Veribix vs Peec
What each product measures, from which data source, and what neither of them can see. Everything stated about Peec here comes from Peec's own site.
What Peec measures
Peec polls a broad set of surfaces — ChatGPT, Google's AI Mode and AI Overviews, Copilot, Perplexity and Gemini — and reports brand visibility across them, with country-level tracking and a choice of models at setup. Its plans are drawn by project count rather than by engine coverage.
One practical note for anyone comparing prices: Peec renders its pricing in the browser, so the figures above do not appear in the page source. They were read from the rendered page on the date shown.
What Veribix measures
Veribix measures what arrived. It reads your GA4 property for sessions, key events and revenue by source and landing page, your logs or Cloudflare for AI crawler activity, and Search Console for search context, then assembles those into a funnel per assistant.
Where a figure cannot be sourced to first-party data or to a stored model answer, it is labelled as an estimate or not shown. That labelling is not a disclaimer at the bottom of a report; it is a field on every row.
What neither can see
Before comparing features it is worth naming the limits both approaches share, because a vendor that does not name them is not being straight with you.
Referrer stripping is the first, and it complicates cross-market reading in particular. A visit from an assistant that removes the referring page lands as direct traffic regardless of country, so a market where you appear strongly can look quiet in analytics for reasons that have nothing to do with performance.
The second is the mention that produced no visit. Broad surface coverage finds mentions across six surfaces; none of that tells you whether a single reader acted. First-party data has the opposite problem — it sees the arrival and not the answer that caused it.
The third is that answers move between runs, which matters more the wider the surface set. A brand present on AI Mode today and absent tomorrow has not necessarily changed; the sample has. Veribix therefore reports a share of runs with the sample count rather than a single figure.
Peec published pricing
| Plan | Published price | Note |
|---|---|---|
| Starter | €85 / month | €70/month billed annually. One project. |
| Pro | €205 / month | €180/month billed annually. Two projects. |
| Advanced | €425 / month | €360/month billed annually. Five projects. |
| Enterprise | Custom | Annual terms through sales. |
Peec pricing and features read from the vendor’s own site on 2026-08-06. Prices and features change. If anything here is out of date, tell us and we will correct it.
Questions
- Why does this page show prices when other comparison sites say Peec does not publish them?
- Peec renders its pricing client-side, so an automated read of the page source finds nothing. The figures here were read from the rendered page on the date shown. If they are out of date, tell us and we will correct them.
- Does Veribix cover as many AI surfaces as Peec?
- No. Peec lists six surfaces including Google's AI Mode. If breadth of polling is the deciding factor, that is a real difference and it favours Peec.
- Can Veribix segment by country?
- Yes, for first-party data, because your analytics property already carries geography. Answer polling geography depends on the plan.
Already using Peec and weighing a change? See Peec alternatives.