Key takeaways
- Price per prompt hides three variables: how many engines each prompt runs on, how often it is checked, and what else is bundled into the plan.
- Cost per tracked response (price divided by the AI answers you actually collect each month) is the fairest common unit. Published examples run from roughly $0.02 to $0.08 per answer.
- A response is not a uniform unit. Fan-out depth and citation counts differ by engine and drift with model updates.
- Bundled content, audits and SEO tools inflate per-prompt numbers, so separate measurement price from everything else.
- Check whether the data comes from real user interfaces or APIs, because answers can differ between them.
Why price per prompt misleads
Every pricing page leads with a prompt count. 50 prompts for $95. 15 prompts for $29. It feels like a clean unit, so buyers divide and compare.
Then you find out one plan runs each prompt on one engine weekly, and another runs it on four engines daily. Same "prompt". A completely different amount of data collected.
A comparison published on October 13, 2026 by Humanswith.AI (a vendor, and one of the ten tools in its own comparison, so read it with that in mind) shows how wide the spread is. Price per tracked prompt on published plans ran from EUR 0.66 at LLM Pulse to $3.98 at Semrush. That is a 6x gap before you ask what each prompt actually does.
The unit that works: cost per tracked response
The thing you are really buying is a collected AI answer: a prompt, run on an engine, on a given day, with the response and citations stored. So:
responses per month = prompts x engines x runs per month
cost per response = monthly price / responses per month
The same Humanswith.AI article shows what this looks like for three vendors:
- Peec AI Starter includes 4,500 answers a month (50 prompts x 3 models x 30 daily checks), about $0.02 an answer.
- Scrunch Core includes 5,000 responses, about $0.05 each.
- AthenaHQ sells credits, which works out to about $0.08 per AI response on its Starter plan.
Notice that Peec and Scrunch look similar by prompt price ($1.90 vs $2.00 in that table) but the per-response gap is bigger than the headline suggests once volume is counted. And AthenaHQ has no prompt price at all, so you cannot compare it per prompt. Per response, you can.
Quick worked example
Say two plans both cost $100 a month.
| Plan A | Plan B | |
|---|---|---|
| Prompts | 50 | 25 |
| Engines | 1 | 4 |
| Frequency | Weekly (4 runs) | Daily (30 runs) |
| Responses per month | 200 | 3,000 |
| Cost per response | $0.50 | $0.033 |
| Price per prompt | $2.00 | $4.00 |
Plan B looks twice as expensive per prompt and is 15x cheaper per response. Whether you need the extra data is a separate question, but at least you are asking it.
What the 2026 published prices look like
The Humanswith.AI table also lists price per prompt per engine in the plan, which is a halfway step toward cost per response. A trimmed version of its figures:
| Platform and plan | Price per tracked prompt | Per prompt, per engine |
|---|---|---|
| LLM Pulse, weekly Starter | EUR 0.98 | EUR 0.20 |
| LLM Pulse, daily Starter | EUR 1.58 | EUR 0.32 |
| Otterly.AI Lite | $1.93 | $0.48 |
| Peec AI Starter | $1.90 | $0.63 |
| Scrunch AI Core | $2.00 | $0.50 |
| Semrush AI Visibility Toolkit | $3.96 | Engines not counted |
| AthenaHQ | No prompt price | $0.08 per response (credits) |
| Profound, Conductor | On request | On request |
These are the vendor-published numbers from one article, checked on October 13, 2026 and updated October 25. Treat them as a template for your own math, and confirm on each pricing page before you buy.
Tools worth running through this formula include LLM Pulse, Otterly.AI, Peec AI, Scrunch AI and AthenaHQ:
Otterly.AI
Seven things that distort the comparison
1. Bundled content and SEO tools
Writesonic, Semrush and Humanswith.AI put articles, audits or classic SEO tools in the same price, so their per-prompt number is not a pure measurement price. That is not a flaw. It just means you cannot set it next to a monitoring-only plan without subtracting the value of what you would use.
Semrush is the clearest case. Its AI toolkit is included on Semrush One plans (from $199 a month, per Style Factory) or sold separately at $99 a month per domain. If you already pay for the suite, the marginal cost is different from a stand-alone buyer's.
Ahrefs has the same shape. Its AI tracking starts at $199 a month but can rise considerably with the number of platforms and prompts.
2. Engine gating
Some vendors gate engines by tier. Per the Nick Lafferty roundup, Gauge sells ChatGPT-only at $99 a month and multi-engine at $599, with Claude and Grok reserved for Enterprise. A cheap entry price that covers one engine is not comparable to a multi-engine plan.
3. Check frequency
LLM Pulse's own numbers show the effect: Starter goes from EUR 0.98 per prompt on weekly checks to EUR 1.58 on daily. Daily tracking costs more because you get more responses. If your market moves slowly, weekly may be enough. If you are watching a launch, it is not.
