AI visibility tracker — every engine, one price
An AI visibility tracker measures, continuously, how often each AI engine mentions, cites and recommends your brand — and how that changes over time. The distinction that matters is coverage: your buyers do not all use the same assistant, so a tracker watching one engine leaves the others dark. steek tracks ChatGPT, Perplexity, Gemini and Google AI Overviews from one place, all included at a flat €19/mo with no per-engine upcharge, and reports every number with a 95% confidence interval so you can tell a real move from sampling noise.
The short version
- Four engines, one tracker: ChatGPT, Perplexity, Gemini and Google AI Overviews — each with its own detail page below.
- One price: all four included from €19/mo (€29.90 month-to-month). No per-engine add-ons.
- Tracking ≠ checking: a single check is a snapshot; tracking is repeated sampling, which is the only way to see a trend.
- Every number carries a 95% confidence interval, and alerts only fire when a change is statistically real.
- Honest limit: tracking starts the day you start — there is no day-one historical backlog.
Tracking is not checking
Almost everyone starts the same way: they open ChatGPT, type “what's the best [category] near me?”, and either feel relieved or sick. That is a check, and it is worth doing once. It is not tracking, and treating it as tracking is how people reach confident, wrong conclusions.
The reason is volatility. Independent tracking finds that 40–90% of the domains an engine cites can change when the same question is re-asked over time. The identical prompt, on two days, can surface different brands and different sources. So one check that shows you present may have been lucky, and one that shows you absent may have been unlucky — and neither tells you whether the work you did last month landed.
Tracking fixes this by doing three unglamorous things: asking the same prompts repeatedly, on a schedule, across every engine; recording the outcome each time rather than the last time; and reporting the result as a range rather than a point. That is why steek puts a 95% confidence interval on every metric. A move from 42% to 35% means something different if the interval is ±3 points than if it is ±10 — and steek's alerts are CI-gated, so you are pinged when a change is statistically real, not every time a number wobbles.
The four engines steek tracks
Each engine behaves differently — different sources, different phrasing, different appetite for naming brands — so steek tracks each one separately and reports them the same way, which is what makes their numbers comparable. Each has its own detail page:
ChatGPT visibility tracker
The most-used assistant, and usually the first place a buyer asks for a recommendation. steek tracks mention share, recommendation share and cited sources for ChatGPT — see the ChatGPT tracker page for detail, or how to rank on ChatGPT for the playbook.
Perplexity visibility tracker
Perplexity shows its sources inline with the answer, which makes it the clearest read on which pages are earning you mentions and where a rival is being cited instead. Full detail here.
Gemini visibility tracker
Google's assistant, grounded in Google Search and shipped across Google's own surfaces — a different citation pattern from ChatGPT's, which is why it needs measuring separately. Full detail here.
Google AI Overviews tracker
The surface most likely to already be affecting your traffic, because it sits above the classic results you used to rank in — and it is the reason AI visibility is not just a rank-tracking problem. Ahrefs found only about 37.9% of AI-cited URLs also rank in Google's top 10 (Ahrefs), so your rank tracker cannot stand in for this. Full detail here.
Beyond those four, engine count has diminishing returns. An extra long-tail model your customers never open adds a row to a dashboard, not a decision. If you are weighing this up, which AI engines are worth tracking makes the case in full.
Why per-engine pricing is the category's hidden tax
Here is the pattern that catches buyers out. A tracker advertises seven or nine engines, you pay the entry price, and then discover the plan you bought covers three or four of them — the rest are add-ons or a higher tier. The advertised coverage and the coverage you own are different numbers.
Otterly's Lite plan is $29/mo (verified on their pricing page) but covers only 15 prompts and 4 engines, with Gemini/Claude/AI Mode as paid add-ons; the genuinely usable Standard plan is $189/mo. Peec's Starter plan is reported at around €89/mo (some reviews list ~$95) and covers only 3 of its 7 engines; extra engines are paid add-ons. Peec hides exact amounts on its pricing page, so treat these as publicly-reported figures. Scrunch's Core plan is reported around $250/mo billed annually (~$300 monthly) for 125 prompts across 4 models; its 9-model coverage and hallucination detection are locked to Enterprise. And at the top end, Ahrefs Brand Radar runs $398/mo (Select) to $699/mo (All Platforms, 6 engines), verified on Ahrefs' pricing; it offers a free AI Visibility Checker and a large historical index.
| steek.ai | Otterly.ai | Peec AI | Scrunch AI | Ahrefs Brand Radar | |
|---|---|---|---|---|---|
| Entry price | from €19/mo | $29/mo (Lite, verified) | ~€89/mo (Starter, reported) | ~$250–300/mo (Core, reported) | $398–$699/mo (verified) |
| Engines at that price | ✓ All 4 included | 4 engines on Lite; more are add-ons | 3 of 7 engines on entry; more cost extra | 4 models on Core; 9 on Enterprise | Up to 6 engines on All Platforms |
| Cost of more engines | ✓ No upcharge | Paid add-ons; Standard $189/mo | Paid add-ons (reported) | 9 models on Enterprise (reported) | 6 engines at $699/mo |
| Built for | Small businesses & ecommerce | Solo marketers & small teams | Marketing teams & agencies | Mid-market & enterprise | SEO teams & agencies |
steek's position is the simple one: ChatGPT, Perplexity, Gemini & Google AI Overviews — all included at the flat price. One flat price, no per-engine paywall, no seat maths, and no sales call to find out the number — it is on the pricing page. If you want the whole category ranked rather than this one axis, the best AI visibility tools covers seven options by segment, and how much AI visibility tracking costs puts the price ranges side by side.
