The Best GEO Tool in Spanish for AI Search: Everything GEO Metrics Does in 2026

TL;DR

GEO Metrics is the only GEO platform built specifically for the Spanish-speaking market. It monitors any brand's visibility across the 9 main AI engines with daily data in Spanish, measures Share of Voice and Accuracy Score, analyzes sentiment by model, audits site technical infrastructure, generates prioritized recommendations and is about to launch the first AI advertising measurement module in the Hispanic market. This article covers everything it does — and why it is the sector reference in Spain and LATAM.

If you have been looking for a tool to understand how your brand appears in ChatGPT, Gemini or Perplexity, you have probably found options in English calibrated for the English-speaking market.

The problem is simple: your clients ask in Spanish. And AIs respond differently in Spanish than in English.

GEO Metrics was built to solve exactly that.

What Is GEO Metrics

GEO Metrics is the Generative Engine Optimization (GEO), Answer Engine Optimization (AEO) and Large Language Model Optimization (LLMO) platform built specifically for the Spanish-speaking market.

Founded in Spain by the Human Trends group, it monitors brand visibility across the 9 main AI engines with data generated in Spanish, for the markets where its users actually operate.

More than 3,000 active users. Clients in more than 10 countries. The sector reference in Spain and LATAM.

1. Visibility Monitoring Across the 9 AI Models

The core of the platform. GEO Metrics runs any brand's strategic prompts across the 9 main AI response engines daily and records what happens in each one.

The 9 models covered from the first plan:

ChatGPT · Gemini · Perplexity · Claude · Copilot · DeepSeek · AI Mode · AI Overviews · Grok

Monitoring is daily — not weekly like most platforms on the market. That allows correlating content or PR actions with visibility changes in real time.

For each execution, the platform records: whether the brand appears, at what position, with what response text and which sources the model used to generate that response.

2. AI Share of Voice

Share of Voice measures the percentage of times a brand appears in a model's responses for a set of strategic prompts.

It is the central GEO metric. The one that answers the question every client asks: "how often do I appear in AIs when someone searches for what I do?"

GEO Metrics calculates Share of Voice automatically by model, by prompt and by period — with historical evolution and direct competitive benchmarking against the competitors configured in the project.

A SoV of 20% on ChatGPT means the brand appears in 1 out of every 5 relevant responses from that model. A SoV of 2% means it appears rarely — and the main competitor is probably occupying that space.

3. Accuracy Score: Making Sure What AIs Say Is Correct

Appearing in AIs is not enough. The relevant question is how you appear.

GEO Metrics' Accuracy Score module measures what percentage of model responses that include a brand are factually correct — aligned with the verified information the brand declares as truth.

It is configured with specific verification prompts and the expected response. The platform runs those prompts across the 9 models, compares the responses against the expected response and calculates the match rate.

An Accuracy of 95% means AIs generate correct information almost always. An Accuracy of 53% means half the mentions contain errors — and that is an active reputational risk the client cannot see without this metric.

4. Citation Intelligence: Which Sources AIs Cite About Your Category

Which web pages are models referencing when someone asks about your brand's category? Are they yours or your competitor's?

The Citation Intelligence module identifies exactly which domains each model cites in each response, with citation volume, period-over-period variation and breakdown by AI engine.

It is the answer to the most important operational question in GEO: which content to work on this week to improve next month's visibility.

5. Deep Sentiment Analysis: How AIs Describe You

Standard sentiment analysis from other platforms says whether the tone is "positive," "neutral" or "negative." That is not enough.

GEO Metrics' Deep Sentiment Analysis module forces models to issue comparative verdicts and justify them, revealing the exact sources that build a brand's perception in each AI.

Does the brand appear as the first recommendation or as a secondary alternative? Does the model describe it accurately or with outdated data? Does sentiment vary between ChatGPT and Claude for the same prompts?

The result is not a generic diagnosis — it is a concrete intervention map: what content to work on to change how AIs describe the brand.

6. Direct Competitor Comparison Without Consuming Prompts

GEO Metrics' Comparison view shows any brand and its main competitor on screen simultaneously: Avg Position, Share of Voice, Appearances and the Prompt Visibility by AI Model grid for all 9 engines — all without spending additional executions.

It is the most powerful visual argument in a meeting with a client or prospect. In real time, without preparation, you can show exactly where a brand stands against its competition in each AI model.

7. Recommendations: The Engine That Turns Data Into Actions

GEO Metrics v2's Recommendations module cross-references three data sources simultaneously and generates actions prioritized by real visibility impact:

Monitoring data — what AIs say about the brand, at what position and with what accuracy.

Content audits — how well structured the content is to be cited.

Technical signals — how readable the domain is for AI agents.

There are five types of recommendation available: website collaboration, content creation, social media, factual accuracy improvement and citation content. Each with its specific description, the sites to collaborate with and the estimated impact on visibility, authority and lead generation.

8. Site Analysis: Technical Site Audit for AI Agents

The Site Analysis module evaluates the technical infrastructure of any domain from an AI agent perspective. Three integrated tools:

GEO Readiness Score — evaluates how optimized each page's content is to appear in AI-generated responses. Score from 0 to 100 with concrete actions.

