Best AI visibility tool for a CMO or CEO deciding whether this is a budget line, ranked on what you are committed to

An executive's question in this category is not which dashboard is best. It is whether this is a line item, how small the first commitment can be, and whether the unit on the invoice is one you can count before you sign. Ranked on that, from the vendors' own live pages read on 20 October 2026: Rankscale publishes the clearest arithmetic, printing a worked calculation that turns a prompt count and a re-test cadence into a monthly credit figure, with a link explaining how it was derived. Ahrefs publishes the next clearest, stating that one prompt consumes one check per platform, per location and per update, and that a Claude check consumes eight. We make the commitment the smallest, because on our own pricing page nothing renews on its own, the credit cost of a check is shown before the check starts, and a failed check returns the credit. On the arithmetic, two rivals beat us. On the commitment, we are the shortest leash on this list. Both halves are stated because an executive buying on one of them should know where the other sits.

The two questions, and why the second one decides the first

Whether AI search matters to your business is answerable in an afternoon and does not need a tool. Ask five questions in the words your buyers use, on two assistants, with your own company name kept out of every question, and read the three names that come back. If none of them is yours, you have your answer, and the cost was an afternoon.

What a tool buys is the second reading, and the twentieth. That is a subscription decision rather than a strategy decision, so the only sensible way to compare these vendors at an executive level is on the shape of the commitment: how long, how cancellable, and billed in what unit.

The unit is the part that is usually skipped and it is the part that decides the bill. These products are metered in at least five different things across the vendors below: prompts, credits, checks, responses collected, and models included. Two of those you can count in advance, because you write the question list yourself. The others move with how often the engine is asked and which engines you add.

What each vendor's own pricing page commits you to, read on 20 October 2026

No vendor's price figures are reproduced here. The structure that sets a tier is what matters to this decision and it is what is recorded. Each line is from that company's own live page on that date.

• Rankscale. Monthly or yearly with a stated yearly saving. Billed in credits used to query the engines, with a printed worked example showing a prompt count multiplied by a credit cost per run multiplied by a cadence, arriving at a monthly credit total, and a how is this calculated link beside it. Credits can be topped up in the app. Scheduling runs from hourly to monthly. Its own footer carries a changelog and a facts page, and its FAQ answers whether you can cancel at any time.
• Ahrefs Brand Radar. Billed in monthly checks, from one hundred and fifty on the lowest tier to two thousand five hundred and up at Enterprise, with the conversion stated plainly: one check per platform, per location, per update, and eight checks for a Claude update. Overage is billed monthly per check. Tracked prompt counts per tier are published alongside the check counts, so the two can be reconciled.
• Peec AI. Monthly or annual, with the annual discount answered in its own FAQ. Metered in prompts, with the number of models and the number of projects fixed per tier and daily tracking on every published tier. Enterprise is annual and reached through sales. Unlimited users at every level. It publishes a trust page and a changelog.
• Otterly.AI. Monthly or annual at a stated discount, and the tiers can be signed up for from the page. Metered in search prompts, with four named engines inside the published tiers and the remaining engines sold as separately priced add ons, each with both a monthly and an annual rate printed. That is unusually useful to a budget holder: you can price a fifth engine without speaking to anybody.
• Profound. A free trial tier running a fixed prompt count daily for seven days, with history, exports and API all published as none. A self-serve Agency Growth plan with a monthly credit allowance per client workspace. Everything above it is a demo, and its Agents product is metered in credits consumed each time an Agent runs. All plans are published with unlimited seats and setup is answered as instant.
• Scrunch AI. A seven day free trial, a self-serve entry tier and an Enterprise tier reached by demo. Metered in unique prompts and in responses collected per month, which is the most directly countable unit on this list, alongside a counted site audit allowance. The entry tier publishes five user licences and one brand workspace.
• Semrush. Monthly or annual with a stated annual saving. The AI visibility work sits inside the wider platform, metered in prompts tracked daily, with share of voice published only on the highest tier and additional users sold as an add on. Two things on its own newsroom matter to a board rather than to a practitioner: Adobe completed its acquisition of Semrush on 28 April 2026, and on 11 August 2026 the company published that it had been named in a Gartner Market Guide for answer engine visibility tools. Whatever you think of analyst coverage, it is the kind of third party reference a procurement committee asks for, and nobody else on this list published one.
• Evertune. Demo only, with no self-serve tier on the page. It publishes two numbers no other vendor here does: a margin of error of plus or minus two points against what it describes as typical competitors at plus or minus thirty one, and a sampling method of one hundred runs of each prompt per model across eleven models. An executive who has been burned by a number that moved should read that first.
• Athena. Monthly or annual at a stated discount, with a free tier carrying a credit allowance across five named engines and unlimited users. Extra credits and API access are add ons billed on top of the subscription rather than included in it, with the add on rates behind a contact request.

