Almost every page ranking for this topic is written by a company selling one of these tools. That is the reason this comparison exists, and it is worth stating our own position before anything else.
3rive sells AI search visibility as a service, so we have a commercial interest in you concluding that running a tool yourself is work. We also use Semrush internally for keyword research, which we disclose because Semrush appears in the assessment below.
We do not link to any tool in this article. Everything here is named in plain text, and you can find any of them in a search.
What do these tools actually do?
Strip away the positioning and every product in this category does the same four things.
It stores a set of prompts. It runs them against one or more AI platforms on a schedule. It records whether your brand appeared, whether a link was included, and which competitors were named. Then it charts that over time.
That is the whole category. The differences are in coverage, frequency, volume limits, competitor handling and reporting, not in what is fundamentally being measured.
Understanding that is useful, because it tells you what a tool cannot do. It cannot decide which questions your buyers ask, and it cannot tell you why an answer changed.
How do you judge one? The six criteria
1. Platform coverage. Which AI systems it queries, and how. Prefer depth on the two or three that matter to your buyers over breadth across ten.
2. Prompt volume. How many prompts your plan allows. Most small businesses need 15 to 50; anything beyond that is usually multi-brand or multi-market.
3. Sampling frequency and runs per prompt. The most under-examined specification in the category. A tool that runs each prompt once a week produces a series dominated by run-to-run variance rather than by change in your visibility.
4. Competitor tracking. Whether it records every brand mentioned or only the competitors you name. Recording everything is far more useful, because the brands beating you are often ones you had not listed.
5. Sentiment and description capture. Whether it stores the actual wording of the mention or only a yes or no. Without the wording you cannot diagnose an inaccuracy or find its source.
6. Reporting and export. Whether you can get the raw data out. Anything you cannot export, you cannot verify, and dashboards decay in usefulness faster than spreadsheets do.
The comparison
Vendor specifications in this category change monthly, so a table of per-tool features would be wrong within a quarter. This compares the four tiers you can actually choose between, which is the decision you are really making.
| Manual spreadsheet | Entry-level tracker | Mid-market platform | Enterprise suite / SEO add-on | |
|---|---|---|---|---|
| Platforms | Any you can access | Usually 2 to 4 | 4 to 8 | Varies, often broadest |
| Prompt volume | Whatever you have time for | Tens | Hundreds | Hundreds to thousands |
| Sampling frequency | When you run it | Weekly typical | Daily typical | Daily, often configurable |
| Runs per prompt | Your choice, and usually better | Often one | Multiple | Multiple |
| Competitor tracking | Manual, complete | Named competitors only | Automatic brand extraction | Automatic, plus market view |
| Sentiment capture | Full wording, by hand | Limited | Yes | Yes |
| Export | It is already a spreadsheet | Usually CSV | CSV and API | API |
| Free tier | Free by definition | Common, limited | Rare | No |
| Cost | Your time, 2 to 3 hours per round | Low monthly | Several times higher | Quoted |
| Best for | Under 20 prompts, one market | One brand, one market | Agencies, multi-service businesses | Multi-brand, multi-market teams |
The honest read: most businesses under about 20 prompts get everything they need from the first column, and most of the rest get everything they need from the second.
Tool-by-tool assessment
Named in plain text, assessed on what they are for rather than on specifications that will have changed by the time you read this.
Semrush. An established SEO suite that has added AI visibility tracking alongside its keyword and competitive tooling. The advantage is that AI mentions sit next to your organic data, so you are looking at one picture instead of two. The disadvantage is that you are buying a suite, and the AI component is one part of a larger subscription. We use Semrush for keyword research, so treat this assessment as informed but not disinterested.
SE Ranking. Similar shape at a lower price point, positioned at agencies and smaller in-house teams. Reasonable if you want AI tracking bundled with rank tracking rather than as a separate line item.
Profound. Built specifically for this problem rather than bolted onto an SEO suite, and priced accordingly. Strongest where you need depth of analysis on how you are described, and hardest to justify for a single small business.
Peec AI. A newer, narrower product aimed at teams that want prompt tracking and competitor share without a full platform. Straightforward, and worth looking at if the suites feel oversized.
Otterly.AI. Aimed squarely at smaller businesses, with a simpler interface and lighter reporting. A sensible first paid step up from a spreadsheet.
Ahrefs and other SEO suites. Most major SEO platforms have added brand-mention tracking across AI platforms. If you already pay for one of them, check what is included before buying anything additional, because a large share of buyers in this category are paying twice.
The genuine differences between these products are smaller than their marketing suggests. Choose on platform coverage, sampling frequency and whether you already pay for the suite it lives in.
What do none of them measure well?
This is the section the vendor pages cannot write, and it is the reason this article exists.
Variance. The same prompt returns different answers on different runs. A tool that samples once per prompt per period reports movement that is noise, and most reporting presents that line as if it were signal. Ask any vendor how many runs per prompt they average, and treat a vague answer as a no.
Prompt-set bias. The tool measures the questions you gave it. If your prompt set is skewed towards questions where you already do well, your dashboard will look excellent while you remain invisible on the questions that produce buyers. No tool corrects for this, and no tool warns you about it.
The gap between citation and revenue. Being mentioned is not being visited, and being visited is not being paid. Much AI traffic arrives without a referrer and lands in your analytics as direct, so the link between the dashboard and the bank account is weaker than the charts imply.
Why something changed. A tool tells you your share of voice fell four points. It cannot tell you whether a competitor got listed in a roundup, a source page was updated, or the platform changed how it retrieves. That diagnosis is manual work every time.
Personalisation and context. Answers differ by account history, location and device. Tools query from their own environment, which is not your customer’s.
What follows from this. Use these tools to spot direction and to save time, not to produce a precise number. Anyone presenting AI visibility to two decimal places has misunderstood what is being measured.
Free and manual alternatives
For a business tracking under 20 prompts, the manual method is not a compromise. It is more accurate on the things that matter, because you control the number of runs and you capture the full wording.
The method takes an afternoon to set up: build the prompt set, run each prompt three to five times in a logged-out session across your chosen platforms, and score each run in a sheet. The full process is in how to measure AI search visibility.
Two free data sources supplement it. Google Search Console shows what is happening to clicks and impressions on queries where AI answers appear, using the performance report. And a referral segment in your analytics catches the AI traffic that does arrive with a referrer.
The one thing the manual method costs you is consistency. People skip a month, then another, and the series breaks. If you know that is you, a cheap tool that runs whether you remember or not is better than a perfect method you abandon.
Do you actually need one?
Three questions decide it.
How many prompts do you need to track? Under 20 and you can do it by hand. Over 50 and you cannot, realistically.
Does anyone else need to see the numbers? If a client, a board or an owner needs a monthly report, the reporting alone can justify the subscription.
Are you going to act on it? This is the one that matters. A dashboard nobody acts on is a subscription, not a strategy, and the failure rate in this category is high because measurement feels like progress.
If you are early, start with the spreadsheet. Prove that you will run it three months in a row, learn which prompts actually matter, and buy a tool once you know what you need it to do. Buying first almost always means paying to automate the wrong twenty questions.
And if you would rather not run any of it, that is what we do. We build the prompt set, run the sampling properly, and report on what changed and what to do about it.