A Profound alternative for Spanish-speaking markets

Apoda is the Profound alternative for businesses whose customers search in Spanish. Both are GEO platforms and ask the same question: does the assistant name you when a customer asks about your category? They differ in two ways. Profound measures in English for the U.S. and Europe, and executes with agent credits. Apoda measures in Spanish — and English — with the country set to your market, and from US$ 379 a specialist executes.

Profound is a good tool and we're not going to pretend otherwise. The full comparison is below, including what it does better than we do.

Only data Profound publishes on its own page appears here. What it doesn't publish — the Enterprise price, or the cost of additional prompts — we don't estimate: we'd rather leave it out than put down a figure that might be wrong.

Why «in Spanish» isn't just translating the prompts

This is the underlying reason an alternative exists, and it isn't about the interface. Profound can be used from Bogotá or Miami and its prompts can be written in Spanish. The problem shows up afterward.

When an engine answers in Spanish, it consults a different set of pages than it does in English. It isn't the same content translated: it's other outlets, other threads, other directories, other comparisons. And the location the query is run from also moves the answer — the same question can name different businesses from Quito than from Bogotá or Mexico City.

Translating the prompts leaves you with the right question and the wrong sources. And there's the other half: almost all the work that moves the needle happens off your site, on the third-party pages the engine cites. Getting a mention in the Spanish-language publication ChatGPT is reading for your category isn't a software feature. It's someone who writes and manages relationships in the language of the market.

How does each one's execution differ?

In the unit of work you buy, and neither one is better in the abstract.

• Profound sells agent credits. Starter comes with 100 a month and Growth with 400, to generate and optimize content automatically. It's real work, done by a machine, and it's billed by volume. A credit costs cents and pays off at scale.
• Apoda sells an action plan and, on the higher plan, executed interventions. On Measurement we tell you what to do and in what order; on Execution we do it ourselves, twice a month, each one logged with its date so it can be checked against the measurement that follows.

The rule of thumb: if your problem is quantity — forty pages to cover, two hundred products to describe — credits win, and win comfortably. If your problem is one of judgment — which page to rewrite, how to position yourself against a competitor the AI is describing badly, which third-party source needs to be earned — an agent working by volume won't solve it, and a person will.

Their biggest advantage is 1.5 billion real conversations. None are from Spanish-speaking Latin America.

It's worth being fair here, because Profound's competitive advantage isn't its dashboard: anyone can build a dashboard. It's its database.

Profound licenses conversations from consumer panels with double opt-in and has built on more than 1.5 billion real prompts. That lets them tell you what people are actually asking, with volume and trend, instead of what you think they ask. It's a huge advantage and nobody in this category can replicate it overnight. Neither can we.

Now, the part almost nobody checks. Profound publishes which countries that dataset covers, and there are ten:

United States, Canada, Italy, Brazil, Germany, Australia, Spain, South Korea, France and United Kingdom.
List published by Profound, checked on September 7, 2026.

Read the list again. There isn't a single Spanish-speaking Latin American country. Mexico isn't there, Colombia isn't there, Argentina, Chile and Peru aren't there. Spain is — which speaks Spanish, but is a European market, with European sources and another way of asking — and so is Brazil, which speaks Portuguese.

For a business that sells in Monterrey or Bogotá, that means the category leader's biggest advantage is a dataset about someone else's customers. The moat is real and it's huge; it just doesn't surround that castle.

Also fair: Profound says it is actively adding countries, so this may change, and that's why the list above is dated. And what we have isn't a panel of a billion conversations either — we don't have one and we won't pretend we do. We build the prompt set from your Search Console, your category and your competitive set: much smaller, and about your market.

What does Profound do that Apoda doesn't?

It's worth naming them, because they're real differences and not nuances.

• Prompt volume. 50 on its entry plan versus 20 on ours, and 100 on Growth versus 30 on Execution.
• Engine ceiling. Its Enterprise plan reaches nine answer engines. Ours doesn't publish a figure like that.
• Automation at scale. Agent credits have no equivalent at Apoda, and for mass production they're the right tool.
• Real demand data. Its conversation dataset has no equivalent at any competitor, within the ten countries it covers.
• Scale of the operation. Profound raised US$ 96 million in a Series C at a one-billion-dollar valuation, led by Lightspeed, and operates at the scale that allows. Apoda is bootstrapped: funded by what it bills and growing at that pace. They're two different models, not two stages of the same one.

When does Profound make sense?

When you already have a team that executes. If someone can take a mentions report and turn it into changes this week, what you're missing is data, not hands — and there Profound gives you more data per dollar, with more prompts and more automation.

When does Apoda make sense?

When language and location matter — in Spanish or in English, in Latin America or in the U.S. — because the measurement happens where you compete and the work that follows is written in the language your customers search in.

And when nobody is taking the data to turn it into changes. It's the most common case in this category: the tool gets bought, someone opens it for the first few weeks, and the report becomes an email nobody reads. The tool didn't fail; the next step did.

If you still don't know which case is yours, the free diagnostic asks ChatGPT your category's questions without naming you and emails you the full answers. You don't need to hire anything to find out where you stand.