Profound University

Question 1

Your brand is Tempur-Pedic, but AI responses sometimes refer to you as Tempurpedic, Temper-Pedic or Tempur Breeze. Your visibility score seems lower than expected given how often you see your brand mentioned in actual AI answers. What's the most likely cause?

If you have any doubts, please go back and rewatch

Advanced Custom Setups

The answer engines are confused about your brand identity and showing inconsistent results

Your content needs to include all spelling variations to improve recognition

You need to add each variant as a separate competitor in your config

Brand name variants aren't mapped in name matching settings, creating ghost mentions that aren't counted

Question 2

A PR team wants to measure how often their brand is cited as an authoritative source in AI responses - phrases like “according to [brand]”. Which entity parser setting should they enable?

If you have any doubts, please go back and rewatch

Advanced Custom Setups

Companies

Products

Publication sources

People

Question 3

You added 30 informational prompts (like 'what is AI visibility?') across several topics. Your aggregate visibility score dropped significantly, but your competitive rank didn't change. What happened?

If you have any doubts, please go back and rewatch

Organizing for Scale and Experimentation

Your competitors improved their informational content faster than you did

Informational prompts behave differently from commercial prompts and dragged down the aggregate when mixed in without separate tagging

The new prompts were poorly written and need to be reworded as commercial prompts

Prompt volumes for informational queries are too low to generate reliable data

Question 4

How do tags differ from topics in Profound's organizational hierarchy?

If you have any doubts, please go back and rewatch

Organizing for Scale and Experimentation

Tags are smaller groupings that live inside individual topics

Tags and topics are interchangeable labels for organizing prompts

Tags slice across topics, allowing you to filter and view prompts from multiple topics at once

Tags replace topics once your setup reaches a certain scale

Question 5

Your team is about to launch a content experiment targeting historical data prompts. When should you tag these prompts with the experiment label?

If you have any doubts, please go back and rewatch

Organizing for Scale and Experimentation

Before shipping the content, so you can measure impact as it unfolds

After the experiment ends, so you know which prompts were affected

During the experiment, once you start seeing results come in

Tagging doesn't affect measurement timing, so it doesn't matter when

Config & Organization

Config & Organization