Mentionable alternatives
If you are measuring AI visibility with Mentionable and wondering what a first-party approach would show instead, this is the honest version of that comparison.
What Mentionable says it does
Mentionable describes itself as tracking AI visibility across seven large language models with transparent pricing and no per-model add-on charges.
- Coverage of seven AI engines on every plan, with no per-engine add-on
- Competitor and source analysis
- MCP integration from the Pro plan
- White-label and client-ready audits on the Agency plan
- Email alerts and unlimited team members
| Plan | Published price | Note |
|---|---|---|
| Growth | €79 / month | 115 prompts, 1,500 scan credits, one project. Excludes tax. |
| Pro | €149 / month | 231 prompts, 3,000 credits, three projects, MCP integration. |
| Agency | €299 / month | 385 prompts, 5,000 credits, unlimited client projects, white-label reports. |
Mentionable 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 If anything here is out of date, tell us and we will correct it.
What your Mentionable data means
Seven-engine coverage without per-engine pricing gives you an unusually comparable picture across models, and the citation analysis points at specific pages rather than leaving you to guess.
What it stops short of is outcome. A page the models cite often may or may not be the page that converts. That question is answered by joining citation data to your own analytics, which is work no polling tool can do on its own.
What carries over and what does not
The prompts and the competitor set carry over as decisions you have already made well. Veribix takes both, running name-free category prompts against a shared corpus and keeping branded ones private.
Stored answers do not transfer, and should not be presented as though they did. Your own analytics history does not need to transfer at all — it is already in your property, which is why the first-party view can start with real months behind it.
Running both
For an agency running this across clients, Mentionable's white-label reporting and Veribix's evidence trail serve different conversations: one shows the client where they stand, the other shows them what it produced.
For a single in-house team on a tight budget, pick by the question being asked upstairs. If it is "are we visible", polling answers it. If it is "what did it bring", it is your own data or nothing.
Before you decide
Check whether the citation data has changed what you publish. Source analysis earns its price when it redirects work; if the reports are read and filed, the spend is buying reassurance rather than direction.
Then check whether you can currently answer what the cited pages earned. If you cannot, that gap is not closed by more engine coverage, and adding engines is the more tempting purchase precisely because it is easier.
And look at how much of your reporting time goes into assembling the client narrative by hand. White-label output that removes an afternoon a month is worth real money, and that saving has nothing to do with which tool measures more accurately.
Questions
- Does Veribix charge per AI engine?
- No. Like Mentionable, engine coverage is not an add-on. Plans differ by data sources connected, prompt volume and retention.
- Can I white-label Veribix reports?
- Report export is available on all paid plans; white-label presentation is an agency-tier feature. Mentionable includes it on its Agency plan.
- Does Veribix show which pages AI assistants cite?
- Yes, from the stored answers, and it joins those pages to what they delivered in your analytics — which is the part that requires first-party access.
For a side-by-side of what each product measures, see Veribix vs Mentionable.