AI Visibility Tools Compared: Tracking Your Brand in ChatGPT and Perplexity

The question comes up in roughly this form: something is answering our customers now, and we have no idea whether it mentions us. Which tool fixes that?

The category is about two years old and already crowded, so the honest answer depends less on which tool is best and more on which job you are actually doing. This piece covers what these tools measure, where they genuinely differ, and which one fits at four different budgets.

> What these tools actually do

All of them work roughly the same way underneath. You give them a list of questions your buyers might ask. They ask those questions to AI engines on a schedule, read the answers, and record whether your brand appeared, whether it was recommended, and which pages the engine cited on the way.

That last part matters more than the headline score. A mention tells you that you exist in the model's answer. The cited sources tell you why, and citations are the part you can act on, because they are usually pages you could get onto.

> Where they genuinely differ

Engine coverage

The engines are not equally worth tracking, and coverage counts are the easiest number to inflate. ChatGPT, Google AI Overviews and AI Mode, and Perplexity are where the volume is for most businesses. Copilot, Gemini, Claude and Grok are real but usually secondary, and several tools bill them as add-ons rather than including them. A tool advertising eight engines may be charging you separately for five of them.

Frequency

Daily versus weekly checking sounds like a minor detail and is actually the main cost driver, because every check is a paid API call to a model. It is also the thing to match to reality. If you publish monthly, daily tracking mostly measures the model's own noise.

Prompt volume

Prompts are the real unit of pricing across the whole category. Compare tools on cost per prompt per month rather than on plan names, and be realistic about how many buyer questions you actually have. Most businesses have somewhere between ten and forty that matter.

> The options, honestly

Otterly.AI

The cheapest way to find out whether you have a problem at all. Its published pricing starts at $29 a month for 15 prompts across four engines, with Google AI Mode, Gemini and Claude sold as add-ons on top. Standard at $189 covers 100 prompts and adds API and MCP access.

The catch is the add-on structure. If the engines you care about are the extras, the real price is well above the headline. Worth pricing your actual engine list before comparing.

Peec AI

Positioned at mid-market teams and agencies, covering six engines including AI Mode, AI Overviews, Copilot and Gemini. Prices are not published on their pricing page, so treat any number you see quoted in a comparison post as secondhand and ask them directly.

Profound

The enterprise option, sold on custom pricing. The differentiator is depth of source analysis, meaning which publications and pages are shaping the answers about you across a large prompt set. If you are a brand with real search volume and a budget line for this, it is the serious pick. If you are a founder checking whether ChatGPT knows your product exists, it is not the right shape.

VerifiedDR

VerifiedDR tracks three platforms, ChatGPT, Perplexity and Google AI Mode, and shows every answer verbatim alongside which brands were named and in what tone. Every account gets one free scan of up to four questions, then Pro at $39 carries 25 questions per scan, Max at $99 carries 75, and Ultra at $199 carries 200.

Two honest caveats. It covers three engines, not eight, so if Copilot or Claude coverage is a requirement it is the wrong tool. And the full refresh is weekly rather than daily, which is fine if you publish weekly and a limitation if you need same-day signal.

What it does that the pure-play tools do not is keep AI visibility next to the classic authority metrics in the same product, so Domain Rating, backlinks, keyword positions and AI mentions sit on one site profile. That matters because the pages AI engines cite about you are usually the pages that already rank, and treating those as two separate problems in two separate tools is how the connection gets missed.

> How to choose in about ten minutes

Write down the ten questions a buyer would actually type. Not keywords, questions. Then ask them yourself, by hand, in ChatGPT and Perplexity, and write down what came back.

That exercise answers most of the purchasing question for free. If you are already named in most answers, you need monitoring and the cheapest credible tracker wins. If you are absent everywhere, you do not have a measurement problem yet, you have a coverage problem, and the tool worth paying for is the one that also tells you which sources to get onto.

> Frequently asked questions

Can I just check manually?

For a handful of questions once a quarter, yes, and you should at least once before buying anything. It stops working as a habit because answers vary between runs and between accounts, so a single manual check cannot separate a real change from noise. That variance is the actual argument for tooling.

Do these tools improve visibility or only measure it?

Mostly they measure. Some rank suggested actions on top. Be skeptical of any tool promising to get you into AI answers directly, because the mechanism is the same boring one as always, which is being covered and cited by sources the model already trusts.

Is this just SEO with a new name?

Substantially, yes, and that is the useful insight rather than a criticism. The engines cite pages that rank and publications with authority. What is genuinely new is that the answer is synthesized, so being cited without being clicked is now a normal outcome, and rank alone stops describing your position.

> Why this shows up on AgentMRR

This board lists AI agents with revenue verified through their payment provider, so the recurring founder question here is how anyone discovers a product now. Increasingly the answer is that a model recommended it. Being absent from that answer is a distribution problem that looks like a marketing problem, and it is worth measuring before it is worth panicking about.