By Mehdi HassanWhich AI visibility tool is best?
No single AI visibility tool is best for everyone. The right choice depends on how many prompts you need to track, which assistants matter to your buyers, and which SEO platform you already pay for. For a team on Ahrefs or Semrush, the built-in AI features are the sensible first step. For a small team that wants dedicated prompt tracking, a focused tool such as Peec fits. For a large brand reporting across markets, an enterprise platform such as Profound fits. For an early startup, a spreadsheet is often enough.
This review sits in our hub on getting your brand recommended by ChatGPT. It compares approaches rather than prices, because plan names and prices in this category change every few months. Check each vendor's current plan page before you buy.
What do AI visibility tools actually measure?
AI visibility tools measure how often, and how, your brand appears in answers from assistants such as ChatGPT, Perplexity, Gemini and Google's AI features. Most run a set of prompts on a schedule, record the answers and report a few core metrics.
- Mention rate or visibility: the share of tracked prompts where your brand appears.
- Position: where in the answer you appear, first-named or buried in a list.
- Share of voice: your mentions compared with competitors across the same prompts.
- Sentiment and description: how the answer characterizes you.
- Cited sources: which URLs the assistant used, yours and third parties'.
The cited sources report is the most actionable of these. It tells you which of your pages to improve and which third-party sites to earn mentions on. The others tell you whether it's working. The concepts behind the metrics are explained in measuring AI search visibility.
How do Profound, Peec, Ahrefs Brand Radar and Semrush compare?
They differ mainly in who they're built for and where the prompts come from. Dedicated tools like Profound and Peec track prompts you define, in depth. Ahrefs Brand Radar and Semrush's AI features add AI visibility to an SEO platform you may already use, which makes them easier to adopt and compare against search data.
Tool | Built for | Strength | Trade-off |
|---|---|---|---|
Profound | Enterprise brands and large marketing teams | Depth of tracking and reporting across assistants and markets | Enterprise-style buying process; more than a startup needs |
Peec | Small to mid-size marketing teams and agencies | Focused prompt tracking, competitor comparison and cited sources | A separate tool to run alongside your SEO platform |
Ahrefs Brand Radar | Teams already on Ahrefs | Brand mentions across AI answers using Ahrefs' own query data, next to SEO data | You're tied to Ahrefs' prompt set and pricing |
Semrush AI features | Teams already on Semrush | AI visibility and brand perception reporting inside the Semrush workflow | Feature set and packaging change often; check the current plan |
Manual spreadsheet | Early startups | Free, flexible, teaches you your own positioning | Time-consuming beyond about 30 prompts; no history automation |
All four vendors update their AI products frequently in 2026, so features you read about in a review, including this one, may have moved. The fair test is a trial on your own prompt list. Run the same 20 prompts through two tools for a month and see which one's cited-sources data you actually act on.
Which AI visibility tracking tool fits your team size?
Pick by the size of your prompt list and the number of people who'll read the reports. A two-person marketing team tracking 25 prompts doesn't need what a global brand tracking thousands of prompts in ten languages needs, and paying for it wastes budget that should go into fixing pages.
Team | Prompts to track | Our pick |
|---|---|---|
Pre-seed or seed startup | 20–30 buyer prompts | Manual monthly audit in a spreadsheet |
Startup already on Ahrefs or Semrush | Up to a few hundred | That platform's AI visibility features |
Small marketing team or agency | Dozens to hundreds, several clients or products | A focused tracker such as Peec |
Enterprise brand | Hundreds to thousands, many markets | An enterprise platform such as Profound |
If you're choosing between Ahrefs and Semrush mainly for AI visibility, choose the one your SEO team already uses daily. The integration with existing keyword and backlink data matters more than small differences in AI reporting. Ahrefs also publishes research in this area, such as its study of brand mentions and AI Overview visibility.
How do you track AI visibility manually without a tool?
Track AI visibility manually by running a fixed prompt list each month in each assistant that matters, and logging the same fields every time. It takes about an hour a month for a typical startup prompt list and gives you the same core data a tool would.
Write 20–30 buyer prompts
Category ("best X for Y"), comparison ("X vs Y"), cost and problem prompts, worded the way prospects speak on sales calls.
Set up the spreadsheet
One row per prompt per month. Columns: assistant, mentioned, position, description, competitors named, cited URLs.
Run in clean sessions
Logged out or a fresh account, with web search on. Run each prompt twice in ChatGPT, once each in Perplexity and Gemini.
Calculate three numbers
Mention rate on category prompts, average position when mentioned, and the count of factual errors.
List the cited sources
Sort third-party URLs by how often they appear. That's your outreach and mention-building list.
When to move from a spreadsheet to a paid tool
Move to a tool when one of three things happens. Your prompt list grows past what one person can run in an hour or two a month. You need to track several products, markets or languages. Or stakeholders want weekly trend charts rather than a monthly table.
Until then, the manual audit has an advantage tools don't: the person running it reads every answer. That's how you notice that ChatGPT describes you with a positioning you dropped last year, or keeps citing one comparison article. Those observations drive the fixes. The step-by-step version is in how to check what ChatGPT says about your company.
What should you do with AI visibility data once you have it?
Use AI visibility data to choose two kinds of work: fixing your own pages and earning mentions on the third-party sources assistants cite. A dashboard that nobody acts on is just another subscription.
- Wrong description or missing facts: rewrite the homepage, pricing and comparison pages so the facts are stated plainly in HTML text.
- Not mentioned for category prompts: work through the cited sources list and earn mentions there. Brand mentions are the new backlinks has the playbook.
- Cited for prompts you don't rank for: that's query fan-out. Query fan-out explained shows how to build on it.
- Cited in AI Overviews without a top-10 ranking: common and growing; see do you need to rank top 10 to appear in AI Overviews.
The context makes acting on the data worthwhile. Ahrefs' study of 75,000 brands found web mentions correlated 0.664 with AI Overview visibility, against 0.218 for backlinks. Visibility is earned off-site as much as on-site, and the cited-sources report is your map.
Are AI visibility tools worth paying for?
They're worth paying for once the manual audit can't keep up and someone owns acting on the results. Before that point, the money does more good spent on the pages and mentions the tool would measure. A tool that reports a low mention rate every month, with no one assigned to change it, is a cost with no return.
