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Best ChatGPT rank trackers in 2026

Five tools that check whether ChatGPT names your brand, compared on the four things that actually differ: what it costs to start, how many questions you can track, how often it checks, and which other engines you get for that money.

·8 min read

All five of these track ChatGPT. That is not the difference, and any comparison that makes it the headline is padding.

What actually separates them is mundane and important: how much you pay to start, how many questions that buys, whether it checks every day or once a week, and whether the other engines come included or as paid extras.

The comparison

ToolEntry pricePromptsHow oftenEngines at that priceTry without paying
Bee LLMFree, then €19.90/mo10DailyChatGPT free. From €19.90 also Gemini, Perplexity and AI OverviewsFree plan, no card
Otterly€29/mo15DailyChatGPT, AI Overviews, Perplexity, Copilot. Gemini and AI Mode +€9 each, Claude +€29Free trial
LLM Pulse€49/mo50WeeklyChatGPT, Perplexity, AI Mode, AI Overviews, Gemini14-day trial
Peec€85/mo50DailyAny 3 of ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, Gemini. Extra models +€25Free trial
ProfoundNot published50DailyChatGPT only on the entry planTrial on the Growth plan

Every figure taken from each vendor's public pricing page on 1 August 2026. Prices exclude VAT. These change often, so check before buying.

What is the cheapest way to track ChatGPT?

A free plan, if one covers what you need. Bee LLM's free plan asks your questions to the real ChatGPT every day with no card, which makes it the only way on this list to get a daily number without paying anything.

Among paid entry plans the order is Bee LLM at €19.90, Otterly at €29, LLM Pulse at €49 and Peec at €85. Profound does not publish a figure, which is itself information: if the price is not on the page, you are in a sales conversation, not a signup.

Which one gives you most for your money?

Two things decide this and most comparisons only look at one. The first is how much measurement you get: a question checked daily produces thirty answers a month, the same question checked weekly produces four. The second is which engines are included, because four engines that leave out the one your customers use are worth less than three that include it.

So the unit is the answer: one question, asked to one engine, on one day. It is how the work is actually done, and the unit Peec uses in its own FAQ to explain its pricing.

ToolPriceQuestionsHow oftenEngines included at that priceAnswers a monthCost per answer
Otterly€2915DailyChatGPT, AI Overviews, Perplexity, Copilot
Gemini and AI Mode +€9 each, Claude +€29
1,800€0.016
Bee LLM€19.9010DailyChatGPT, Gemini, Perplexity, AI Overviews
AI Mode, Copilot, DeepSeek and Qwen from the Pro plan
1,200€0.017
Peec€8550DailyAny 3 you pick of ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, Gemini
Each extra model +€25
4,500€0.019
LLM Pulse€4950WeeklyChatGPT, Perplexity, AI Mode, AI Overviews, Gemini
The widest set at entry level
1,082€0.045

Answers a month = questions × checks per month × engines included at that price. Thirty days a month, and 4.33 weeks for the weekly tool. Profound is left out because it does not publish a price. If you only count questions rather than answers, LLM Pulse comes out cheapest and we come out last, but that count ignores frequency and engine coverage.

The engine mix matters as much as the number

Four engines is not four engines. Otterly is the cheapest per answer on this table, but its €29 plan does not include Gemini or AI Mode: adding both takes it to €47 and its cost per answer above ours. Our four include Gemini but not AI Mode or Copilot, which need the Pro plan. Peec lets you choose which three, which is the most flexible arrangement here if you already know where your customers are.

LLM Pulse is the most expensive per answer, and also the only one that gives you five engines including AI Mode at the entry price. If breadth at low cost is what you need and weekly is enough, that trade is a reasonable one.

One more thing both counts miss: if you only have ten questions, paying €85 to track fifty is worse value than paying €19.90 to track ten, however good the unit price looks. Buy the size you need.

What else comes in the entry plan

Two tools can charge the same for the same questions and still be worth very different amounts, because the entry plan is where vendors put the limits. These are the ones that bite.

ToolEntry priceProjectsCompetitorsConnector for AI agentsFree plan
Bee LLM€19.9015Yes, read and writeYes, daily, no card
Otterly€291 workspaceNot publishedNo, from €189Trial only
LLM Pulse€49110Yes, MCP. No API at this tier14-day trial
Peec€851Not publishedNo, API from EnterpriseTrial only
ProfoundNot publishedNone at this tierNot publishedNo, API from EnterpriseTrial on the Growth plan

Taken from each vendor's pricing page on 1 August 2026. "Not published" means the pricing page does not state a number, not that there is no limit.

The connector is the one that surprises people

A connector lets you plug the tool into ChatGPT, Claude or Cursor and ask your own data questions in the chat, instead of opening a dashboard. It is the difference between reading a report and asking "which of my questions did I lose this week and what should I write about it".

Only two of the five include one at entry level. Otterly puts it behind its €189 plan, Peec does not offer it on any published tier, and Profound keeps the API for Enterprise. Ours is on every paid plan and it also writes, so the assistant can create or pause questions and mark actions as done, not just read.