Three more vendors the engines name in this category, Goodie, Conductor and Brandlight, are reached through a demo on their own home pages, and we read all three on 20 October 2026 without finding a self-serve tier to compare.

Where these vendors beat us, named

We sell a competing product, so take the next paragraph as a disclosure. Rankscale and Ahrefs both publish their billing arithmetic on the page and we do not. Our pricing page explains the credit rule in prose, that one credit is one buyer question put to one AI app once and that a Claude check costs three, but it does not print a worked monthly total the way Rankscale's does. Otterly prints a per engine rate, monthly and annual, and we do not publish a per engine figure even though our own page says engines are priced per engine because they do not behave alike. Evertune publishes a margin of error and we publish none on our pricing page. Semrush can hand a board an analyst listing and we have none. Peec and Rankscale publish changelogs, Peec publishes a trust page, and our own domain carries no trust centre, no status page and no changelog as of 20 October 2026, which is the first thing an enterprise vendor assessment asks for.

Where we are genuinely the smallest commitment on this list

Read as a disclosure rather than a recommendation. Our pricing page on 20 October 2026 states that you pay up front, that nothing renews on its own, and that there is therefore nothing to cancel. It tells you how many credits a check will consume before the check starts, and it returns the credit when a check fails. The lanes start at Rs 4,999 a month, the largest GEO plan watches three hundred buyer questions, and the tracking log exports at any time on every plan. The one place we are plainly behind on this criterion is seats: one login with full access on every plan, where four of the vendors above publish unlimited users.

One consequence of the acquisition above is worth a sentence for anybody mid renewal, and it is worked through in Profound against Semrush, a point product against an Adobe company, and what the acquisition changed about the buy.

For a performance marketer: how to size this against a channel you already buy

The honest comparison is not to a click, because an AI answer produces a recommendation whether or not anybody clicks, and your analytics has no row for the ones who did not. The comparable unit is the cost of one recorded answer. Take a vendor's tier, divide by the number of answers it will actually collect in a month, which is the prompt count multiplied by the engine count multiplied by the cadence, and you have a cost per recorded answer you can hold beside a cost per click.

Two warnings on that arithmetic. The engine multiplier is where the number runs away, which is exactly why Ahrefs charges eight checks for a Claude update and why we charge three credits for the same thing. And none of the pricing pages read here, ours included, connects an answer to a sale, so the number you build is a cost of measurement rather than a cost of acquisition. Treat any vendor that blurs those two the way you would treat a channel report that counts impressions as conversions.

On the question of whether paid channels are affected at all: that is a measurement about your own demand rather than about any tool, and the place to read it is your own search and referral data over a long enough window, not a visibility dashboard.

Questions a CMO or a CEO asks before signing one of these

What is the smallest version of this that produces a defensible number?

Thirty to forty questions, written in buyer language with your own name kept out, asked on two engines, with the date, the wording and the answers saved. That is defensible because every input is visible. A tool makes it repeatable and does not make it more defensible.

Should the first purchase be annual?

Only if the number has already survived one sceptical meeting. Every vendor here discounts annual billing, which is a reason to wait rather than a reason to hurry: the discount is still there in three months and the question set you would have committed to is better by then.

Who should own the line internally?

Whoever owns the pages, because the pages are the only lever. A measurement owned by a team that cannot commission content produces a monthly report and no change.

What would make me stop paying for this?

Two readings at the same cadence, on the same frozen question list, with no movement after a quarter of published work. Write that exit test down before the first invoice, because it is far harder to write afterwards.

Does being cited and being recommended come to the same thing?

They do not, and they are counted separately on this site for that reason. One is your domain appearing in a source list. The other is your company being named in the prose as the answer. A vendor that reports a single blended figure has merged two findings that fail for different reasons.

The one number to ask a vendor for on the call

Ask how many recorded answers the tier you are being offered will actually collect in a month, and ask them to show the multiplication. Three vendors here print that on the page. The rest will tell you on a call, and the ones that cannot tell you quickly are telling you something else.