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Queries are the questions MentionLab sends to AI platforms. Tags group them so you can read results by topic rather than one question at a time.

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Managing queries

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Creating queries

Go to Project settings → Queries. You can:
  • Add one by hand — click New Query.
  • Import a CSV — the upload icon opens “Bulk import queries from a CSV file”.
  • Accept AI suggestions — during project creation, MentionLab analyses your website and proposes prompts.
Write queries the way a customer would. Instead of “Is Acme good?”, try “What is the best project management tool for remote teams?” — that is how people actually ask AI platforms.

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Query properties

The country you pick decides which models can run the query — see Models Availability.

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Bulk operations

Select rows, then use the Actions menu:
  • Add tags / Remove tags on many queries at once
  • Set type
  • Launch partial analysis for just the selected queries
  • Delete
Deleting a query also removes its historical results.
There is no export button on this page. Query exports live on Project settings → Export data, as the Queries Summary export type.

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Reading query results

The Queries analysis page grades every query: Each numeric column has a min/max range filter in its header. Click a row to open Query Analysis, which adds:
  • Five metric cards: Total Responses, Mention Rate, Avg. Sentiment, Source Rate, Shopping Rate
  • Top Sources and Sources by Model
  • Response History — every individual run, with the full response text, entity chips and its source list
  • Entities Mentioned and Top Products

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Query tags

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Creating tags

Project settings → Queries → Tags. A query tag has a Name and a Color — nothing else.

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Using tags

  • Overview — the Tags Summary card shows mention rate and average position per tag.
  • Tags page — a full comparison table (Results, Mention rate, SoV, Avg. position, Sentiment) plus a Mention rate by tag trend chart. Click any row for a detail sheet with entity ranking and top sources for that tag.
  • Platforms page — the Tags performance heatmap breaks each tag down by model.
  • Filters — narrow any analysis page to specific tags.
Build tags around decisions you actually make: product lines, buyer personas, funnel stages, markets.

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AND / OR mode

When you select more than one tag in the filter bar, a mode toggle appears:
  • OR — responses matching any selected tag
  • AND — responses matching all selected tags (the default)

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Response tags

Query tags label the questions. Response tags label the answers — useful for patterns you only recognise once you read the response (“recommends us”, “competitor only”, “mentions pricing”). Manage the definitions at Project settings → Response Tagging → Tags, and apply them to individual responses at Project settings → Response Tagging → All responses.

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Matching mode

Unlike query tags, a response tag has a Matching mode:
  • Exact (default) — matches responses whose text contains the tag name.
  • Semantic — matches by text and meaning, and indexes the project’s recent responses.
Turning on Semantic asks you to confirm, then indexes your existing responses in the background. A banner reports progress, and tag matches keep growing until indexing finishes.
Response tags work as filters everywhere query tags do — they sit in the Filters popover rather than the main bar, with their own AND/OR toggle.