Designing a Spanish AI visibility benchmark

Define a Spanish-language prompt set around a specific market and customer task. Use the same questions and collection window across platforms, then retain each answer so a reader can inspect the basis of the comparison.

Status: Study design
Language: Spanish
Results: No dataset published

A protocol you can reuse

Proposed study design. No collection has been run and no results are implied.

How does brand presence vary by question type across a fixed Spanish-language platform sample?

Select 20 Spanish prompts across one category: five recommendations, five comparisons, five factual questions, and five use cases. Choose two platforms and collect over three days: 120 planned answers. Keep the market and account context fixed.

Write brand-alias rules before collection. Preserve each answer and its citations. Count a brand once per answer, retain ambiguous matches for review, and have a second reviewer check disputed cases. Record failures and exclusions without converting them into absences.

Report platform and question-group results before a blended total. Include planned versus collected answers, brand denominators, and the exact prompt list. Call the result a benchmark for this sample, not a universal ranking of brands or platforms.

Collection record

Download text

STUDY RECORD — EMPTY TEMPLATE
study_id: [assigned identifier]
prompt_id and exact wording: [text]
question group: [category]
language and market: [settings]
platform: [approved platform name]
collection date and account context: [details]
collection state: completed / failed
AI Overview present (Google only): yes / no / not applicable
answer reference and preserved text: [reference]
brand presence decisions: [brand, yes/no/ambiguous, passage]
cited URLs and supporting passages: [references]
reviewer and exclusion reason: [details]

What the study can distinguish

Count brand presence at the answer level and report the total eligible answers for each platform.
Separate questions about a brand from unbranded category questions; combining them can hide large differences in the sample.
Report missing answers, prompt changes, and uncertain brand matches alongside the result.

Collection and interpretation

Select the market, language, prompt categories, and collection period before gathering answers.
Collect the answers and citations with their platform, prompt, and date. Preserve unsuccessful collection attempts separately.
Compare rates within matching prompt groups. Include the underlying counts and representative answers when publishing a result.

AI visibility tracking

Connect recurring questions, brand mentions, and cited sources in one workspace.

Best AI visibility trackers

Compare the main AI visibility platforms and what each one is best suited for.

Free AI visibility report

Get a live baseline for your brand across assistants, citations, and competitors.