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TL;DR — Configure weekly scheduled exports in Workspace > Exports for your most-used data types (Performance Overview, Competitor Compare, Tag Performance) delivered to your team’s inbox. Go to the Looker Studio integration to connect the performance-overview, competitor-metrics, and tag-performance data sources for a live, auto-refreshing dashboard. Use the API’s 189 endpoints for custom BI integrations or data warehouse pipelines. Pro tip: create Workspace > Shares with locked filters for stakeholders who need a single-focus view without full platform access.

The Question

“How do I set up automated GEO reporting for my team?”
Manual GEO reporting — opening Qwairy, taking screenshots, pasting numbers into slides — does not scale. As AI search becomes a standard marketing channel, stakeholders expect the same automated reporting infrastructure that exists for SEO and paid media. Qwairy provides three automation paths: scheduled CSV/XLSX exports, live Looker Studio dashboards via 12 dedicated data sources, and a full REST API for custom integrations. This page shows you how to combine them into a reporting stack that runs itself. You might also be wondering:
  • “Can I get a weekly email with my GEO performance data automatically?”
  • “How do I connect Qwairy data to our existing Looker Studio or BI dashboards?”
  • “Is there an API I can use to pull Qwairy data into our own systems?”

Where to Go in Qwairy

1

Start here: Workspace > Exports

Navigate to Workspace > Exports — this is your simplest automation path. Qwairy supports 20 export types covering every major data category: visibility, citations, competitors, prompts, tags, topics, providers, crawler analytics, referrer analytics, backlinks, and more. Each export can be configured with a time period, filters (by tag, topic, provider, or competitor), and a scheduled delivery cadence (weekly or monthly). Configure a weekly export of the metrics your team uses most often — typically Performance Overview, Prompt Performance, and Competitor Compare — and set delivery to your team’s email list. This alone eliminates the most common manual reporting task.
2

Go deeper: Looker Studio Integration

For live, interactive dashboards, navigate to the Looker Studio integration setup in your account settings. Qwairy provides 12 dedicated Looker Studio data sources: performance-overview, prompt-performance, competitor-metrics, source-domains, source-urls, tag-performance, keyword-performance, answer-details, shopping-insights, local-insights, search-insights, and social-insights. Each connects directly to your Qwairy account and refreshes automatically. Build a master GEO dashboard by combining the performance-overview connector (visibility trends), competitor-metrics connector (share of voice over time), and tag-performance connector (segmented by topic or funnel stage). Share the dashboard link with your team — it will always show current data without any manual update steps.
3

Complete the picture: API + Shared Views

For custom integrations, review the API Reference at the API documentation portal. The Qwairy API has 189 endpoints covering every data object in the platform. You can pull visibility scores, prompt performance data, competitor comparisons, citation records, and crawler logs into any downstream system: a custom Tableau dashboard, a Slack bot that posts weekly GEO summaries, a Google Sheets integration with live IMPORTDATA formulas, or a data warehouse pipeline. Additionally, use Workspace > Shares to create public-facing or access-controlled shared views with locked filters. Shared views are ideal for stakeholders who need a single-focus report (e.g., “our GEO performance on Perplexity for the enterprise segment”) without having access to the full Qwairy platform.

What to Look For

Exports — Scheduling and Configuration

Scheduled exports are the lowest-friction automation path. Every export is a point-in-time snapshot of filtered data. The key configuration decisions are: which data types to include, what filter scope to apply (all prompts vs a specific topic tag), and what period to cover (rolling 30 days is standard for weekly stakeholder reports — it provides trend context without information overload).
ElementWhat it tells you
Export type selectionWhich data category to include — use “Performance Overview” for exec-level summaries
Filter scope (tag/topic/provider)Whether the export covers all activity or a specific business segment
Delivery scheduleWeekly is standard for marketing team operations; monthly for executive reporting
Format (CSV vs XLSX)CSV for data pipelines and BI tools; XLSX for human-readable stakeholder reports

Looker Studio — 12 Data Source Overview

The 12 Qwairy data sources cover every reporting dimension. For most teams, three data sources handle 80% of reporting needs: performance-overview (brand visibility trends), competitor-metrics (share of voice tracking), and prompt-performance (query-level visibility). The remaining nine data sources enable specialist reports: tag-performance for segmented reporting, source-domains and source-urls for citation audits, and the four intelligence data sources (shopping, local, search, social) for channel-specific reporting.
Pro Tip: Build a Looker Studio dashboard with a date range control and a brand/competitor selector that applies across all charts. This lets a single dashboard serve both a CMO who wants the 3-month trend and an SEO manager who wants last week’s data — no duplicate dashboards to maintain.

Filters That Help

FilterHow to use it for this question
Export typeMatch the export type to the audience — Prompt Performance for content teams, Performance Overview for marketing leadership
Topic / TagCreate separate scheduled exports per business segment for teams that own specific product areas
Looker data sourceSelect the data source that matches your reporting question — do not use answer-details for executive reporting; use performance-overview

How to Interpret the Results

Good result

Weekly exports are configured and delivering without manual intervention. A Looker Studio master dashboard is live with at least three data sources connected (performance-overview, competitor-metrics, tag-performance). The dashboard is bookmarked by all stakeholders and referenced in weekly marketing reviews. At least one API integration is live for pulling data into a data warehouse or custom alerting system. Shared views exist for external stakeholders (agency, exec team) who need access without full platform credentials.

Needs attention

The team is still pulling data manually each week for reporting. Looker Studio data sources are connected but the dashboard was never built or is not being used. Exports are configured but nobody subscribed to the delivery — the reports are generated but never read. Or: the API integration was started but data extraction is incomplete because the team is not familiar with the available endpoints.
Automated exports and Looker Studio dashboards show data as of their last refresh point. Exports are point-in-time snapshots; Looker Studio data sources refresh on a schedule set in the connector configuration (typically daily). If your team is using exported data to make time-sensitive decisions, always note the data timestamp and verify against the live Qwairy platform if a decision requires real-time accuracy. Automated reports are for trend analysis and stakeholder communication, not real-time monitoring.

Example

Scenario: A digital marketing agency managing GEO for 8 clients across fashion, food, and travel verticals wants to eliminate 5 hours per week of manual reporting and give each client self-serve access to their AI visibility data.
  1. Navigate to Workspace > Exports and configure 8 separate scheduled exports, one per client account, each covering Performance Overview + Competitor Metrics + Tag Performance, delivered weekly to the agency’s reporting inbox and cc’d to each client’s marketing lead. This immediately eliminates the weekly data-pull and email-writing task.
  2. Connect the Looker Studio integration and build a master template dashboard using the performance-overview, competitor-metrics, and tag-performance data sources with a client brand selector control at the top. Duplicate the template for each client, lock the brand filter, and share the link with each client’s stakeholder team. The travel clients get an additional local-insights data source panel showing regional AI visibility across their destination markets.
  3. Use the API to pull weekly visibility scores into the agency’s existing client reporting system (a custom Google Sheets tracker that feeds their monthly performance decks), using the IMPORTDATA formula pattern to auto-refresh. This populates the existing reporting template without any copy-paste steps and keeps GEO data alongside SEO and paid media metrics in one view.
  4. Create Workspace > Shares for the three clients who need access to GEO data but do not have Qwairy seats — locked views showing their brand’s visibility on their key topics, updated daily, accessible via a bookmarked link. One fashion client’s CMO bookmarks their share link and checks it every Monday morning before the team standup.

Go Further