Prompt Volume, Seats or Credits: How AI-Visibility Tools Price

Ask two AI-visibility vendors for a quote and you’ll get two numbers back, but the numbers rarely mean the same thing. Otterly AI’s $189/month Standard tier buys 100 tracked prompts a month across four engines. GeoRankers’s $129/month Grow tier buys ten “seed topics,” ten tracked competitors and three seats: a completely different unit of measurement, at a lower price, for a feature set neither number alone describes. Neither vendor is being deceptive. The category simply never standardized on one billing unit the way project-management or CRM software settled on “per seat, per month” years ago. This is a walkthrough of the units we actually found across our index’s sourced pricing pages, and what to normalize for before comparing two quotes.

Why this market doesn’t price like typical SaaS

Classic per-seat SaaS pricing works because the thing being metered (a named user logging in) is the same across every vendor. AI-visibility tools meter something closer to usage against a moving target: how many prompts get run, how often, against how many AI engines, sometimes bundled with content generation or audits that consume the same budget. That’s a harder thing to standardize, and our index shows six genuinely different approaches to it, not two or three.

Six ways the tools in our index price the same underlying job

1. Prompt-volume tiers. The most common shape: the price ladder is a straight multiple of how many tracked prompts you get, with everything else (engines, features) usually held constant across tiers. Otterly AI is the cleanest example: Lite ($29/month, 15 prompts), Standard ($189/month, 100 prompts) and Premium ($489/month, 400 prompts) all track the same four engines with no API/MCP on Lite, added from Standard up. The unit is simple, but two vendors’ “prompt” can still mean different things. See the credit-metering section below.

2. Multi-axis tiers that move together. Some vendors don’t isolate one variable; they bundle several into each tier jump. GeoRankers’ Launch tier ($41/month, billed quarterly) gives 3 seed topics, 5 tracked competitors and 1 seat; Grow ($129/month) raises all three at once to 10 topics, 10 competitors and 3 seats. You can’t buy more competitors without also buying more topics and seats. The tiers are a package, not independently priced levers.

3. Credit-metered, mixed-cost actions. Rank Prompt prices in credits rather than a flat “prompts included” number, and different actions draw down the same pool at different rates: a prompt scan costs 1 credit, an AI-written article costs 10, and a Lighthouse-style GEO audit costs 5–10. A team using Rank Prompt mainly for scans and one using it mainly for content generation get very different real-world usage out of the same 150-credit Starter tier ($49/month). The credit count on the pricing page understates or overstates capacity depending on what you’re actually doing with it.

4. Pure pay-as-you-go, no subscription at all. Sleepwalker bills €0.02 per credit with a €5 minimum top-up and no forced monthly plan, so cost scales directly with usage rather than committing to a tier sized for your busiest month. This is the one model in our index where the sticker price genuinely can’t be compared to a tiered competitor’s without first estimating your own monthly volume.

5. One flat plan, no ladder at all. Gauge publishes exactly one named self-serve plan: Growth, $599/month, 600 daily prompts across 6 platforms plus 18 AI-written articles and 10 seats. There is no cheaper tier to step down to; broader engine coverage or unlimited seats requires a custom Enterprise quote instead. A buyer comparing Gauge’s $599 against an entry-tier competitor’s $49 is comparing an all-in bundle to a stripped-down starting point, not two points on the same curve.

6. Free/open-core plus a custom services layer. Canonry is free and self-hosted at the core (you bring your own Gemini/OpenAI/Claude/Perplexity API key and the software itself costs nothing), with two custom-priced layers on top: “Canonry Embedded” (white-labeled reporting for an agency’s own client portal) and “Canonry Managed” (done-for-you execution). The published “Free” tier is real, but it isn’t the full cost of running the tool at any real volume. Your own LLM API usage is a variable cost that never appears on Canonry’s own pricing page.

What to actually normalize before comparing two quotes

• Convert to cost per check you’d realistically run, not cost per month. 100 prompts for $189/month (Otterly Standard) and 10 seed topics for $129/month (GeoRankers Grow) aren’t directly comparable until you estimate how many distinct brand/competitor checks each setup would actually cover for your own use case.
• Ask what one “prompt” or “credit” buys, not just how many you get. A credit-metered tool where a content-generation feature drains the same pool as a visibility scan (Rank Prompt) can burn through its allowance far faster than the headline number suggests if you use both features.
• Check whether the axes move independently or as a bundle. GeoRankers-style multi-axis tiers mean you can’t buy just “more competitors.” Confirm the tier you’d actually need covers every axis you care about, not only the one that’s cheapest to scale.
• Price in your own usage for BYOK tools. A free or near-free self-hosted tool (Canonry, and several others in our full pricing breakdown) shifts cost onto your own LLM API bill, worth estimating before assuming “free” beats a $29/month subscription.
• Watch for tools with no lower rung. A single flat-plan vendor like Gauge isn’t necessarily more expensive per feature than a tiered competitor’s mid tier, but there’s no way to start smaller and grow into it, which matters if you’re not sure yet how much usage you’ll need.

FAQ

Why don’t AI-visibility tools all price per seat, like most B2B SaaS?

Because the thing that costs the vendor money isn’t a logged-in user; it’s the volume of AI-engine queries run on a schedule, which scales with tracked prompts, topics or competitors, not headcount. Several tools in our index (GeoRankers, Rank Prompt, Gauge) do add seats as a secondary axis on top of a usage-based core tier, rather than as the primary pricing lever.

Is a credit-metered tool more or less predictable than a flat prompt-count tier?

Less predictable in raw dollar terms, because your monthly cost depends on which features you actually use, not just how many “prompts” a tier lists. See Rank Prompt above, where a content-heavy month draws the credit pool down faster than a scan-only month. It’s more flexible if your usage mix genuinely varies month to month, and harder to budget against if you want a fixed number going in.

Does “free” or “open-source” actually mean no ongoing cost?

Not necessarily. A self-hosted, BYOK tool like Canonry has no software subscription, but you still pay for the underlying LLM API calls it makes on your behalf, a real variable cost that doesn’t show up anywhere on the vendor’s own pricing page and has to be estimated separately.

Where can I see exact current prices for a specific tool?

Every tool’s own listing in our full directory carries its sourced pricing tiers and a verification date. This piece compares pricing architectures, not a live price list. Check the individual listing (or the vendor’s own pricing page) before a purchase decision, since self-serve pricing on tools like these can change without notice.