> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getcited.in/llms.txt
> Use this file to discover all available pages before exploring further.

# Configure positioning

> Set your brand's target attributes so Cited can prioritise recommendations that align with how you want to be known.

Target attributes tell Cited how you want your brand 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 and edit them whenever your positioning changes. When a recommendation addresses a topic that matches your declared positioning, its [Impact Score](/methodology/impact-scoring) receives a 1.5× strategic alignment boost — surfacing it as a higher priority on your dashboard.

## Why positioning matters for recommendations

Each refresh cycle produces several recommendations. Without positioning data, all of them are scored purely on competitive gap size and prompt coverage. With positioning data, recommendations that align with your declared strategy are boosted above generic visibility gaps. Your team works on the things that matter most to your brand story, not just the biggest numbers.

## 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"

## How to edit target attributes

Navigate to **Settings → Brand Intent** in your Cited dashboard. The Target Attributes section shows your current attributes as 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 recomputes your active recommendation Impact Scores in the background.

You can have up to 20 target attributes per brand, each between 2 and 80 characters.

## How attributes affect scoring

The [strategic alignment](/methodology/impact-scoring#strategic-alignment) multiplier in Impact Score fires when there is word-level overlap between your declared target attributes and a recommendation's gap topic. Your brand's category and subcategory also participate in matching — they act as broader positioning signals alongside your explicit attributes.

A safeguard prevents single-prompt edge cases from reaching HIGH priority on strategic boost alone: if the strategic multiplier fires on a gap supported by fewer than 5 prompts, the score is capped at 59 (MEDIUM tier) until more data supports the signal.

## 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 [Narrative refresh cycle](/methodology/refresh-cadence), new recommendations also pick up your updated attributes for strategic scoring.

## Related reading

* [How Impact Scores work](/methodology/impact-scoring) — the full scoring model, including how strategic alignment fits in
* [Configure competitors](/get-started/configure-competitors) — the other key input to competitive gap scoring
* [Refresh cadence](/methodology/refresh-cadence) — when recommendations and scores are updated