The best AI visibility tracking tools — and when you need a managed service instead
Ask ChatGPT, Gemini or Perplexity about your category and you get an answer composed on the spot: no ranking to check, no position to report. A class of tools has grown up to watch that layer. They run prompts through the AI engines on a schedule and report whether you are mentioned, how you are described, and which sources the answer was built from. This guide covers the main options and how they differ. It also covers the question no dashboard can answer for you: who is going to act on what the tool finds.
If you want the measurement method itself, the metrics, the baseline, the cadence, that is covered separately in how to measure AI search visibility. This piece is about the buying decision.
The tools worth knowing
Two groups are worth distinguishing: dedicated AI-visibility platforms built for this job from scratch, and AI-tracking modules added to the established SEO suites.
Peec AI is a dedicated AI search analytics platform tracking brand visibility, share of voice and sentiment across ChatGPT, Perplexity and Gemini, with citation data showing which sources feed the answers. It is built for marketing teams and agencies that want a standalone AI-search dashboard.
Profound is a dedicated platform at the enterprise end of the market, tracking how brands appear across the major AI engines with citation analytics and reporting aimed at large brands and the agencies serving them.
Otterly.ai monitors a library of user-defined prompts across ChatGPT, Perplexity and Google’s AI Overviews, reporting brand mentions, link citations and sentiment. It is one of the more accessible entry points, priced within reach of individual marketers and small teams.
Ahrefs Brand Radar is Ahrefs’ AI-visibility module, tracking brand mentions and share of voice in AI Overviews, ChatGPT and Perplexity on top of Ahrefs’ existing web index, which lets you cross-reference AI presence with the backlink and search data you may already use.
Semrush AI Toolkit brings prompt tracking, share of voice and sentiment for engines including ChatGPT into the wider Semrush platform, a natural route for teams that already run their SEO reporting there.
SE Ranking tracks presence and cited sources in Google’s AI Overviews at keyword level inside its rank tracker, with broader AI-visibility tracking across engines packaged into the suite rather than sold as a separate product.
The tools, compared
| Tool | Built for | Profile |
|---|---|---|
| Peec AI | Marketing teams and agencies wanting a dedicated dashboard | Standalone platform; visibility, share of voice, sentiment and citations across ChatGPT, Perplexity and Gemini |
| Profound | Enterprise brands and their agencies | Standalone platform at the enterprise end; citation analytics and reporting at scale |
| Otterly.ai | Individual marketers and small teams | Accessible prompt-based monitoring across ChatGPT, Perplexity and AI Overviews |
| Ahrefs Brand Radar | Teams already on Ahrefs | AI mentions and share of voice layered on Ahrefs’ web index |
| Semrush AI Toolkit | Teams already on Semrush | Prompt tracking, share of voice and sentiment inside the Semrush suite |
| SE Ranking | SEO teams wanting AI tracking without a separate bill | Keyword-level AI Overviews tracking plus AI visibility within the platform |
All six are credible. The differences that matter are engine coverage, how much you can customise the prompts, and whether the data goes down to the citation level. More on that below.
A tool shows you the score, not how to change it
Here is the limit every product on this list shares: a tracking tool observes. It will tell you that you are absent from the answers that matter, that a competitor owns your category’s share of voice, or that an engine is describing you inaccurately and citing a page you have never heard of. What it will not do is fix any of that.
Visibility moves at the source layer, in the pages the engines read. That means entity and structured-data work, content built to be quoted, corroborating third-party coverage, and the technical housekeeping that makes pages easy to crawl and cite. None of it happens inside the dashboard. Which is why the real buying decision is not which tool, but who does the work the tool points to.
Self-serve or managed
Self-serve tooling is the right answer when three things are true. You have an in-house SEO or content team with room in its week to own the cadence. You are tracking a single brand, so the prompt set and the fix list stay manageable. And the budget conversation favours a licence over a retainer.
