Citenza vs Mencoro: flat rate or pay for what you measure
2026-09-16 · 9 · min read
Mencoro and Citenza do solve the same problem: knowing whether your brand shows up when someone asks an AI model about your category, and who shows up instead of you.
The big difference is not the feature list, it is how they charge. Mencoro has a single flat price. Citenza charges by tier, based on how many answers you measure per month. Which means "which is cheaper" depends entirely on how much you plan to measure, and the crossover sits at a specific point that this article names.
One warning first, because it is exactly the kind of detail that makes a price comparison worthless if you skip it: Mencoro advertises its price with VAT included and Citenza advertises without. Comparing the two as written gives you a fake difference.
The price, properly compared
Mencoro publishes €15 per month, VAT included. Strip 21% and the base is roughly €12.40.
Citenza publishes ex-VAT prices because it sells only to businesses and professionals with a VAT number, where reverse charge applies. Its tiers start at €6 and climb with the answers measured per month.
Put in the same unit — taxable base, no VAT — the maths looks like this.
| Answers measured per month | Mencoro | Citenza |
|---|---|---|
| 50 answers | €12.40 (flat) | €6 |
| 200 answers | €12.40 (flat) | €9 |
| 500 answers | €12.40 (flat) | €19 |
| 1,000 answers | €12.40 (flat) | €33 |
| 5,000 answers | €12.40 (flat) | €119 |
| 25,000 answers | €12.40 (flat) | €449 |
Mencoro price taken from its public site on 16 September 2026 (€15 VAT included; base estimated at the Spanish 21% rate). Citenza tiers are the ones on its pricing page.
So why not just charge a flat rate?
Because a flat rate on top of a variable cost only works if somebody caps something. Every measured answer is a paid call to a provider: models bill per token and SERP providers bill per query.
A flat price with unlimited use means, in practice, that there is an unpublished limit somewhere — frequency, queue, depth — or that the customers who measure little are subsidising the ones who measure a lot. Neither is wrong, but it is worth knowing which one you are.
Citenza chose the opposite: let the price say what it costs. Measure little, pay little. Measure a lot and the bill grows with you, with no surprise "your account has hit a limit you did not know existed".
If your volume is high and steady, that choice works against Citenza compared to a flat rate, and it would be dishonest not to say so.
What each one measures
| Aspect | Mencoro | Citenza |
|---|---|---|
| Engines | ChatGPT, Perplexity, Google AI Overview, Google AI Mode, Google SERP | OpenAI, Anthropic (Claude), Gemini, Perplexity and Google AI Overview |
| Claude | Not listed publicly | Included, not an add-on |
| Google rankings | Built-in rank tracking, updated daily | Its own SERP and ranking tools inside the catalogue |
| Sentiment | Yes, on each mention | Yes, always shown with the snippet that justifies it |
| Mention types | Five categories: recommendation, comparison, listing, illustration, reference | Distinguishes mention from linked citation; no finer taxonomy |
| Measurement fidelity | Not declared per engine | Declared next to each figure: API without search, API with search, or observed SERP |
| Denominator | Not publicly documented | Visible on every metric, with its "n =" |
| Projects and competitors | Unlimited | According to the tier |
| Integrations | Dashboard and email | REST API, MCP server and WordPress plugin |
Mencoro data taken from its public site on 16 September 2026.
The three points where they really separate
Price aside, three differences change how the data gets used.
- Claude. Mencoro does not list it among its engines. If your customers or your sector use Claude — and in software, legal and consulting they do — that absence is a coverage gap, not a nuance.
- Declared fidelity. Measuring a model's API is not the same as using its chat app: they do not share memory, personalisation, or always the same model routing. Citenza labels each figure with the method behind it. It is the biggest limitation in this entire category, and a tool that does not declare it is still subject to it.
- Competitors against the same denominator. Comparing your 30% with a rival's 45% only means something if both come from the same set of answers. Citenza puts them in one table and shows the denominator; without that, the comparison is a hunch formatted as a number.
When to pick which
Mencoro fits better if you measure high volume on a flat, closed budget, if you need unlimited projects and competitors without thinking about tiers, and if built-in Google rank tracking saves you another subscription.
Citenza fits better if you need Claude in the mix, if you are going to show these figures to a client or a committee who will ask "out of how many answers?", if you want to pull the data out through an API or MCP into your own dashboards, or if you start small and would rather pay €6 than €12.40.
And if you run an agency with several accounts, look hard at the data isolation model of either tool before putting different clients in the same place. It is the question nobody asks until there is an incident.
Sources
Third-party data checked on 2026-09-16