SeeWAIS
2026-10-16

AI brand monitoring tools: what they watch, what they miss, and what they cost

Otterly, Semrush, Ahrefs Brand Radar and Peec — what each one tracks about your brand in AI answers, vendor prices checked October 2026, our price current as of 21 October 2026, and the honest ledger on subscriptions versus one-time measurement.

Assistants now describe your business before a buyer reaches your site, and "what are they saying about me?" has become a monitoring problem of its own. A small shelf of tools has grown up around it, all of it sold by the month. This is what each one actually watches, what the published prices are — and the part the dashboards do not cover, plus an honest ledger on subscriptions versus a one-time measurement.

Vendor prices referenced here were read from each vendor's own pricing page on 2026-10-07 — the full checked table is on what a brand mention in AI costs; our price is current as of 21 October 2026. Tiers change; verify before you buy.

Three questions hiding inside one phrase

"AI brand monitoring" is sold as a single job. It is really three:

  • Do you appear? Whether the assistant named your business when a buyer asked a question you sell against.
  • How are you described? Which services and strengths come up, in what tone, alongside which competitors.
  • Is any of it true? Whether that description matches what you actually do and what you actually charge.

The tools below cover the first two well. The third is barely on the shelf at all, and it is the one that decides whether a mention helps you or costs you. A business can be named in every answer and still be described as offering a service it dropped two years ago, or quoting a price it has never charged. That is not a visibility problem. It is a facts problem, and tracking does not reach it.

The tools, with published prices

Each vendor's full tier list is kept in one checked table — what a brand mention in AI costs, read from their own pricing pages on 7 October 2026 — so this section sticks to what each tool actually watches, which is the part a rate card does not tell you.

Otterly.ai — a monitoring suite for marketing teams, sold by tier. It follows brand mentions and links across ChatGPT, Perplexity and Google's AI surfaces. Watch how the tiers are built, though — Google AI Mode, Gemini and Claude are add-ons charged per engine, so the engine you care about most may sit outside the headline plan. Best fit: a team that wants mentions and sentiment followed on a schedule without running any checks itself.

Semrush — if your team already pays for Semrush, the AI layer arrives as an upgrade to a higher plan tier rather than a second subscription. For anyone else, that is a lot of SEO tooling bought to watch a single brand.

Ahrefs Brand Radar — attaches to an Ahrefs subscription, with an index-level entry and a metered prompt-level tier, where daily prompt caps and monthly check caps decide what the number really buys. The fit is narrow but real: Ahrefs is already your backlink tool, and you want AI citations next to that data.

Peec AI — Berlin-based and aimed at larger brands, with media and consumer names among its customers. You get a firm price from the vendor on a call, not from the website. If that is the comparison you are running, there is a price-checked ledger of the one-time alternative.

Notice the shape of the whole shelf: every tier is billed by the month, and the cheapest one costs $29 a month — about six times what our whole one-time measurement costs. That difference is the real decision, and it is worth getting the frame right. A subscription sells you the next measurement. It never sells you the first one.

What a dashboard shows, and what it cannot

A monitoring product produces a weekly picture of presence: mentions over time, share of voice against named competitors, which sources the assistants cited, and a sentiment label. All of that is real and useful. None of it tests the sentence it counted. A wrong sentence still counts as a mention, and a flattering wrong sentence can even score as positive sentiment.

Here is what that looks like in practice. In our published sample — a Nashville med spa, measured fresh, not a hypothetical — the assistants got 14 facts demonstrably wrong out of 333 claims we checked against the business's live pages: services it does not offer, attributes it does not have. The same answers produced 53 price quotes. Of those, 36 matched the business's own pages exactly, and 17 had no price on the site to check against at all.

Now put those results in a dashboard instead of a report, and this is what a subscriber would see. All 14 errors appear as brand mentions, week after week, next to an upward trend line. The 17 unverifiable price quotes do not appear at all, because the site gives the tool no baseline to compare them with, so nothing gets flagged. A dashboard like that shows the symptom and hides the cause, and the cause is usually fixable in an afternoon: publish what you charge in a form machines can read, state plainly which services you offer, and the sentences assistants assemble about you get better raw material.

So the useful order is: check the facts first, fix the sources, and pay for cadence last. Watching a wrong answer more often only means you see the wrong answer more often.

The ledger: does a subscription earn its fee?

The honest version: a subscription is a cadence product. The first measurement tells you what to fix; the subscription re-runs it and alerts you to change. Both are legitimate purchases — the fee is easy to justify in some setups and hard in others.

It earns its money when:

  • The report is the deliverable — an agency reselling visibility reports to clients, or a marketing team reporting a monthly number to head office.
  • You run many locations or several brands, where nobody can check by hand and the per-brand cost falls as you scale.
  • Someone on your side acts on the weekly delta: a new wrong claim appears, a competitor gains share, a source you relied on drops out.
  • Misinformation is a live risk — regulated categories, PR-sensitive brands — and knowing within days rather than quarters is worth real money.

It struggles when:

  • You run one business in one market and have not read your first census yet. There is nothing to monitor until you know what you are watching.
  • Nobody logs in after month two. Plenty of owners check twice, then leave the subscription running without ever opening it again, and no tool can tell the difference.

The prices make the arithmetic worth doing: entry tiers start at $29/month, prompt-level tracking at $199/month, and an all-models view at $699/month. We wrote the full ledger on one-time reports versus monitoring, including which setup each approach genuinely fits and the questions worth asking a vendor before you sign anything.

The middle path most single-location businesses end up on

Measure → fix → re-measure → re-measure once more a quarter later. Three measurements over six months, no dashboard, no login.

Our own product is the first of those measurements: $4.99 once, for 30 real buyer questions put to five live AI surfaces (176 graded answers, 302 API calls), with every checkable claim fact-checked against your live pages — the same kind of check that found the 14 errors in the sample. What it costs and a complete real report are both public; read the report before deciding anything.

How young this shelf still is

Worth knowing when you read the listicles: the top results for "AI brand monitoring tools" are mostly small vendors and their blog posts, a LinkedIn post and a Reddit thread, with a single Semrush page in the mix (checked 2026-10-07). Two things follow. The category is young, so expect prices and features to move quickly. And the third question up top — accuracy — is the least served part of the shelf: a couple of newer entrants market "AI misinformation" alerts for specific platforms. If wrong descriptions are what worries you, start with the free routes below rather than waiting for the market to mature.

The free routes

Not everything here needs a subscription:

  • Google Search Console — its Performance report carries AI Overviews impressions straight from Google, the only place you can see which of your own pages the AI surfaces actually showed.
  • Manual spot checks — put the same 10–20 buyer questions to ChatGPT, Perplexity and AI Overviews once a month, in a clean session, and write the answers down. It is rough, it costs nothing, and it surfaces the wrong sentences a dashboard summary smooths away.
  • Our own free check runs a technical pre-flight and prints all 30 questions a full measurement would ask. No account, no card.

If you take one thing from this list, take this: monitoring tells you how often you are mentioned. It will not tell you whether the mention is true. Start with the free check, and if you want the fuller picture of what a tracker would and would not have caught, the AI Overviews tracking piece covers the neighbouring question.

What does AI say about your business?

The free check reads your site and shows you the exact questions we would ask — before you enter any card details. The full report is $4.99 once.

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