A managed programme is the right answer when any of these hold instead. There is no in-house search capacity, so the dashboard would be a report nobody acts on. You are a firm, an agency or comms consultancy, responsible for several client brands, where every insight has to become a deliverable in someone else’s name. Or the measurement has to translate into concrete content and technical fixes, and into reporting that survives a client review or a board meeting, not a screenshot of a trend line.
The honest test: if a tool told you tomorrow that your share of answer had halved, who would do something about it, and when? If there is no good answer, the licence fee buys you a well-documented problem.
How to choose a tool
If self-serve is the right model for you, judge the options on five things.
- Engine coverage. Track the engines your audience uses, which usually means ChatGPT, Gemini, Perplexity and Google’s AI Overviews at minimum. Coverage varies by tool and changes often, so check the current list, not the marketing page you read last quarter.
- Prompt customisation. Vendor prompt databases are useful for discovery, but the trend you act on should come from prompts you chose, matching what your buyers actually ask.
- Citation-level data, not just mentions. A mention count tells you the score. Citations tell you which source pages produced it, and therefore where to do the work. Without them you are guessing.
- Competitor benchmarks. Share of voice on the same prompt set, over time, is the closest thing this discipline has to a ranking. Make sure it is there.
- Export and reporting. If the numbers will face a client or a board, check what leaves the tool: exports, scheduled reports, and whether the methodology can be explained to a sceptical audience.
Where Morris McLane fits
Morris McLane is not a software vendor, and this is not a tool. We run managed AI search visibility programmes: a fixed prompt set measured across the engines on a standing cadence, plus the part no tool ships, the source-page fixes that move the numbers, from entity and structured-data work to the content and corroboration the engines draw on, with reporting written for clients and boards. We do this for organisations directly and, white-label, for firms running it across their client brands. If the honest test above came back empty, start here.
Frequently asked questions
What tools can track brand visibility in ChatGPT and other AI engines?
The established options include Peec AI, Profound and Otterly.ai, which are dedicated AI-visibility platforms, and the AI-tracking modules inside the big SEO suites: Ahrefs Brand Radar, the Semrush AI Toolkit and SE Ranking's AI tracking. All of them run prompts through engines such as ChatGPT, Gemini, Perplexity and Google's AI Overviews, then report whether a brand is mentioned, how often it appears against competitors, and which sources the answers cite.
How do AI visibility tracking tools work?
They run a set of prompts, either chosen by you or drawn from the vendor's database, through AI engines on a schedule, then parse the answers. From those they report presence (whether you are mentioned), share of voice against competitors, sentiment, and citations, meaning which pages each engine drew on. Because AI answers vary from run to run, the value comes from tracking the same prompts over time rather than from any single snapshot.
What should I look for when choosing an AI visibility tool?
Five things. Engine coverage: does it track the engines your audience actually uses, not just one or two. Prompt customisation: can you track the questions that matter to your business rather than a generic set. Citation-level data: does it show which source pages drive each answer, not merely whether you were mentioned. Competitor benchmarking on the same prompts. And export and reporting that stands up in front of a client or a board.
How much do AI visibility tools cost?
The range is wide. Entry-level prompt-monitoring tools start at tens of dollars a month, AI modules inside the established SEO suites typically sit in the hundreds, and dedicated enterprise platforms run higher again, usually on annual contracts. The licence is rarely the real cost, though. The time it takes to run the cadence, interpret the data and make the fixes the data points to is where most of the budget actually goes.
Do I need an AI visibility tool or a managed service?
It depends who will act on the data. A tool suits an in-house SEO or content team tracking a single brand, with the time to run the cadence and make the fixes themselves. A managed programme suits organisations with no in-house search capacity, and firms responsible for several client brands, where measurement has to translate into content and technical fixes plus reporting a client will accept. The tool is the scoreboard; the service is the team.
Can an AI visibility tool improve my AI search visibility?
Not by itself. Tracking tools observe and report; they do not change what the engines say. Visibility moves when the source pages the engines read are improved: clearer entity signals, structured and quotable content, corroborating third-party coverage, and technical fixes that make pages easy to crawl and cite. A tool tells you where you stand and whether the work is landing. The work itself happens outside the dashboard.
