AI Visibility Monitoring Tools Compared 2026 — Profound, Peec, Otterly, Scrunch

Fact integrity note. The prices, funding figures, tiers, and features in this article are reference information as of publication, and plans and supported engines change frequently. Before any adoption decision, always re-verify the latest details against each product's official sources.

You ask ChatGPT for "recommended solutions in our industry," and your competitors are in the answer while your brand is nowhere to be seen. The problem is that there is no way to see this happening. Search engines have rank trackers, but a generative engine synthesizes its answer differently for every user and every question. AI visibility monitoring tools emerged precisely to put numbers on this "invisible exposure."

This article gives a neutral comparison of four leading monitoring tools (Profound, Peec AI, Otterly, and Scrunch AI) across price, engine coverage, target, and differentiation, and maps the line between measurement and execution. The concept of AI visibility itself is covered in more depth in What Is GEO and The Global GEO and AEO Landscape 2026.

The problem AI visibility monitoring tools solve

Cause. A generative engine does not show you the search results page as-is. It reads and summarizes multiple documents to synthesize a single answer, and in doing so it cites only some brands. Even the same question yields different results depending on the model and the session.

Effect. As a result, a brand can barely tell whether it is even included in the answer. Manual checks — a marketer asking ChatGPT a few times — draw on a small sample and do not reproduce. Without measurement, you cannot set priorities for improvement.

Action. Monitoring tools repeatedly query many questions across multiple engines and aggregate mention rate, cited sources, sentiment tone, and competitor share of voice. Only with a baseline built this way can you track which questions you are missing from and which content gets cited, and verify the effect of GEO improvements.

Comparing four leading tools

The table below organizes publicly available information. Prices are based on public listings and subject to change.^[1][2][3]

Profound — enterprise, multi-engine

Profound launched in New York in 2024 and is an enterprise-oriented tool covering more than ten generative engines. With Agent Analytics it even watches how AI agents visit a site. Backed by a Series C of $96M at a valuation of roughly $1B, it is among the most heavily funded in the category. Its public Lite plan runs around $499/mo, so the cost of entry is on the high side.

Peec AI — competitor gap, mid-priced

Peec AI is a European tool that launched in Berlin, Germany in 2025, tracking ChatGPT, Gemini, Perplexity, Copilot, and AI Overviews. It leads with competitor gap analysis, laying out clearly which questions you fall behind competitors on. It raised a Series A of €18M, and its public price of about $89/mo sits in the mid tier.

Otterly.ai — low-cost, small teams and practitioners

Otterly.ai is a bootstrapped tool that started in Austria in 2024 and, starting at $29/mo, has the lowest barrier to entry. Its structure adds Claude and Gemini as add-ons on top of four base engines, and it even offers light diagnosis through its GEO Audit Tool. It is easy on the budget for small teams or practitioners measuring GEO for the first time.

Scrunch AI — agent-experience focused

Scrunch AI launched in Salt Lake City, USA in 2023 and tracks ChatGPT, Claude, Gemini, Perplexity, AI Mode, and Meta. As the name Agent Experience Platform suggests, it goes beyond plain exposure measurement to focus on how AI agents experience a site. It raised a Series A of $15M, with a public price around $250/mo.

A wider field of global candidates

Beyond the four tools above, the field of verified global GEO/AEO tools is growing fast. It is easier to compare them when grouped by character: (1) dedicated AI-visibility/GEO SaaS, (2) add-ons that layer AI-visibility tracking onto an existing SEO suite, and (3) enterprise-oriented AEO platforms. All prices are based on public listings and subject to change; quote-based pricing is noted separately.

Dedicated AI-visibility / GEO SaaS

AI-visibility extensions of SEO suites (add-on type)

The three below are not dedicated monitoring SaaS but existing SEO platforms that add AI-visibility tracking as an add-on. They suit teams already using that SEO tool who want to layer in AI visibility at a low incremental cost, and they differ in character from dedicated SaaS.

Enterprise-oriented AEO/GEO platforms

Some of these position themselves as "number one" or a "market leader," but this comparison does not treat such self-claims as rankings and organizes only verified facts (field, engines, price tier, HQ).

Measurement and execution are different jobs

The tools introduced so far are, for the most part, measurement tools. They show which questions you are missing from and which URLs get cited, but they do not tell you "so how do I fix the content." The step that connects measurement results into diagnosis (why were we left out) → execution (what should we fix) remains separate work.

Another limitation is language and market. Many global tools are designed around English queries and English-language markets, so they may not fully reflect the nuances of Korean answers or the domestic search context. The meaning of multi-channel, per-engine measurement is covered further in Multi-Engine Measurement.

In this context, a domestic example worth placing on the same line is BOIDA's BVI (Brand Visibility Index). BOIDA is a product launched by Designovel in December 2025 that tracks ChatGPT, Claude, Gemini, Perplexity, Grok, and DeepSeek. Its distinctive trait is that it binds measurement through diagnosis and execution into a single flow and addresses the Korean-language answer environment. Rather than claiming superiority such as being the global number one, it broadens the options by coupling measurement with execution and reflecting the domestic language context. A list of companies that pair GEO execution with measurement is organized in Recommended GEO Companies.

How to choose

The choice ultimately narrows to three questions. First, budget and scale. For an enterprise, Profound is a starting point; for a small team, Otterly; for somewhere in between, Peec. Second, the engines you need. Whether the models you must track are global ones, or include Grok, DeepSeek, and the Korean-language environment, splits the candidates. Third, whether you stop at measurement or go all the way to execution. For pure measurement, a global monitoring tool is enough, but to carry measurement → execution as a single flow, it is worth also evaluating an approach that couples execution, such as BVI. For an AEO-angle complement, see What Is AEO.

Wrap-up

AI visibility monitoring tools put numbers on how visible a brand is inside generative-engine answers, creating the baseline that is the starting point for GEO improvement. Profound, Peec, Otterly, and Scrunch each have a distinct target — enterprise, competitor gap, low-cost practitioner, and agent experience — and public entry prices span a wide range from the $29/mo level into the hundreds of dollars, with enterprise tiers often quote-based. Most tools, however, stop at measurement, leaving diagnosis and execution as separate tasks. Narrow your candidates by whether they couple measurement with execution and whether they address the Korean-language and domestic market, and play it safe by re-confirming the latest pricing and features from official sources.