People now ask ChatGPT, Gemini and Perplexity for recommendations before they ever open a search results page. OpenAI reported in February 2026 that ChatGPT reached 900 million weekly users, and Google said at its May I/O event that the Gemini app passed 900 million monthly users. A brand can rank well on Google and still be missing from the answers that shape a buyer’s shortlist. That gap is hard to see because AI answers change by platform, by prompt, and by day, and no analytics tag tells you when a model mentions a competitor instead of you.
DViO Digital is a digital-first marketing partner that combines creativity, technology and data, and it built Discovr One to help brands see how AI tools describe them. Drawing on that experience, this guide explains how to track brand visibility across LLMs: what to measure, how to test each platform manually, how an AI visibility platform automates the work, and when it makes sense to bring in a generative engine optimization agency.
Why Brand Visibility in AI Answers Is Hard to Track
Traditional rank tracking does not work in AI search. There is no fixed position one to ten. A model writes a fresh answer each time, may or may not name your brand, and may cite different sources on different days. Tracking brand visibility across LLMs therefore means measuring how often, how accurately and in what context your brand appears, not where it ranks. This shift is why AI discovery has become its own discipline alongside classic SEO.
The platforms also disagree: Averi analysed 680 million AI citations and found that only 11% of domains were cited by both ChatGPT and Perplexity, so doing well on one tells you very little about the other. Results fade quickly too; in a six-week study of 1,127 cited URLs by Digital Authority Partners, only 119 were still cited at the end, meaning a mention you earned last month may be gone today. Mentions and links are different, too. BrightEdge’s AI Catalyst tracker found that ChatGPT names brands about 3.2 times more often than it links to them, so a brand can be recommended without sending a single visit to its website. A traffic report alone will never show the full picture, so you need to read the answers themselves.
What to Measure: Your AI Visibility Score and Core Metrics
Start with four measures that anyone on a marketing team can follow. Mention rate is the share of tested prompts where your brand appears. Citation rate shows how often your website is linked as a source. Sentiment and accuracy check that the description is fair and correct, and share of voice compares your mentions with named competitors.
| Metric | What it tells you | How to log it |
|---|---|---|
| Mention rate | How often your brand appears in answers | Yes or no for each prompt |
| Citation rate | How often your site is linked as a source | Count of answers with a link |
| Sentiment and accuracy | Whether the description is positive and correct | A short note for each answer |
| Share of voice | Your visibility against named competitors | A tally for each brand |
Combined, these give you an AI visibility score you can benchmark and repeat. The exact number matters less than the trend, so keep the method the same every month. If you want a baseline before investing, Discovr One offers a free AI visibility score that shows where you stand across platforms without a long setup.
Split your results by prompt type, because the story changes. A Minuttia study of 24,067 prompts found that Google AI Overviews named a competitor in 49.5% of answers to brand-name searches. If you only test category questions, you may miss the moment where a buyer who already knows your name is nudged towards someone else.
How to Track Brand Visibility in ChatGPT, Gemini and Perplexity
Build a list of 20 to 50 prompts your customers ask. Include category questions, comparison questions, and brand-name questions. Run the same list in ChatGPT, Gemini and Perplexity, and log whether you are mentioned, how you are described, and which sources are cited. Repeat monthly and keep the prompt set fixed so the results stay comparable.
| Platform | What you can see | Practical tip |
|---|---|---|
| Perplexity | Numbered citations shown openly | Best place to see which pages feed answers |
| ChatGPT | Answers vary from run to run | Run each prompt three or more times |
| Gemini | Answers vary, and links may appear without your name | Record mentions and links separately |
Perplexity is the easiest place to start. One 2026 comparison put it at roughly 22 citations per answer, compared with about 10 for ChatGPT, giving you far more material to study. ChatGPT and Gemini need repeated runs because responses vary. Superlines reported that Gemini cited its own site 182 times in 30 days without once naming the brand, a useful reminder to log links and mentions as two separate results.
Make the prompts concrete. For example, a Dubai dental clinic might test “best dental clinic for braces in Dubai” and “compare two named clinics”. Each prompt exposes a different weakness, from being left out of a shortlist to being described with outdated information. Save every answer in a simple spreadsheet so you can see what changed from month to month.
