People increasingly ask AI assistants like ChatGPT, Gemini and Claude for answers to their questions — including when they are choosing a product or a supplier. Whether your brand shows up in those answers is becoming a new factor in whether you get found at all. But how do you find out if ChatGPT recommends your company? A category of tools has appeared to answer exactly that. This field, usually called AI search visibility analytics, needs a different approach from traditional web monitoring.
This article covers why the old methods don't work here, what a serious tool has to do, and how the notable options compare — so you can pick the right way to track your brand's mentions in ChatGPT.
Why traditional mention monitoring doesn't work for AI assistants
Familiar monitoring tools like Brand24 or Google Alerts scan public sources: news sites, blogs, social networks and forums. Their job is to find text matches for your brand name on public web pages. AI assistants work nothing like that.
A ChatGPT answer is not a static web page. It is generated in real time, for one specific user, inside a private session. There is no public archive or feed of answers to index. Every answer is unique and depends on how the question was worded, what came earlier in the conversation, and what the model could reach at the moment it answered.
So tracking mentions needs a fundamentally different mechanism: a system that can send thousands of targeted questions to the language models automatically, then analyse what comes back. That is the problem the new specialist tools exist to solve.
What an AI visibility tool actually needs to do
A few capabilities separate a serious tool from a checkbox feature.
- Query simulation: the tool should automatically ask the models (ChatGPT, Gemini and others) hundreds or thousands of the questions your potential customers actually ask. For example: "what's the best CRM for a small business?" or "compare email marketing services".
- Answer analysis: it should record more than the fact of a mention. In what context was the brand named — positive, negative, neutral? Was it named alongside competitors?
- Source tracking: one of the most important functions. When an AI mentions your brand, a good tool shows which pages (URLs) it cited or drew on. That is what tells you which of your content is influencing the model, and what to improve.
- Share of Voice: the tool should measure how often your brand appears across a defined set of questions compared with competitors. This metric — the analogue of impression share in traditional search — is the key KPI in AI visibility work.
- Reporting and alerts: dashboards that show how mentions move over time, and automatic alerts when new mentions appear or when a mention turns negative.
Comparing the notable tools
The market is moving quickly. Here are several visible players and what separates them.
| Capability | Semrush / Ahrefs | Otterly.AI / Peec AI | honestwriter.ai |
|---|---|---|---|
| Main focus | SEO, with AI features added | AI visibility only | AI visibility + content creation |
| Mention tracking | Yes | Yes | Yes |
| Competitor analysis | Yes | Yes | Yes |
| Source tracking | Yes | Yes | Yes |
| Helps create content | No | No | Yes (autopilot) |
| Best for | Teams already inside that ecosystem | Marketers who want clean monitoring | Teams who want to influence AI answers, not just watch them |
Semrush and Ahrefs The SEO incumbents are steadily adding AI answer analysis to their platforms. Their advantage is that it arrives inside a toolset you already use. If you are already in Semrush for keyword work or Ahrefs for backlinks, a new tab is a convenient addition. It is not their main focus yet, though, and the depth can trail the specialists.
Otterly.AI and Peec AI These are focused startups built entirely around AI visibility analytics. They offer deep analysis, developed dashboards and detailed mention tracking across thousands of queries. If your job is to get an accurate read on where you stand and monitor it over time, they are a strong fit.
honestwriter.ai This platform joins the analytics to the action. Like the specialist tools, honestwriter.ai tracks mentions, measures share of voice and identifies the sources the models lean on. What differs is the built-in content engine. Rather than only reporting that the models name your competitors for "best tool for X", it helps you publish the article on your own site that stands a real chance of becoming a source for future answers. That turns visibility work from passive monitoring into something you can act on.
How to choose: three steps
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Decide what you actually want. Is monitoring enough — watching your reputation and reacting to it? Or do you want to work deliberately at making your brand appear more often in AI answers? The first is served by classic trackers; the second by tools that connect the analytics to content.
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Size the tracking. How many questions and competitors do you plan to follow? Most tools price on the volume of simulated queries. Start with a small pool of your most commercially important questions and judge the tool on those.
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Think about the workflow. Do you want a separate analytics tool whose findings you hand to the content team by hand? Or one place where you see the visibility gap and commission the content to close it? The answer will decide your shortlist more than any feature comparison.
Frequently asked questions
Can you track ChatGPT mentions for free? Not systematically, and not at volume. You can ask the models questions by hand and read the answers, but that does not scale and is not accurate. Automated tools charge because they carry a real cost: thousands of API calls to the language models. Some platforms offer limited free trials.
Do mentions in ChatGPT differ from Gemini? Yes, substantially. The models are trained on different data, use different algorithms, and may reach different sources for real-time information. A reliable tool should let you track visibility in several major assistants separately.
How often should you check? For most brands, weekly or fortnightly tracking is enough to see trends and judge whether a content strategy is working. During a major campaign launch, or through a reputation problem, daily monitoring may be warranted. Most tools automate the schedule either way.
Tracking mentions in AI answers is a new discipline, and already a hard one for marketing teams to skip. Which tool is right depends on whether you want to hear what the models say about you, or take part in the conversation.
If your aim is not only to measure visibility but to increase it systematically, a platform that joins the data to the writing is likely the more effective answer. See how honestwriter.ai connects visibility data to an autopilot for content, so your brand comes up more often in AI answers.