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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.

Comparable monthly price, excluding VAT
Answers measured per monthMencoroCitenza
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.

The crossover sits between 200 and 500 answers per month. Below it, Citenza is cheaper. Above it, Mencoro is cheaper, and the more you measure the wider that gap gets in its favour.

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A flat price with unlimited use means, in practice, that there is an unpublished limit somewhere — frequency, queue, depth — or that the customers who measure little are subsidising the ones who measure a lot.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

Coverage and method
AspectMencoroCitenza
EnginesChatGPT, Perplexity, Google AI Overview, Google AI Mode, Google SERPOpenAI, Anthropic (Claude), Gemini, Perplexity and Google AI Overview
ClaudeNot listed publiclyIncluded, not an add-on
Google rankingsBuilt-in rank tracking, updated dailyIts own SERP and ranking tools inside the catalogue
SentimentYes, on each mentionYes, always shown with the snippet that justifies it
Mention typesFive categories: recommendation, comparison, listing, illustration, referenceDistinguishes mention from linked citation; no finer taxonomy
Measurement fidelityNot declared per engineDeclared next to each figure: API without search, API with search, or observed SERP
DenominatorNot publicly documentedVisible on every metric, with its "n ="
Projects and competitorsUnlimitedAccording to the tier
IntegrationsDashboard and emailREST 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

Citenza vs Mencoro: flat rate or pay for what you measure