---
title: "AI Visibility Audit: How to Audit Your Brand | Brantial"
description: "An AI visibility audit checks whether ChatGPT, Gemini and other AI engines name your brand, how they describe it and which sources they use. Step-by-step guide."
source_url: "https://brantial.ai/blog/how-to-audit-your-brand-s-ai-visibility/"
lang: "en"
updated: "2026-10-20T00:00:00.000Z"
---

Guides December 12, 2025 Updated October 20, 2026

# How to Audit Your Brand’s AI Visibility

An AI visibility audit checks whether ChatGPT, Gemini and other AI engines name your brand, how they describe it and which sources they use. Step-by-step guide.

## Key Takeaways: Auditing Brand AI Visibility

5

- An AI visibility audit is a structured check of whether AI engines name your brand for the questions your customers ask, where they place you, how they describe you and which sources they rely on.
- An audit is a snapshot that finds problems; monitoring repeats the same questions over time to show trends. Start with an audit, then keep monitoring the prompts that matter.
- Run every prompt in a clean session and more than once. Answers change between runs, and your own chat history can change what you see.
- Record the same fields for every answer: named or not, position, accuracy, sentiment, competitors named and sources cited.
- Most findings come back to sources. Missing from the pages engines cite usually means missing from the answer; outdated facts usually trace back to an outdated page.

[Atiye Berika Ertaş Project Coordinator](https://brantial.ai/authors/atiye-berika-ertas/) 8 mins read

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**An AI visibility audit is a structured check of how AI engines talk about your brand.** You ask ChatGPT, Gemini, Perplexity and other assistants the questions your customers ask, then record whether your brand is named, where it appears, how it is described and which sources the answer relied on. The result is a clear list of where you are missing, where you are described wrongly and why.

It answers a question your usual reports cannot. Search Console shows how you appear in Google’s results, but not whether ChatGPT recommends you when someone asks for the best option in your category. That is what this audit is for.

## What is an AI visibility audit?

An AI visibility audit, also called an LLM visibility audit or [AI search](https://brantial.ai/blog/ai-search-how-it-works-and-why-it-matters/) visibility audit, looks at four things across a set of real customer questions:

- **Presence:** does the answer name your brand?
- **Position:** are you recommended first, listed in the middle or mentioned as an afterthought?
- **Accuracy and tone:** are your products, prices and strengths described correctly, and is the tone positive, neutral or negative?
- **Sources:** which pages did the engine use, and are yours among them?

Together, these show not just how visible you are, but why. That second part is what turns an audit into a plan.

## AI visibility audit vs SEO audit

|  | SEO audit | AI visibility audit |
| --- | --- | --- |
| Main question | Can people find our pages in search? | Do AI answers name us, and correctly? |
| What you check | Rankings, crawl errors, page speed, links | Mentions, position, description, sources |
| Unit | Keyword and URL | Prompt, engine and answer |
| Where problems sit | Mostly on your own site | On your site and on third-party pages engines cite |

The two overlap on technical basics: if AI crawlers cannot read your pages, both suffer. But an AI audit spends most of its time outside your site, on the comparisons, reviews and directories that shape the answers.

## What is the difference between an AI visibility audit and AI visibility monitoring?

An **audit** is a one-time, in-depth review. It finds the gaps and errors at a point in time and explains their causes.

**Monitoring** asks the same questions on a schedule, daily or weekly, and tracks the numbers over time. It shows whether your fixes worked and catches changes you would otherwise miss, such as an engine dropping you after a model update.

Most teams need both: an audit to find out where they stand and what to fix, then monitoring on the prompts that matter to see progress. A single audit on its own goes stale quickly, because AI answers keep changing.

## How to run an AI visibility audit, step by step

### 1. Decide the scope

Choose the engines your customers use (for most brands: ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Claude and Copilot), the markets and the languages. A brand selling in two countries needs both languages, because answers in Turkish and English often name different brands.

### 2. Write the prompts

Write 30 to 50 questions real customers would ask, in their words. Cover four types:

- **Category questions:** “What are the best email marketing tools for a small online shop?”
- **Problem questions:** “How can I reduce abandoned carts on my store?”
- **Comparison questions:** “Is [your brand] or [competitor] better for a team of 20?”
- **Brand questions:** “What is [your brand] and how much does it cost?”

Keep brand questions separate in the results. They show whether engines describe you correctly, but they will almost always name you, so they inflate visibility if mixed in. The [prompt-count guide](https://brantial.ai/blog/how-many-prompts-track-ai-visibility/) covers how to size the set.

