TL;DR — Yes, connect any of Qwairy’s 12 dedicated Looker Studio data sources directly from your account settings. Start with performance-overview, competitor-metrics, and prompt-performance for 80% of reporting needs. For Tableau, Power BI, or custom warehouses, use the REST API with 189 endpoints. Pro tip: blend the performance-overview data source with GA4 in the same Looker Studio dashboard and create a calculated “click-through efficiency” field dividing AI referrer sessions by Brand Mention Visibility.
The Question
“Can I integrate Qwairy data into my Looker Studio or BI dashboards?”GEO data is most useful when it lives alongside the rest of your marketing performance data — traffic, conversions, pipeline — in the dashboards your team already uses. Qwairy’s Looker Studio integration provides 12 dedicated data sources that connect directly to your account and refresh automatically, covering every major GEO metric from brand visibility and competitor share of voice to per-prompt performance and citation source analysis. For other BI tools (Tableau, Power BI, Metabase, custom warehouses), the full REST API provides programmatic access to all the same data. You might also be wondering:
- “Which Looker Studio data source should I use for which type of report?”
- “How do I connect Qwairy data to Tableau or Power BI?”
- “Can I blend Qwairy data with GA4 or GSC data in the same Looker Studio dashboard?”
Where to Go in Qwairy
Start here: Looker Studio Integration Setup
Navigate to the Looker Studio integration in your Qwairy account settings to get your connector credentials.
Qwairy provides 12 Looker Studio data sources. Each is a separate connector that returns a specific data schema. To connect any of them in Looker Studio: open Looker Studio, click “Add data,” search for “Qwairy,” select the connector, authorize with your Qwairy API key, and choose which of the 12 data sources to connect. You can connect multiple sources to the same dashboard to blend GEO data with other metrics.
Start with the three most universally useful data sources: performance-overview (brand visibility trends), competitor-metrics (share of voice), and prompt-performance (query-level breakdown).
Go deeper: Choosing the Right Data Source
Each of the 12 data sources is optimized for a specific reporting question. Match the data source to your reporting objective:
- performance-overview: Executive dashboards showing brand visibility trends by provider and period
- competitor-metrics: Competitive share of voice over time, competitor visibility by topic
- prompt-performance: Content team dashboards showing which queries drive visibility and where gaps exist
- source-domains: Citation audit showing which external domains are mentioning your brand
- source-urls: Per-URL citation data for page-level AI performance reporting
- tag-performance: Segmented reporting by topic, audience, or funnel stage
- keyword-performance: Traditional keyword data blended with AI visibility for hybrid SEO/GEO reports
- answer-details: Deep-dive into individual AI-generated answers for qualitative analysis at scale
- shopping-insights, local-insights, search-insights, social-insights: Channel-specific intelligence for retail, local, search, and social AI contexts
Complete the picture: REST API for Other BI Tools
For tools other than Looker Studio — Tableau, Power BI, Metabase, custom Python pipelines, or data warehouses — use the Qwairy REST API documented at the API Reference.
The API has 189 endpoints organized by data domain. For BI integration, the most commonly used endpoints are:
/api/brands/{brandId}/performance (visibility trends), /api/brands/{brandId}/competitors/compare (competitive data), /api/brands/{brandId}/prompts (prompt-level data), and /api/brands/{brandId}/sources (citation source data). All endpoints return JSON and support date range filtering, provider filtering, and pagination.What to Look For
12 Data Sources — Quick Reference
Understanding which data source to use for which purpose prevents the common mistake of connecting the wrong source and finding the data schema does not match what your report needs.| Data Source | Best for |
|---|---|
| performance-overview | Executive visibility dashboards, trend charts, provider breakdowns |
| competitor-metrics | Share of voice tracking, competitive gap analysis over time |
| prompt-performance | Content strategy reports, query-level visibility, funnel stage analysis |
| source-domains | Citation audit, domain authority tracking, third-party mention analysis |
| source-urls | Per-URL performance reporting, page-level AI score tracking |
| tag-performance | Segmented reports by topic, audience, product area, or funnel stage |
| keyword-performance | Hybrid SEO/GEO reports combining traditional and AI visibility |
| answer-details | Qualitative analysis of AI-generated answers at scale |
| shopping-insights | AI visibility in shopping and product discovery contexts |
| local-insights | Local and geo-targeted AI visibility for multi-location businesses |
| search-insights | Search-specific AI assistant visibility (Google AI Mode, etc.) |
| social-insights | Social AI context visibility (emerging AI platforms and channels) |
Looker Studio — Blending with Other Data Sources
One of the most powerful configurations is blending Qwairy’s performance-overview or competitor-metrics data source with GA4 and GSC data in the same Looker Studio dashboard. This creates a unified view where a single chart shows, for example, organic traffic, AI referrer traffic, and Brand Mention Visibility on the same timeline — making the correlation between GEO improvements and traffic outcomes immediately visible.Pro Tip: Create a calculated field in Looker Studio that divides AI referrer sessions (from GA4) by Brand Mention Visibility (from Qwairy performance-overview) to get a “click-through efficiency” metric: how many referrer sessions your visibility is actually generating. Brands with high visibility but low click-through efficiency have a citation link format problem to fix.
