding from 1 to 5 on the following criteria:

Prioritize gaps with strong evidence, high commercial relevance and clear strategic value. Keep effort as a separate decision factor rather than hiding it inside a precise-looking formula.

A missing mention in a broad informational answer may be low priority. Being absent from repeated “best provider” prompts—or being described incorrectly in branded answers—usually deserves faster action.

6. Turn the AI visibility audit into action

Assign each priority gap to one of three action types:

Every action needs an owner, deadline and success measure. Separate leading indicators from business outcomes.

Leading indicators

• Share of relevant prompts in which your brand appears
• Accuracy of brand descriptions
• Position and prominence within answers
• Citations from your website
• Mentions in frequently cited third-party sources

Business indicators

• Qualified referral traffic from AI platforms
• Growth in branded searches
• Self-reported discovery through AI
• Influenced opportunities and pipeline

Repeat the priority prompt set quarterly. More frequent monitoring may be useful for important launches or rapidly changing categories, but weekly fluctuations should not distract you from the longer-term pattern.

A simple AI visibility audit template

Use one table to keep the findings comparable and actionable:

Record the date of every test and keep evidence such as answer links or screenshots where possible. This makes it easier to distinguish a repeated visibility problem from a single variable response.

An AI visibility audit should improve decisions, not just scores

A useful AI visibility audit should leave your team with three things: a clear picture of how AI platforms currently understand your brand, a ranked list of the gaps that matter and a manageable action plan for the next quarter.

The aim is not to appear in every possible answer. It is to become more visible and accurately represented when the right buyers ask commercially relevant questions.

At Overflow Agency, we connect these insights to brand positioning, website content and AI-search strategy. That turns the audit into a practical roadmap for improving how your company is discovered, understood and considered.

1. Ahrefs; AI Visibility Audit: How to Measure Your Brand's Presence in AI Search; Read the original source.
2. Rebekah Bek; Ahrefs Brand Radar Methodology: How we collect and model AI visibility data; Ahrefs; Read the original source.
3. Ahrefs Help Center; AI Visibility Metrics; updated 26 June 2026; Read the original source.
4. Google Search Central; Optimizing your website for generative AI features on Google Search; Read the original source.