Here’s an uncomfortable exercise: open ChatGPT and ask it the question your best customer would ask before buying — “what’s the best [what you sell] for [who you serve]?” Does your brand come up? Is what it says even correct? Most businesses have never checked, which means they have no idea what AI is telling their potential customers about them — good, bad, or wrong.
An AI visibility audit fixes that blind spot. It’s a systematic check of what LLMs actually say about your brand, so you can see where you stand before you try to improve. This guide covers what an audit reveals, the prompts to test, how to read your competitor share of voice, how to fix the gaps, and how AIVA runs it for you. It’s the practical first step in the AI visibility playbook.
What an AI Visibility Audit Reveals
A proper audit answers four questions most businesses can’t currently answer about themselves:
- Whether you appear at all. For the questions your buyers ask AI, does your brand get mentioned — or are you simply absent from the answer?
- How you’re described. When you do appear, is the description accurate and flattering, vague, or outright wrong and outdated?
- Who beats you. Which competitors AI names repeatedly — and on which prompts — showing exactly where you’re losing the answer.
- Where the gaps are. The specific questions and topics where you’re invisible or misrepresented — your priority list for improvement.
Together these give you a baseline: a clear, honest snapshot of your presence in AI answers today. Everything you do to improve is measured against it.
Prompts to Test
The audit is only as good as the prompts you test. Cover the whole buyer journey, from broad discovery to direct brand checks:
- Category & “best X” prompts. “Best [product/service] for [need]” — the discovery questions where buyers look for options and you want to make the shortlist.
- Comparison prompts. “[Your brand] vs [competitor]” and “alternatives to [competitor]” — where buyers weigh you against others.
- Direct brand prompts. “What is [your brand]”, “is [your brand] any good” — checking exactly what AI says when someone asks about you by name.
- Problem-based prompts. The problems your product solves, phrased as a buyer would — “how do I [solve the problem you fix]” — to see if you surface as a solution.
Run each across the major AI tools, and test several phrasings — results vary by wording and by tool, so a single query isn’t a verdict. The goal is a reliable pattern, not one lucky or unlucky answer.
How the Audit Flows
The whole process is a simple, repeatable loop — which is what makes it trackable over time:
Fixing Gaps
An audit is only worth doing if it drives action. Turn the findings into fixes, in priority order:
- Fix inaccuracies first. Wrong or outdated claims about your brand are the most urgent — publish clear, correct information so the record can be set straight over time.
- Win high-value prompts. Target the buyer questions that matter most where you’re absent — create content that directly and credibly answers them.
- Strengthen your entity. Make sure your brand is described clearly and consistently across trusted sources, so AI understands exactly who you are.
- Re-audit and track. Re-run the same prompts periodically to see whether your share of voice is improving and your fixes are landing.
The tactics here — answering questions, building your entity, earning trusted mentions — are the core of GEO explained. The audit tells you where to apply them.
AIVA Audit
AIVA runs this whole audit for you — automatically, across tools and prompts, and continuously — so you always know what AI says about your brand.
Runs the buyer questions that matter across the major AI tools — far more prompts, more consistently, than checking by hand.
Shows how often and how accurately you appear versus competitors — your share of voice as a number you can act on.
Surfaces where AI describes you wrongly or with outdated information, so you know exactly what to correct.
Re-audits automatically so you see whether your visibility is rising — and whether your fixes worked. Explore AIVA.
Frequently Asked Questions
AI visibility audits in 2026
An AI visibility audit is the process of systematically checking what AI tools like ChatGPT say about your brand — whether you appear when buyers ask relevant questions, how accurately you’re described, and how you compare to competitors. It gives you a clear baseline of your presence in AI answers so you know what to improve.
Ask it the questions your customers would ask — things like “best [product] for [need]” or “is [your brand] any good” — and record the answers. Repeat across the major AI tools and across many prompts to build a reliable picture of whether and how your brand shows up, rather than judging from a single query.
Test the prompts real buyers use: category and comparison questions (“best X for Y”, “X vs Y”), direct brand questions (“what is [brand]”, “is [brand] good”), and problem-based questions your product solves. Cover the full journey from broad discovery to specific brand checks so you see where you appear and where you don’t.
Regularly — because AI models and their answers change over time. A periodic re-audit of the same core prompts lets you track whether your share of voice is improving, catch new inaccuracies, and see the effect of your optimization work, the same way you’d monitor search rankings.
Inaccuracies are common and worth fixing. You can’t edit the AI directly, but you can influence it by publishing clear, correct, well-structured information about your brand and ensuring it’s described consistently across trusted sources. Over time, as models retrain and retrieve updated content, accurate information is more likely to be reflected.
The Takeaway
AI is already telling your potential customers something about your brand — an audit is simply finding out what. Test the prompts real buyers ask across the major AI tools, note where you appear, how accurately you’re described, and who beats you, then turn the gaps into a prioritized fix list and re-audit to track progress. It’s the honest baseline every AI-visibility effort should start from — and AIVA runs the whole loop for you, continuously, so you’re never in the dark about what AI says.
Find Out What AI Says About You
AIVA audits your brand across AI tools and prompts, scores your share of voice, flags inaccuracies, and tracks it over time — so you always know, and can improve, what LLMs say about you.
Related Guides
Sources: audit-method and share-of-voice framing aggregated from provider documentation and 2026 research on generative engine optimization. Guidance is directional; AI answers vary by tool, phrasing, and time, and change as models update — treat audit results as a pattern to track, not a fixed score. Prometrix builds AIVA.