Where we are not better

Two things worth saying plainly. Projects: everybody gives you one at entry level, us included. If you handle several brands you need to go up a tier everywhere. Ours is the cheapest jump, €39 for three projects against €205 for two on Peec, but at the entry price nobody is more generous than anybody else.

Competitors: LLM Pulse gives ten and we give five. If tracking a crowded market is your main job, that is a real point against us at this price.

How many questions do you actually need to start?

Fewer than the pricing pages suggest. Ten well chosen questions, checked daily across four engines, produce 1,200 answers a month. That is 120 observations per question, which is far more than you need to tell a real trend from noise.

The number that matters is not how many questions you track, it is how many times each one gets asked. The research on this found that a ranking needs somewhere upward of forty observations before it settles, and that the margin of error narrows by about 29% each time you double the measurements. Ten questions asked every day clears that bar in the first fortnight. Fifty questions asked once a week does not clear it in a month.

There is also a practical point. Most brands do not have fifty distinct questions a buyer would actually type. They have eight or ten obvious ones, plus a long tail of variations that return more or less the same answer. Tracking the variations feels thorough and tells you very little, and it works against you: the page that answers one question precisely beats the page that half-answers twenty.

So the sensible way to start is the cheap way. Pick the ten questions you would be embarrassed not to appear in, watch them daily for a month, and see where you actually stand. That costs €19.90, or nothing at all on the free plan with one engine.

When ten is not enough

Three cases, and they are easy to recognise:

In those cases go up a tier, on whichever tool. What does not make sense is paying for fifty questions on day one to find out whether the AI knows you exist.

Does checking daily instead of weekly really matter?

Yes, and it is measurable rather than a matter of opinion. Ask a generative engine the same question twice and it returns a substantially different set of sources: researchers who repeated the same queries found only three to five out of every ten pages repeated from one run to the next.

That variability is the whole problem. The same work calculated that the margin of error narrows by about 29% each time you double the number of measurements. A weekly tool collects roughly a seventh of the observations, so it needs considerably longer before a change can be told apart from noise.

That does not make weekly useless. If you are tracking 50 questions and only need a monthly report, weekly is fine and cheaper. If you are trying to tell whether something you published last week did anything, it is not enough. We go through the numbers in how we measure.

The traps to check before you pay

So which should you pick?

There is no single winner, because the tools are priced for different sizes of problem. Here is the honest mapping.

You are starting out and want data before you spend

Bee LLM. Ten questions checked daily across four engines is 1,200 answers a month, enough to know where you stand in a fortnight, for €19.90. The free plan gets you a daily ChatGPT number with no card at all. Ours, so weigh it accordingly.

You need 50 questions checked daily

Peec. It is the most expensive entry plan on this list, but at that volume it is the best value per prompt among the daily tools, and you pick which three engines matter to you.

You need a lot of prompts and weekly is enough

LLM Pulse. Cheapest per prompt by a distance and it includes five engines at entry level. Just go in knowing the frequency is weekly on every standard plan.

You want ChatGPT plus Copilot and AI Overviews cheaply, with few questions

Otterly. Fifteen prompts and four engines for €29, with the rest available as small add-ons rather than a plan upgrade.

You are an enterprise and want depth over price

Profound. The entry plan tracks ChatGPT only, but the higher tiers go widest of anything here, and it is built for teams with a procurement process rather than a credit card.

What none of them can do

Worth saying, because it applies to every tool on this list including ours. A tracker tells you whether you are named and what the answer was built from. It does not make you named.

The published research is fairly humbling on that point: a review of 45 studies found that what has been demonstrated with rigour is your share of the answer once your page has already been retrieved. Reliably making an engine find you more often is not proven yet. And an audit of 37,000 AI answers found that about half of small and regional brands never appeared at all. Any vendor promising guaranteed visibility, us included, is ahead of the evidence.

Questions people ask

Do all of these track ChatGPT?

Yes, all five at their entry plan. What differs is frequency, prompt allowance and which other engines are included rather than sold separately.

Which is cheapest?

Free, if a free plan covers you. Otherwise Bee LLM at €19.90, then Otterly at €29, LLM Pulse at €49 and Peec at €85. Profound does not publish a price.

How many questions do I need to start?

Ten is usually plenty. Checked daily across four engines that is 1,200 answers a month, or 120 per question, well above what it takes to tell a trend from noise. You need more only if you sell in several countries, have unrelated product lines, or run client brands.

Which ones include a connector for AI agents?

Two of the five at entry level: ours, on every paid plan and with write access, and LLM Pulse, which includes MCP but no API at that tier. Otterly puts its connector behind the €189 plan, Peec does not offer one on any published tier, and Profound keeps the API for Enterprise.

Are you biased?

Yes. Bee LLM is ours. That is why every number links to the vendor's own pricing page and why the section above names a different tool for four of the five situations.

How often do these prices change?

Often. Two of the five changed between the last time we checked in June and this update in August. Treat any comparison page, including this one, as a starting point rather than a source of truth.

Try the free one first

Bee LLM's free plan asks your questions to ChatGPT every day and keeps the history, with no card. If it is not the right fit, the table above says which of the others is.

Start free

Pricing verified on the vendors' own pages on 1 August 2026. Read next: tracking your brand in ChatGPT, how we measure and how Bee LLM compares one to one.