How to Run an AI Visibility Audit in Under 30 Minutes

Ask five major AI systems five targeted questions about yourself. Score each response on recognition, accuracy, and positioning. You will know exactly where you stand in under 30 minutes.

4 min read

Why Does Your AI Visibility Score Matter Right Now?

AI systems are becoming the primary discovery channel for expertise. If ChatGPT does not know you exist, the clients it advises will never find you.

Most experts have never asked an AI system about themselves. When they finally do, the result is almost always a surprise. Either the system draws a complete blank, or it surfaces information that is outdated, incomplete, or factually wrong. This is not a technical curiosity. ChatGPT, Perplexity, Claude, and Gemini are now the first place a growing segment of buyers goes when they need to identify a trusted expert. That behavior is accelerating. A buyer who asks an AI who the best consultant in their space is will act on that answer. If your name is not in it, you are not in the running. According to research by Erlin.ai, only 16% of brands currently measure their AI visibility in any systematic way. The remaining 84% are flying blind. That gap is not neutral. The experts who measure and act are already pulling ahead, and the compounding effects make the gap harder to close with every passing month.

Which Five Questions Should You Ask AI Systems About Yourself?

Five questions cover every critical dimension of AI visibility: existence, accuracy, company knowledge, service clarity, and expert recommendation status.

Open ChatGPT, Claude, Perplexity, Gemini, and at least one other AI system. Run each of these five questions in each system. Write down the answers. 1. "Who is [your full name]?" 2. "Who are the leading experts in [your specific field]?" 3. "What company does [your name] run?" 4. "What services does [your company] offer?" 5. "Who would you recommend for [your core specialty]?" The sequence is intentional. Question one tests whether you exist in the model's knowledge at all. Questions two and five test positioning: are you mentioned as a go-to expert or left out entirely? Questions three and four test accuracy: does the AI have correct, current information about what you actually do? Run every question in every system. Answers vary significantly between models. Being well-represented in ChatGPT and invisible in Perplexity is a real and common scenario, and Perplexity is used heavily for research-based queries.

How Do You Score Your AI Visibility Results?

Score every AI response on three dimensions: recognition, accuracy, and positioning. Each dimension reveals a different gap and points to a different fix.

Once you have the raw answers, evaluate each response on three dimensions. **Recognition:** Does the AI acknowledge that you exist? A blank result or a confused response with someone else's information scores zero. A brief, accurate mention scores one. Being cited with substantive detail scores two. **Accuracy:** Is the information factually correct? Check company name, role, services, and any claims the AI makes about your work. One factual error drops the score. Multiple errors indicate a structural problem with how your information is published across the web. **Positioning:** Are you mentioned proactively as a recommended expert, or only when specifically named? Being recommended without prompting is the highest-value outcome. Being mentioned but not recommended is a middle ground. Being absent from unprompted expert lists is a clear signal to act. Total the scores across all five systems. Patterns emerge fast. Experts who maintain comprehensive, well-structured websites with consistent information across sources consistently outscore those who rely on social media profiles or fragmented web presence.

What Action Plan Follows a Low AI Visibility Score?

Four actions close the most common AI visibility gaps: fill information voids, add structured data, enforce consistency across all digital touchpoints, and publish regular expert content.

The audit output is not a report. It is a prioritized fix list. **Fill information voids.** If AI systems do not know you exist, there is not enough publicly available, consistently structured information about you. A professional website with a clear about page, a services page, and published expertise is the foundation. Social profiles alone do not cut it. **Add structured data.** Schema markup on your website tells AI crawlers exactly who you are, what you do, and what your credentials are. This is technical but not complicated. Most website platforms support it natively. **Enforce consistency.** AI systems cross-reference multiple sources. If your company name appears three different ways across LinkedIn, your website, and business directories, accuracy scores drop. Audit every profile and standardize. **Build topical authority through regular expert content.** AI systems learn which experts belong in which conversations based on what they consistently publish. A blog post or video series that addresses the specific questions your ideal clients ask builds that association over time. The experts who act on this now are building a compounding advantage. Erlin.ai's research shows a 3-5x citation advantage within six months for those who measure and respond. That gap does not stay flat. It grows.

Frequently Asked Questions

How long does an AI visibility audit take?

A complete audit takes under 30 minutes. Open five AI systems, ask five questions in each, and score the results on recognition, accuracy, and positioning. The patterns are obvious within the first few responses. The audit does not require tools or technical knowledge, just the discipline to actually run it.

Which AI systems should I include in my visibility audit?

Include ChatGPT, Claude, Perplexity, Gemini, and at least one regional or specialized system relevant to your market. Each system has different training data and update cycles. Being visible in one and absent in another is common and actionable. Perplexity is especially important for research-intent queries.

Why are experts with only social media profiles nearly invisible to AI?

AI systems prioritize structured, consistent information from authoritative web sources. Social media profiles are fragmented, inconsistently formatted, and often deprioritized in training data. A comprehensive website with clear structure, schema markup, and consistent expert content creates the type of signal AI systems use to build accurate representations of who you are.

How quickly can I improve my AI visibility after running the audit?

Structural fixes like adding schema markup and standardizing your information across platforms can take effect within weeks. Building topical authority through consistent expert content takes longer but compounds over time. Research from Erlin.ai shows a 3-5x citation advantage is achievable within six months for experts who measure and act systematically.

Is AI visibility the same as SEO?

They overlap but are not the same. Traditional SEO optimizes for search engine ranking pages. AI visibility optimizes for how language models represent and recommend you. Structured data, content consistency, and topical authority matter in both, but AI systems weight them differently and do not rely on link-based ranking signals the same way search engines do.

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Discussion

The audit I described takes 30 minutes and tells you exactly where AI systems place you right now. Have you tested how AI actually describes you, and what did you find?

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