Rankscale Review 2026: What a Credit Actually Buys

Rankscale is an Austrian AI visibility tracker that names ten engines on every plan, including its cheapest, and bills for answers rather than for prompts. It is the only tool in this comparison that tracks Mistral, and one of two that reaches DeepSeek at all.

It is also priced in a unit nobody else uses, which makes it look either much cheaper or much more expensive than its competitors depending on how you do the arithmetic. This review does the arithmetic.

Disclosure: EchoWi competes with Rankscale. Prices, engine lists and company details below were read from its own pages on 6 August 2026.

The short version

1. From $20 a month, the lowest published entry price in this comparison.
2. The same engine list on every tier. No paying more to unlock a platform, which is the opposite of how most of this market is packaged.
3. It bills in credits, and the useful conversion is that $99 covers roughly sixteen prompts tracked daily across every engine.
4. Mistral and DeepSeek are both covered, which no other tool here manages together.
5. A real legal entity with a published imprint, which sounds like nothing and is rarer here than it should be.

What it costs, verified

Read from Rankscale’s own pricing page on 6 August 2026. Yearly billing saves 15%. Pro carries a 7-day free trial with no charge until day seven. Search terms are unlimited on every tier; dashboards run from 10 on Pro to 100 on Enterprise.

Engines named on every plan: ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Claude, Copilot, Grok, DeepSeek and Mistral.

That list not moving between tiers is the structural decision worth noticing. Profound’s $99 plan tracks ChatGPT and nothing else, with multi-engine coverage starting at $399. Wellows charges $37 for one engine and $297 for five. Rankscale puts the same ten on the $20 plan as on the $780 one and sells you volume instead of access.

What a credit actually buys

This is the part that decides whether the price is good, and no comparison article we found does it.

Rankscale sells answers, not prompts. An answer is one engine responding to one question on one occasion. So the unit already contains the thing most tools leave implicit: how many times you actually asked.

The conversion at the Pro tier, from the vendor’s own figures:

• 1,200 credits buys up to 4,800 answers, so one credit is about four answers.
• Tracking one prompt across all ten engines is ten answers per run.
• Doing that every day for a month is 300 answers per prompt.
• 4,800 answers is therefore about sixteen prompts, on ten engines, daily.

Now put that against the same money elsewhere. Profound’s Starter is also $99 and covers 50 prompts on ChatGPT alone. Run those daily and you consume 1,500 answers a month. Rankscale’s Pro produces roughly three times the observations for the same price, spread across ten engines instead of one.

The trade is prompts for engines, and it is a real trade. If you have 50 distinct questions you care about and only care about ChatGPT, Profound’s shape fits you better and Rankscale’s Pro will not hold them daily. If you have a handful of questions and need to know what every assistant says, Rankscale is the cheaper instrument by a wide margin.

Where we would push back: “up to 4,800” is a ceiling, and the vendor does not publish what a credit costs in every scenario, so a heavier prompt or a longer answer may not consume exactly a quarter credit. Treat the arithmetic above as the right order of magnitude and confirm the exact consumption in the trial, where you can watch the counter move against real usage. That is what a seven-day trial is for.

Mistral, and why one engine on a list matters

Ten engines is a good list. One name on it is genuinely unusual.

Rankscale is the only tool in this comparison that tracks Mistral, the French model, and it reaches DeepSeek too, which otherwise appears only on Profound’s enterprise tier.

Whether that matters is a question about your market rather than about the product. Mistral’s usage is concentrated in Europe and in organisations that chose it deliberately, often for sovereignty reasons. If you sell to French public sector buyers, European enterprises with data-residency requirements, or developer audiences that default to open-weight models, Mistral is not a curiosity in your funnel.

If none of that describes you, this is a feature you will never open, and we would rather say so than let a checklist do the arguing. The engines that decide most Western purchases are still ChatGPT and Google’s surfaces, and every tool here covers those.

The wider point is the one we keep arriving at from different directions. In our three-market study, twelve runs across the United States, Spain and France, not one tool was cited consistently in more than one market. Coverage that looks redundant from a head office often is not, and the engine you dismiss is sometimes the one your buyers use.

The engine count on the homepage, and the one you can verify

Rankscale’s homepage says “17+ AI Engines in all plans.” Its pricing page names ten.

The gap is explained on the site rather than hidden: it advertises “full-spectrum tracking” across “both chat interfaces and raw AI models,” so the larger figure counts model endpoints alongside the consumer products those models sit behind. GPT-5 through the API and ChatGPT the app are different surfaces that can genuinely return different answers, and counting both is defensible.

We are reporting the ten because it is the number a buyer can check, and because a claim you can verify is worth more in a review than a claim you have to accept. If the seventeen matters to your decision, ask which seven are not on the pricing page and how they are queried. That is a fair question and it has a good answer or an informative one.

This is a much smaller version of the problem we found at Brandlight, where the superlative on the homepage had no source at all. Here the larger number has a stated basis. The distinction is worth drawing, because “vendor marketing rounds up” and “vendor asserts an unsourced ranking” are not the same failure.

