Looker Studio AI visibility dashboard

Build one stakeholder dashboard for AI visibility by blending Trakkr visibility data with GA4 traffic, Search Console trends, BigQuery exports, and crawler signals.

[01]

Workflow setup

Prerequisites

A Looker Studio workspace with permission to create reports and data sources.

Trakkr API or connector access plus GA4, Search Console, or BigQuery access where needed.

A reporting brief: audience, cadence, KPIs, and which AI platforms matter.

Setup steps

  1. 1

    Start with a KPI map

    Define the top row before connecting data: visibility score, share of voice, citations, AI traffic, crawler access, and actions completed.

  2. 2

    Connect Trakkr data

    Use the Trakkr Looker Studio connector or API-backed data source for visibility, citations, competitors, perception, crawler, and traffic datasets.

  3. 3

    Add GA4 and Search Console context

    Use native GA4 and Search Console sources, or BigQuery if your team already centralizes analytics data there.

  4. 4

    Create platform and page views

    Give executives the top-line view and operators the pages, prompts, citations, and actions that explain the movement.

  5. 5

    Lock the reporting cadence

    Add date controls, freshness labels, and scheduled delivery so the dashboard becomes a workflow, not a one-off artifact.

[02]

What to measure

Visibility and share of voice
Shows whether the brand is present and competitive across AI answers.
Weekly
Citations and cited URLs
Explains which pages and sources AI systems use as evidence.
Weekly
AI traffic and landing pages
Connects AI visibility to website sessions and conversion behavior where measurable.
Monthly
Actions completed
Prevents dashboards from becoming passive scoreboards.
Weekly
[03]

How Trakkr fits

Turn the platform signal into action

Trakkr supplies the AI visibility datasets that GA4 and Search Console do not provide.

The Looker Studio connector gives teams a reporting path without exporting spreadsheets manually.

Reports and workflows keep dashboard changes tied to actions, owners, and business reviews.

[04]

Checks and sources

Common mistakes

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Starting with chart types instead of stakeholder decisions.

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Mixing daily traffic with weekly visibility without freshness labels.

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Leaving actions out of the dashboard, which makes visibility work hard to operationalize.

[05]

FAQ

[06]

Next workflows

Build the dashboard around decisions

Use Trakkr for AI visibility datasets, GA4 for traffic, and Search Console or BigQuery for search and warehouse context.