To check what AI tools say about your brand today, ask several tools the same set of realistic questions, record whether your brand appears, and verify every claim and source they provide. Include ChatGPT, Microsoft Copilot, and other assistants your customers use. Save the exact prompt, date, response, and cited sources: AI answers can change between tools, sessions, and model updates.
This is an AI brand audit, but it is not a single score or a definitive verdict on your reputation. It is a snapshot of how your brand appears in answers to relevant questions. The aim is to understand what prospective customers might see, identify inaccurate or missing information, and improve the evidence available to both people and search systems.
Start with the right question: visibility is not ranking
Traditional SEO often focuses on where a page ranks for a query in search results. AI answer visibility is different. An assistant may name a company, describe its services, compare it with competitors, cite one of its pages, or leave it out entirely. A brand can rank well in search and still not be mentioned in a particular AI answer. It can also appear in an answer without holding a top organic ranking for the prompt’s underlying search terms.
That does not make rankings irrelevant. Search results, indexed pages, and reputable third-party sources can all contribute to the information an AI system retrieves or uses. But a ranking report alone cannot tell you what a customer sees when they ask an assistant, “Which providers should I consider?”
What to check What it tells you What it does not tell you Organic rankings How selected pages perform in search results for tracked queries Whether an AI assistant will mention or recommend your brand AI answer visibility Whether your brand appears in answers to relevant prompts A stable ranking or guaranteed future inclusion Citations and links Which sources an answer points to, when citations are shown Every source or influence behind the generated response Accuracy and framing How the assistant describes your products, audience, and claims Whether every potential buyer sees the same descriptionRun a practical ChatGPT brand check
A useful ChatGPT brand check is repeatable. Avoid asking only, “What do you know about my company?” That can surface general information, but it does not reflect the range of questions customers ask while researching a purchase. Build a small prompt set around your category, audience, and buying process instead.
1. Write prompts that sound like real customer questions
Include a mix of branded and unbranded questions. Branded prompts help you check basic company information. Unbranded prompts show whether your brand surfaces when someone is looking for a solution but has not decided which vendor to choose.
- “What does [Brand] do, and who is it for?” “What are the main alternatives to [Brand] for [specific use case]?” “Which providers help [type of company] solve [problem]?” “How should a team compare tools for [job to be done]?” “What are the limitations or trade-offs of [category or approach]?” “Does [Brand] support [specific feature, integration, location, or service]?”
Be specific about the market and use case where needed. “Best software” is too broad to produce a useful test. A question about a finance team at a 200-person company comparing particular workflows is more informative—if that matches your real audience.
2. Test more than one assistant
Use the same core prompts in ChatGPT, Microsoft Copilot, and other relevant assistants. Where appropriate, include search experiences that generate summaries as well as conversational tools. Keep the wording consistent for your main comparison, then try a few natural variations to see whether phrasing changes the answer.
Record the date, product or mode you used, whether web search or browsing was enabled, and whether you were signed in. AI products can change their features, underlying models, and access to current sources. A “Copilot results” check today may not match a result from last month—or from a different Copilot experience. Treat findings as a dated observation, not a permanent property of the brand.
3. Capture the whole answer, not just the mention
For each test, note whether your brand was named, how it was described, which competitors appeared, and whether the answer included citations or links. Save the full response where your internal policy allows. A brand mention can be positive, neutral, incomplete, or wrong; counting mentions alone can miss the issue that matters most.
Use a simple spreadsheet with columns for prompt, assistant, date, brand mentioned, description accuracy, competitors named, sources cited, and follow-up action. If you rerun a prompt, keep the new observation rather than overwriting the old one. That makes changes visible without implying that one response represents every user’s experience.
How to interpret Copilot results and other AI answers
Look for patterns across several questions and tools. One answer that omits your company is not proof that your brand is invisible. One favorable answer is not proof that you have earned dependable visibility. Repeated appearances in relevant, unbranded prompts are more useful evidence than a single response to a prompt that names your company.
When reviewing Copilot results, check the linked sources as well as the summary. Are they your current product pages, independent reviews, documentation, or old articles? Does the answer make a claim that those sources support? A citation is a useful lead for investigation, not automatic proof that the answer is complete or accurate.
Classify each observation in plain terms:
- Accurate and useful: The assistant explains your offer correctly and connects it to a relevant need. Incomplete: It gets the basics right but misses an important audience, feature, limitation, or distinction. Unsupported: It states a detail you cannot verify in the cited source or your own materials. Outdated: It relies on old pricing, product names, staff information, or service details. Absent: It does not mention you in a prompt where your business would be a credible option.