Filters That Help
| Filter | How to use it for this question |
|---|---|
| Date range control | Add a date range control that applies across all Qwairy data sources and your GA4/GSC sources simultaneously |
| Brand/competitor selector | If you manage multiple brands, a brand selector control simplifies dashboard maintenance |
| Provider dimension | Most Qwairy data sources include a provider dimension — use it as a filter or chart breakdown for provider-level reporting |
How to Interpret the Results
Good result
At least three Qwairy Looker Studio data sources are connected and in active use by your marketing team. The master GEO dashboard blends Qwairy visibility data with GA4 traffic data and is referenced in weekly or monthly marketing reviews. The dashboard has date range controls and at least one dimension filter (provider or topic) that stakeholders use to self-serve their questions. The API is connected to at least one downstream system for automated data ingestion.Needs attention
The Looker Studio connectors are authenticated but no dashboards have been built with them. Data is being exported manually each week instead of flowing through live connectors. The answer-details data source is being used for executive reporting (too granular — use performance-overview instead). Or: the API integration returns data successfully but the date range and filter handling is not implemented, so every API call returns all-time data instead of the requested window.Example
Scenario: A large enterprise with 200+ employees across marketing, product, and data teams wants to integrate Qwairy GEO data into their existing Looker Studio reporting stack, which already includes GA4, GSC, and Salesforce data.
- Connect four Qwairy data sources to Looker Studio: performance-overview (for the visibility trend chart), competitor-metrics (for the share of voice scorecard), tag-performance (filtered to the company’s 8 product divisions), and source-urls (for per-page AI performance tracking). Add the existing GA4 and GSC data sources to the same dashboard.
- Build a dashboard with five sections: Brand Visibility Trend (performance-overview, line chart, past 90 days), Provider Breakdown (performance-overview, bar chart, brand visibility by provider), Competitive Position (competitor-metrics, scorecard showing rank and delta vs previous period), Division Performance (tag-performance, heatmap with division rows and period columns), and Page-Level AI Scores (source-urls, table showing top 20 URLs by composite AI score).
- Add a blended chart combining performance-overview Brand Mention Visibility with GA4 AI referrer sessions and GSC click data on the same timeline. This becomes the executive team’s primary correlation chart — it shows whether GEO improvements are converting into real traffic and whether traditional SEO gains reinforce AI visibility.
- Share the dashboard as view-only with the CMO, VP of Product Marketing, and the 3 division heads. Set data refresh to daily. Use Looker Studio’s scheduled email delivery to send a PDF snapshot every Monday morning at 8am to the executive distribution list — no manual prep work required. The data team adds a Power BI connector via the API to pull the same data into the company’s enterprise BI warehouse for cross-channel attribution modeling.
Go Further
Full API for custom BI integrations
Review the full API reference for building custom integrations with Tableau, Power BI, or your data warehouse
Scheduled CSV exports as fallback
Set up scheduled CSV exports as a lightweight alternative when a full Looker Studio integration isn’t needed
Share Looker dashboards externally
Create shared views for stakeholders who need access to GEO data without a Looker Studio account
Related Questions
How do I set up automated GEO reporting?
Full automation stack: exports, Looker Studio, API, and shared views combined
What is the unified AI score for my pages?
Use the source-urls data source to surface per-page AI performance in Looker Studio
How do I prove ROI from GEO to leadership?
Blend Qwairy visibility data with revenue attribution in a Looker Studio dashboard