What Is an AI Visibility Audit?

What an AI Visibility Audit actually checks

An AI Visibility Audit is a structured assessment that measures how often — and how accurately — your business appears when people ask AI tools like ChatGPT, Gemini, and Perplexity questions relevant to your industry, location, and services.

Unlike a traditional SEO audit that checks your Google rankings, an AI Visibility Audit queries the AI platforms directly with the same questions your potential customers are asking. It then analyses the responses to determine whether your business is being mentioned, whether the information is accurate, and what factors are helping or hurting your presence.

Why it matters now

Consumer behaviour is shifting. Instead of searching "best accountant near me" on Google and clicking through ten results, a growing number of people are asking ChatGPT or Perplexity the same question and acting on the first recommendation they receive.

If your business isn't appearing in those AI-generated responses, you're invisible to that entire audience — regardless of how well you rank on Google. An AI Visibility Audit tells you exactly where you stand in this new channel.

What the audit measures

A thorough AI Visibility Audit typically covers:

• Mention frequency — How often your business appears in AI responses across different platforms when relevant queries are asked
• Accuracy — Whether the information AI shares about your business (services, location, contact details) is correct
• Sentiment — Whether AI tools describe your business positively, neutrally, or negatively
• Competitor comparison — Which competitors appear instead of you, and how often
• Query coverage — How many of the queries your target customers ask actually trigger a mention of your business
• Platform differences — How your visibility varies between ChatGPT, Gemini, Perplexity, and Claude

How it works in practice

The process involves three phases:

1. Query design — Building a set of 20–50 queries that represent what your target customers actually ask. These are based on your industry, services, location, and competitive landscape.
2. Platform testing — Running each query across ChatGPT, Gemini, Perplexity, and Claude. Recording the full response, noting whether your business is mentioned, what competitors appear, and what information is shared.
3. Analysis and scoring — Calculating your overall AI visibility score, identifying patterns, and producing specific recommendations for improvement.

What the results look like

The output is a report showing your AI visibility score as a percentage, broken down by platform and query category. You'll see exactly which queries mention your business, which ones mention competitors instead, and where you have the biggest gaps.

More importantly, the report includes actionable recommendations — the specific changes to your website, content, and online presence that will improve how AI tools perceive and recommend your business.

Who needs one

Any business that depends on being found by customers online should understand their AI visibility. This is especially important for:

• Local service businesses — accountants, lawyers, dentists, tradies — where "best [service] in [suburb]" queries are increasingly asked of AI tools
• Professional services — consultancies, agencies, and specialists who compete on reputation and expertise
• E-commerce businesses — where product recommendations from AI tools drive purchase decisions
• Businesses investing in SEO — who need to understand whether their SEO investment is translating into AI visibility

Common findings

Most businesses discover that:

• Their Google ranking has little correlation with their AI visibility
• AI tools have incomplete or outdated information about their business
• Competitors with better structured data and more consistent online signals are being recommended instead
• Simple technical fixes — like adding Schema markup and allowing AI crawlers — can significantly improve results