4. Real UI versus API data
Answers collected through an API can differ from what a user sees in the product, including citations and shopping results. A cheaper response that does not match what customers see is worth less. Ask each vendor how the data is collected. Platforms such as Promptwatch monitor the real user interfaces of the major engines and track API models alongside, which is the kind of detail to request in any quote.
5. Responses are not a uniform unit
This is where cost per response is imperfect, and you should know it.
Promptwatch Data's average sources per response report (September 2025) found ChatGPT cites about 5 sources per web-search answer, while Google AI Overviews cites about 10 and Perplexity almost exactly 10 every day. Copilot swung from under 2 to nearly 17 within a few weeks. One response from one engine can carry twice the citation data of another.
The work behind a response moves too. Promptwatch's ChatGPT query fanout data measured about 2.15 distinct searches per response in early December 2025, easing to about 1.84 by early March 2026, and 1.0 when data resumed in April. Then on August 8, 2026, ChatGPT began using the site: operator at scale, and searches per response nearly doubled (report). Citation counts also dropped around the GPT-5.3 rollout (report).
My read: a flat per-response price is a fair starting point, but a vendor that charges per response is absorbing this variability, and one that charges per fan-out query or per citation would be passing it on. Ask which one you are signing up for.
6. Credits and add-ons
Credit systems make math harder. AthenaHQ's credits convert to roughly $0.08 a response, but only if you spend the credits on tracking. If credits also pay for content or analysis, your effective tracking price is higher.
7. Seats, projects and brands
Per-brand fees can swamp a low headline price. One Reddit thread on budget tools cites $34 a month flat for five brands with no per-brand fees. For agencies, projects and seats matter as much as responses. The AI rank tracker directory at ai-rank-tools.com is a reasonable place to scan tools with agency-friendly structures.
A fair-comparison worksheet
Put each shortlisted vendor in a row and fill in:
| Field | Why it matters |
|---|---|
| Monthly price (annual vs monthly billing) | Annual discounts commonly shift price by about 17% |
| Prompts included | Starting point only |
| Engines per prompt | Multiplies responses |
| Runs per month | Daily vs weekly is a 7x difference |
| Responses per month | Prompts x engines x runs |
| Cost per response | The comparable number |
| Data source (UI or API) | Affects accuracy |
| What else is bundled | Subtract value you will not use |
| Overage rules | Surprise bills |
| Seats, projects, brands | Agency and multi-brand cost |
If the vendor will not tell you how many responses are included, that is a finding in itself. Enterprise-only quotes from Profound and Conductor are "on request" for a reason: volume is negotiated. Ask for the response count in writing and divide.
Profound
Beyond response price: what you get for it
Cost per response tells you the price of measurement. It says nothing about whether the measurement leads to anything. Two questions finish the comparison.
First, does the platform connect visibility to traffic? Platforms that include crawler logs and AI visitor analytics let you tie responses to actual visits and conversions, so you can judge price against outcome. Monitoring-only dashboards cannot.
Second, what happens after you see a gap? Some tools stop at the dashboard. Promptwatch, for example, adds a content gap analysis, a Content Agent that writes and publishes, and page tracking that checks whether the fix got crawled and cited. Its pricing runs from a free Explore tier to Essential at $95 a month (50 prompts, 6,000 responses, all models) and Business at $579 a month (350 prompts, 42,000 responses). That works out to about $0.016 and $0.014 per response respectively, with the response count published on the page, which is the kind of disclosure to look for. Confirm at promptwatch.com/pricing.
For a wider scan of options, the GEO software directory at bestgeosoftware.com is a good place to find more tools to put through the worksheet.
Common mistakes
- Comparing a one-engine weekly plan to a multi-engine daily plan on price per prompt.
- Treating a suite's bundled toolkit as stand-alone measurement cost.
- Ignoring overages. Hitting a response cap mid-month changes the math.
- Over-buying frequency. Daily checks on slow-moving topics waste responses.
- Under-buying engines. If your buyers use Google AI Overviews and you only track ChatGPT, the cheap plan is blind where it matters.
One rough sanity check: if the cost per response you calculate is far above the $0.02 to $0.08 range in the published examples, find out why. It may be bundled value, or it may just be a bad deal.
Running the numbers on a shortlist
A practical method that takes an hour:
- Decide your needs first: number of prompts, which engines your buyers use, and how often you need fresh data.
- Ask each vendor what that configuration costs and how many responses it includes.
- Divide. Rank by cost per response.
- Subtract the value of bundled extras you would not otherwise buy.
- Run a one-month trial on the top two, and compare the data against what you see by hand in the live interfaces.
If you would rather have an agency handle vendor selection and the GEO work that follows, 1001 SEO Media does that as part of its AI search services.
Bottom line
Prompt counts are a marketing unit. Responses collected are the real unit. Divide the monthly price by prompts x engines x runs, strip out bundled extras, and ask how the data is gathered. The published 2026 examples sit between about $0.02 and $0.08 per answer, and the vendors that tell you the response count up front are usually the easiest to compare.