Using an AI Visibility Platform to Track at Scale
Manual testing breaks down once you track many prompts, markets and competitors. An AI visibility platform automates the runs and reports the trend. It handles the repetitive checks, so your team can focus on decisions. Discovr One, from DViO Digital, checks visibility across ChatGPT, Perplexity, Gemini, Copilot, Claude and other AI search engines. You submit your website, business name, target market, and priority keywords, then receive your AI score and a detailed audit with a prioritised roadmap within 24 hours. It is built for marketing teams who need clear KPIs and for owners who want to know what to fix first.
The platform’s own site reports results from client work, including a 340% rise in AI mentions for Excitel Broadband. Treat figures like this as the vendor’s claim, but they show the kind of outcome to ask any provider about. A good platform should also link findings to leads and revenue, not just mention counts.
Running an AI Visibility Audit and Fixing the Gaps
An AI visibility audit turns tracking data into actions. Review your results and look for three patterns, because each needs a different fix. Treat each pattern as a separate to-do list, not one long problem.
- Prompts where you are absent, which usually point to missing content or weak authority.
- Wrong or outdated descriptions, which point to unclear or inconsistent brand information.
- Competitors cited instead of you, which show the sources AI tools currently trust.
Common fixes start with clearer entity signals: a consistent brand name, structured data and a clear About page. This is the core of entity optimisation for AI search because AI tools build a picture of your brand from every place it appears. Add content that answers buyer questions directly, with facts and sources. Academic research on generative engines found that adding statistics and quotations lifted visibility in Perplexity by 37% and 22%, respectively.
This is what LLM visibility optimisation looks like in practice. It is steady rather than dramatic, and you should re-test after each change so you know what helped. Plan for a monthly rhythm of checking and fixing.
When to Work with a GEO or AEO Agency
Tracking shows the problem, and fixing it can need specialist help. A generative engine optimization agency, also called a GEO agency or answer engine optimization agency, handles entity work, structured content and citation building across platforms. The names vary, but the work overlaps, which can make a shortlist confusing.
| Term you may see | What it usually covers |
|---|---|
| AEO agency | Being the direct answer to a question |
| AI SEO agency | Classic SEO plus AI search visibility |
| LLM SEO agency | Visibility inside large language model answers |
| ChatGPT SEO agency | Focus on ChatGPT mentions and citations |
Ask any provider three things before you hire. How do they measure visibility? Which platforms do they test? Can they show examples of tracked results over time? Be wary of anyone who promises a fixed position, since AI answers do not work that way. DViO Digital has developed its own Answer Engine Optimisation framework and works with several AI-powered platforms, which is the kind of tooling depth worth asking about.
AI answers are becoming a first stop for buyers, and they cannot be tracked like rankings. Measure mentions, citations, accuracy and share of voice with a fixed set of prompts, then fix the gaps one at a time and test again. Start by hand if you must, then move to a platform as volume grows. If you want a clear baseline or a partner to act on it, DViO Digital can help you explore your options without the guesswork.
FAQs
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How can I check if my brand appears in ChatGPT, Gemini, and Perplexity?
Start by testing 20 to 50 prompts that reflect the questions your customers ask when researching products, services or brands in your category. Run the same prompts in ChatGPT, Gemini and Perplexity, then record how often your brand appears, how each platform describes it, which competitors are mentioned, and which websites are cited as sources. Look for patterns across the results, including missing brand mentions, inaccurate information, and competitor recommendations.
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What is an AI visibility score and how is it calculated?
An AI visibility score measures how frequently and how accurately your brand appears in AI-generated answers across a defined set of prompts and platforms. The calculation can combine several indicators, including mention rate, citation rate, sentiment, and share of voice. Mention rate tracks how often your brand is named, while citation rate measures how often your website or other relevant sources are referenced.
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Is there a free AI visibility score or audit?
Yes. Discovr One offers a free AI visibility score to help you understand how your brand appears across AI search platforms. You can also request a more detailed audit that examines your visibility, identifies gaps and highlights areas that may need attention.
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How often should I track brand visibility across LLMs?
For most brands, monthly tracking provides a useful starting point. Use the same prompts, AI platforms, and measurement criteria each time so you can compare results over time. Record changes in brand mentions, citations, sentiment and competitor visibility, rather than relying on a single response or score. You may want to check more frequently after a major website update, a new product launch, a change in brand positioning, or a significant content campaign.
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What does a generative engine optimisation agency do?
A generative engine optimisation (GEO) agency helps improve how AI platforms understand, represent and reference a brand in their answers. This can involve clarifying brand information across the web, improving website structure and content, strengthening relevant third-party references, and making key information easier for search engines and AI systems to interpret.
