RankScale AI credits are not priced equally per engine — checking Claude costs 8x more than checking ChatGPT

A credit-based plan is supposed to be easy to reason about: buy 120 credits, spend them on checks, top up when they run low. RankScale AI's pricing looks exactly like that on the surface — Essential at roughly $20/mo for 120 credits, Pro at roughly $99/mo for 1,200. What that headline number hides is that a "credit" doesn't buy the same thing depending on which AI engine you're asking. Ask ChatGPT, Gemini, Perplexity, or Google AI Mode a question and it costs a flat 0.25 credits. Ask the exact same question to Claude, and it costs 2 credits — eight times as much. If you're budgeting a monthly credit pool assuming every engine costs roughly the same to check, you're wrong by a factor of eight the moment Claude enters the mix, and Claude is increasingly the engine a technical B2B buyer actually opens.

The rate card, plainly

Multiple independent trackers covering this category converge on the same per-engine credit rates for RankScale AI: ChatGPT, Gemini, Perplexity, and Google AI Mode each cost 0.25 credits per query. DeepSeek costs 1 credit — four times the base rate. Claude costs 2 credits — eight times the base rate. That's not a rounding quirk or a beta-feature surcharge; it's the standing rate card across every plan tier, from Essential up to Enterprise. (One honest caveat: this rests on WebSearch aggregator snippets, not a screenshot of RankScale's own pricing page — a direct fetch of both rankscale.ai and the sourcing aggregator returned a 403 from our sandbox tonight, the same block every competitor-teardown post on this blog has hit. The credit-rate numbers were consistent across two independently phrased searches, which is the level of corroboration we're willing to publish on; treat the exact currency — some sources show EUR, some show USD — as the one figure still worth confirming yourself before you budget against it.)

What that actually costs you in a month

Here's the arithmetic, using the same cadence this blog already uses as its own baseline: 25 real buyer questions, checked once a week. Run those 25 questions against the four base-rate engines — ChatGPT, Gemini, Perplexity, Google AI Mode — once a week, and you spend 25 × 4 × 0.25 = 25 credits a week, or about 100 credits a month. That alone eats most of the 120-credit Essential plan, before you've spent a single credit checking whether an audit or a dashboard view costs anything on top.

Now add Claude to that same weekly cadence, at 2 credits per question instead of 0.25. Twenty-five questions a week at 2 credits each is 50 credits a week — about 200 credits a month, for Claude alone. That's already more than the entire Essential plan's monthly allowance, spent on one engine, before a single credit goes toward ChatGPT, Gemini, Perplexity, or Google AI Mode. To watch all five engines on a real weekly cadence, at RankScale's own published rates, you're not an Essential-tier customer anymore — you're most of the way into Pro, and that's before DeepSeek or any of the other engines in their 17+-engine roster ever enter the count. (To be clear: this specific 25-question weekly cadence is our own illustrative math, not a figure RankScale publishes themselves — it's what happens when you apply their real, sourced per-engine rate to the same buyer-question cadence this blog uses everywhere else.)

Why this specific asymmetry matters more than it looks

A credit system that charges the same for every engine would just be a budgeting inconvenience — annoying, but not distorting. Charging 8x more for one specific engine changes behavior: a team on a fixed credit budget has a real incentive to check the four cheap engines every week and let Claude slide to monthly, or skip it, simply because the math works out that way — not because Claude matters less to their buyers. That's a real risk, because Claude's mechanics for deciding what to recommend are genuinely different from the other engines', and it's a fast-growing surface among exactly the technical, engineering-adjacent buyers a lot of B2B SaaS categories sell to. A pricing structure that quietly nudges you toward checking it less often is nudging you away from the one engine you may have the least existing intuition for.

The honest tradeoff, not a knock on the product

None of this makes RankScale AI a bad tool — a lower entry price for a solo SEO or freelancer willing to manage a credit budget is a real, legitimate option, and we've said as much before. The point of this post isn't "credit metering is a scam." It's narrower and more useful than that: if you're comparing a credit-metered plan against a flat one, don't just compare the sticker price — check whether every engine costs the same out of that pool, because in this specific case, it doesn't, and the engine that costs the most also happens to be one of the harder ones to justify skipping.

Where PingMyBrand sits on the same question

PingMyBrand doesn't meter credits per engine, or at all. Every scan — free or paid — checks all four major engines your buyers actually use (ChatGPT, Claude, Gemini, and Perplexity) at the same cost: included, every time, on every tier, starting at a flat $19/mo with no credit math to run before you know what a week of checking actually costs you. Run the free scan and see all four engines' real answers for your brand in about a minute — no signup, no credit budget to plan around, and no engine that quietly costs eight times more to check than the others.