Above roughly 500 tracked prompts the cost driver stops being the subscription and becomes the API spend underneath it, which is why enterprise pricing in this category is almost never published.
The arithmetic is checkable. At 500 prompts across nine engines checked once a day, the inference alone costs somewhere around $400 to $800 a month at published model rates, which is more than most vendors charge for the entire product at smaller volumes.
Last updated: 30 August 2026. Vendor pricing in this category moves quickly, so this page is rechecked quarterly.
Enterprise plans in this market look opaque because they are, and the opacity has a cause rather than being a negotiating tactic. Once your prompt set is large enough, the vendor’s own variable cost stops being a rounding error, and a fixed price stops being safe for them to publish.
What actually changes above 500 prompts?
The shape of the bill. Below a few hundred prompts a vendor’s inference cost is small next to the subscription, so a fixed price works. Above it, the same fixed price starts to look like a bet on your usage.
Here is the model. An answer to a tracked prompt is roughly 30 input tokens and 600 output tokens. Anthropic’s published pricing puts Claude Haiku 4.5 at $1 per million input tokens and $5 per million output, and Claude Sonnet 5 at $2 and $10. Those two bracket the realistic range for short-answer work of this kind.
| Prompts | Engines | Runs per day | Answers per month | At Haiku rates | At Sonnet rates |
|---|---|---|---|---|---|
| 50 | 4 | 1 | 6,000 | $18 | $36 |
| 100 | 9 | 1 | 27,000 | $82 | $164 |
| 500 | 9 | 1 | 135,000 | $409 | $818 |
| 500 | 9 | 5 | 675,000 | $2,045 | $4,091 |
| 1,000 | 9 | 5 | 1,350,000 | $4,091 | $8,181 |
Computed from published per-token rates at 30 input and 600 output tokens per answer. Not a vendor quote, and not measured from anyone’s books. Redo it with your own token estimate before using it in a negotiation.
Read the third row against the fourth. Both are 500 prompts. The only difference is how often each prompt is re-run, and it multiplies the underlying cost fivefold. That single variable is why two vendors quoting the same prompt allowance can have completely different economics, and why requery frequency belongs in the contract rather than in the marketing.
At 50 prompts on four engines, inference is roughly $18 to $36 a month against a $69 plan. A fixed price is comfortable for the vendor and legible for you.
At 500 prompts on nine engines the inference alone passes $400 a month, and at five runs a day it passes $2,000. No published flat price survives that.
Why is enterprise pricing almost never published?
Because a published price at that volume is a fixed promise against a variable cost. Checked across the category on 30 August 2026, most vendors decline to make it.
| Vendor | Top published tier | Enterprise price |
|---|---|---|
| Profound | Growth, $399/mo | Custom. Up to 9 answer engines, custom seats |
| AthenaHQ | Starter, $295/mo | Custom. Adds SSO, audit log, multi-region |
| Rankscale | Growth, $385/mo | $780/mo published, 12,000 credits, 100 dashboards |
| Trakkr | Scale, £395/mo | From £790/mo billed annually, unlimited brands |
| Peec AI | Not published | Custom, and no tier carries a public price |
| Rivarise | Agency, $1,299/mo | None. We do not sell an enterprise tier |
Two of the six publish a figure, and both are floors rather than ceilings. Rankscale’s pricing page lists Enterprise at $780 a month with 12,000 credits and 100 brand dashboards, and Trakkr lists Enterprise from £790 a month billed annually with a talk-to-sales route attached.
The rest quote nothing. Profound lists Enterprise as custom with up to nine answer engines, and AthenaHQ does the same. That is less evasiveness than an honest reflection of a cost base that moves with your prompt count.
A vendor publishing a flat enterprise price is either capping your usage somewhere you have not read yet, or absorbing a risk they have priced conservatively.
Rankscale’s published figure is worth reading carefully for exactly that reason. Twelve thousand credits at its stated quarter-credit per engine query is about 48,000 answers a month, well short of the 135,000 that 500 prompts on nine engines produces at daily checking. The price is published, and so is the ceiling.
What does an enterprise tier add beyond volume?
Three things, and only one of them is about measurement.
- What it is
- SSO through SAML or OIDC, audit logs, data residency, a security review somebody will actually sign.
- Who needs it
- Anyone whose security team gates the purchase. This is usually the real reason for the upgrade.
- What it is
- Multiple companies or brands under one contract, role-based access, custom seat counts.
- Who needs it
- Groups and holding companies, and any team where the tool has more readers than operators.
- What it is
- The prompt count and requery rate that the arithmetic above actually prices.
- Who needs it
- Teams tracking a broad category, or several of them, at a frequency that supports weekly reporting.
AthenaHQ’s enterprise list is a fair sample of the first two: SAML and OIDC SSO, an organisation activity audit log, multi-region and multi-language support, and white-glove setup. None of that makes the measurement better. All of it makes the purchase possible inside a company that requires it.
How do you size an enterprise plan before the call?
Work out your own three numbers first, because the vendor will ask for them and the quote is a function of them.
Most teams overestimate the first number and never ask about the third. A 200-prompt set that genuinely represents the category beats a 500-prompt set padded to justify a tier, and it costs less than half as much to run. Which sources those prompts should be built from is covered in what sources does AI use for brand information.
Where does Rivarise sit in this?
Below it, and it is worth saying so directly. Our top tier is Agency at $1,299 a month covering five client brands with all nine engines and sixty prompts a day per brand. There is no enterprise tier, no SSO, no SOC 2 report and no custom contract.
So if your security review requires SAML, or you need twelve brands under one agreement, we are not the answer and no amount of framing changes that. Profound and AthenaHQ both sell into that requirement and publish what their enterprise tiers include.
Where the comparison runs our way is the band underneath, where a published price and a published requery frequency let you size the thing yourself. That comparison is made in full in best AI visibility tools for agencies and, at the other end of the market, in cheap AI visibility tracking tools.
What should you ask on the call?
Four questions, and the first two are the ones that move the price.
How many times is each prompt queried per engine per day, and is that number contractual? Everything in the arithmetic above scales with it, so a quote that leaves it unstated has left your cost unstated too.
What is the overage behaviour? A plan with a soft cap that throttles quietly produces a smaller sample than you contracted for, and you will read that as a change in your visibility rather than a change in your sampling.
Do we get the raw answer text, and can we export it? Scores from a vendor you later leave cannot be recomputed, which makes an export clause the difference between owning your history and renting it.
And what happens to the price if we halve the prompt set? If the quote does not move, it was never priced on volume, and you have learned something useful about what you are actually buying. The full field below the enterprise line is in best AI visibility tracking tools, and where the free options stop is in free AI visibility checker.