The unglamorous thing they got right

Rankscale publishes an imprint naming Rankscale GmbH, at a registered Austrian address, with company register number 658253w. The company was incorporated in July 2025.

That should be unremarkable. In this category it is not.

Over the past month, checking vendor identity has repeatedly changed what we could write. Bluefish’s obvious domain is parked on GoDaddy. Brandlight’s .io belongs to an unrelated product. Wellows’ .ai is someone else’s one-page site. Scrunch’s original domain stopped resolving after its acquisition. Four vendors in a row where the address a buyer would try first was not theirs.

Rankscale owns rankscale.ai, rankscale.com and rankscale.io, and all three land on the same product. Combined with a real imprint and a named legal entity, that is a company you can identify, invoice and, if it comes to it, hold to a contract.

We mention it because the counter-example is what makes the pattern credible. It is not that this market is careless. It is that some vendors handle the basics and some do not, and the check takes a minute.

Where Rankscale is the right call

• You want broad engine coverage cheaply. Ten engines from $20 is the best coverage-per-euro published in this comparison.
• Mistral or DeepSeek are in your market. No other tool here covers both.
• You have few questions and many engines. The credit model rewards exactly that shape.
• You want to try before talking to anyone. A seven-day Pro trial and four published prices beat the demo form that Brandlight, Bluefish, Peec AI and Evertune all require.
• Procurement wants a European counterparty. An Austrian GmbH with a published register number clears a check that a pseudonymous product page will not.

Where it is the wrong call

• You track many prompts daily. The credit ceiling binds fast. Fifty prompts daily across ten engines is 15,000 answers a month, which is Growth territory at $385.
• Your market is China. No Doubao or Qwen, the gap we built for.
• You need agent-level crawl data. Profound instruments it and this does not.
• You need attribution against a control. Measuring whether one change moved a number is a narrower job than tracking one.
• You need a large vendor behind the contract. Incorporated in July 2025 is young, even in a young category.

What we could not verify

• What Essentials includes. The $20 tier is published as “starting at” with no credit allowance or answer ceiling stated, so the cheapest price in this comparison is also the least specified.
• Exact credit consumption. The four-answers-per-credit ratio is derived from the vendor’s own Pro figures and may vary by prompt.
• How many runs sit behind a reported number. Rankscale is closer than most, since it sells answers, but it does not document sampling per reported metric. Evertune states its.
• The seven engines beyond the named ten. Claimed as raw model endpoints, not enumerated.
• Funding, headcount or ownership. Not published, and we found no announcement.

Rankscale versus the alternatives

The full comparison covers every tool we could verify, with prices read from each vendor’s own page, plus one that shut down.

Common Questions About Rankscale

How much does Rankscale cost?

Plans start at $20 a month for Essentials, then $99 for Pro with 1,200 credits, $385 for Growth with 5,500, and $780 for Enterprise with 12,000. Yearly billing saves 15% and Pro includes a 7-day free trial.

What is a Rankscale credit?

A credit buys tracked answers, where one answer is one engine responding to one question once. At the Pro tier 1,200 credits covers up to 4,800 answers, so one credit is roughly four answers. Tracking a single prompt across ten engines every day consumes about 300 answers a month.

How many prompts can I track on the $99 plan?

Roughly sixteen prompts daily across all ten engines, from the vendor’s own ceiling of 4,800 answers. Fewer engines or less frequent checks stretch that considerably, and the search-term allowance itself is unlimited.

Which AI engines does Rankscale track?

Ten are named on the pricing page: ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Claude, Copilot, Grok, DeepSeek and Mistral. The homepage claims 17+, counting raw model endpoints alongside the chat products. It does not cover Doubao or Qwen.

Is Rankscale the only tool that tracks Mistral?

It is the only one in our comparison that does. DeepSeek appears elsewhere only on Profound’s enterprise tier.

Who is behind Rankscale?

Rankscale GmbH, an Austrian company incorporated in July 2025, with a registered address and company register number 658253w published in its imprint.

What is the best Rankscale alternative?

For engine breadth at a similar price, Promptmonitor at $29 a month for six. For enterprise depth and crawl-level data, Profound. For stated sampling rigour, Evertune. For Chinese engines and change-versus-control measurement, that is what we build EchoWi for.

Where this leaves you

Rankscale is the clearest value in this comparison on the axis most buyers actually care about, which is how many engines you can watch for how little money. Ten of them from $20, with the list identical at every tier, is a pricing decision most of this market has chosen not to make.

The catch is not hidden, it is just in an unfamiliar unit. You are buying observations, and observations run out. Work out how many questions you need answered and how often before you pick a tier, because that number decides your plan far more than any feature does.

And if you have been told that European coverage is a niche, note that the one tool tracking the French model is the one registered in Austria. Where a vendor sits still shapes what it thinks is worth measuring.

Next: the Profound review, the Wellows review, and the full comparison with verified prices.