Free AI visibility offerings split into two kinds that get confused constantly: permanent capability-limited tiers from tracking vendors, and one-shot web checkers that run a prompt once and report a percentage. Only the first can produce a trend.
The most useful free data in the category is not from a checker at all. It is Microsoft’s first-party citation report, which is a census rather than a sample.
Last updated: 17 August 2026. Free tiers change more often than paid ones, so this page is rechecked quarterly.
A one-shot checker returning “you appear in 20% of answers” is reporting a single observation with a percent sign attached. The arithmetic underneath that number is worth understanding before you make a decision on it.
What is actually free in this category?
Three genuinely different things, and they are not substitutes for each other.
| What it is | Example | What it measures | Where it stops |
|---|---|---|---|
| First-party citation data | Bing Webmaster Tools, AI Performance report | A count of citations Microsoft observed, plus the queries that retrieved you | Microsoft surfaces only, and citations rather than mentions |
| Permanent free vendor tier | AthenaHQ Essential; Rivarise Free | Real tracking on a capped prompt count and engine set, with history | Sample size. Caps are small enough that intervals stay wide |
| One-shot web checker | The “check your brand” form on many vendor sites | One prompt, usually once, usually on one engine | Everything. No interval, no trend, no stored answers |
The first row is the one most teams have never opened, and it is the only one giving you data you did not have to sample for. It is also the only one where the word free carries no asterisk: there is no prompt cap, no engine limit within its scope, and nothing expires.
The third row is where the confusion sits. A one-shot checker and a free tier both cost nothing, so they get filed together, but one accumulates history and the other does not. That difference decides everything you can do with the output.
Why is the first-party report the best free option?
Because it is a count of what actually happened rather than an estimate from a sample. Microsoft’s AI Performance report shows “the total number of citations that are displayed as sources in AI-generated answers,” the average number of unique cited pages per day, and “the key phrases the AI used when retrieving content that was referenced in AI-generated answers.”
That third item is the valuable one and it has no equivalent anywhere else at any price. Every other tool infers which questions might retrieve you. This one records which questions did.
The limits are real and worth stating. It covers Microsoft surfaces and says nothing about ChatGPT, Perplexity, Claude or Google’s AI features, which run separate retrieval over separate corpora. And it counts citations, so an answer naming you without linking you never appears. The wider case for using it anyway is in how Copilot inherits Bing’s index.
What do the permanent free tiers give you?
Real tracking with a small sample. AthenaHQ’s Essential tier is free with 300 credits and $25 of credit, covering ChatGPT, Perplexity, AI Overviews, Gemini and Claude, with unlimited members. Rivarise’s free plan covers ChatGPT with three prompts a week on one brand.
Both are capability-limited demonstrations rather than trials, and neither expires. That distinction matters more than it sounds: a countdown forces you to evaluate against a deadline, while a permanent tier lets you accumulate a small amount of history, which is the only thing that turns a number into a trend.
What they cannot give you is precision. A free tier producing a handful of observations a week carries an interval wide enough to swallow most movements, which is the arithmetic in is my AI visibility change significant.
Why can a one-shot checker not produce a rate?
Because a rate requires repetition and a single check has none. OpenAI’s advanced usage guide states that “Chat Completions are non-deterministic by default (which means model outputs may differ from request to request),” so one run is one draw.
Apply the interval for a proportion published in the NIST/SEMATECH engineering statistics handbook and the problem is immediate. At five observations, an observed 40% carries a 95% interval running from about 12% to 77%. At one observation the result is 0% or 100% and no interval exists at all.
An existence claim. One observation is genuinely enough to prove something is possible, and that is a real finding if you were at zero.
A frequency claim. Nothing about one run licenses a percentage, and a percentage is what these tools return.
What are the free checkers actually for?
Lead generation, mostly, and there is nothing wrong with that provided you read the output accordingly. A form that returns a number in ten seconds exists to start a conversation, not to run a measurement programme.
That shapes the incentives in a way worth noticing. A checker returning a reassuring number gives you no reason to buy anything, so the ones attached to a sales motion tend to surface a gap. This is not necessarily dishonest, because most brands genuinely do have a gap, but it does mean the number is selected to be actionable rather than to be representative.
Use them for the one thing they do well: a fast existence check on a category you have never tested. If the tool says an engine never names you across the prompts it tried, that is worth knowing in ten seconds. Just do not carry the percentage into a slide.
How far can you get without paying anything?
Further than most people assume, provided you accept the ceiling. Four steps, in order of value.
When should you stop working for free?
When the decisions get expensive. Free is sufficient for finding out whether AI answers mention you at all and which questions retrieve you. It stops being sufficient when you need to attribute a change to work you did, because attribution needs a sample large enough to have a threshold beneath it.
It also stops when hand-running becomes the constraint. Fifty observations by hand is an hour; the 450 needed to detect a ten-point move is a week you will not spend twice, which is the practical case for paying somebody to run it, priced out in how much do AI visibility tools cost.
If you do move to a paid tool, the sub-$200 field is compared in AthenaHQ alternatives, and the question to ask every vendor is the requery frequency, because that single number decides whether you are buying measurement or a series of one-shot checks with a subscription attached.