Do not try to “correct” an answer by repeatedly prompting the assistant with your preferred description. The goal is to diagnose the information environment, not to persuade one session to repeat your marketing copy.
Why AI tools are changing search behavior
People increasingly use conversational interfaces to explore a problem, compare options, and ask follow-up questions in one place. Instead of opening several search results, a buyer may ask an assistant for a shortlist, request a comparison, and then ask what evidence supports a recommendation. The research journey can therefore include both traditional search and AI-generated answers.
This changes where a brand may be discovered and what information shapes a first impression. It does not mean search engines have stopped mattering or that every buyer now uses an AI assistant. Adoption and behavior vary by audience, task, geography, and product. Use customer research, sales conversations, site analytics, and your own tests to understand what is changing for your market rather than assuming one trend applies to everyone.
SEO fundamentals still matter
An AI audit should not replace good SEO. Make sure important pages can be found, understood, and accessed. Keep your site technically sound; use clear page titles and headings; explain products and services in direct language; and make essential information available as text rather than hiding it in images or interactive elements that may be difficult to access.
Build pages that answer genuine customer questions, not pages created to repeat a keyword. A product page should explain what the product does, who it is for, what it supports, and where its limits are. A B2B content strategy comparison page should use fair, verifiable criteria. Useful documentation can clarify integrations and requirements better than vague claims such as “seamless” or “best-in-class.”
These practices support both human readers and systems that process web content. They do not guarantee that an AI tool will quote, cite, or recommend your brand. Avoid vendors or tactics that promise a particular placement in AI answers without evidence and clear limits.
Subject-matter authority needs evidence
AI systems may draw on information from your site and other sources, but publishing more pages is not the same as demonstrating expertise. Make it easy for readers to see who is making a claim, what it is based on, and when it was reviewed. For example, a cybersecurity company explaining a security control should link to relevant documentation, name applicable standards accurately, and distinguish verified capabilities from general guidance.
Useful evidence can include named expert authors, original research with a clear method, product documentation, customer examples published with permission, transparent case studies, and third-party coverage that accurately reflects your work. Keep claims proportional to the proof. If a case study reports a result for one customer under particular conditions, do not present it as a typical outcome unless you have supporting data.
Review important facts regularly: product capabilities, integrations, service areas, leadership, pricing where published, certifications, and customer results. Consistency across your website and reputable external profiles can reduce avoidable confusion. If a claim is wrong in an AI answer, trace it to the sources the answer cites and to the public information available about your brand before deciding what to update.
Keep the audit manageable and repeatable
You do not need to test hundreds of prompts to begin. Choose a small set that covers brand identity, core use cases, category comparisons, and high-value buyer questions. Repeat it on a practical schedule—monthly or quarterly may be a reasonable starting point for many teams—and rerun it after a major product launch, rebrand, or significant site update.
Prioritize follow-up based on business relevance and the severity of the problem. An incorrect statement about a core capability deserves attention before a minor wording variation. A missing mention in a broad, low-intent question may not be a priority. Share the findings with subject-matter experts so marketing does not “fix” a technical description without checking it.
A small but important form mistake
If you use a form to collect audit requests or customer contact details, do not show the error message, “There must be an @ at the beginning.” That instruction is incorrect for a standard email address. The @ symbol separates the mailbox name from the domain; it does not go at the beginning. For example, [email protected] is in the usual format.
Use a clear message such as, “Enter a valid email address, for example [email protected],” and make sure the form accepts valid addresses. This is a small detail, but confusing validation can stop a prospective customer from completing a request. It also illustrates a broader principle of an AI brand audit: check the actual experience and evidence, not just what a tool or internal report claims.
Your first AI brand audit: a short checklist
Choose a set of realistic branded and unbranded customer prompts. Run the same core prompts in ChatGPT, Copilot, and other relevant tools. Record the date, product or mode, prompt, full answer, and citations. Check mentions for accuracy, completeness, currency, and useful context. Investigate the cited pages and other public sources behind any issue. Improve the underlying page or evidence where appropriate, then retest later.The most useful outcome is not a claim that your brand is “visible in AI.” It is a clear record of what assistants said in specific tests, what evidence they appeared to use, and what your team can improve. Pair that snapshot with sound SEO, credible subject-matter expertise, and verifiable claims. That gives you a practical way to monitor AI answers without mistaking one response for a ranking—or a promise.