What a tracker has to get right
- Repeated sampling, not one run. Every prompt is asked many times, because a single answer is one draw from a distribution.
- A confidence interval on every number. steek uses a Wilson 95% interval — the honest number, never a single noisy run.
- Mention share and recommendation share, separately. Being named in passing and being recommended are different outcomes, and the gap between them is where the work is.
- Share of voice against named competitors, tracked over time, so you know whether you are gaining or losing the answer rather than just moving.
- Real monthly search volume behind each prompt, not a 1–5 bar, so you track questions people actually ask.
- Cited sources and co-mention gaps — which sources named your rivals and not you, ranked by opportunity, so a drop comes with a next step.
- Crawler checks. If GPTBot or OAI-SearchBot is blocked in your robots.txt, you can be structurally invisible no matter how good your pages are.
- Per-SKU tracking for stores, tied to real revenue in GA4 — brand-level tracking cannot tell you which products AI surfaces.
No day-one historical index (rivals like Ahrefs Brand Radar backfill months of past data) — tracking starts the day you start, so if you need months of back-data on day one, Ahrefs Brand Radar is the honest recommendation. Not built for enterprise-scale agent analytics or huge prompt volumes (that's Profound's turf) — for very large prompt volumes and agent analytics, Profound is the more capable platform — though it is demo-gated, with no self-serve trial — demo-gated. And if you are already inside Semrush AI Toolkit's suite, its AI toolkit may be the path of least resistance even though it is metered per domain.
Getting started
Start by writing down the questions your customers actually ask before they buy — those prompts are what gets tracked. Then, if the picture is worth watching over time, founding early access, €9.90 for the first year turns them into a tracked baseline, and every engine is included at €19/mo billed annually (€29.90 month-to-month). For the wider practice around the numbers, see AI brand monitoring, what GEO is and answer engine optimization; for the buying decision itself, what an AI visibility tool should do lays out the five things to compare before you pay for any of them.
FAQ
What is an AI visibility tracker?
An AI visibility tracker measures, continuously, how often each AI engine mentions, cites and recommends your brand — and how that changes week to week. It re-runs your buyers' questions against ChatGPT, Perplexity, Gemini and Google AI Overviews on a schedule, logs whether you appeared and which sources the engine cited, and reports the trend rather than a single reading. The word that matters is "tracker": one check is a snapshot, and because AI answers vary run to run, a snapshot can be wrong in either direction. steek tracks all four engines at a flat €19/mo with a 95% confidence interval on every number.
Which AI engines should an AI visibility tracker cover?
The four that carry most buying-intent questions today: ChatGPT, Perplexity, Gemini and Google AI Overviews. Chasing raw engine count past that has diminishing returns — an extra long-tail model your customers never open adds a line to a dashboard, not a decision. What matters far more is that the engines you do track are included in the price you actually pay, tracked continuously, and reported the same way so their numbers are comparable to each other.
How often should you track AI visibility?
Continuously, and with enough samples per prompt to be meaningful — not once a quarter. Independent tracking finds 40–90% of the domains an engine cites can change when the same question is re-asked over time, so infrequent checks mostly measure randomness. Weekly reporting on top of continuous sampling is a reasonable rhythm for most small businesses: frequent enough to catch a genuine drop, slow enough that you are not reacting to noise. Judge every movement against its confidence interval before you act on it.
Are all AI engines included in steek's price?
Yes. ChatGPT, Perplexity, Gemini and Google AI Overviews are all included at the flat €19/mo billed annually (€29.90 month-to-month) — no per-engine add-ons, no seat maths. That is the main way steek's pricing differs from the category: Otterly's $29 Lite plan covers 4 engines with Gemini and Claude as paid add-ons (verified), Peec's entry tier is reported to cover only 3 of its 7 engines, Profound's cheapest reported tier is ChatGPT-only, and Scrunch's full 9-model coverage is reported to be locked to Enterprise.
Can I track AI visibility for free?
You can get a rough baseline for free: Ahrefs publishes a free AI Visibility Checker alongside its paid Brand Radar. A free checker answers "where do I stand right now?" — it cannot answer "is this getting better?", because that needs repeated sampling over time, which is the part that costs money to run. steek is not free: it is from €19/mo, with founding early access at €9.90 for the first full year and a money-back guarantee.
What's the difference between an AI visibility tracker and an AI visibility tool?
They overlap, but the emphasis differs. An AI visibility tool is the broader category: measurement plus diagnosis — gap analysis, crawler checks, schema fixes, the work of improving. A tracker is the measurement half specifically: repeated sampling across engines, share of voice over time, alerts when something genuinely moves. In practice you want both in one product, because a tracker that tells you your visibility fell without telling you which sources your rivals were cited in leaves you with a number and no next step.
Track every AI engine from one place
Public pricing, no demo call — track ChatGPT, Perplexity, Gemini and AI Overviews together, each number with its interval.