Add as preferred source on GoogleYou have probably already run the test. You opened ChatGPT, asked which companies do what yours does, and either you weren't in the answer at all, or you were fourth behind someone you have never once lost a deal to. Annoying. And the obvious next question is much harder to answer: why?
That is the job these tools do. They ask your questions every day, write down who got named, and the good ones show you which pages the model read before it answered.
That last part is the only bit you can actually do something about, so it is what we weighted most heavily. Here are five we would put in front of a client.
At a glance
| # | Tool | Best for | From |
|---|---|---|---|
| 1 | Peec AI | The best all-in-one pick. Detailed analysis, solid data and clear recommendations you can act on, so you get from insight to impact fastest | $95/mo |
| 2 | Rankscale | The widest engine coverage per euro, if vendor size is not a question you have to answer | $99/mo |
| 3 | AthenaHQ | Seeing your real numbers for free first, then having the tool draft the follow-up work | Free, then $295/mo |
| 4 | Scrunch AI | Bigger brands in crowded categories who want a ready-made prompt library | $300/mo |
| 5 | Omnia | Trying this properly before you ask anyone for budget | €79/mo |
Prices and engine lists checked against each vendor's own pages on 14 September 2026.
How big this actually is
If you need a number to take into a budget conversation, this is the one we use.
Graphite ran a study on how much of search has moved to AI. They took Similarweb data on the five biggest AI tools, checked it against Google Search Console, and found that AI now accounts for 56% of the volume of traditional search engines worldwide. In the US it is 34%.
The reason most people think it is much smaller is simple and easy to miss. Almost everyone measuring this has been counting web traffic only, and 83% of AI use worldwide happens inside mobile apps. Miss the apps and you undercount the whole thing by four to five times.
So if someone in your business is still calling this an emerging channel, they are probably looking at a number that ignores four fifths of it.
What you are actually buying
Every one of these will show you a visibility score. They all do it, they all do it fine, and it is not where they differ. So before you compare feature lists, it helps to know what the score is and what it isn't.
The score is the share of answers where you got named. That is an output. Something caused it, and the something is a set of web pages the model read on its way to answering.
So the real difference between these tools is whether they show you those pages. If they do, you can look at a question you lost and see why in about thirty seconds. Either the pages are other people's sites that never mention you, and you need coverage. Or the pages are yours, the model read them and didn't quote them, and you need to rewrite them.
Those two problems cost different money and belong to different people on your team. Picking a tool that cannot tell them apart is how you spend a quarter on the wrong one.
1. Peec AI
From $95/mo. Berlin, founded 2025.
You get six engines on the cheapest plan: ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Copilot. Most tools give you three or four at this price, so you are starting with a wider picture for the same money.
It is also the best answer to the question above. Under every answer it lists the pages the model read, and it sorts them into five groups: editorial, corporate, UGC, reference, and your own site. One look at the mix tells you which of the two problems you have.
There is one more feature worth understanding, even though it sounds like an IT thing. Peec can read your website's server logs. That means you can see the AI crawlers turning up and fetching your pages, instead of assuming they do. It matters because if a crawler never reaches a page, nothing written on it can help you, and most teams never check. Nothing else at this price will tell you.
Where it is not the pick. The company started in 2025, so there is not much track record yet if someone senior asks. There is no free tier, so your first look costs $95. The entry plan stops at 50 prompts and most brands pass that inside a quarter. And anything beyond the six engines, like Claude, is charged per engine on top.
2. Rankscale
From $99/mo. Europe, bootstrapped.
If you want to watch as many engines as possible for as little as possible, this is the one. Ten engines on every plan, more than 17 supported in total, and you can set it to run anything from once an hour to once a month.
They also publish the full formula for how credits get used up. That sounds dull and it is genuinely useful, because you can work out what next quarter costs before you sign anything. Almost nobody else in this category lets you do that.
Where it is not the pick. It is two founders and no outside investment. That is fine for you and awkward the first time your security team asks who you are buying from, because there is no SOC 2 or SSO published. The traffic reporting was still in beta when we checked. And the credits run down faster than you expect once you multiply prompts by engines by days.
3. AthenaHQ
Free tier, then $295/mo. United States, Y Combinator backed.
Two of the people who built this worked on Google Search and DeepMind, and it shows in how well it handles the retrieval side. You get eleven engines on every tier, including Meta AI and Amazon Rufus, which hardly anyone else covers.
The reason to start here is the free tier. Three hundred credits is enough to see your own real numbers without spending anything, and in our experience that is what wins the budget argument internally. A screenshot of your competitors named in answers where you are missing does more than any business case.
It also tries to do the next bit for you. An agent takes the findings and drafts the actual recommendations, on your pages and off them.
Where it is not the pick. One credit is one AI answer, and the 3,600 credits on the paid Starter plan will not cover a proper prompt set, so budget for more than $295. API access costs extra and is quoted on request. And at $2.2M raised it is the smallest company here.
4. Scrunch AI
From $300/mo. United States.
The entry plan gives you 350 prompts of your own plus a library of about a thousand industry ones. That library is more useful than it sounds. If you are in a crowded category you probably cannot guess every question your buyers ask, and it fills in the ones you would never have thought to write down.
You also get crawler analytics and site audits alongside the tracking, so it covers more of the job than the cheaper options.
Where it is not the pick. At $300 it is the most expensive way onto this list, and you only get seven days to try it rather than a free tier. Extra seats are $25 each and that adds up across a team. And if your category is narrow, most of that prompt library is volume you will never read.
5. Omnia
From €79/mo. Madrid, founded 2024.
The easiest way to start if you are not yet sure this matters for you. Fourteen days free, no card, then €79. Both of Google's AI surfaces are switched on by default.
The part clients enjoy most is the prompt discovery. It surfaces the questions people actually ask about your category, and it is almost always more interesting than the keyword list they walked in with. Expect at least one question that makes someone in the room say they had not thought of that.
Where it is not the pick. Four engines by default is the narrowest coverage here. Twenty-five prompts on the entry plan is a pilot rather than a programme. There is no multi-client plan, so agencies outgrow it around the third client. And it does not report AI traffic at all.
Questions we get asked
What should this cost? Between €79 and $300 a month for one brand, depending mostly on how many engines you want and how many questions you track. Most teams land near $250 once the prompt list is realistic.
How many questions should we track? A hundred to a hundred and fifty. Start with what your sales team gets asked every week. Add the comparisons buyers make between you and two named competitors. Then add the category questions where you would want to be one of the three names that come back. Under thirty and you are watching noise.
How often should we look at it? Collect every day, read it once a month. These answers wobble day to day for reasons that have nothing to do with you, and teams who check weekly end up explaining wobbles instead of progress.
Will a tool improve our visibility? No. It measures. What moves the number is being on the pages the models read, which means content and PR, and no tool here writes either. Buy one to find out where you stand and whether your work is landing, then budget separately for the work.
