Best AI Brand Visibility Tools in 2026 (Compared: Peec, Otterly, Profound, Scrunch, and Baarely)

The best AI brand visibility tools in 2026 are Baarely, Peec AI, Otterly, Profound, and Scrunch. Each tracks how AI assistants such as ChatGPT, Claude, and Gemini name your brand, and they differ on three things: how many engines they cover, whether they only monitor or also tell you what to fix, and price. Baarely is the pick if you want the honest unbranded number, a prioritized fix list with paste-ready content, and white-label client reports without enterprise pricing. Profound goes deepest for enterprise and tracks the most engines, Peec is clean low-cost analytics, Otterly is the low-cost breadth pick, and Scrunch adds an agent-content layer. The full table is below, every figure taken from each vendor’s own page as of June 2026.

The number most brands start at

Before the tools, the problem they exist to measure. Across the first 40 brands we have run through Baarely, twelve started at exactly zero unprompted visibility: asked the unbranded category questions their buyers actually use, not one assistant named them. Sixteen of the forty sat at or below a 10 percent unprompted mention rate, and the median first run was around 15 percent. That is our own sample rather than a market-wide study, so read it as a pattern, not a precise industry figure, but it is a consistent and striking one, and it matches what we hear: most brands assume they are present because they tested by asking an assistant "do you know us," and they are not, because buyers never ask that way. (More on that method in how to check if ChatGPT recommends your brand.)

How to judge an AI visibility tool

Most of these products look similar on a landing page. The differences that actually matter when you use one day to day:

• Engines monitored. Which assistants and surfaces it tracks (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and AI Mode, Copilot, and so on), and whether they are included or sold as add-ons.
• Prompt-set size. How many tracked questions you get. Visibility is a rate over a fixed prompt set, so the size of that set caps how trustworthy the number is.
• Citation and source depth. Whether it shows you not just that you were mentioned but which sources the model leaned on, so you know what to go fix.
• Action layer. Whether it only reports, or also tells you exactly what to fix and gives you the content to do it. Monitoring shows the gap; the action layer closes it.
• Competitor tracking. Who appears alongside you, and where you sit relative to them.
• White-label and agency support. For agencies, whether client-facing output carries your brand, and whether it is native or a workaround.
• Pricing transparency. Whether you can see a price without booking a call.
• Monitoring method. Whether it queries model APIs or the real consumer front ends, which can return genuinely different answers.

The 2026 comparison, at a glance

Prices and features are taken from each vendor’s own pages as of June 2026 and change often, so check the live page before quoting a number. Two things worth knowing: Otterly’s help page states it has no native white-label option (it suggests a Looker Studio connector instead), and Profound’s $99 Starter tracks ChatGPT only, with three engines on Growth ($399) and up to ten on Enterprise.

Which one is right for you

These tools are not all chasing the same buyer, so the useful question is which one fits your situation. Here is the routing, starting with where we think most brands and agencies should look first.

Baarely: honest measurement, a clear next step, and white-label without enterprise pricing

If you are a small brand or an agency, this is the one we would point you to first (and yes, it is ours). Baarely is the most direct path from "are we visible in AI" to "here is exactly what to fix," built for teams that want the loop short and the bill small. It measures your unprompted mention rate, the honest unbranded number, across ChatGPT, Claude, and Gemini today, with Google AI Overviews, Perplexity, Copilot, and Grok on the way and any engine you need available on Enterprise. It shows the competitors named in your place, flags where an assistant states something false about you, and then does the part most tools skip. It hands you a prioritized fix list with paste-ready content and re-scans to confirm the change actually moved the number. For agencies, white-label client reports (a branded PDF plus a self-contained HTML companion, in your colors, in English or Polish) are native on the Agency plan at 299 euros per month, well below enterprise pricing, and Starter begins at 29 euros. If your job is to measure honestly, know exactly what to fix, and show a client a branded result next month, this is what we built it for. Start a free trial and run your first scan.

Profound, for enterprise depth

Profound is the most serious platform in the set, and it is honest that this is a different category. It reads AI search through the real consumer front ends rather than model APIs, backs that with real-prompt volume data from consumer panels (it cites a corpus in the billions of prompts), and tracks the widest set of engines here, up to ten on Enterprise. Pricing is public and self-serve from $99 per month, though that Starter tier follows just ChatGPT; three engines come in at $399 (Growth), and the full breadth plus multi-company tracking sits on Enterprise. If you want the richest possible picture and have the budget, it is excellent.

Peec AI, for low-cost analytics

Peec is the funded category leader on the analytics side (Berlin-based, 2,500+ marketing teams, $29m raised), and it shows: a clean visibility-and-benchmarking dashboard, daily tracking, and unlimited seats on every tier, from 85 euros per month. If the job is purely to measure and benchmark AI visibility across markets, Peec does it cleanly. Its standard plans let you pick three of six engines (Claude is Enterprise-only), and white-label client reporting lives on its agency plans.

Otterly, for engine breadth and page audits

Otterly is the breadth pick. It tracks four engines on every plan (ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot), with Google AI Mode, Gemini, and Claude available as paid add-ons, monitors across 50+ countries as if a local user were searching, and adds a GEO URL Audit that scores individual pages on the factors that correlate with getting cited. Pricing is transparent from $29 per month. One thing to know if you are an agency: Otterly’s own help page says it does not currently offer a native white-label option, and points you to a Looker Studio connector for branded dashboards instead. Read the full Baarely vs Otterly comparison.

Scrunch, for monitoring plus agent content

Scrunch is the only tool here that pairs monitoring with an Agent Experience Platform, which generates a parallel, AI-friendly version of your site for agent traffic and tracks the AI crawlers (GPTBot, ClaudeBot, PerplexityBot) hitting your pages. It also offers genuine agency white-labeling and a partner program, with public Starter pricing from $250 per month billed annually. If your strategy is as much about what the agents fetch as what they say, Scrunch is the most complete answer.

What "visibility" should actually mean

One thing worth checking in any of these tools is the number on the front page. Asking an assistant whether it knows your brand, or scoring prompts that already name you, inflates the result, because the model is just reading your name back. The number that matters is unprompted, unbranded mention rate: across buyer questions that never mention you, how often you are named anyway. It is the honest number and the more useful one, and it is the metric the data at the top of this piece is built on. It is also the number Baarely puts first, on purpose. (We unpack the distinction in what generative engine optimization is.)

A note from our own use: azmth.space

We run Baarely on our own projects, and one of them is the side project azmth.space: a real, working product with a couple of thousand visitors a day and pickup from a string of blogs and newsletters. No tool alone earns coverage like that. But the loop that does (watch what AI assistants say about you, fix the gaps they expose, and earn the third-party mentions that make an assistant comfortable naming you) is exactly the loop Baarely runs, and it is the loop we have run on azmth as AI assistants started surfacing it and writers started citing it. That compounding is the whole point, and it is what we built Baarely to make repeatable.

The bottom line

The AI brand visibility category has real range in 2026: Profound for enterprise depth, Peec for low-cost analytics, Otterly for engine breadth, Scrunch for monitoring plus an agent layer, and Baarely for honest measurement, a short fix-and-rescan loop, and white-label reporting that does not need an enterprise budget. Whichever you choose, start by measuring the honest unbranded number, freeze your prompt set, and run it on a schedule. If you want to do that today, with a clear list of what to fix and a branded report you can hand a client next month, start a free trial of Baarely.