Visibility queries
Picks the strategic queries each pillar will be scored against. Three tabs for AEO, GEO, SEO. Twenty five queries per pillar.
Executive summary
Three short paragraphs explaining the feature and value.
Visibility queries is where the marketer picks the strategic questions each pillar will be scored against. Three tabs hold up to twenty five queries per pillar, one tab each for AEO, GEO, and SEO. These are not arbitrary picks. Every selected query traces back to a brand keyword or a search question.
The Selector view ranks candidates from the workspace's brand keywords and search questions by intent and relevance to the chosen pillar. AEO favours conversational LLM style queries. GEO favours queries that get summarised inside AI overviews. SEO favours queries with strong organic search volume and clear commercial intent.
The Mapper view links every selected query back to its source keyword or question. So when a visibility score moves, the marketer can trace the movement to the underlying topic and prioritise content work against the keywords that actually drive the number, not the ones that feel important. Clean attribution end to end.
Key highlights
Five capability points teams should know about quickly.
- Three tabs: AEO, GEO, SEO
- Up to twenty five queries per pillar
- Selector ranks candidates by intent and relevance
- Mapper links every query to source keyword
- Clean score attribution end to end
Top FAQs
Five common questions answered for fast practical clarity.
How do I pick the right queries?
Start with the Selector view in each pillar tab. It ranks every candidate query from the brand keywords and search questions by intent fit and relevance to that pillar. Pick the top twenty five per pillar; deselect any that feel off; add specific custom queries the agent missed. Selection drives the entire visibility scoring chain downstream.
Why are queries limited to twenty five per pillar?
Twenty five gives statistically stable scoring while keeping scan cost and time bounded. Too few queries mean a single bad result swings the score; too many slow the scan without proportional accuracy gain. Twenty five hits the practical sweet spot most teams need without compromising signal or cost across regular weekly scans.
What does the Mapper view actually show?
A bipartite graph linking selected queries (left) to source keywords or search questions (right). Hovering a query highlights its source; hovering a source highlights every query that flows from it. Useful for spotting source terms that drive many queries versus orphans that drive only one, which informs keyword work directly.
Can I share query sets across workspaces?
No. Query sets are workspace scoped along with brand keywords and search questions. A workspace's query set reflects its specific brand keywords, ICPs, and competitive context. Even sister brands in the same parent group benefit from independent query sets because their buyer queries diverge in subtle but score moving ways consistently.
Why are queries locked for six months once defined?
Scoring stability. Visibility scores are only meaningful when measured against a fixed query set across time. Changing queries mid cycle resets the baseline and makes deltas uninterpretable. The six month lock forces strategic commitment to the queries that genuinely represent buyer intent, and protects the score from being tuned to flatter recent performance. After the six month window, queries can be revised for the next cycle.