How to Audit Your Brand's AI Visibility in 30 Minutes

You probably check your Google rankings regularly. You might monitor your social media mentions daily. But when was the last time you checked what ChatGPT says about your brand? Or whether Perplexity recommends you when someone asks about your product category? For most companies, the answer is never. This guide changes that.

A comprehensive AI visibility audit does not need to take days or require expensive tools. With a structured approach, you can get a clear picture of your brand's AI presence in about thirty minutes. The goal is to understand three things: whether AI platforms know about your brand, whether they describe your brand accurately, and whether they recommend you when users ask about your category.

Before you start: what you will need

To run this audit, you will need access to the following AI platforms. Most offer free tiers that are sufficient for an initial audit:

• ChatGPT (chat.openai.com) - The most widely used AI assistant
• Perplexity (perplexity.ai) - The leading AI-powered search engine
• Claude (claude.ai) - Anthropic's AI assistant
• Google Gemini (gemini.google.com) - Google's AI platform
• A spreadsheet or document to record your findings

You should also prepare a list of five to ten queries that your target customers would realistically ask when researching products or services in your category. These should include both branded queries (about your company specifically) and category queries (about your product type generally).

Step 1: Test your brand awareness (5 minutes)

Start by testing whether each AI platform knows your brand exists and can describe it accurately. On each platform, ask two simple questions:

1. "What is [Your Brand Name]?" or "Tell me about [Your Brand Name]"
2. "What does [Your Brand Name] do?"

Record the response from each platform. Look for the following:

• Recognition: Does the platform know your brand at all? Some platforms may confuse your brand with a similarly named company or may say they have no information.
• Accuracy: Is the description correct? Are the products, services, and positioning described accurately, or is the information outdated or wrong?
• Completeness: Does the response capture your key differentiators and value propositions, or does it give a generic, surface-level description?

Step 2: Test your category visibility (10 minutes)

This is the most important step. Test whether AI platforms mention your brand when users ask about your product category. On each platform, ask your prepared category queries. For example:

• "What are the best [product category] tools?"
• "Which companies offer [specific solution]?"
• "I need a [product type] for [specific use case]. What should I consider?"
• "Compare the top [product category] platforms"

For each query and each platform, record whether your brand appears in the response, where in the response it appears (early mention vs. later), what the AI says about you, and which competitors are mentioned instead of or alongside you.

This step reveals the most actionable insights. If AI platforms consistently recommend your competitors but not you, that is a clear signal that your AEO strategy needs attention. If you appear on some platforms but not others, you can identify which platforms need the most work.

Step 3: Test competitive positioning (5 minutes)

Ask each platform to directly compare your brand with your top competitors. Use queries like:

• "[Your Brand] vs [Competitor]. Which is better?"
• "How does [Your Brand] compare to [Competitor]?"
• "Should I choose [Your Brand] or [Competitor] for [use case]?"

Record how each platform positions you relative to competitors. Look for accuracy in the comparison, whether the AI correctly identifies your strengths and differentiators, and whether it highlights any weaknesses or limitations, whether accurate or not. For brands in competitive spaces like SaaS, ecommerce, or fintech, this comparison step often reveals surprising gaps in how AI platforms understand competitive positioning.

Step 4: Test sentiment and reputation (5 minutes)

Ask each platform about your brand's reputation and customer satisfaction. Use queries like:

• "What do customers think about [Your Brand]?"
• "Are there any common complaints about [Your Brand]?"
• "Is [Your Brand] reliable?"

This step reveals how AI platforms perceive your brand's reputation. The responses are shaped by reviews, forum discussions, news coverage, and other online sources. If the AI surfaces negative sentiment that is outdated or unrepresentative, that is a signal that your online reputation management needs attention.

Step 5: Score and prioritize (5 minutes)

Now compile your findings into a simple scorecard. For each AI platform, rate your brand on the following dimensions:

This scorecard gives you a baseline for each platform. The lowest scores indicate your highest-priority areas for improvement.

What to do with your results

Your audit results will fall into one of four categories, each requiring a different response.

If you are invisible

If AI platforms do not know your brand at all, your first priority is building the foundational signals that AI platforms need to recognize you. This means ensuring your website has clear, structured information about your company and products, that you have a presence on review platforms and industry publications, and that your brand is mentioned in authoritative third-party sources. Refer to our guide on building citation authority for specific tactics.

If you are known but inaccurate

If AI platforms describe your brand inaccurately, focus on correcting the signals that the AI draws on. Update your website content to clearly and specifically describe your current products and positioning. Seek updated coverage in the publications and review sites that influence AI training data. Create content that directly addresses and corrects the inaccuracies you found.

If you are known but not recommended

If AI platforms know about you but do not recommend you for category queries, the issue is usually one of authority or association. You need stronger signals connecting your brand to your product category. This means more third-party validation, more category-specific content, and stronger competitive positioning in the sources that AI platforms draw on.

If you are well-positioned

If your audit shows strong AI visibility across platforms, your priority shifts to monitoring and maintaining that position. AI visibility is not static. It can change as models are updated, competitors improve their presence, and new sources of information emerge. Continuous monitoring ensures you catch any changes early.

From manual audit to continuous monitoring

This 30-minute audit gives you a valuable snapshot, but AI visibility is a moving target. AI models update their knowledge regularly, competitor positions shift, and new platforms emerge. A manual audit every few months is better than nothing, but systematic, continuous monitoring is what separates brands that maintain their AI visibility from those that lose it without realizing.

Platforms like Answered automate the kind of monitoring this audit describes. They systematically track your brand's appearance across AI platforms, alert you to changes, benchmark you against competitors, and provide the data you need to make informed decisions about your AEO strategy. For brands that take AI visibility seriously, this kind of continuous intelligence is quickly becoming as essential as rank tracking is for SEO.

The bottom line

You cannot optimize what you do not measure. This audit is the first step toward understanding and improving your brand's AI visibility. The brands that run this audit regularly, and act on what they find, will have a significant advantage over those that continue to ignore the AI-powered discovery channel that is growing faster than any competitor Google has ever faced.

Take thirty minutes today. Run the audit. See what AI says about your brand. You might be pleasantly surprised. You might be alarmed. Either way, you will know.