When someone asks an LLM something, the model breaks that query into 8-12 internal sub-questions. Atlas shows you which of them your page answers.
Atlas in three steps.
No long form. One URL and one query. We do the rest.
01WE READ YOUR PAGE
Structure, headings, topic coverage.
We run the URL through the same extractor AI crawlers use.
02WE MAP THE FAN-OUT
The 8-12 sub-questions the LLM runs for your query.
Your query isn't one question. It's eight. We surface them.
03WE CROSS BOTH READINGS
For each sub-question: answers, grazes, or misses.
A visual map. No arbitrary scores.
What you see at the end
A map of what your page covers and what it doesn't.
The grid shows you, sub-question by sub-question, where your page answers and where it doesn't. Below, a short diagnosis reads the pattern: what type of coverage you're missing and what happens because of it. No arbitrary scores. No 150 recommendations.
Ejemplo del mapa de cobertura: una query se descompone en ocho sub-preguntas internas del LLM. Tres las cubre la página (Responde), dos las roza (Roza), tres quedan fuera (No responde).
Where Atlas fits
One tool from the Magnify Tools stack. Each looks at one thing.
Magnify Tools is Magnify's hub of free tools. Each tool answers a distinct question about your visibility.
Tool
What it answers
Level
Mirror
Is your brand visible when LLMs talk about your category?
Brand
Accent
Does your international localization have technical errors?
Technical
Compass
What do I prioritize first in my SEO roadmap?
Prioritization
Orbit
Who actually makes up my professional network?
Network
Atlas
Does your page answer a query the way the LLM expects?
Page × query
Atlas analyzes one query. Magnify analyzes twenty.