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

# Dashboard

> The home view of a project: visibility score and everything that explains it.

The home view of a project. The headline visibility number plus everything that explains it.

## What you see

* Headline visibility score for your brand and each competitor.
* Per-topic and per-platform breakdowns.
* Trend lines on every score above.
* Recent runs with status and timestamps.
* Click-through from any score into the prompts and citations behind it.

## Filters

By topic, platform, prompt attribute, date range, branded vs unbranded. Filter state lives in the URL, so a filtered view is shareable by link.

## Running prompts

Click **Run Now** at the top of the dashboard to kick off a run on demand. The button sends every active prompt to every active platform. The dashboard updates **live** as platform responses come back, so the headline visibility, [share of voice](/glossary), and per-platform numbers shift while the run is in flight. Final numbers settle when the run completes.

Scheduled cadence (daily, weekly, or monthly) is set in Settings. On-demand runs are independent of the schedule and can also be triggered via the REST API or MCP.

## Where the data comes from

See [How OpenLens sources data](/data-sources).

## How outputs are produced

* Each run sends every active prompt to every active platform.
* Responses are parsed by Claude Haiku for brand mentions, citations, and response attributes (qualities discussed about a brand, each with a sentiment).
* Visibility scores are computed live from the parsed events. No pre-aggregated snapshot.

## How to use it

* Read the headline. Drill into per-platform to spot platforms that don't know you.
* Trace a citation to see where models pull answers from for your space.
* For the interpretation layer (what each metric actually means, what to do about a result), see the [Dashboard deep-dive](/how-tos/dashboard-deep-dive).