LLM visibility tools: what they measure and how to pick one

What LLM visibility means

An LLM, or large language model, is the engine behind assistants such as ChatGPT, Gemini, Claude, Perplexity, DeepSeek and Sarvam. When someone asks one of those assistants a question, the model writes an answer from what it has learned and from pages it can reach. LLM visibility is whether your business appears in that answer, and how it is described.

This is different from search ranking. A search results page lists many links, and you can rank on page two and still get clicks. An AI answer usually names only a few businesses, or sometimes just one. If you are not in that short list, you are invisible for that question.

The same question can also get different answers from different models, and from the same model on different days. For example, a dentist in Leeds might ask ChatGPT for the best emergency dentist in the city and see three practices named, then ask Gemini the same thing and see two different ones. That variation is why a single check is not enough.

What an LLM visibility tool does

A tool in this category asks the models a fixed set of questions that your customers would ask, on a schedule you choose. It runs those questions from a chosen country and in a chosen language, then records every answer in full.

From those answers it builds a report: who was named, how often, in what position, with what description, and which websites the model cited as sources. That last part matters because the cited pages are where you can earn a mention.

Over time, the report shows whether your share of answers is rising or falling, and which competitors are gaining. For example, a wedding photographer in Bristol might see that a rival is named in four of ten questions this month, up from one last month, which is a signal to act.

Vasukai is one example of this kind of tool. It asks the questions on a schedule, shows each answer in full, and lists the websites the assistants cited.

Monitoring versus a one-off check

A one-off check tells you where you stand today. Monitoring tells you whether a change you made worked, and warns you when a competitor appears. Both are useful, but they answer different questions.

Models are updated, new pages get indexed, and reviews arrive. All of that makes answers drift. A weekly check catches the drift early, while a yearly check only tells you that you lost ground after the fact.

Vasukai's free check is the one-off kind. Its paid plans are the monitoring kind, running weekly or daily, so you can see trends rather than a single snapshot.

What to compare between tools

When you compare LLM monitoring tools, look at what they actually cover and what they give you back. The list below covers the points that matter most in practice.

• Which models are covered, and whether that includes the ones your customers use in your country. Sarvam matters in India, for example, while ChatGPT and Google's AI answers matter in most markets.
• Whether questions can be asked in your customers' language and from their location. A tool that only asks in English from the United States will miss how a local model answers a local question.
• Whether you can read each answer in full, not only a score. A number tells you something changed; the full text tells you what to fix.
• Whether the tool lists the sources the models cite. That list is your outreach plan, because getting mentioned on those pages is how you enter the answer.
• Whether it tells you what to fix, and writes the fix for you, or only reports. Reporting alone leaves the hard part to you.
• Price per question and per model, and whether there is a free check before you pay.

A named comparison of specific products lives at best AI visibility tools. Use the checklist above to judge any tool you look at, including the ones listed there.

How to use the results

Start with the questions where a competitor is named and you are not. Those are lost customers, and they are the fastest wins because the question already exists and someone is already answering it.

Read the cited sources for those questions and get your business listed or reviewed on them. If a model keeps citing a local directory or a trade association page, being present there is the direct route into the answer.

Make sure your own site answers each question plainly, with the facts a model would need to describe you correctly. That means clear service pages, a straightforward about page, and FAQs that use the words your customers use.

Check again after a few weeks and keep what worked. The method is set out in more detail in generative engine optimization, which walks through the same loop of check, fix and recheck.

Try it on your own business

The quickest way to understand this category is to run a check on your own business. Vasukai's free AI check asks ChatGPT, Gemini and Google AI Mode about a business like yours and shows who is named. You can start at the free AI visibility checker.

Paid plans check up to nine assistants on a schedule, in your customers' languages, from $19 a month, and write the fixes for you. That includes page copy, FAQs and business descriptions, so you are not left with a report and no next step.