Comparison · Tools
The best LLM tracking tools (for agencies and brands)
By Kristian Stig Henriksen · Dear Future
The best LLM tracking tool is the one that can answer five methodology questions precisely: which model version, real web search or memory, how often it measures, whether uncertainty is shown, and whether you can read the raw answers. Here are the five questions and an honest rundown of six platforms, including our own.
Honest label: Dear Future builds the AI Visibility Engine, so read our take on the others as a competitor's. We keep it factual and link to them directly so you can verify for yourself.
The five questions that separate the tools
- Which model version is measured, exactly? An unnamed “ChatGPT” can be swapped out without your trend line ever telling you.
- Is it measured with real web search, from your country and in your language? Answers from the model's memory cite almost nothing and do not resemble what your buyers see.
- How often is it measured? Daily measurements can separate development from noise; weekly and monthly samples cannot.
- Is the uncertainty shown? A share without a confidence interval is a hunch with decimals.
- Can you read the raw answers behind every number? Without them you cannot verify anything.
The tools, described honestly
Peec AI
European platform built for marketing teams that want to work in dashboards themselves. Broad model coverage, multiple markets and an open approach to methodology; Peec is among the most transparent in the field. Fits teams with their own resources who want to run the analysis themselves.
Profound
US platform aimed at enterprise: large brands and agencies with many markets and stakeholders. Broad monitoring across assistants in a large suite. Fits organizations that buy enterprise software and have a team to run it.
Otterly.AI
Accessible monitoring tool for smaller companies and agencies. Tracks prompts across ChatGPT, Perplexity and Google AI Overviews among others, at a low entry price. Fits small setups that want to get started without a big commitment.
AccuLLM (AccuRanker)
AccuRanker's LLM module, built by the rank-tracking company from Aarhus, Denmark: visibility across prompts, sentiment, cited sources and competitors in ChatGPT, Perplexity and AI Overviews among others. Fits SEO teams already working in AccuRanker who want the AI numbers in the same place.
Ahrefs Brand Radar
Ahrefs' AI visibility module inside their SEO suite: brand mentions, citations and share of voice in AI Overviews and assistant answers, next to the classic search data. Fits teams already paying for Ahrefs who want to start there before buying a dedicated tool.
Dear Future AI Visibility Engine
Our platform: daily measurement with real web search and named model versions, uncertainty shown with confidence intervals, raw answers stored in the EU, and a roadmap that turns gaps into concrete tasks, also via MCP inside your own AI assistant. Delivered with advisory on top. Fits brands that want the measurement turned into a plan, with Danish and Nordic grounding.
The grid: six platforms against the five questions
Here is the grid to take to each vendor. We have filled in our own column so you can see what a concrete answer looks like, and what you can hold us to.
| Methodology question | Peec AI | Profound | Otterly.AI | AccuLLM (AccuRanker) | Ahrefs Brand Radar | Dear Future AI Visibility Engine |
|---|---|---|---|---|---|---|
| Named model version | Ask them | Ask them | Ask them | Ask them | Ask them | Named on every data point |
| Real web search, your country and language | Ask them | Ask them | Ask them | Ask them | Ask them | Yes, from your market and in your language |
| Measurement frequency | Ask them | Ask them | Ask them | Ask them | Ask them | Daily |
| Uncertainty shown on the numbers | Ask them | Ask them | Ask them | Ask them | Ask them | 95% Wilson confidence interval |
| Access to the raw answers | Ask them | Ask them | Ask them | Ask them | Ask them | Yes, stored in the EU |
We fill in our own column only, and that is deliberate. Not because the others cannot answer, several of them are open about their method, but because we will not put words in a competitor's mouth based on their marketing page. Follow the links, ask the five questions, and fill in the rest yourself. If a vendor cannot answer all five precisely, that is the answer.
How to run the evaluation
Shortlist two platforms and test them on your own category: the same ten buyer questions in both, a week of measurements, then compare. Ask both vendors the five questions, and ask to see the raw answers behind one concrete number. That decides more than any feature list. Judge price against scope: the number of questions, assistants, markets and competitors, not against the list price alone.
Also read the guide to measuring AI visibility and the method behind our numbers. Weighing an agency rather than a tool? Read who offers AI SEO in Denmark, and what it costs.
Test us on the five questions
See the measurement on your own category
Get an AI visibility analysis: your brand and your competitors, measured daily, with the raw answers available from day one.
Get the analysis →Frequently asked questions
What is the best LLM tracker for agencies?
The one that survives the five methodology questions and fits how the agency works: self-serve dashboards across many clients point to platforms like Peec or Otterly; large enterprise clients point to Profound; if the agency already sits in Ahrefs or AccuRanker, Brand Radar and AccuLLM are the natural starting points; and if the agency wants to deliver measurement plus an action plan as one service with Nordic grounding, our AI Visibility Engine is built for that.
What does an LLM tracking tool cost?
The price typically follows the scope: how many prompts, assistants, markets and competitors are monitored. The field's entry level is a low monthly subscription, enterprise suites sit substantially higher, and our own price follows the chosen scope. Always compare price against measurement frequency and method, not just prompt counts.
Can you track LLM visibility for free?
Yes, at small scale: ask ten to twenty buyer questions with web search switched on, note mentions and citations, and repeat on fixed days. That gives an honest snapshot and is the right first test of whether your category gets asked at all. Automation only becomes necessary when you want daily measurement across assistants.
Which is the best AI visibility platform for a Nordic market?
There is no single right answer, but there is a right question: does the platform measure in your language and your market? We build a Danish one, the AI Visibility Engine, so read our answer with that caveat. What actually separates a local solution is measurement on local buyer questions, raw answers stored in the EU, and advice in your own language on top of the numbers. Use the grid above and ask all six platforms the same five questions.
Which LLM tracking platforms are on the market?
The platforms relevant right now are Peec AI, Profound, Otterly.AI, AccuRanker's AccuLLM, Ahrefs Brand Radar and our own AI Visibility Engine. They do not solve the same problem: some are self-serve dashboards for marketing teams, one is an enterprise suite, and two are modules inside an SEO tool you may already pay for. The rundown above describes each and who it fits.
How do these platforms measure AI visibility?
In principle identically: they put a set of buyer questions to the AI assistants and count who gets named and cited in the answers. The differences are in the method, not the idea. Which model version is asked, whether real web search is used from your country, how often it measures, whether uncertainty is shown on the numbers, and whether you can read the raw answers behind them. Those are the five questions above, and they decide whether the numbers can carry a decision.