GEO Agent Score — measures whether the domain is technically readable by AI crawlers: robots.txt, llms.txt, Schema Markup, HTTP headers and MCP protocols.

Topic Graph — visualizes the semantic coverage of topics across the entire site and identifies content gaps that may be limiting visibility on specific prompts.

9. AI Traffic: The Real Traffic Arriving From AI Engines

The AI Traffic module connects Share of Voice data with real web traffic referred from AI engines.

Is ChatGPT sending sessions to the site? Which prompts is that traffic coming from? Which pages receive visits from Perplexity or AI Overviews?

It is the bridge between AI visibility metrics and measurable impact in Google Analytics 4 — the piece that turns GEO into a traffic channel with demonstrable ROI.

10. Integrations: Looker Studio, GA4, GSC, Bing and MCP

GEO Metrics connects with the stack any marketing team already uses:

Google Looker Studio — exports AI visibility data directly to reporting dashboards combined with GA4 and GSC in a single view.

Google Analytics 4 — correlates Share of Voice with real referral traffic from AI engines.

Google Search Console — cross-references traditional search performance with AI visibility evolution.

Bing Webmaster Tools — extracts grounding queries from the Bing AI Performance section, the real queries Microsoft Copilot uses to generate its responses.

MCP (Model Context Protocol) — connects GEO Metrics data directly to Claude, ChatGPT or Perplexity as AI agents, enabling automation of analysis, content strategies and client reports without manual intervention.

11. The Free Tools in the Ecosystem

In addition to the platform, GEO Metrics has three 100% free tools that require no sign-up:

GEO Content Readiness Score — analyzes any published URL and returns a score from 0 to 100 on how ready that content is to be cited by AIs. With concrete actions for each dimension. trygeometrics.com/geo-readiness-score

Agent Readiness Score — analyzes the full domain and measures whether its technical infrastructure is readable by AI agents. trygeometrics.com/agent-readiness-score

Fan-out de consultas a IAs Chrome Extension — extracts the real sub-queries ChatGPT generates internally, Bing AI Performance grounding queries and Google Search Console data. Free on the Chrome Web Store. More than 1,000 active users.

12. Coming Soon: The AI Ads Module

ChatGPT and AI Mode are incorporating advertising into their responses. Brands running campaigns on those channels now appear in AI responses as sponsored results — and until now it was impossible to measure that impact systematically.

GEO Metrics is developing the first AI advertising measurement module in the Hispanic market. The metrics it will offer:

Ad appearances — how many times a brand appears as a sponsored result in AI responses in a given period.

Share of Ads (SOV Ads) — percentage of the brand's sponsored appearances over the total ad appearances in the category.

Prompts triggering ads — which specific queries are generating advertising appearances and how frequently.

Ad destination URLs — which site pages are receiving traffic from AI ads.

Temporal evolution — how advertising presence changes over time, crossed with the percentage of responses that include the ad.

The module will be available in September 2026. Brands that want early access can sign up directly with the GEO Metrics team.

Request early access to the Ads module → trygeometrics.com

The Plans

All plans include the 9 LLMs, unlimited brands and daily monitoring. No additional cost per client for agencies.

Why GEO Metrics and Not an English-Language Tool

English-language platforms generate their data from English-language prompts calibrated for the US or UK market.

For a brand operating in Mexico, Argentina, Colombia or Spain, that data does not represent how its Spanish-speaking users actually perceive it. A prompt in Spanish generates a different response from one in English, even in the same model.

GEO Metrics generates data in Spanish, for the markets where its clients actually operate. No geographic restrictions, no need to upgrade for LATAM access, no data that fails to represent the audience's reality.

Frequently Asked Questions

Does GEO Metrics cover all relevant AI models? Yes. The 9 main ones from the first plan: ChatGPT, Gemini, Perplexity, Claude, Copilot, DeepSeek, AI Mode, AI Overviews and Grok. No need to purchase higher tiers to access full coverage.

What is the difference between Share of Voice and Accuracy Score? Share of Voice measures how often the brand appears in AI responses. Accuracy Score measures whether what those responses say is factually correct. Both metrics are necessary: a brand can have high SoV with incorrect information, which represents an active reputational risk.

Is GEO Metrics only for agencies? No. The platform is for brands, internal marketing teams, consultants and agencies. The unlimited brands model at no additional cost makes it especially attractive for agencies, but any brand that wants to monitor its AI visibility can use it.

How long does it take to configure a new project? Under 15 minutes. The brand is configured, strategic prompts are defined and competitors are added. The first data is available within the following 24 hours.

What is the AI Ads module and when will it be available? It is the first module in the Hispanic market for measuring a brand's advertising presence in ChatGPT and AI Mode responses. It measures ad appearances, Share of Ads, prompts triggering ads and destination URLs. Available in September 2026. Brands interested in early access can contact the team.

Want to see how your brand appears across the 9 AI models right now?

Get started with GEO Metrics → https://geometrics.app/register