### 3. Run each prompt cleanly, more than once

Use a logged-out or fresh session with memory and personalization turned off, so your history does not shape the answers. Run each prompt at least three times per engine: answers vary between runs, and one result is not enough to judge.

### 4. Record the same fields for every answer

A simple spreadsheet works. For each prompt, engine and run, record:

| Field | Example |
| --- | --- |
| Brand named? | Yes |
| Position | 3rd of 5 brands |
| Description | ”Affordable, but limited integrations” |
| Accurate? | No: the integrations list is out of date |
| Sentiment | Neutral |
| Competitors named | Brand A (1st), Brand B (2nd) |
| Sources cited | A comparison article, a review site, a forum thread |

### 5. Score the results

Count the share of answers that name you: that is your [AI visibility score](https://brantial.ai/blog/what-is-an-ai-visibility-score-how-is-it-calculated/). Do the same for each competitor on the same prompts. Then look at average position and at how many descriptions contained errors.

### 6. Find the causes in the sources

This is the most useful step. For the answers that left you out, list the sources they cited. Usually a pattern appears: a handful of comparison articles, review sites or community threads that mention your competitors and not you. Those pages are your priority list. [Why ChatGPT recommends competitors](https://brantial.ai/blog/why-chatgpt-recommends-competitors/) explains the most common patterns.

For answers that describe you wrongly, find the page that says so. An old price or a discontinued feature in an answer usually comes from an outdated page, on your site or elsewhere.

### 7. Check that engines can read your site

Confirm that your robots.txt does not block the AI crawlers you want, such as OAI-SearchBot for ChatGPT search, and that your key pages show their content without relying on JavaScript. The [AI crawler guide](https://brantial.ai/blog/ai-crawler-traffic-analysis-how-to-track-llm-crawlers-and-ai-search-bots/) and [JavaScript readability test](https://brantial.ai/blog/can-ai-crawlers-read-javascript-websites/) cover both.

### 8. Prioritize, fix and test again

Rank the gaps by how valuable the question is and how fixable the cause is. After each change, run the same prompts again under the same conditions. If nothing moves after a few weeks, look again at which sources the engine actually uses.

## What AI visibility audits usually find

- **Strong on Google, absent in AI answers.** The brand ranks well, but the comparison pages engines cite do not mention it.
- **Named, but described from old information.** Prices, product names or features from a year or two ago.
- **Visible on one engine, missing on another.** Each engine relies on different sources; see [why AI platforms show different answers](https://brantial.ai/blog/why-ai-platforms-show-different-answers/).
- **Named only when the question names the brand.** Good brand recognition, weak category presence.
- **Pages blocked or unreadable.** A robots.txt rule or a JavaScript-only page keeps engines from using the brand’s own content.

## Manual audit or automated monitoring?

A manual audit is a good way to start and teaches you a lot about how engines answer. It becomes hard to keep up beyond a few dozen prompts: running each one several times on six engines, every week, quickly means thousands of answers to read and record.

Automated monitoring does the repetitive part. A platform like Brantial asks your prompts on each engine on a schedule in a clean environment, records which brands each answer names, where they appear, how they are described and which sources were cited, and keeps the history so you can see trends. Results can also be sent to Looker Studio, Google Sheets or Power BI through the [integrations](https://brantial.ai/integrations/), so AI visibility sits in the same reports as your other marketing data.

Turn your audit into ongoing monitoring

Brantial runs your audit prompts on ChatGPT, Gemini, Claude, Perplexity and other engines on a schedule and shows where you are named, who is named instead and which sources each answer relied on.

[Start monitoring your AI visibility](https://app.brantial.ai/register)

## Frequently asked questions

### How often should I audit my AI visibility?

Run a full audit once, then again every quarter or after major changes such as a rebrand, new product line or site migration. Between audits, monitor your most important prompts weekly or daily.

### How many prompts does an AI visibility audit need?

For one product category in one market, 30 to 50 well-chosen prompts are enough to find the main gaps. Several products, audiences or countries need more, because each one has its own questions.

### Why do I get different answers each time I ask?

AI engines generate a new answer every time and may search different sources. That is why each prompt should be run several times and judged on the pattern, not a single answer.

### Can I audit AI visibility for free?

Yes. Asking your prompts manually in clean sessions and recording the results costs only time. For a quick first read, Brantial’s free [BrandScore](https://brantial.ai/brandscore/) check gives a score for your domain.

### What should I fix first after an audit?

Start with high-value questions where competitors are named and you are not, and work back to the sources those answers cite. Fix factual errors about your brand at the page they come from. Both usually move results faster than general content changes.

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