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Documentation Index

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Target attributes tell Cited how your brand wants to be perceived in AI-generated answers. They are initially generated by AI during onboarding based on your brand profile and competitor data. After that, you own them — edit them whenever your positioning changes. When a recommendation addresses a topic that matches your declared positioning, its Impact Score receives a 1.5x strategic alignment boost — surfacing it as a higher priority.

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Why positioning matters for recommendations

Cited generates 3-15 recommendations per monitoring cycle. Without positioning data, all recommendations are scored purely on competitive gap size and query volume. With positioning data, recommendations that align with your declared strategy are boosted above generic visibility gaps. This means your team works on the things that matter most to your brand story, not just the biggest numbers.

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What target attributes are

Target attributes are short phrases (1-3 words each) describing concepts, product qualities, or category terms you want AI platforms to associate with your brand. They are the words you want to own in AI-generated answers. Examples for different brand types:
  • A D2C skincare brand: “retinol”, “science-backed formulations”, “affordable luxury skincare”, “clinically proven actives”
  • A B2B HR platform: “payroll automation”, “statutory compliance”, “employee self-service”, “fast implementation”
  • A travel accessories brand: “sustainable”, “cabin luggage”, “eco-friendly”, “premium”

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How to edit target attributes

Navigate to Settings > Brand Intent in your Cited dashboard. The Target Attributes section shows your current attributes as green chips. To edit:
  1. Add an attribute: Type in the input field and press Enter or comma. Attributes are automatically lowercased and deduplicated.
  2. Remove an attribute: Click the X on any chip.
  3. Save: Click “Save Changes.” Cited will recompute your active recommendation Impact Scores in the background (typically completes within 30 seconds).
Maximum 20 target attributes per brand. Each attribute must be 2-80 characters.

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How attributes affect scoring

The strategic alignment multiplier works by tokenizing both your target attributes and each recommendation’s gap topic into significant words (longer than 3 characters, excluding common stop words). Any word-level overlap triggers the 1.5x multiplier on that recommendation’s Impact Score. Your brand’s category and subcategory also participate in matching — they act as broader positioning signals alongside your declared attributes. A low-query-count safeguard prevents single-query gaps from reaching HIGH priority on strategic boost alone. If a strategic match fires but the gap is supported by fewer than 5 queries, the score is capped at 59 (MEDIUM tier) until more data supports the signal.

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What happens when you save

  1. Your target attributes are stored and locked from automated overwrite. The nightly intelligence pipeline will not replace manual edits.
  2. Impact Scores for all active recommendations are recomputed in the background using the updated positioning signals.
  3. On the next recommendation refresh cycle (Tuesday/Friday for Pro, Sunday for Starter), new recommendations will also use your updated attributes for strategic scoring.
Last updated: 2026-04-27