ChatGPT is the engine your CEO asks about by name. It is also the one every tool in this category tracks, which makes comparing them on features close to pointless. The useful question is what happens three months later.
Because nobody tracks one engine for long. Every team we have watched start here follows the same path: ChatGPT first, because that is the one people name. Google AI Overviews within a quarter, once somebody notices where the volume actually is. Then Perplexity, usually because a competitor turned up there.
That path is why a ChatGPT-only tool is a decision you make twice, and the second time is more expensive, because by then you have a prompt set, a baseline and six months of history that do not move across.
So we priced two things. What 100 prompts on ChatGPT costs today, and what the same tool costs when the list grows.
100 prompts, ChatGPT only, twelve months
| Tool | Plan this forces | Per month | 12 months |
|---|---|---|---|
| Rankscale | Pro | $99 | $1,188 |
| Semrush AI Visibility Toolkit | $99 base plus 75 extra prompts | ~$219 | ~$2,628 |
| Peec AI | Pro (150 prompts, six engines included) | $245 | $2,940 |
| Omnia | Pro | €279 | €3,348 |
| AthenaHQ | Starter | $295 | $3,540 |
| Profound | Growth (Starter caps at 50 prompts) | $399 | $4,788 |
Prices checked against each vendor's own pricing page on 14 September 2026.
Rankscale is the cheapest way to track ChatGPT and it is not close. It also has a $20 tier below this, which is the only realistic way to do this properly on no budget at all.
Profound is the most expensive, which surprises people, because it is the only tool here with a dedicated ChatGPT-only tier at $99. That tier caps at 50 prompts. A hundred prompts means Growth at $399, and Growth bundles two engines you did not ask for.
Now add the second engine
This is the column the pricing pages do not show you.
At $245, Peec AI's Pro plan covers 150 prompts against six engines: ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Microsoft Copilot. At $399, Profound's Growth plan covers 100 prompts against three. Google AI Mode requires Enterprise, where the price is not published.
Semrush at roughly $219 gives you four engines and reports Google as a single combined figure, which means it cannot tell you whether you have an AI Mode problem at all.
Rankscale stays cheap as the list grows, since all ten of its engines are on every plan including the $20 one.
So the honest summary is that Rankscale wins on price at every engine count, Peec AI wins on what is included per dollar once you pass one engine, and Profound's pricing only makes sense if you were always going to buy Enterprise.
The thing most people miss about ChatGPT
Answers from chatgpt.com and answers from OpenAI's API are not the same.
The interface has its own retrieval behaviour, its own conversation memory, and its own tendency to search the web mid-answer. The API, queried cold, frequently names different brands for the same question. Neither is wrong. They are different surfaces, and your buyers are on the first one.
So when a tool says it tracks ChatGPT, ask which. A tool querying the API is cheaper to operate and further from what your customer sees. A tool driving the interface is closer to reality and harder to run. Peec AI does both and reports them separately, which is the most honest version and also the most confusing the first time you open it.
This is worth ten minutes of your evaluation, because it is the difference between tracking what your buyers see and tracking something adjacent to it.
What the reviews are worth
Almost every page ranking for this question is published by a company that sells one of these tools. Check the footer before you read, and check the date against the vendor's own pricing page, because this category ships weekly and nothing gets re-checked.
We found live pages stating Peec AI self-serve users choose three engines from a list of seven, when its own documentation says six are included on every plan. We found pages stating it has no API on any tier, when the documentation lists a REST API and an MCP server. Both pages describe an older product. Neither has been corrected.
The star ratings need the same handling. Profound sits at 4.6 from more than 140 G2 reviews, Otterly at 4.8 from 54, Peec AI at 4.8 from 18. The highest scores have the smallest samples, which is how every young product looks, because the people who churned early never wrote a review.
How we would choose
On price alone: Rankscale. $99 for this workload, $20 for a smaller set, ten engines on every plan, and full credit arithmetic published. You are accepting a two-founder bootstrapped vendor with no published compliance posture.
If you already pay for Semrush: add the AI toolkit and stop thinking about it. Roughly $219 for this workload, no new vendor, and the ChatGPT data sits next to the rankings and backlinks that explain it. You are accepting four engines and no separate AI Mode surface.
If you need a free look first: AthenaHQ's 300-credit free tier shows you your own ChatGPT data without a purchase order, which is often enough to win the budget conversation.
If procurement and security decide this: Profound. The only published SOC 2, SSO and SAML here, the largest funding base at $58.5M, and the only review base large enough to be meaningful.
For most teams, Peec AI. Not because it wins on ChatGPT alone, where it is third cheapest, but because it is the only one of the affordable options where adding Google, Perplexity, Gemini and Copilot costs nothing and requires no plan change. It also tracks ChatGPT through both the interface and the search API, and shows the sources behind each answer classified by type, so you can see whether ChatGPT skips you because nobody writes about you or because your own pages are not being retrieved. The trade-offs are real: founded in 2025, no free tier, and you are paying for six engines whether or not you use them.
Tracking is not ranking
Worth saying plainly. None of these tools moves your position in ChatGPT. They tell you where you stand.
What moves it is the work the source data points at: getting named on the third-party pages ChatGPT retrieves, making your own pages quotable enough to be repeated, and building review profiles the model trusts. Buy the tool to know whether that work is landing, and budget separately for the work itself.

