What this view helps you analyse
The Brand vs. Product Mentions view helps you analyse:- how often brands and products are mentioned across LLM answers,
- which products contribute most to brand visibility,
- and how your entities compare against competitors across prompts and engines.
Main table: analysing brand and product visibility at entity level

- mention the company or its acronym directly,
- surface flagship products instead,
- or combine both within the same answer.
- brands,
- products,
- and unified brand + product entities.
- recommendation queries,
- comparison prompts,
- and lower-funnel decision journeys.
- brands primarily carried by direct mentions,
- brands strongly reinforced by products,
- and products that independently dominate visibility within a topic.
Results details: linking mentions, prompts and engines

- the prompts generating those mentions,
- the engines surfacing them,
- and the contexts in which brands and products become visible.
- a product is consistently mentioned on one engine but not another,
- brands dominate informational prompts while products dominate recommendation-oriented prompts,
- or competing entities appear together repeatedly across the same prompt clusters.
Reading cues
These are signals to read, not rules.
A product appears more frequently than the brand itself
A product appears more frequently than the brand itself
Often observed on recommendation, comparison or lower-funnel queries where LLMs prioritize concrete products over corporate entities.
Brand visibility increases significantly when products are included
Brand visibility increases significantly when products are included
Indicates that product-driven mentions contribute substantially to overall brand presence within generative answers.
A small number of products drive most visibility
A small number of products drive most visibility
Suggests concentrated product influence, where a limited subset of products shapes how the brand is represented by LLMs.
Visibility shifts between brands and products depending on the engine
Visibility shifts between brands and products depending on the engine
Different engines may structure recommendations and entity references differently depending on how they interpret user intent.
Competing products repeatedly appear together
Competing products repeatedly appear together
May reflect stable competitive clusters within a category, where LLMs consistently associate the same entities across prompts.
How to use this view effectively
Extra features
- Filters — refine the data displayed.
- Add/Hide columns — adapt the table to your workflow.
- Export — extract filtered tables to CSV or Excel.
- Search — find a brand or product via the search bar.
- Sort — order by any column.
What’s next
Sources vs Links
Conceptual primer on the two layers.
Ranked URLs
Drill into URL-level visibility.